We’ve done our best to compile a robust amount of information, articles, and research studies on a variety of topics.
We’ve done our best to compile a robust amount of information, articles, and research studies on a variety of topics.
Cerebellum: It is only 10% of brain volume but holds over 50% of the brain’s neurons. REF. Pediatric Occupational Therapist, Cris Rowan teaches, “Humans have two sensorimotor systems that are stimulated by movement: the vestibular system located in the brain (often referenced as our inner ear) and the proprioceptive system located in our muscles. These two systems integrate with each other and with the visual system to provide core stability, motor coordination, and balance. Children who don’t move enough, don’t adequately develop these essential sensorimotor systems resulting in poor core stability, poor coordination, and poor balance.” Email communication.
Crawling: REF Babies should crawl over 1,000 feet a day.
“The results aren’t in yet. Bonnie Nagel, one of the study’s investigators and a professor of psychiatry and behavioral neuroscience at Oregon Health & Science University, said she predicts they will find that when brains repeatedly process rapid, rewarding content, their ability to process less-rapid, less-rewarding things “may change or be harmed.” Quote from: WSJ article
There is an explosion of up to 100 billion new nerve connections in the adolescent brain. See here.
Also: “American children spend more time in front of electronic screens than any other activity except sleeping. The brain becomes what the brain does.” Dr. Douglas Gentile, award-winning educator, research scientist, ScreenStrong Podcast #23 with Dr. Doug Gentile
“Excessive screen time can impinge on children’s ability to develop optimally; it is recommended that pediatricians and health care practitioners guide parents on appropriate amounts of screen exposure and discuss potential consequences of excessive screen use. REF ”The researchers found that greater screen time at 24 months was associated with poorer performance on developmental screening tests at 36 months, and greater screen time at 36 months was associated with lower scores on developmental screening tests at 60 months.” REF
The brain is not fully developed until around age 25. (NCBI)
Activities you do as a child changes your brain. (Zero to Three)
The brain will prune pathways that are not being used. (Heathline) (YouTube—Neuronal Pruning)
Four critical factors for healthy development and learning are movement, touch, human connection, and nature (Rowan C 2010, Insel R 2001, Korkman M 2001)
The past decade has seen an unprecedented rise in numbers of referrals to occupational therapists for children with disorders such as printing and reading delays, attention and learning difficulties, and significant behavior problems, which has placed the occupational therapist under considerable workload management stress (Davidson & Bressler, 2010)
American Physiotherapy Association reports two-thirds of over 400 members surveyed report they’ve seen an increase in early motor delays in infants over the past six years (Jennings J 2005).
Infants with low tone, toddlers failing to reach motor milestones, and children who are unable to pay attention or achieve basic foundation skills for literacy, are frequent visitors to pediatric physiotherapy and occupational therapy clinics. Infant flat head has increased 600% in the past 5 years (Jennings J 2005).
For healthy growth and development, caregivers should minimize the time infants (aged less than 1 year), toddlers (aged 1–2 years) and preschoolers (aged 3–4 years) spend being sedentary during waking hours. (PaticipAction & CSEP 2014)
A team of researchers from the Division of Growth and Development, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand found that infants exposed to adult TV programs since 6 months of age had higher pervasive developmental problems, oppositional defiant scores, emotional reactive problems, aggression, and externalizing behaviors (Chonchaiya 2015).
A comparative study of two different types of neonatal infant care: the use of a ‘kangaroo care’ where the infant was carried in a pouch-type device at all times by the caregiver optimizing skin-to-skin contact, and the use of traditional incubators concluded that kangaroo care had a significant positive impact on the infant’s perceptual-cognitive and motor development and on the parenting process, and speculated that kangaroo care has both a direct impact on infant development by contributing to neurophysiological organization and an indirect effect by improving parental mood, perceptions, and interactive behavior (Feldman, R 2002).
Toddlers (aged 1–2 years) and preschoolers (aged 3–4 years) should accumulate at least 180 minutes of physical activity at any intensity spread throughout the day. (PaticipAction & CSEP 2014)
Experts have warned that parents who allow babies and toddlers to access tablet computers for several hours a day are in danger of causing “dangerous” long-term effects. Children as young as four are becoming so addicted to smartphones and iPads that they require psychological treatment (Ward V, 2013).
Study shows toddler tantrum intensity associated with problematic media use. Participants included 269 toddlers (2–3 years old) and their parents, who completed several observational tasks and questionnaires. Analyses revealed that higher levels of media emotion regulation was associated with more problematic media use and more extreme emotions when media was removed in toddlers. (ScienceDirect)
The well-known Harvard Grant Study, concluded that childhood chores, hard work and meaningful relationships lead to success and happiness in life. Childhood screens should take a backseat to developing those qualities first in your student’s life. (Harvard)
”The American Academy of Pediatrics issued a policy statement in 2004 indicating that children 0 to 2 years of age should not be exposed to any form of technology, and elementary-aged children, should be limited to 1 to 2 hours technology per day. Today’s ‘Virtual Child’ is using on average four times the recommended amount of technologies, with grave and long reaching results.” (C Rowan, 2010)
Countries such as China and South Korea are seeing such an increase in technology dependence in young people that public health officials are sounding the alarm. According to Greenfield, 20% of South Korean youth are addicted to technology, making for one of the highest rates in the world. (Social Work Today)
Children use an average of 7.5 hours a day of entertainment technology (television, video games, movies, internet, cell phones, iPods and other devices). This figure does not include any educational based technologies. (Kaiser Foundation Report)
Teens spend 9 hours on screens daily (Washington Post), (WVEA). A child frequently uses 2-3 devices at a time raising actual usage to 11 hours per day (Kaiser Foundation Report).
60% of teens ages 13 to 17 say that spending too much time online is a “major” problem. (PEW)
Over 75% of children have technology in their bedrooms away from parental supervision. (Kaiser)
30% of parents do set rules around technology and of those kids 30% use it less. (Kaiser)
30% of children first play with mobile devices when in diapers (AAP)
75% of 5 year olds can use an iPad but only 10% can tie their shoes. (Daily Mail)
71% of children under the age of two have watched television. (Common Sense Media)
After just 9 min. of viewing fast-paced TV cartoons, studies showed an immediate decrease in cognitive function. (AAP)
Fast Paced cartoons can cause there’s a downside to having deficits in executive function. Watching fast-paced cartoons like SpongeBob, even for just 9 minutes, hinders abstract thinking, short-term memory and impulse control in preschoolers. “What kids watch matters, it’s not just how much they watch,” he said. They are compromised in their ability to learn and use self-control immediately after watching such shows. Our brains didn’t evolve to process things that happen at this surreal speed, so it becomes exhausting to kids’ brains,” says Dr. Dimitri Christakis, director of the center for Child Health, Behavior and Development at Seattle Children’s Hospital. (ABC News)
Children who overuse fast paced technologies such as video games, are ‘pruning’ their brains to not access their frontal lobes, known for executive function and impulse control. (Small 2008, Murray 2006)[/vc_column_text][vc_column_text]
Multiple studies have shown atrophy in gray matter brain processing areas in internet/gaming addiction (Zhou 2011, Yuan 2011, Weng 2013,and Weng 2012). Areas affected included the important frontal lobe, which governs executive functions, such as planning, planning, prioritizing, organizing, and impulse control. Volume loss was also seen in the striatum, which is involved in reward pathways and the suppression of socially unacceptable impulses. A finding of particular concern was damage to an area known as the insula, which is involved in our capacity to develop empathy and compassion for others and our ability to integrate physical signals with emotion. Aside from the obvious link to violent behavior, these skills dictate the depth and quality of personal relationships.
Research has also demonstrated loss of integrity to the brain’s white matter (Lin 2012, Yuan 2011, Hong 2013 and Weng 2013). “Spotty” white matter translates into loss of communication within the brain, including connections to and from various lobes of the same hemisphere, links between the right and left hemispheres, and paths between higher (cognitive) and lower (emotional and survival) brain centers. White matter also connects networks from the brain to the body and vice versa. Interrupted connections may slow down signals, “short-circuit” them, or cause them to be erratic (“misfire”).
PET scan studies showed that technology use of greater than 5 hours per day was consistent with neurological “pruning” of tracks to the frontal cortex, known for executive functioning and impulse control (Gentile D 2009).
Graphic imaging studies highlight how gray matter, the working tissue of the brain’s cortex, diminishes, likely reflecting the pruning of unused neuronal connections during the teen years (Thompson, 2004).
Hong and colleagues found reduced cortical thickness in internet-addicted teen boys (Hong 2013), and Yuan et al found reduced cortical thickness in the frontal lobe of online gaming addicts correlated with impairment of a cognitive task (Yuan 2013).
Imaging studies have found less efficient information processing and reduced impulse inhibition and increased sensitivity to rewards and insensitivity to loss (Dong & Devito 2013), as well as abnormal spontaneous brain activity associated with poor task performance in youth who have internet addiction (Yuan 2011).
Proportion of gun use in TV violence statistically parallels U.S. gun homicide trends. (ScienceDaily)
Media violence has been categorized as a ‘public health risk’ in the US due to extensive research documenting links to aggression in both the toddler and the child populations. (Anderson 2007, Christakis 2007, Huesmann 2007)
A meta-analysis examined 380 studies that involved over 130,000 participants showing media violence causes aggression (Markman, 2010).
The American Academy of Pediatrics in 2016 released a policy statement called Virtual Violence regarding the causal impact of violent media content on consequent aggressive behavior, recommending no violent media exposure for children less than 6 years of age, and no first person online shooter games for ANY child (AAP 2016).
Today’s children experience screen violence on many different platforms, including computers, video games, and touch-screen devices, in addition to longstanding platforms, such as televisions. Increasingly, media researchers and pediatricians refer to children’s “media diets” as a way of conveying the amount and type of media that is consumed. Like food diets, media diets can be healthy or unhealthy, balanced or imbalanced, or healthy in quality but unhealthy in quantity. (AAP)
Tyrone Spellman, 27, played long hours on his Xbox, so when his 17-month-old daughter pulled on some cords and tipped the Xbox to the ground, breaking it, he become completely enraged. He struck her with such force that it “cracked her skull several times.” The autopsy too, revealed a broken arm that was at least two weeks old which social workers had failed to identify previously (CBS News, 2008).
Studies regarding the effects of violent video games on children found even violent cartoons increased aggression in 9-12 year old children. Violence is defined as doing intentional harm to another, not how graphic or gory the game is. Increased exposure to violent videogames results in more pro-violent attitudes, hostile personalities, less forgiveness, belief that violence is typical, and causes children to behave more aggressively in their everyday life (Anderson C 2007).
Young children are most vulnerable to media violence as they are more impressionable, can’t distinguish between fantasy and reality, cannot discern motives for violence, and learn by observing and imitating (Buchanan A 2002).
American Physician, Pediatrician, Psychiatrist and Psychologist Associations in 2001 declared media violence a Public Health Risk, stating violence is the leading cause of death in children (Committee on Public Education – Media Violence 2001).
Exposure to violent online games was associated with being a perpetrator as well as a perpetrator-and-victim of cyberbullying (Lam et.al., 2013).
A study on prosocial, neutral and violent video game usage in college students indicated that prosocial games reduced state hostility and increased positive state affect. Violent video games had the opposite effects. These effects were moderated by trait physical aggression (Saleem et.al., 2012).
A longitudinal study of the association between violent video game play and aggressive behavior in adolescents has reported that sustained violent video game play was significantly related to steeper increases in adolescents’ trajectory of aggressive behavior over time. Moreover, greater violent video game play predicted higher levels of aggression over time, after controlling for previous levels of aggression, supporting the socialization hypothesis (Willoughby et al., 2012).
Through intensive video game play, elements from the game world can trigger thoughts and imagery outside the game world, influencing the perception and interpretation of stimuli in everyday life (Poels 2015).
Game Transfer Phenomena, where the player transfers visual and auditory imagery and behaviors from the virtual to the real, is reported to affect 30-40% of gamers (Ortiz de Gortari, Aronsson, & Griffiths, 2011, Ortiz de Gortari & Griffiths, 2014), putting into question possible associations to the current rise in mass killings.
3-D gaming increases anger because the players felt more immersed in the violence when they played violent games. As the technology in video games improves, it has the ability to have stronger effects on players (Grabmeier 2015).
Media exposure is now often active, meaning the user is more immersed and more participatory in the gaming experience (Dunckley 2015).
Six hundred and seven 8th- and 9th-grade students from four schools participated in a study examining the effects of violent video game habits on adolescent hostility, aggressive behaviors, and school performance. Adolescents who expose themselves to greater amounts of video game violence were more hostile, reported getting into arguments with teachers more frequently, were more likely to be involved in physical fights, and performed more poorly in school (Gentile et.al., 2004).
The evidence strongly suggests that exposure to violent video games is a causal risk factor for increased aggressive behavior, aggressive cognition, and aggressive affect and for decreased empathy and prosocial behaviour (Moore, 2010)
In the short term, media violence can increase aggression by priming aggressive thoughts and decision processes increasing physiological arousal, and triggering a tendency to imitate observed behaviors. In the long-term, repeated exposure can produce lasting increases in aggressive thought patterns and aggression-supporting beliefs about social behaviors, and can reduce individuals normal negative emotional responses to violence (Anderson C 2003).
Lieutenant Colonel Dave Grossman is the nation’s kill specialist, a retired West Point psychology professor and author of many books including: On Killing: The Psychological Cost of Learning to Kill in War and Society, Stop Teaching Our Kids to Kill: A Call to Action Against TV, Movie and Video Game Violence, The Assassination Generation, and more. He explains why we are drawn to watch violence. “Survival in nature has always depended on the human brain adapting quickly to changes in the environment, and violence is the ultimate survival data… If there is violence in their environment [like a schoolyard fight or media violence], children are driven to witness it so they can adapt to it as quickly as possible.”
“There is a biological impact of violent video games on developing human brains,” Grossman says. “Social learning, role models, and our powerful innate need to search for survival data all combine to make violent video games attractive, addictive, and extraordinarily powerful tools to train our children to become violent human beings.”
Source: Are Video Games Making Our Kids More Violent? and Assassination Generation: Video Games, Aggression, and the Psychology of Killing, pg. 60
See also: Chronology of Findings, Statements, and Actions on Media Violence (excerpt from Assassination Generation by Lt. Col. Dave Grossman)
“Children not only learn to read more quickly when they first learn to write by hand, but they also remain better able to generate ideas and retain information. In other words, it’s not just what we write that matters — but how.” (NY Times)
According to a study conducted by the University of Washington, learning to print, write in cursive, and type on a keyboard all contribute to brain development in students. But instruction in cursive writing in particular seems to produce the greatest neurological effects.
The key difference is that cursive writing stimulates brain synapses and the synchronicity between both sides of the brain, unlike printing or typing. William Klemm, senior professor of neuroscience at Texas A&M University, states, “Handwriting (cursive writing) dynamically engages widespread areas of both cerebral hemispheres.” He references brain scans taken during handwriting that show activation of extensive regions of the brain involved in thinking, language, and working memory.
Handwriting expert Jeanette Farmer provides a strong argument for setting aside time for cursive instruction. “Handwriting has a physiological/psychological link in the brain,” she states. “This link is so strong that nothing else done in the classroom can begin to compare with the powerful impact that repetitively manipulating the thumb and fingers over time has on the young brain.” (We Are Teachers)
Teachers spend an average 14 minutes per day teaching handwriting, far less than the 45 minutes per day spent in the 60’s and 70’s, and slightly less than the 15 minutes per day mandated in the 80’s. A US study by Steven Graham reports that 90% of US primary school teachers’ college education did not adequately prepare them to provide lessons in penmanship, and therefore do not devote much time to teaching printing. Textbooks offer less information on teaching printing, and universities have less instruction. Handwriting teaching methods and methods for student evaluation are inconsistent and non-standardized. 100% of the 169 primary teachers who participated in this study reported they thought printing should be taught as a separate subject (Graham S 2008).
Another study by Graham documents that in 1996 70% of teachers indicated that handwriting was “not as good as it should be”, and expressed concern regarding the “downward plunge in the standards of handwriting legibility required of elementary school children”. Authors also state that students who have difficulty with automaticity of writing, thus achieving poor quality and quantity of written output, results in avoidance and minimization of the writing process. Authors state that for beginning writers, both visual and verbal modeling appears to be the most effective means of introducing a letter prior to practice i.e. the teacher demonstrates how a letter is made while describing how it is formed (Graham S et al 1993). Graham goes on to report in 2000 study how poor ability to produce quality and quantity of written output can result in a long term disability in written expression (Graham S et al 2000).
In Steven Graham’s 2006 book Handbook of Handwriting Research, this meta-analysis concludes that printing strategy instruction is effective in improving student’s writing performance in the areas of quality, elements, length, and revisions, with results maintained over time and generalized to new tasks and situations.
Steven Graham’s 2007 book Best Practices in Handwriting Instruction draws the correlation between poor printing and subsequent difficulty with spelling, sentence composition, math, science and any subject requiring printing skill. Graham states “Failure to develop legible and automatic letter and word formation interferes with content in writing.” and “Because of the excessive labor and unattractive results involved in such writing, students are more likely to avoid or minimize the process when possible”. Graham instructs that for beginners, both visual and verbal modeling is the most effective means of introducing a letter prior to practice.
Brain scans show that more of the areas of the brain associated with memory formation are activated when writing than when typing (Darling, 2014).
An Australian cross sectional study was conducted in order to look at the trend in children’s after school activities. Out of 2,940 reports of children’s activities, 25% involved physical activity, including organized sports and free play. 51% of activities were sedentary in nature. Among sedentary activities, television and screen time were the most commonly reported. 81% of activities were indoor activities. Outdoor activities were more likely to be active than indoor activities (69% vs. 14%). (Engelen et. Al., 2014).
Research published in the journal Pediatrics found that kids who engaged in a regular physical activity program had improved cognitive performance and brain function. (Mercola October 2014)
Child access to ‘green space’ for 20 minutes a day significantly reduces ADHD and 20 minutes of cardio exercise per day significantly increases attention. (Kuo 2004, Ratey 2008)
A boy who spent an entire day kneeling down playing computer games needed hospital treatment for a blood clot in his leg (BBC News, 2004).
These environmental changes are faster than human being’s ability to adapt and evolve. Children who immerse themselves in virtual reality may exhibit signs of sensory deprivation, as they become disconnected from the world of physical play and meaningful interactions (Tannock M 2008).
Scottish study reports toddlers aged 3 years engaged in only 20 minutes per day of moderate to vigorous physical activity, which correlated with a decline in total energy expenditure and sedentary behavior. Study identifies TV, video games, strollers as “culprits” (Reilly J 2004).
Delayed vestibular maturation correlates significantly with sensory integrative dysfunctions, slow vision processing, impaired hearing, and reading disability (Solan H 2007).
Developing children require 2-3 hours per day of active rough and tumble play to achieve adequate stimulation to the vestibular, proprioceptive, tactile and attachment systems (National Association for Sport and Physical Education 2002). This type of sensory input ensures normal development of posture, bilateral coordination and optimal arousal states necessary for attainment of printing and reading literacy (Schaff R 2007, Braswell J 2006, Rine R, 2004).
On cognitive testing, adult musicians and musically trained children showed enhanced performance on several aspects of executive functioning. On fMRI, the children with musical training showed enhanced activation of specific areas of the prefrontal cortex during a test that made them switch between mental tasks. These areas, the supplementary motor area, the pre-supplementary area and the right ventrolateral prefrontal cortex, are known to be linked to executive function. (ScienceDaily)
Overuse of TV and video games may result in children lacking essential connection with themselves, others and nature. Child now fear nature, limiting outdoor play which is essential for achieving sensory and motor development (Louv R 2005).
Prison inmates spend more time outside than the average child. (Fee)
Many of today’s parents perceive outdoor play is ‘unsafe’, even though most crimes against children are instigated by family members, limiting essential developmental components usually attained in outdoor rough and tumble play. (Burdette H 2005)
The health effects of “forest bathing”, or taking walks in the woods, are measured in several recent studies. Subjects in a study by Qing Li and his colleagues take a walk in a forest park in Saitama prefecture, north of Tokyo, Japan, in September 2010. The sample size is small, but the results indicate that time spent in forests may have such salutary effects as lowered blood pressure and noradrenaline levels (Philips, 2001).
There is a positive correlation between physical activity and seven categories of cognitive performance: perceptual skills, intelligence quotient, achievement, verbal tests, math tests, developmental level, and academic readiness. Studies show that a reduction of 240 minutes per week of academic class time, replaced with increased time for PE, led to higher math scores. Adding PE time alone does not improve grades, it is vigorous exercise that improves cognition e.g. climbing walls, exercise bikes, tread mills, dancing (Ratey J 2008).
Reading for pleasure at 15 is a top predictor for academic & life success. (Renaissance)
Patricia Greenfield, distinguished professor of psychology at UCLA, analyzed more than 50 studies on learning and points out that reading for pleasure among young people has decreased in recent decades, which is problematic because “studies show that reading develops imagination, induction, reflection and critical thinking, as well as vocabulary…in a way that visual media such as video games and television do not.” (TIME)
Between kindergarten and twelfth grade students with an average daily reading time of 30+ minutes are projected to encounter 13.7 million words. At graduation, their peers who averaged less than 15 minutes of reading per day are likely to be exposed to only 1.5 million words. The difference is more than 12 million words. (Renaissance)
See also: Proust and the Squid: The Story and Science of the Reading Brain by Maryanne Wolf
Comparative study of digital (screen) reading vs. print reading reports the following problems with screen reading:
Literacy is defined as competency in handwriting, reading, math and communication skill. A foundation in spoken language competence in the early years, is important for the successful achievement of literacy, academic and social competence. Printing is a precursor to reading and speech fluency, and poor handwriting skill is related to language disorders. Motor planning required for automatic letter production when printing “maps” the sensorimotor cortex for eventual visual letter recognition for reading, and word finding for oral sentence production (Shanahan T 2007, Goldberg E 1999, Tomblin B 2006).
In the U.S., more than eight million students in grades 4-12 read below grade level, and while they can decode, they cannot comprehend what they read. Between 1971 and 2004, the reading level of America’s 17 year olds showed no improvement at all. 40% of high school graduates lack the literacy skills employers seek. Early exposure to print is largest predictor of reading ability (National Center for Education Statistics 2005).
Children who cannot print are illiterate. Teacher misperception that the computer will replace the need to print, is unfounded and shortsighted. Slow printing speed resulting from inadequate teaching of letter and number formation, impacts on every subject and is the leading cause of illiteracy (Rowan C 2010).
The Psychology of How Mind-Wandering and “Positive Constructive Daydreaming” Boost Our Creativity and Social Skills (Brain Pickings).
Scott Barry Kaufman, NYU psychology professor and author of Ungifted: Intelligence Redefined wrote that mind-wandering can offer significant personal rewards: “These rewards include self- awareness, creative incubation, improvisation and evaluation, memory consolidation, autobiographical planning, goal driven thought, future planning, retrieval of deeply personal memories, reflective consideration of the meaning of events and experiences, simulating the perspective of another person, evaluating the implications of self and others’ emotional reactions, moral reasoning, and reflective compassion… From this personal perspective, it is much easier to understand why people are drawn to mind wandering and willing to invest nearly 50 percent of their waking hours engaged in it.” (HuffPost)
“We all – adults and children, writers and readers – have an obligation to daydream. We have an obligation to imagine. It is easy to pretend that nobody can change anything, that we are in a world in which society is huge and the individual is less than nothing: an atom in a wall, a grain of rice in a rice field. But the truth is, individuals change their world over and over, individuals make the future, and they do it by imagining that things can be different.” (Neil Gaiman)
“There are countless research studies showing that kids who are more involved in extracurriculars fair better on just about every conceivable metric— they earn better grades, have higher self-esteem, are less likely to get in trouble and so forth…[t]hese longer-term studies come to the same conclusion: more participation in activities predicts better outcomes.” (Duckworth 2016)
One study found that: youths who participated in organized activities for 2 years demonstrated more favorable educational and civic outcomes in young adulthood than those who participated for 1 year. More intensive participation was also associated with greater educational, civic, and occupational success in young adulthood particularly among youths who participated in activities for 2 years…[o]f note, analyses revealed that both temporal measures of participation were positively associated with young adult outcomes as many as 8 years after high school. (NCBI)
The number of overweight or obese infants/young children aged 0-5 increased from 32 million globally in 1990, to 42 million in 2013 (WHO, 2014).
Early childhood screen overuse can cause irreversible lifelong problems including obesity due to the sedentary nature of screen activities. New research found that obese children had a thinner pre-frontal cortex than normal weight children. The thinner cortex could be a factor in the decreased executive function earlier studies observed among children with higher BMI. The new study confirmed that the obese subjects in the study had poorer working memory compared with normal weight children. (NCBI)
Sedentary lifestyle is resulting in one in three children with developmental delay, and one in six children with obesity at school entry. (Kershaw P 2009)
Professor Andrew Prentice told the British Association’s science festival in Leicester that due to the secondary effects of obesity on child cardiovascular systems and potential for diabetes, the 21st century generation may be the first generation to not outlive their parents (BBC News, 2002).
There is a large body of evidence from all study designs which suggests that decreasing any type of sedentary time is associated with lower health risk in youth aged 5-17 years. In particular, the evidence suggests that daily TV viewing in excess of 2 hours is associated with reduced physical and psychosocial health, and that lowering sedentary time leads to reductions in BMI (Tremblay et al., 2011).
TV and video game use accounts for 60% of childhood obesity, and is now considered a North American ‘epidemic’ (Tremblay M 2005, Strauss R 2001).
Health care providers are finding more and more children with type 2 diabetes, a disease usually diagnosed in adults aged 40 years or older (Center for Disease Control and Prevention, 2010).
Health study intervention lowered obesity rate in youth at high diabetes risk. Interventions included healthier food choices, longer, more intense periods of physical activity, and participation in activities that promoted long-term healthy behaviors (National Institute of Health, 2010).
Climbing obesity rates in European countries have lead a team of child health experts to recommend placing obese children in foster care, citing that parents of obese children are negligent in some way as to have indicated that the parents have caused their child’s obesity. By neglecting to identify child technology overuse as a causal link to obesity, these experts are subjecting whole families to what might be an unnecessary and uncalled for traumatic and catastrophic event (Vilner R, 2010).
One in four adults wake up at least once during the night to check their smartphones. One in three teens do the same. (Common Sense Media)
Biological sleep patterns shift toward later times for both sleeping and waking during adolescence — meaning it is natural to not be able to fall asleep before 11:00 pm.
Teens need about 8 to 10 hours of sleep each night to function best. Most teens do not get enough sleep — one study found that only 15% reported sleeping 8 1/2 hours on school nights.
Teens tend to have irregular sleep patterns across the week — they typically stay up late and sleep in late on the weekends, which can affect their biological clocks and hurt the quality of their sleep.
Despite concerns about screen media potentially disrupting sleep, many children watch TV or videos, play games, or use screen media for other purposes in the hour before bedtime. (Common Sense Media)
For teens, not getting enough sleep or having sleep difficulties can:
Source: The Sleep Foundation
“The evening when children should be finishing homework or reading a book or cuddling with their parents is now used for screen time or gaming. They are given a reward for finishing the day. It takes away from ideal sleep.” —Dr. Kenneth Weeks
According to the American Academy of Ophthalmology (2014), 42% of the U.S. population has myopia.
Myopia is associated with potentially blinding complications such as glaucoma, retinal detachment, and myopic macular degeneration.
Eye experts attribute the alarming rise of myopia or nearsightedness to the overuse of handheld devices (Yang, 2013).
Dr. Liu, head of the new Myopia Control Clinic at UC Berkeley’s School of Optometry states children are particularly vulnerable to developing myopia because of their high tablet usage as their eyes are still developing and may begin to interpret nearsightedness as a normal state (Liu, 2013).
Research shows increasing time spent outdoors may be a simple strategy by which to reduce the risk of developing myopia and its progression in children and adolescents. Myopia is irreversible (Sherwin et al., 2012).
There’s a 49% increase risk of expressive speech delay for every 30 min of screen time. (Science Daily)
One in five toddlers have speech and language delays associated with overexposure to television, and Dr. Sally Ward recommends improving quality and quantity of communication with parents to optimize speech and language acquisition (Ward S 2004).
Dimitri Christakis, pediatric researcher at Children’s Hospital and Regional Medical Center in Seattle, reports that children learn language skills largely from verbal interactions with their parents. In his recent 2009 study where he used digital recorders on both parents and children in their homes, Dr. Christakis found that adults typically utter approximately 941 words per hour, yet these adult words are almost completely eliminated when television is audible to the child. Dr. Christakis found that each hour of audible television was associated with significant reductions in child vocalizations, vocalization duration, and conversational turns. On average, each additional hour of television exposure was also associated with a decrease of 770 words the child heard from an adult during the recording session. Since 30 percent of American households now report having the television always on, even when no one is watching, researchers report these findings have grave implications for language acquisition and therefore perhaps even early brain development (Christakis, 2009).
Researchers found that the heart’s capacity for friendship obeys the biological law “use it or lose it”, and when humans don’t engage in face to face interaction, they actually lose the biological ability to do so (Frederickson, 2013).
A study on the effect of background television on the quantity and quality of parental speech directed at toddlers has found that background TV reduced words per minute, utterances per minute, and number of new words (Pempek et.al., 2014).
In a study conducted on the Use of Therapeutic Robot Companions as Social Agents for Reducing Pain and Anxiety in Pediatric Patients, Dr. Okita reports that when a child and parent were together during robot therapy sessions, the patients’ pain ratings decreased significantly. There were no differences in the pain ratings when the child interacted with the robot animal without the parent present (Okita, 2013.)
A recent study revealed that 20% of parents did not know how to “play” with their children, and one third of parents found play “boring” (Guardian News, 2010).
Parent time spent connected to various forms of technologies is disconnecting them from forming healthy, primary attachments with their children. This parent-child “disconnection” is a major contributing factor to the reported increased incidence of mental diagnoses (Flores P 2004).
Too many parents are distracted by mobile devices when they should be watching their kids, causing a recent rise in injuries of 12% between 2007 and 2010, after falling for much of the prior decade, according to the most recent data from the Centers for Disease Control and Prevention (Worthen, 2012).
40 out of 55 parents were observed to use their cell phones during a restaurant meal, and highly absorbed parents responded more harshly to child behavior (Radesky 2014).
95% of children report they would rather go outside and play than use technology (participACTION 2013).
Parents who stay in touch with their university aged children using social networking (texts, email, Facebook), have children who are more anxious, lonely and who indicate loneliness, anxious attachment, as well as conflict within the parental relationship, than children who’s parents stay in touch by phone (Gentzler, 2010).
Dr. Montagu reports that when children lack touch and human connection, they may respond by ‘turning in’ (anxiety, depression) or ‘turning out’ (aggression) (Montagu A 1972).
Dr. Larry Rosen, American professor of psychology reports that our obsession with technology is causing an epidemic of psychological disorders, with social networking related to narcissism, and texting to obsessive compulsive disorder and ADHD (Naish, 2013).
Research shows that with increased technology use, including discussion forums & social media, at the consequence of face-to-face, human interaction, we lose empathy and our humanity (CLBB & Boston Society for Neurology and Psychiatry, 2013).
Teens who visit social-networking sites every day but see their friends in person less frequently are the most likely to agree with the statements “A lot of times I feel lonely,” “I often feel left out of things,” and “I often wish I had more good friends.” Teens’ feelings of loneliness spiked in 2013 and have remained high since.
Forty-eight percent more girls said they often felt left out in 2015 than in 2010, compared with 27 percent more boys. Girls use social media more often, giving them additional opportunities to feel excluded and lonely when they see their friends or classmates getting together without them.
The more time teens spend looking at screens, the more likely they are to report symptoms of depression. Eighth-graders who are heavy users of social media increase their risk of depression by 27 percent.
Teens who spend three hours a day or more on electronic devices are 35 percent more likely to have a risk factor for suicide, such as making a suicide plan.
Since 2007, the homicide rate among teens has declined, but the suicide rate has increased. As teens have started spending less time together, they have become less likely to kill one another, and more likely to kill themselves. In 2011, for the first time in 24 years, the teen suicide rate was higher than the teen homicide rate.
Source: The Atlantic. Condensed from Dr. Jean Twenge’s research.
Teens who spend five or more hours per day on their devices are considered heavy users. These heavy users are 71% more likely to have one risk factor for suicide. (NPR)
Heavy screen users are 48% to 171% more likely to be unhappy, to be in low in well-being, or to have suicide risk factors such as depression, suicidal ideation, or past suicide attempts. Heavy users were twice as likely to report having attempted suicide. (NCBI)
Every hour of technology use per day is associated with a 10% increased risk of attention problems. (CDK)
ADHD should be re-termed “attention inconsistency”, as these children have episodic attention ability. Attention Restorative Theory has three tenants: 1) attention ability is subject to fatigue and restoration 2) voluntary and interesting tasks are less fatiguing than involuntary and uninteresting tasks 3) attention ability is subject to environment modifications (Kaplan S 1995).
The rise of A.D.H.D. diagnoses and prescriptions for stimulants over the years coincided with a remarkably successful two-decade campaign by pharmaceutical companies to publicize the syndrome and promote the pills to doctors, educators and parents. With the children’s market booming, the industry is now employing similar marketing techniques as it focuses on adult A.D.H.D., which could become even more profitable (Schwarz, 2013).
ADD/ADHD has become an epidemic in the last 30 years. Now one in seven boys has received this diagnosis by the time he reaches the age of 18, according to the Centers for Disease Control and Prevention (Peper 2014)
50% of children on ADHD stimulant medication get depressed and are prescribed antidepressants, and 50% develop obsessive compulsive disorder, which looks like a manic phase of bipolar disorder and are often prescribed lithium. (Breggin P 2008)
Study investigating sensory over-responsivity in children with ADHD shows substantiated links between sensory over-responsivity and anxiety, in both typical and ADHD children. Results suggest that ADHD should be considered in conjunction with anxiety and sensory responsivity; both may be related to bottom-up processing differences, and deficits in prefrontal cortex/hippocampal synaptic gating (Lane, S 2010).
Inattention was greater in ADHD than SMD, while SMD had more sensory issues, somatic complaints, anxiety/depression, and difficulty adapting than ADHD, as well as greater physiological/electrodermal reactivity to sensory stimuli than ADHD. Evidence suggests ADHD and SMD are distinct diagnoses (Miller LJ 2012).
Exposure to “green space” results in a significant reduction in ADHD, in both areas of impulse control and attention ability. Nature not only has attention restorative benefits, but also activates all the senses to enhance multi-sensory learning ability (Faber-Taylor A 2001, Kuo F 2004).
Studies have shown that access to “green space” for 20 minutes per day significantly reduced ADHD symptoms, yet drug use continues to climb. Inner city children suffer from ADHD at three times the rate of children in rural areas (Kuo F 2004).
Sensory Processing Disorder affects 1 in 20 children (SPDF Foundation)
The ability of a child to adapt to sensory responses in their environments emerges early in life as a protective and discriminative mechanism, and as children grow they typically become better at tolerating uncomfortable sensory stimuli by applying strategies to self regulate. Sensory over-responsivity reflects a failure to achieve a balance between sensitization and habituation, and can affect many aspects of a child’s life in both home and school settings. A study long term study looked at infants with sensory over-responsivity when they entered the school system and found that early sensory sensitivities were associated with sensory over-reactivity status at school-age (Ben-Sasson, 2010). Technology overuse may result in sensory over-reactivity (Rowan, 2010).
Children with photosensitivity have increased risk of epilepsy when using video games or other high speed visual technologies (Singh R 2004 and Kasteleijn-Nolst Trenite DG 2002).
15% of elementary-aged children are now taking some form of psychotropic medication, such as stimulants, anti-depressants, anti-anxiety and anti-psychotics despite mounting research indicating psychotropic medication is not effective, in many cases proven harmful and in some cases is actually fatal. (Zito J, et.al, Raine ADHD Study)
A French study used to explore the association between Internet addiction symptoms, body image esteem, body image avoidance, and disordered eating found that body image avoidance was associated with Internet addiction symptoms among both genders. Controlling for body–mass index, Internet addiction symptoms, and body image avoidance were both significant predictors of disordered eating among women. These findings support the self-presentational theory of Internet addiction and suggest that body image avoidance is an important factor (Rodgers et.al, 2013).
Facebook usage by teen girls was significantly correlated with weight dissatisfaction, drive for thinness, thin ideal internalization, and self-objectification (Meier, 2013).
The DSM-5 suggests that IGD may be identified by five or more of the following criteria within a 12-month period. These criteria include:
Source: American Academy of Pediatrics
Compared with healthy subjects, Online Gaming Addicts (OGA) individuals showed significant gray matter atrophy in the right orbitofrontal cortex, bilateral insula, and right supplementary motor area. According to tract-based spatial statistics analysis, OGA subjects had significantly reduced FA in the right genu of corpus callosum, bilateral frontal lobe white matter, and right external capsule (Weng et al., 2013).
Persuasive design of technology includes built-in elements to keep students hooked on certain entertainment technologies which become hard to resist during class time. One of these elements is the lack of stoppage cues, the natural stopping point for non-addictive screens. (Medium)
In 2018, the World Health Organization listed Internet Gaming Disorder as an official diagnosis.
8.5% of gamers (ages 8 to 18) are clinically addicted to playing video games. (Washington Post)
Gamers can be risky, unsafe drivers. (NHPR)
Forty-one percent of people who play online video games admitted that they played computer games as an escape from the real world. (Hussain)
People who have higher levels of trait anxiety, aggressive behavior, and neuroticism are at a higher risk for video game addiction. (Mehroof)
The same regions of the brain that are activated when craving occur in alcohol and drug addicts are also activated in video game addicts when they see images of computer games. (Ko)
In a study examining the amount of time spent playing video games and indicators of positive and negative psychosocial adjustment. Lower playing time was associated with higher life satisfaction and prosocial behavior and lower externalizing and internalizing problems, whereas the opposite was found for high levels of play (Przybylski, 2014).
People who spend more time playing video games have more attention problems, and individuals who are more impulsive or have more attention problems subsequently spend more time playing video games (Swing et al, 2010).
12% of boys and 8% of girl video game players exhibit pathological patterns of play, and fit the DSM IV category of addiction. Study also showed that pathological gamers are twice as likely to have ADD or ADHD (Gentile D 2009).
Research on video games have shown dopamine (implicated in reward processing and addiction) is released during gaming (Koepp 1998 and Kuhn 2011) and that craving or urges for gaming produces brain changes that are similar to drug cravings (Ko 2009, Han 2011). Other findings in internet addiction include reduced numbers of dopamine receptors and transporters (Kim 2011 and Hou 2012).
A Harris Interactive Poll in the US release in April 2007 found that 8.5% of youth gamers could be classified as “pathological” or “clinically addicted” to playing video games. A British survey of gamers indicated 12% reported being “addicted”. 2.4 % of South Korea from ages 9 – 39 have video game addiction according to a government funded survey. Another 10.2% were found to be borderline cases at risk of addiction. Addiction was defined as an obsession with playing electronic games to the point of sleep deprivation, disruption of daily life and a loosening grip on reality, depression and with drawl when not playing. 10 South Koreans died in 2005 from disruption in blood circulation caused by prolonged use. S. Korea has government funded counseling and clinics for gamers. Most addictive video games are the MMORPG’s massively multiplayer online role playing games (Washington Post 2006).
Children who were more impulsive and less comfortable with other children spent more time playing video games, the study found. Two years later, these heavy gamers, who played an average of 31 hours a week, compared with 19 hours a week for other students, were more likely to suffer from depression, anxiety and social phobias (Rabin, 2011).
95 percent of teens have access to a smartphone. (Pew Research Center)
The risk of smartphone addiction is highest in young people, especially females. (NCBI)
One in four youth is dealing with problematic smartphone usage. (BMC Psychiatry)
“…from a behavioral standpoint, children who use smartphones today are more isolated, less likely to play outside, more prone to anxiety, and less happy than their cohorts of even a decade ago.” (Social Work Today)
There is slightly less consensus among teens who say social media has had a mostly negative effect on people their age.
The top response (mentioned by 27% of these teens) is that social media has led to more bullying and the overall spread of rumors.
17% of these respondents feel [social media] platforms harm relationships and result in less meaningful human interactions.
Similar shares think social media distorts reality and gives teens an unrealistic view of other people’s lives (15%), or that teens spend too much time on social media (14%).
Source: The Pew Research Center
More than one in five teen drivers involved in a car accident were distracted due to smartphone use. (Carsurance)
15.6% of young drivers (ages 18-24) have admitted to texting while driving and 20% of them claim to be “not familiar at all” with their state’s texting while driving laws. This is compared with 12.2% who also reported as being “not at all familiar” with state laws. (The Zebra)
14% of fatal crashes involved the use of cell phones. (The Zebra)
14% of distracted driving deaths in driving accidents were attributed specifically to cell phone use, as opposed to other forms of distracted driving. (The Zebra)
In 2016, almost four thousand people were killed due to the actions of a distracted driver. (The Zebra)
4,637 people died in car crashes in 2018 due to cell phone use and electronic device use. (The Zebra)
3,255 = number of teen (15 to 19) drivers involved in fatal crashes in 2017. (NHTSA)
Research has found that dialing a phone number while driving increases your teen’s risk of crashing by six times, and texting while driving increases the risk by 23 times. (NHTSA)
Time spent using social media was associated with a larger number of online social network “friends.” However, time spent using social media was not associated with larger offline networks, or feeling emotionally closer to offline network members (Pollet T 2011).
A study on the effect of Facebook on negative interpersonal relationship outcomes indicate that a high level of Facebook usage is associated with negative relationship outcomes, and that these relationships are indeed mediated by Facebook-related conflict (Clayton, 2013).
A new University of Michigan study on college aged adults finds that the more they used Facebook, the worse they felt (Hu, 2013).
Survey of 3,767 grade 6, 7, 8 students who attended six schools in the US found 11% had been electronically bullied and 4% indicated they had bullied a victim in the past month. Half of the electronic bully victims reported not knowing the perpetrator’s identity (Kowalski R 2007).
Internet bullying is correlated with school behavior problems, and media literacy programs may mitigate the negative effects of electronic media on youth (Worthen M 2007).
A study examined perceptions and experiences of cyberbullying in a series of 18 focus groups conducted with young people aged 9–19 in the UK. The results suggest that cyberbullying is perceived to be problematic and serious but relatively routine part of young people’s online lives and interactions (Bryce, 2013).
Cyberbullies demonstrated less empathic responsiveness than non-cyberbullies, and were also more afraid of becoming victims of cyberbullying. The findings confirm and substantially extend the research on the relationship between empathy and aggressive behavior. From an educational point of view, the present findings suggest that training of empathy skills might be an important tool to decrease cyber bullying (Steffgen G 2011).
In 2006, 42.7% of Internet users viewed porn. (Family Safe)
Every 39 minutes a new pornographic video is being produced in the United States. (Deseret News)
First time porn viewing is now as early as 3 years old. (FND)
64% of young people, ages 13–24, actively seek out pornography weekly or more often. (FND)
Porn could have a bigger economic influence on the US than Netflix. (Quartz)
Porn sites get more visitors each month than Netflix, Amazon and Twitter combined. (Huffpost)
PornHub, the largest porn website on the internet, had 42 billion visits in 2019, which breaks down to 115 million views a day. (Forbes)
Researchers report 42% of children ages 10-17 actively use pornography, with average age of first exposure 6 years (Wolack et al., 2007).
Dr. Phil Zimbardo, a psychology professor at Stanford University, discussed the demise of guys, stating that boys are flaming out academically and wiping out socially with girls and sexually with women. Of all the activities on the Internet, porn has the most potential to be addictive. Everything in the porn user’s life is boring except porn. As a result of watching porn, boys’ brains are being digitally rewired into a never-ending desire for change, constant arousal, novelty and excitement. This creates real issues when it comes to romantic relationships that grow gradually and subtly (Baumgardner, 2013).
The rate of speed at which erotic images are delivered can alter brain chemistry and rewire the pleasure center of the brain, creating other changes in body and sexual function, including addiction and erectile dysfunction. Because an increasing amount of extreme images are sought (in part because of these brain changes), more violent and humiliating images are needed (Sellers, 2013)
Six-year-old children were acting out sex and drug scenes from Grand Theft Auto reports headteacher (The Telegraph 2014).
Children who use pornography are significantly more likely to report delinquent behavior and substance use in the previous year, as well as depression and lower levels of emotional bonding with their caregiver (Ybarra et al., 2005).
An unfortunate consequence of porn addiction is desensitization and tolerance, requiring increased intensity of stimuli to satiate craving, including prostitution and sexual depravity (children, sexual violence), (Klein 2009).
Universities are hiring rape counsellors and forming rape prevention teams due to an escalation in campus sexual violence (MacLeans 2013).
According to a survey of nearly 1,300 middle school students in Los Angeles, adolescents who sent or received sexually explicit photos or text messages were three to seven times more likely to be sexually active than their peers not involved in sexting (Goodier, 2014).
Studies show 25% of 10 year old children are sexting, 40% of teen girls (girls 2x boys) have posted or sent sexually explicit images and 80% of teens under the age of 18 have sexted. Sexted was defined as sending a nude photo of oneself (Englander, 2012).
Results demonstrate that more frequent viewing of pornography is associated with a higher incidence of hooking up and a higher number of unique hook up partners. (Braithwate et al September 2014)
Research shows at least 90% of kids between the ages of 8 and 16 have watched pornography online at least once. Boys ages 12-17 are actually the largest consumers of online porn and is actually being compared to being the drug of choice for youth (Woda, 2014).
—Continue with “How Porn Changes The Brain” by FightTheNewDrug
[/vc_column_text][vc_column_text]Porn consumption follows a very predictable pattern that’s eerily similar to drug use. Over time, excessive levels of “pleasure” chemicals cause the porn consumer’s brain to develop tolerance, just like the brain of a drug user. In the same way that a junkie eventually requires more and more of a drug to get a buzz or even feel normal, regular porn consumers will end up turning to porn more often or seeking out more extreme versions—or both—to feel excited again. And once the porn habit is established, quitting can even lead to withdrawal symptoms similar to drugs.
—Continue with “How Porn Affects The Brain Like A Drug” by FightTheNewDrug
82% of online sex crimes against minors started when the perpetrator used the victim’s social networking site to gain information and introduction. (Prescott)
Children can be groomed online in under 45 minutes (Telegraph)
Tech has normalized communication with strangers. (NY Times)
The number of internet child pornography images has increased 1500% since 1988. (Clancy)
624,000+ child porn traders have been discovered online in the U.S. (FND)
In 2019, Cybertipline reports included 69.1 million images, videos and other files related to child sexual exploitation. (NCMEC)
17% of Dutch adolescents surveyed reported real-life encounters with online contacts; one third of these adolescents did not tell their parents about the encounters. Low self-esteem and certain Internet-related parenting techniques were related to the prevalence of such encounters (Van Den Eijnden et al., 2011).
Damaging effects from sextortion crimes including depression, anxiety, hopelessness, fear, and suicidal thoughts. “The trauma level we see with these kids is significant,” says Catherine Connell, licensed social worker and child/adolescent forensic interviewer and program manager with the FBI. (FBI)
Games and social media platforms connected to predator arrests: Fortnite, Minecraft, Roblox, Instagram, Xbox Live, LiveMe, Omegle, Musical.ly, TikTok, Skype, Facebook Messenger, Snapchat, Twitter’s Periscope, Discord, Kik Messenger, Yubo, PlayStation, Clash of Clans, League of Legends, and more. (NY Times)
Participants who multitasked on a laptop during a lecture scored lower on a test compared to those who did not multitask, and participants who were in direct view of a multitasking peer scored lower on a test compared to those who were not. The results demonstrate that multitasking on a laptop poses a significant distraction to both users and fellow students and can be detrimental to comprehension of lecture content (Sana, 2013)
Education technology is not evidenced based, yet – whole school districts are moving rapidly toward both virtual teaching. Referred to as the “$100 curriculum in a box”, TeacherMates, XO’s and iPad are replacing teaching, referencing the teacher as a “moderator” (Fast Company, April 2010).
Schools that ban screens during school show a 6.4% increase in overall test scores (The Guardian)
While almost three quarters of pupils in the countries surveyed used computers at schools, the report by the Organisation for Economic Cooperation and Development found technology had caused no noticeable improvement in results. (Health24)
Education psychologist and author of Failure to Connect: How Computers Affect Our Children’s Minds Jane Healy spent years doing research into computer use in schools and, while she expected to find that computers in the classroom would be beneficial, now feels that “time on the computer might interfere with development of everything from the young child’s motor skills to his or her ability to think logically and distinguish between reality and fantasy.” (TIME)
John Vallance, a Cambridge scholar and headmaster of Australia’s top K-through-12 school, Sydney Grammer, has said: “I think when people come to write the history of this period in education…this investment in classroom technology is going to be seen as a huge fraud.” (TIME)
“Where computers are used in the classroom, their impact on student performance is mixed at best…Students who use computers very frequently at school do a lot worse in most learning outcomes, even after accounting for social background and student demographics.” —OECD’s education director Andreas Schleicher. (Health24)
OECD 2015 report “Students, Computers and Learning: Making The Connection” says that even countries which have invested heavily in information and communication technologies (ICT) for education, have seen no noticeable improvement in their performances in PISA results for reading, mathematics or science (OECD 2015).
In 2012, 96% of 15-year-old students in OECD countries reported having a computer at home, but only 72% reported using one at school. Overall, students who use computers moderately at school tend to have somewhat better learning outcomes than students who use computers rarely. But students who use computers very frequently at school do much worse, even after accounting for social background and student demographics (OECD 2015).
Average final exam scores among students assigned to classrooms that allowed computers were 18 percent of a standard deviation lower than exam scores of students in classrooms that prohibited computers{Payne Carter, Greenberg, Walker, 2016).
Teens with cell phones send 440 text messages a week and 110 a week while in the classroom. (USA Today)
76% of parents say that cell phone cheating happens at their teens’ schools, but only 3% believe their own teen has ever used a cell phone to cheat. (LA Times)
In a poll conducted by Benenson Strategy Group on “Hi-Tech Cheating” the following statistics were discovered:
Screen addiction is defined as a general inability to limit time spent on entertainment screens (gaming, social media) and continue to play despite negative consequences. Warning signs include attention problems in the classroom, anxiety, falling asleep in class and inability to control impulses.
✔ Schools at all levels should routinely include education about IGD (Internet Gaming Disorder) and expand the infrastructure they have in place for other potentially problematic behaviors (drugs, alcohol, risky sex, gambling, etc.) to include problems with electronic media.
✔ Because of the consistent link between IGD and poor school performance, schools may be an excellent place for screening for IGD and for providing referrals for services when problems with IGD or related issues are uncovered.
✔ Many schools provide computers and/or encourage computer use in and out of classes, as this can have tremendous educational and practical benefit. Many schools consider “gamifying” their educational processes. What message does it send if a school supports gaming as education, in light of the real potential for the development of IGD? Schools should provide training to parents and educators to recognize potential problems.
✔ Schools and community centers can be of particular value in helping parents to identify non-gaming creative opportunities.
Screen overuse weakens a student’s connection with teachers, family, and community. School connectedness is the belief by students that adults and peers in their school environment care about their learning as well as about them as individuals.
Individual or environmental characteristics, conditions, or behaviors that reduce the effects of stressful life events. These factors also increase an individual’s ability to avoid risks or hazards, and promote social and emotional competence to thrive in all aspects of life, now and in the future. (CDC)
These protective factors all lead to positive health and educational outcomes, according to the Center for Disease Control.
Researchers found that watching two or more hours of television per day at the age of 8 or 9 was associated with lower reading performance compared to peers two years later; the difference was equivalent to losing four months of learning. Using a computer for more than one hour per day was linked to a similar degree of lost numeracy. (Science Daily)[/vc_column_text][/vc_tta_section][/vc_tta_tour][/vc_column][/vc_row][vc_row][vc_column][vc_separator border_width=”3″][vc_tta_accordion style=”outline” shape=”square” color=”juicy-pink” c_align=”center” active_section=”0″ no_fill=”true”][vc_tta_section title=”References” tab_id=”1614286211262-300ab09b-fa2c”][vc_column_text]Active Healthy Kids Canada [2008 report card on the internet]. Available from: http://www.activehealthykids.ca/Ophea/ActiveHealthyKids_v2/upload/AHKC-Short-Form-EN.pdf.
Active Healthy Kids Canada. 2014 Report Card on the Physical Activity of Children and Youth: Is Canada in the Running? Retrieved from http://www.activehealthykids.ca/ReportCard/2014ReportCard.aspx on September 15, 2014.
Aldad, T. S., Gan, G., Gao, X-B., Taylor, H. S. Fetal Radiofrequency Radiation Exposure From 800-1900 Mhz-Rated Cellular Telephones Affects Neurodevelopment and Behavior in Mice. (2012). Nature: Scientific Reports. 2012; 2(312): 1-7. DOI: 10.1038/srep00312
American Academy of Ophthalmology (2014); retrieved on November 12, 2014 from http://www.aao.org/SearchResults.aspx?q=myopia statistics&c=1
American Academy of Pediatrics, Committee on Public Education. Children, adolescents and television. Pediatrics. 2001; 107 (2): 423-426.
American Academy of Pediatrics, Committee on Communications. Children, adolescents and advertising. Pediatrics. 2006; 118 (6): 2562-2569.
American Academy of Pediatrics, Letter to Federal Communications Commission on August 29, 2013; retrieved on February 26, 2014 at http://apps.fcc.gov/ecfs/document/view?id=7520941318
American Academy of Pediatrics, Policy Statement – Children, Adolescents, and the Media, Council on Communications and Media; retrieved on February 26, 2014 from http://pediatrics.aappublications.org/content/132/5/958.full
American Academy of Pediatrics, Policy Statement – Virtual Violence, Council on Communications and Media; retrieved on August 2, 2016. http://pediatrics.aappublications.org/content/early/2016/07/14/peds.2016-1298
Anderson, C.A., Sakamoto, A., Gentile, D.A. Longitudinal effects of violent video games on aggression in Japan and the United States. Pediatrics 2008 Nov;122(5):e1067-72.
Anderson, C.A., Shibuya, A., Ihori, N. Violent video game effects on aggression, empathy, and prosocial behavior in eastern and western countries: a meta-analytic review. Psychology Bulletin. 2010;136(2):151-73
Anderson CA, Berkowitz, L, Donnerstein E, Huesmann LR, Johnson JD, Linz D, Malamuth NM, Wartella E. The Influence of Media Violence on Youth. Psychological Science in the Public Interest. 2003; 4:81-110.
Anderson C, Gentile D. Violent Video Game effects on Children and Adolescents. Oxford: Oxford University Press; 2007.
Aubusson, K. Internet addiction affects brain. Retrieved from http://www.psychiatryupdate.com.au/latest-news/internet-addiction-affects-brain on March 6, 2013.
Autism Society of Canada. (2010). Retrieved April 30, 2010, from http://www.autismsocietycanada.ca/asd_research/research_prevalence/index_e.html.
Autism Society. (2010). Retrieved April 30, 2010, from http://www.autism-society.org/site/Clubs?club_id=1217&sid=9320&pg=news
Avendano, C., Mata, A., Sanchez Sarmiento C. A., Doncel, C. F. Use of laptop computers connected to internet through Wi-Fi decreases human sperm motility and increases sperm DNA fragmentation. Fertility and Sterility. January 2012; 97(1): 39-45. Retrieved on March 18, 2014 from http://www.fertstert.org/article/S0015-0282(11)02678-1/abstract
Ayres JA. Sensory integration and learning disorders. California: Western Psychological Services; 1972.
Baranek, G. T., David, F. J., Poe, M. D., Stone, W. L. & Watson, L. R. (2006). Sensory Experiences Questionnaire: discriminating sensory features in young children with autism, developmental delays, and typical development. Journal of Child Psychology and Psychiatry, 47 (6), 591–601.
Baranowski, T., Abdelsamad, D., Baranowski, J., O’Connor, M.T., Thompson, D., Barnett, A., Cerin, E and Chen, T.A. (2011) Impact of an Active Video Game on Healthy Children’s Physical Activity. Pediatrics online (doi: 10.1542/peds.2011-2050)
Baron-Cohen S. Atypical sensory functioning in autism spectrum conditions. Research in progress at Autism Research Center, Cambridge, UK. http://www.autismresearchcentre.com/research/project.asp?id=3
Barr, R. & Lerner, C. (2014). Screen Sense: Setting the Record Straight. Research-Based Guidelines for Screen Use for Children Under 3 Years Old. Zero To Three.
Barros RM, Silver EJ, Stein RE. School Recess ad Group Classroom Behavior. Pediatrics. 2009; 123(2):431-436.
Bass, A. Side Effects: A Prosecutor, a Whistleblower, and the Truth About a Best Selling Antidepressant. New York: Algonquin Books, Workman Publishing Company; 2008.
Baughman F. There is No Such Thing as a Psychiatric Disorder/Disease/Chemical Imbalance. Public Library of Science Medicine. 2006; 3(7): e318. Available at: http://www.plosmedicine.org/article/info%3Adoi%2F10.1371%2Fjournal.pmed.0030318.
Baumgardner, J. Baumgardner: Pornography rewires boys’ brains research says. Retrieved from http://www.timesfreepress.com/news/2013/apr/28/pornography-rewires-boys-brains-research/. On April 28, 2013.
BBC News. Computer Game Teenager Gets DVT. January 29, 2004. Retrieved August 9, 2010 from: http://news.bbc.co.uk/2/hi/health/3441237.stm
BBC News. Obesity’s huge challenge for humans. September 9, 2002. By Jonathan Amos. Available at:
http://news.bbc.co.uk/2/hi/in_depth/sci_tech/2002/leicester_2002/2246450.stm
Becker, M.W., Alzahabi, R., Hopwood, C.J. Media Multitasking Is Associated with Symptoms of Depression and Social Anxiety. Cyberpsychology, Behavior, and Social Networking. February 2013, 16(2): 132-135. doi:10.1089/cyber.2012.0291.
Ben-Sasson, A., Carter, A. S. & Briggs-Gowan, M. The Development of Sensory Over-Responsivity From Infancy to Elementary School. Journal of Abnormal Child Psychology. (2010).
DOI 10.1007/s10802-010-9435-9.
Berkley News. (2013). New eye clinic to target youth amongst an epidemic of nearsightedness. Retrieved on July 31, 2015 from http://news.berkeley.edu/2013/08/28/myopia-control-clinic/
Beullens K, Roe K, Van den Bulck J. Excellent gamer, excellent driver? The impact of adolescents’ video game playing on driving behavior: a two-wave panel study. Accid Anal Prev. 2011 Jan;43(1):58-65.
Beullens K, Roe K, Van den Bulck J. Excellent gamer, excellent driver? The impact of adolescents’ video game playing on driving behavior: a two-wave panel study. Accid Anal Prev. 2011 Jan; 43(1):58-65.
Beutel, M.E., Brähler, E., Glaesmer, H., Kuss, D., Wölfling, K., Müller. K.W. (2010) Regular and Problematic Leisure-Time Internet Use in the Community: Results from a German Population-Based Survey. Cyberpsychology, Behavior, and Social Networking. May 2011, 14(5): 291-296. doi:10.1089/cyber.2010.0199.
Bigelow, A. (2006). Effects of Skin-to-Skin Contact on Early Mother-Infant Interaction: Preliminary Findings from a Canadian Sample of Full-Term Infants. Paper presented at the Sixth Biennial International Workshop of the International Network of Kangaroo Mother Care in Cleveland, Ohio, October 2006. Available at: www.preciousimagecreations.com/resources/
Birmingham CL, Muller JL, Palepu A, Spinelli JJ, Anis AH. The cost of obesity in Canada. Canadian Medical Association Journal. 1999; 160:483-488.
Blank, M. & Goodman, R. (2009). Electromagnetic fields stress living cells. Pathophysiology. 16(2-3), 71-8. doi: 10.1016/j.pathophys.2009.01.006.
Blank, M. & Goodman, R. (2011). DNA is a fractal antenna in electromagnetic fields. International Journal of Radiation Biology. 87(4), 409-415. doi: 10.3109/09553002.2011.538130.
Block, JJ. Issues for DSM – V: Internet Addiction. Journal of Clinical Psychiatry. 2008; 67 (5): 821-826.
Blumenfeld SL. Can Dyslexia be artificially induced in school? Yes, says researcher Edward Miller.http://donpotter.net/PDF/Miller-Blumenfeld_Dyslexia_Article.pdf.
Bodycomb, Steve. Link me, Like me, Follow me……do you need a digital detox? RSA action and research centre. Retrieved from http://www.rsablogs.org.uk/2014/recovery/link-follow-medo-digital-detox/ on September 5, 2014.
Boston College University; reported in BBC News May 8, 2013 by Sean Coughlin; retrieved on February 26, 2014 from http://www.bbc.com/news/business-22209818
Boyle CA, Decoufle’ P, Yeargin-Alsopp M. Prevalence and health impact of developmental disabilities in US children. Pediatrics. 1994; 93 (3): 399-403.
Braithwaite SR, Coulson G, Keddington K, Fincham FD. The Influence of Pornography on Sexual Scripts and Hooking Up Among Emerging Adults in College. (Published September 20, 2014). http://www.ncbi.nlm.nih.gov/pubmed/25239659
Brand M., Young K. S., Laier C. Prefrontal control and Internet addiction: a theoretical model and review of neuropsychological and neuroimaging findings. Published in Human Neuroscience 27 May 2014 doi: 10.3389/fnhum.2014.00375 http://journal.frontiersin.org/article/10.3389/fnhum.2014.00375/full
Brasel A, Gips J. Media Multitasking Behavior: Concurrent Television and Computer Usage.
Cyberpsychology, Behavior and Social Networking. March 15, 2011 DOI: 10.1089/cyber.2010.0350. Available at: http://www.liebertonline.com/doi/pdfplus/10.1089/cyber.2010.0350.
Braswell J, Rine R. Evidence that vestibular hypofunction affects reading acuity in children. International Journal of Pediatric Otorhinolaryngology. 2006; 70 (11): 1957-1965.
Breggin, P. Medication Madness: The Role of Psychiatric Drugs in Cases of Violence, Suicide and Murder. St. Martin’s Press; New York, NY. 2008.
Breggin, P. New Research: Antidepressants can cause long-term depression. The Huffington Post, December 3, 2011. Retrieved from: http://www.huffingtonpost.com/dr-peter-breggin/antidepressants-long-term-depression_b_1077185.html?ref=health-news&ir=Health%20News
Bristol University: School for Policy Studies News (2010). Available at: http://www.bristol.ac.uk/sps/news/2010/107.html
Bruser, D. (2012) Side effects of ADHD drugs shock parents. Retrieved from http://www.thestar.com/news/canada/2012/09/26/side_effects_of_adhd_drugs_shock_parents.html on February 25, 2014.
Bryce J., Fraser, J. “It’s Common Sense That It’s Wrong”: Young People’s Perceptions and Experiences of Cyberbullying. Cyberpsychology, Behavior, and Social Networking. November 2013, 16(11): 783-787. doi:10.1089/cyber.2012.0275.
Buchanan AM, Gentile DA, Nelson DA, Walsh DA, Hensel J. What goes in must come out: Children’s Media Violence Consumption at Home and Aggressive Behaviours at School. Paper presented at the International Society for the Study of Behavioural Development Conference, Ottawa, Ontario, Canada. Available online at: www.mediafamily.org/research/report_issbd_2002.shtml.
Buck N. Could WiFi in schools be harming our kids? Published The Globe and Mail May 11, 2014 http://www.theglobeandmail.com/life/health-and-fitness/health/is-there-such-a-thing-as-too-much-wifi/article18592972/
Bunim, J. Breakthrough Study Reveals Biological Basis for Sensory Processing Disorders in Kids. Retrieved from http://www.ucsf.edu/news/2013/07/107316/breakthrough-study-reveals-biological-basis-sensory-processing-disorders-kidsi on September 15, 2014.
Burdette, HL, Whitaker RC. A national study of neighborhood safety, outdoor play, television viewing, and obesity in preschool children. Pediatrics. 2005; 116: 657-662.
Burnet, K. Study Shows Classroom Decor Can Distract From Learning. Retrieved from http://wesa.fm/post/study-shows-classroom-decor-can-distract-learning on September 15, 2014.
Byun S, Ruffini C, Mills J, Douglas A, Niang M, Stepchenkova S, Lee SK, Loutfi J, Lee JK, Atallah M, Blanton M. Internet Addiction: Metasynthesis of 1996–2006 Quantitative Research. Cyberpsychology and Behavior; Vol 12 (2): 203-7.
Byun, T., Ha, M., Kwon, H., Hong, Y., Leem, J., Sakong, J., Kim, S., Lee, C., Kang, D., Choi, H. & Kim, N. (2013). Mobile phone use, blood lead levels, and attention deficit hyperactivity symptoms in children: a longitudinal study. Plog One journal. 8(3). 1-10. DOI: 10.1371/journal.pone.0059742
C4ST. Symposium on Health Issues Associated with the Exposure to Electromagnetic Fields and Microwave Radiation. Toronto September 12, 2014. http://www.c4st.org/MDSymposium
Calamaro, C.J.,Yang, K., Ratcliffe, S., Chasens, E.R. (2011) Wired at a Young Age: The Effect of Caffeine and Technology on Sleep Duration and Body Mass Index in School-Aged Children. Journal of Pediatric Health Care – July 2012 (Vol. 26, Issue 4, Pages 276-282, DOI: 10.1016/j.pedhc.2010.12.002).
Canadian Standards Association – Children’s Playspaces and Equipment Standard, 4th Edition. (2007). Available at: http://www.csa.ca/cm/ca/en/search/article/childrens-playspaces-and-equipment-standard-fourth-edition
Carpenter, D. & Sage, C. (2012). A rationale for biologically-based exposure standards for low-intensity electromagnetic radiation. BioInitiative Report. Retrieved from: http://www.bioinitiative.org/table-of-contents/
Carson, V., Pickett, W., Janssen, I. (2011) Screen time and risk behaviors in 10- to 16-year-old Canadian youth. Preventive Medicine 52 (2) pg 97-98.
Castle, Lori. How to Digitally Detox This Summer. Mobile Enterprise. Retrieved from http://mobileenterprise.edgl.com/news/How-to-Digitally-Detox-This-Summer94473 on September 5, 2014.
CBC News. France pulls plug on TV shows aimed at babies [CBC online article Wednesday, August 20, 2008]. Available from: http://www.cbc.ca/world/story/2008/08/20/french-baby.html.
CBC News. ADHD Drug Linked to Suicide Attempts: Health Canada. CBC News July 3, 2008. Available at: http://www.cbc.ca/health/story/2008/07/03/adhd-drug-warning.html.
CBC News. Tech addiction symptoms rife among students. CBC News on April 6, 2011 11:06. Available from: http://www.cbc.ca/news/technology/story/2011/04/06/technology-addiction-students.html
CBC News Dec. 3, 2013. Canada’s students slipping in math and science, OECD finds. Retrieved on March 17, 2014 at http://www.cbc.ca/news/canada/canada-s-students-slipping-in-math-and-science-oecd-finds-1.2448748
CBC News, Amanda Ripley on PISA math scores. December 3, 2013. http://www.cbc.ca/player/AudioMobile/Day+6/ID/2422663991>
CBS News. Mar 13, 2008, Man Sentenced For Killing Toddler Over Broken Xbox. Available at: http://cbs3.com/local/Tyrone.Spellman.Xbox.2.676702.html
CBS News, Jim Edwards, May 21, 2010. Glaxo is Testing Paxil on 7-Year-Olds, Despite Well Known Suicide Risks. Available at: http://industry.bnet.com/pharma/10008290/glaxo-is-testing-paxil-on-7-year-olds-despite-well-known-suicide-risks/
Cellular Telecommunications and Internet Association. (2014). CTIA-The wireless association announces semi-annual wireless industry survey results, Washington DC. Retrieved from: http://www.ctia.org/your-wireless-life/how-wireless-works/annual-wireless-industry-survey
Center for Disease Control and Prevention – Diabetes Public Health Resource. (2010). Available at: http://www.cdc.gov/diabetes/projects/cda2.htm
Center on Media and Human Development, School of Communication, Northwestern University. June 2013. Parenting in the Digital Age. Available at: http://web5.soc.northwestern.edu/cmhd/wp-content/uploads/2013/05/Parenting-Report_FINAL.pdf
Cheslack-Postava K et al.Closely Spaced Pregnancies Are Associated With Increased Odds of Autism in California Sibling Births. Pediatrics 2011;127;246-253 on January 10, 2011.
Choliz, M. & Marco, C. Patterns of video game use and dependence in children and adolescents. Anales de Psicologia, 2011, Vol 27(2), 418-426.
Chonchaiya, W., Sirachairat, C., Vijakkhana, N., Wilaiskditpakorn T, & Pruksananonda, C. (2015). Elevated background TV exposure overtime increases behavior scores of 18-month-old toddlers. Foundation ACTA Paediatrica.104, 1039-1046.
Christakis, D. A., Gilkerson, J., Richards, J. A., Zimmerman, F. J., Garrison, M. M., Xu, D., Gray, S. & Yapanel, U. (2009). Audible Television and Decreased Adult Words, Infant Vocalizations, and Conversational Turns. Archives of Pediatrics & Adolescent Medicine. 163(6):554-558. Available at: http://archpedi.ama-assn.org/cgi/content/full/163/6/554#AUTHINFO
Christakis DA, Zimmerman FJ. Violent Television During Preschool Is Associated With Antisocial Behavior During School Age. Pediatrics. 2007; 120: 993-999.
Christakis DA, Zimmerman FJ, DiGiuseppe DL, McCarty CA. Early television exposure and subsequent attentional problems in children. Pediatrics. 2004; 113 (4): 708-713.
Christakis, D.A. (2011) The effects of fast-paced cartoons. PEDIATRICS Vol. 128 No. 4 October 1, 2011, pp. 772 -774 (doi: 10.1542/peds.2011-2071)
Colombia University Mailman School of Public Health. More than half of America’s 18-24 year olds live with their parents. 2010. http://www.mailman.columbia.edu/news/more-half-america%E2%80%99s-18-24-year-olds-live-parents
Clayton, R.B., Nagurney, A., Smith, J.R. Cheating, Breakup, and Divorce: Is Facebook Use to Blame? Cyberpsychology, Behavior, and Social Networking. October 2013, 16(10): 717-720. doi:10.1089/cyber.2012.0424.
Clayton, R. B. (2014) The Third Wheel: The Impact of Twitter Use on Relationship Infidelity and Divorce. Cyberpsychology, Behavior, and Social Networking 17(7): 425-430. doi:10.1089/cyber.2013.0570.
CLBB and the Boston Society for Neurology and Psychiatry. (2013). “Empathy: The Development and Disintegration of Human Connection”. Retrieved from http://clbb.mgh.harvard.edu/upcoming-empathy-insights-from-neurophysiology-neurology-and-psychiatry/ on September 15, 2014.
Clegg, F. EMFs & Dirty Electricity: Invisible Threat. The Link between Wireless Radiation and a Host of Serious Illnesses. Retrieved from http://vitalitymagazine.com/article/invisible-threat/ on February 4, 2014.
Cohen, D.A., Marsh, T., Williamson, S., Golinelli, D., McKenzie ,T.L. Impact and cost-effectiveness of family Fitness Zones: a natural experiment in urban public parks. Health Place. 2012 Jan;18(1):39-45. doi: 10.1016/j.healthplace.2011.09.008
Committee on Public Education. Media Violence. 2001; 108:1222-1226. Available at: http://www.mediafamily.org/videogame2006summit/publications.shtml.
Common Sense Media. (2013). Zero to Eight: Children’s media use in America. 1-38. Retrieved from: www.commonsensemedia.org/ research/zero-eight-childrens-media-use-america.
Common Sense Media. (2015). Landmark Report: U.S. Teens Use an Average of Nine Hours of Media Per Day, Tweens Use Six Hours. Retrieved on August 2, 2016 from https://www.commonsensemedia.org/about-us/news/press-releases/landmark-report-us-teens-use-an-average-of-nine-hours-of-media-per-day
Conners-Burrow, N.A., McKelvey, L.M., Fussell, J.J. (2011) Social Outcomes Associated With Media Viewing Habits of Low-Income Preschool Children. Early Education & Development Vol. 22, Iss. 2, 2011
Coughlan, S. Lack of sleep blights pupil’s education. Retrieved from http://www.bbc.com/news/business-22209818 on May 8, 2013.
Coureau G et al. Mobile phone use and brain tumors in the CERENAT case-control study. Occupational and Environmental Medicine, 2014 Jul;71(7):514-22. doi: 10.1136/oemed-2013-101754. Epub 2014 May 9. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/24816517 on August 14, 2015.
Coyne, S.M., Stockdale, L.A., Nelson, D.A., Fraser, A. (2011) Profanity in Media Associated With Attitudes and Behavior Regarding Profanity Use and Aggression. Pediatrics peds.2011-1062; doi:10.1542/peds.2011-1062
Crane, L., Goddard, L. & Pring, L. (2009). Sensory processing in adults with autism spectrum disorders. Autism, 13, 215-228.
Crittenden PM. (2008). Raising Parents: Attachment, Parenting and Child Safety. Willan Publishing; Oxfordshire, UK.
Crofton K. (2011). Wireless Radiation Rescue: Safeguard Your Family from Electro-pollution. Global Wellbeing Books, United States.
CTV News – My Health. Electronic babysitter? Fisher-Price’s iPad baby seat sparks controversy. December 17, 2013. http://www.ctvnews.ca/health/electronic-babysitter-fisher-price-s-ipad-baby-seat-sparks-controversy-1.1596989
Cuelpepper, L., Ghaemi, N. (2011) Are Antipsychotics Overprescribed? Medscape Psychiatry & Mental Health. Retrieved from: http://www.creativeperspectives.org/files/Are%20Antipsychotics%20Overprescribed.pdf
Currie J, Stabile M, Jones L. (2014) Do stimulant medications improve educational and behavioral outcomes for children with ADHD? J Health Econ. 2014 Sep;37:58-69. doi: 10.1016/j.jhealeco.2014.05.002. Epub 2014 May 16.
Darling, N. (2014) Step Away From The Keyboard: How Our Hands Affect Our Brains. Psychology Today. Retrieved from http://www.psychologytoday.com/blog/thinking-about-kids/201407/step-away-the-keyboard-how-our-hands-affect-our-brains on September 5, 2014.
Davis, V. Interconnected But Underprotected? Parents’ Methods and Motivations for Information Seeking on Digital Safety Issues. Cyberpsychology, Behavior, and Social Networking. December 2012, 15(12): 669-674. doi:10.1089/cyber.2012.0179.
Davidson, K. & Bressler, S. (2010). Piloting a points-based caseload measure for community based paediatric occupational and physiotherapists. Canadian Journal of Occupational Therapy. 77(3):174-180.
Diagnosis and Statistical Manual, Fifth Edition. Available at www.DSMV.org.
DeBerardis D, D’Albenzio A, Gambi F, Sepede G, Valchera A, Conti CM, Fulcheri M, Cavuto M, Ortolani C, Salerno RM, Serroni N, Ferro FM. Alexithymia and Its Relationships with Dissociative Experiences and Internet Addiction in a Nonclinical Sample. CyberPsychology & Behavior. 2008; doi:10.1089/cpb.2008.0108.
Dellorto, D. (2011). WHO: Cell phone use can increase possible cancer risk. Retrieved from: http://www.cnn.com/2011/HEALTH/05/31/who.cell.phones/
Diller LH. Running on Ritalin: A Physician Reflects on Children, Society, and Performance of a Pill. New York: Bantam Books; 1999.
Doan, A., (2012) The Perfect Storm for a Killer: Video game addiction and violent video games. http://www.medrounds.org/main/medrounds-blog/medical-articles-by-doctors/170153-the-perfect-storm-for-a-killer-video-game-addiction-and-violent-video-games.html. Accessed 11/03/14
Dobbin, J. Early day motion 951: Diagnosis of Attention Deficit Disorder. UK Parliament. Retrieved from http://www.parliament.uk/edm/2013-14/951 on March 11, 2014.
Dong, Guangheng, Elise E Devito, Xiaoxia Du, and Zhuoya Cui. “Impaired Inhibitory Control in ‘Internet Addiction Disorder’: A Functional Magnetic Resonance Imaging Study.” Psychiatry Research 203, no. 2–3 (September 2012): 153–158. doi:10.1016/j.pscychresns.2012.02.001.
Dong, Guangheng, Yanbo Hu, and Xiao Lin. “Reward/Punishment Sensitivities Among Internet Addicts: Implications for Their Addictive Behaviors.” Progress in Neuro-Psychopharmacology & Biological Psychiatry 46 (October 2013): 139–145. doi:10.1016/j.pnpbp.2013.07.007.
dosReis S, Zito JM, Safer DJ, Gardner JF, Puccia KB, Owens PL. Multiple psychotropic medication use for youths: A two-state comparison. Journal of Child and Adolescent Psychopharmacology. 2005; 15(1): 68-77.
Dunckley, V. Gray Matters: Too Much Screen Time Damages the Brain – Neuroimaging research shows excessive screen time damages the brain. Psychology Today, Mental Wealth. Published online February 27, 2014.http://www.psychologytoday.com/blog/mental-wealth/201402/gray-matters-too-much-screen-time-damages-the-brain
Dunckley, V. Reset Your Child’s Brain – A Four-Week Plan to End Meltdowns, Raise Grades, and Boost Social Skills by Reversing the Effects of Electronic Screen Time. New World Library, Novato, California; 2015.
Dwyer, S. (2014) Mobile Addicts on the Rise, According to Data Study. The Fix. Retrieved from http://www.thefix.com/content/mobile-addicts-rise-according-data-study on September 15, 2014.
Elgar F.J., Napoletano A., Saul G., et al. Cyberbullying Victimization and Mental Health in Adolescents and the Moderating Role of Family Dinners. JAMA Pediatr. Published online September 01, 2014. doi:10.1001/jamapediatrics.2014.1223.
Employment and Social Development Canada. 2011.http://www4.hrsdc.gc.ca/.3ndic.1t.4r@-eng.jsp?iid=77
Emre M, Cetiner S, Zencir S, Unlukurt I, Kahraman I, Topcu Z. Oxidatvie stress and apoptosis in relation to exposure to magnetic field. Cell Biochemistry and Biophysics. 2011; 59 (2): 71-77.
Engelen, L., Bundy, A. C., Bauman, A., Naughton, G., Wyver, S., Baur, L. (2014) Young Children’s After-School Activities – There’s More to it Than Screen Time: A Cross-Sectional Study of Young Primary School Children. Center on Media and Child Health.
Englander, E.K. (2012) Low risk associated with most Teenage Sexting: A Study of 617 18-Year-Olds, Massachusetts Aggression Reduction Centre, Bridgewater State College, Bridgewater, MA. Retrieved from: http://webhost.bridgew.edu/marc/SEXTING%20AND%20COERCION%20report.pdf
Eşmekaya MA, Seyhan N, Ömeroğlu S. (2010) Pulse modulated 900 MHz radiation induces hypothyroidism and apoptosis in thyroid cells: a light, electron microscopy and immunohistochemical study. Journal of Radiat Biology. 2010 Dec;86(12):1106-16.
Faber Taylor A, Kuo FE, Sullivan WC. Coping With ADD – The Surprising Connection to Green Play Settings. Journal of Environment and Behavior. 2001; 33(1):54-77.
Fast Company Magazine. (April, 2010). “A” is for App. By Anya Kamenetz. http://www.fastcompany.com/magazine/144.
Feldman R, Eidelman AI, Sirota L, Weller A. (2002). Comparison of Skin-to-Skin (Kangaroo) and Traditional Care: Parenting Outcomes and Preterm Infant Development. Pediatrics: 110(1);16-26.
Feng D, Reed DB, Esperat MC, Uchida M. Effects of TV in the bedroom on young Hispanic children. Am J Health Promot. 2011 May-Jun;25(5):310-8.
Field, T., Lasko, D., Mundy, P., Henteleff, T., Kabat, S., Talpins, S. & Dowling, M. (1997). Brief report: Autistic children’s attentiveness and responsivity improve after touch therapy. Journal of Autism and Developmental Disorders, 27(3), 333-338.
Fioravanti, G., Dèttore, D., Casale, S. (2012) Adolescent Internet Addiction: Testing the Association Between Self-Esteem, the Perception of Internet Attributes, and Preference for Online Social Interactions. Cyberpsychology, Behavior, and Social Networking 15(6): 318-323. doi:10.1089/cyber.2011.0358.
Fiztgerald, B.R. Data Point: That’s a Lot of People to Say They ‘Never’ Unplug. Digits. Retrieved from http://blogs.wsj.com/digits/2014/08/15/data-point-thats-a-lot-of-people-to-say-they-never-unplug/ on September 05, 2014.
Flores, P. Addiction as an Attachment Disorder. Oxford, UK: Rowman & Littlefield Publishers Inc.; 2004.
Forbes. Why empathy is the force that moves businesses forward. May 30, 2013 by Jayson Boyers.http://www.forbes.com/sites/ashoka/2013/05/30/why-empathy-is-the-force-that-moves-business-forward/
Foss-Feig JH, Heacock JL, Cascio CJ. (2012) Tactile responsiveness patterns and their association with core features in autism spectrum disorders. Research in Autism Spectrum Disorder 6(1):337-344.
Fragopoulou, A., researcher at the Department of Biology and Biophysics at the University of Athens, Greece on February 22, 2011. Are Mobile Phones and other Wireless Appliances Safe?
Fredrickson, B. Your phone vs. your heart. The New York Times retrieved from http://www.nytimes.com/2013/03/24/opinion/sunday/your-phone-vs-your-heart.html?_r=0 On March 23, 2013
Gangwisch, J. E., Babiss, L. A., Malaspina, D., Turner J. B., Zammit, G. K. & Posner, K. (2010). Earlier Parental Set Bedtimes as a Protective Factor Against Depression and Suicidal Ideation. Sleep. 33(1):96-106.
Gaskin, C. J., Elsom, S. J. & Happell, B. (2007). Interventions for reducing the use of seclusion in psychiatric facilities. British Journal of Psychiatry. 191:298-303. DOI:10.1192/bjp.bp.106.834538
Gentile, D. Pathological Video-Game Use Among Youth Ages 8 to 18: A National Study. Psychological Science. 2009 May;20(5):594-602. doi: 10.1111/j.1467-9280.2009.02340.x.
Gentile D. Pathological Video-Game Use Among Youth Ages 8 to 18. Journal of Psychological Science. 2009; 3(2):1-9.
Gentile, D.A., Lynch, P.J., Linder, J.R., Walsh, D.A. The effects of violent video game habits on adolescent hostility, aggressive behaviors, and school performance. Journal of Adolescence 2004 Feb;27(1):5-22
Gentzler, A. L., Oberhauser, A. M., Westerman, D. and Nadorff, D. K. (2010). College Students’ Use of Electronic Communication with Parents: Links to Loneliness, Attachment, and Relationship Quality Cyberpsychology, Behavior, and Social Networking. doi:10.1089/cyber.2009.0409.
Gandhi OP, Morgan LL, de Salles AA, Han YY, Herberman RB, Davis DL. (2011) Exposure limits: the underestimation of absorbed cell phone radiation, especially in children. Electromagnetic Biology and Medicine, Early Online: 1-18, 2011.
Ghassemzadeh L, Shahraray M, Moradi A. Prevalence of Internet Addiction and Comparison of Internet Addicts and Non-Addicts in Iranian High Schools. CyberPsychology & Behavior. 2008: doi:10.1089/cpb.2007.0243.
Ghose, T., Live Science. Tiny Distractions Can Double Mistakes. Scientific American. Retrieved from http://www.scientificamerican.com/article/tiny-distractions-can-double/ on Jan. 22, 2013
Gilbert RL, Murphy NA, Ávalos MC. Communication patterns and satisfaction levels in three-dimensional versus real-life intimate relationships. Cyberpsycholy, Behavior and Social Networking. 2011 Oct;14(10):585-9.
Globe and Mail. (2010). By Zosia Bielski. Today’s college kids are 40-per-cent less empathetic, study finds. June 1, 1010. Available at: http://www.theglobeandmail.com/life/work/todays-college-kids-are-40-per-cent-less-empathetic-study-finds/article1587609/
Goldberg E, Simner M. A Comparison of Children’s Handwriting Under Traditional vs. Whole Language Instruction. Canadian Journal of School Psychology. 1999; 14(2): 11-30.
Goodier, R. Think your tween is just sexting? The Globe and Mail. Retrieved from http://www.theglobeandmail.com/life/parenting/think-your-tween-is-just-sexting/article19448695/ on September 5, 2014.
Goodwin R, Gould MS, Blanco C, Olfson M. Prescription of psychotropic medications to youth in office-based practices. Psychiatric Serices. 2001; 52(8):1081-1087.
Gordon, A. (2013) Kids with Autism benefit from outdoor classroom. Retrieved from http://www.thestar.com/life/parent/2013/07/05/kids_with_autism_benefit_from_outdoor_classroom.html on February 24, 2014.
Grabmeier, J and Bushman B. Immersed in Violence: How 3-D gaming affects video game players. Ohio State University New Room. Retrieved from https://news.osu.edu/news/2014/10/19/%E2%80%8Bimmersed-in-violence-how-3-d-gaming-affects-video-game-players/ on August 13, 2015.
Graham S, Harris K, Mason L, Fink-Chorzempa B, Moran S, Saddler B (2008) How Do Primary Grade Teachers Teach Handwriting? A National Survey. Reading and Writing: An Interdisciplinary Journal. 2008: 21;49-69.
Graham S, and Weintraub N. (1996). A Review of Handwriting Research: Progress and Prospects from 1980 to 1994. Educational Psychology Review, 8, 7-87.
Graham S, Harris K and Fink B. (2000). Is Handwriting Causally Related to Learning to Write? Treatment of Handwriting Problems in Beginning Writers. Journal of Educational Psychology Vol 92, 620-633.
Graham S (2006) Handbook of Writing Research, Ch 13 – Strategy Instruction and the Teaching of Writing. Eds. MacArthur C, Graham S and Fitzgerald G. Guilford Press, New York.
Graham S, MacArthur C and Fitzgerald J (2007) Best Practices in Writing Instruction. Eds. MacArthur C, Graham S and Fitzgerald G. Guilford Press, New York.
Guardian News. August 26, 2010. Parents are forgetting how to play with their children, study shows. Available at: http://uk.lifestyle.yahoo.com/family-parenting/parents-forgetting-play-children-study-shows-article-huib.html
Guardian News. Are iPads and tablets bad for young children? January 8, 2014 by Paula Cocozza. http://www.theguardian.com/society/2014/jan/08/are-tablet-computers-bad-young-children
Hahn, J. (2003) Substance-induced psychotic disorder. Gale Encyclopedia of Mental Disorders. Accessed 11/03/14 from http://www.encyclopedia.com/doc/1G2-3405700377.html
Hamilton S. Screening for developmental delay: Reliable, easy-to-use tools. Journal of Family Practice. 2006; 55 (5): 416-422.
Han, Doug Hyun, Nicolas Bolo, Melissa A. Daniels, Lynn Arenella, In Kyoon Lyoo, and Perry F. Renshaw. “Brain Activity and Desire for Internet Video Game Play.” Comprehensive Psychiatry 52, no. 1 (January 2011): 88–95. doi:10.1016/j.comppsych.2010.04.004.
Hancox RJ, Milne BJ, Poulton R. Association of television during childhood with poor educational achievement. Archives of Pediatric and Adolescent Medicine. 2005; 159 (7): 614-618.
Hardell, L., Carlberg, M., Soderqvist, F., Hansson, K. Pooled analysis of case-control studies on acoustic neuroma diagnosed 1997-2003 and 2007-2009 and use of mobile and cordless phones International Journal of Oncology. 2013: 43(4); 1036-1044. DOI: 10.3892/ijo.2013.2025
Harvey-Berino J, Rourke J. Obesity Prevention in Preschool Native-American Children: A Pilot Study Using Home Visiting. Obesity Research. 2001; 11:606-611.
He, J.B., Liu, C.J., Guo, Y.Y., Zhao, L. (2009) Deficits in Early-Stage Face Perception in Excessive Internet Users. Cyberpsychology, Behavior, and Social Networking 14(5): 303-308. doi:10.1089/cyber.2009.0333.
Healthy Early Learning Partnership – Early Development Inventory Maps for British Columbia, University of British Columbia; retrieved on February 26, 2014 from http://earlylearning.ubc.ca/maps/edi/bc/
Heffler K. F. and Oestreicher O. M. Causational model of autism: Audiovisual brain specialization in infancy competes with social brain networks. Med Hypotheses (2015) http://dx.doi.org/10.1016/j.mehy.2015.06.019
Hinduja, S., & Patchin, J.W. (2010). Bullying, cyberbullying, and suicide. Archives of Suicide Research, 14(3), 206-221.
Ho BC, Andreasen NC, Ziebell S, Pierson R, Magnotta V. Long-term Antipsychotic Treatment and Brain Volumes. Archives of General Psychiatry. 2011; 68 (2); 128-137.
Hong, Soon-Beom, Jae-Won Kim, Eun-Jung Choi, Ho-Hyun Kim, Jeong-Eun Suh, Chang-Dai Kim, Paul Klauser, et al. “Reduced Orbitofrontal Cortical Thickness in Male Adolescents with Internet Addiction.” Behavioral and Brain Functions 9, no. 1 (2013): 11. doi:10.1186/1744-9081-9-11.
Hong, Soon-Beom, Andrew Zalesky, Luca Cocchi, Alex Fornito, Eun-Jung Choi, Ho-Hyun Kim, Jeong-Eun Suh, Chang-Dai Kim, Jae-Won Kim, and Soon-Hyung Yi. “Decreased Functional Brain Connectivity in Adolescents with Internet Addiction.” Edited by Xi-Nian Zuo. PLoS ONE 8, no. 2 (February 25, 2013): e57831. doi:10.1371/journal.pone.0057831.
Horvath CW. Measuring television addiction. Journal of Broadcasting and Electronic Media. 2004; 48 (3): 378-398.
Hou, Haifeng, Shaowe Jia, Shu Hu, Rong Fan, Wen Sun, Taotao Sun, and Hong Zhang. “Reduced Striatal Dopamine Transporters in People with Internet Addiction Disorder.” Journal of Biomedicine & Biotechnology 2012 (2012): 854524. doi:10.1155/2012/854524.
Houtrow, A. J., Larson K., Olson, L. M., Newacheck, P. W., Halfon, N. Changing Trends of Childhood Disability, 2001-2011. Pediatrics. Available at http://pediatrics.aappublications.org/content/early/2014/08/12/peds.2014-0594.abstract
Howard AW. Keeping children safe: rethinking how we design our environments. Canadian Medical Association Journal. 2010; 182(6); 573-577.
Howard AW, MacArthur C. Willan A, et al. The effect of safer play equipment on playground injury rates among school children. Canadian Medical Association Journal. 2005: 172; 1443-1446.
Hu, E. Facebook makes us sadder and less satisfied, study finds. Retrieved from http://www.npr.org/blogs/alltechconsidered/2013/08/19/213568763/researchers-facebook-makes-us-sadder-and-less-satisfied on March 11, 2014.
Huesmann LR. The Impact of Electronic Media Violence: Scientific Theory and Research. Journal of Adolescent Health. 2007; 41: S6-13.
Huffington Post. Ten reasons why handheld devices should be banned in children under 12 years of age. March 6, 2014 by Cris Rowan. http://www.huffingtonpost.com/cris-rowan/10-reasons-why-handheld-devices-should-be-banned_b_4899218.html
Innis, G. Kids and Technology, is it ever too much of a good thing? Michigan State University. Retrieved from http://msue.anr.msu.edu/news/kids_and_technology_is_it_ever_too_much_of_a_good_thing on September 5, 2014.
Insel TR, Young LJ. The neurobiology of attachment. Nature Reviews Neuroscience. 2001; 2: 129-136.
Intel Security. (2014). 2014 Teens and the screen study: exploring online privacy, social networking and cyber bullying. McAfee. Retrieved from: http://www.mcafee.com/us/about/news/2014/q2/20140603-01.aspx
Irwin M. Proceedings presented at the 2009 International Center for the Study of Psychiatry and Psychology. New York.
James K, Miller LJ, Schaaf R, Nielsen DM, Schoen SA.( 2011) Phenotypes within sensory modulation dysfunction. Comprehensive Psychiatry 52(6):715-724.
Jennings JT. Conveying the message about optimal infant positions. Physical and Occupational Therapy in Pediatrics. 2005; 25 (3); 3-18.
Jeong EJ, Kim DH. Social Activities, Self-Efficacy, Game Attitudes, and Game Addiction
Cyberpsychology, Behavior, and Social Networking. April 2011, 14(4): 213-221
Jensen PS, Cooper JR. Attention Deficit Hyperactivity Disorder: State of Science – Best Practices. 2002. Chapter 10. Public Health and Toxicological Issues Concerning Stimulant Treatment for ADHD. Rowland, AS, Umbach DM, O’Callaghan JP, Miller DB, Dunnick JK.
Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J., Maras, P., Moon, A. (2012) Gender, Internet Experience, Internet Identification, and Internet Anxiety: A Ten-Year Followup .Cyberpsychology, Behavior, and Social Networking. July 2012, 15(7): 370-372. doi:10.1089/cyber.2012.0033.
Joseph, J. The Gene Illusion: Genetic Research in Psychiatry and Psychology Under the Microscope. 2003. PCCS Books Publishing, Herefordshire, UK. Website www.jayjoseph.net.
Kaiser Foundation Report. 2010. Retrieved on April 30, 2010 from http://kff.org/other/event/generation-m2-media-in-the-lives-of/
Kaplan S. The restorative benefits of nature: Toward an integrative framework. Journal of Environmental Psychology. 1995; 15: 169-182.
Kasteleijn-Nolst Trenite, D. G., Martins da Silva, A. & Ricci, S. (2002). Video Games are Exciting: A European Study of Video Game-Induced Seizures and Epilepsy. Epileptic Disorders. 4; 121-128.
Kershaw and Anderson. British Columbia Business Council and University of British Columbia researchers with the Human Early Learning Partnership. A Comprehensive Policy Framework for Early Human Capital Investment in BC. 2009. Retrieved on Sept. 29, 2013 from http://earlylearning.ubc.ca/documents/27/.
Kessler RC, Adler L, Barkley R, Biederman J, Conners CK, Demler O, Faraone SV, Greenhill LL, Howes MJ, Secnik K, Spencer T, Ustun TB, Walters EE, Zaslavsky AM. The Prevalence and Correlates of Adult ADHD in the United States: Results for the National Comorbidity Survey Replication. American Journal of Psychiatry. 2006; 163:716-723.
Khurana VG, Teo C, Kundi M, Hardell L, Carlberg M. Cell phones and brain tumors: a review including long-term epidemiologic data. Surgical Neurology, 2009; 72 (3), 214-215.
Kim, K.J., Sundar, S.S. Can Interface Features Affect Aggression Resulting from Violent Video Game Play? An Examination of Realistic Controller and Large Screen Size. Cyberpsychology, Behavior, and Social Networking. May 2013, 16(5): 329-334. doi:10.1089/cyber.2012.0500.
Kim, Sang Hee, Sang-Hyun Baik, Chang Soo Park, Su Jin Kim, Sung Won Choi, and Sang Eun Kim. “Reduced Striatal Dopamine D2 Receptors in People with Internet Addiction.” Neuroreport 22, no. 8 (June 11, 2011): 407–411. doi:10.1097/WNR.0b013e328346e16e.
Kirsch I, Antonuccio D. FDA testimony on the efficacy of antidepressants with children. February 2004. Available from: http://www.ahrp.org/risks/SSRI0204/KirschAntonuccio.php.
Klein C, Kennedy MA, Gorzalka BB. Rape myth acceptance in men who completed the prostitution offender program of British Columbia. International Journal of Offender Therapy and Comparative Criminology; 2009 Jun;53(3):305-15
Kittinger, R., Correia, C.J., Irons, J.G. (2012) Relationship Between Facebook Use and Problematic Internet Use Among College Students . Cyberpsychology, Behavior, and Social Networking 15(6): 324-327. doi:10.1089/cyber.2010.0410
Klintwall, L., Holm, A., Eriksson, M., Carlsson, L. H., Olsson, M. B., Hedvall, A., Gillberg, C., et al. (2011). Sensory abnormalities in autism. A brief report. Research in Developmental Disabilities, 32(2), 795-800.
Ko, Chih-Hung, Gin-Chung Liu, Sigmund Hsiao, Ju-Yu Yen, Ming-Jen Yang, Wei-Chen Lin, Cheng-Fang Yen, and Cheng-Sheng Chen. “Brain Activities Associated with Gaming Urge of Online Gaming Addiction.” Journal of Psychiatric Research 43, no. 7 (April 2009): 739–747. doi:10.1016/j.jpsychires.2008.09.012.
Koo C, Wati W, Lee C, Oh H. Internet-Addicted Kids and South Korean Government Efforts: Boot-Camp Case. Cyberpsychology, Behavior and Social Networking. 2010; 14 (6):391-4.
Korkman M. Introduction to the special issue on normal neuropsychological development in the school-age years. Developmental Neuropsychology. 2001; 20 (1):325-330.
Kowalski RM, Limber SP. Electronic Bullying Among Middle School Students. Journal of Adolescent Health. 2007; 41:S22-30.
Kühn, S, A Romanowski, C Schilling, R Lorenz, C Mörsen, N Seiferth, T Banaschewski, et al. “The Neural Basis of Video Gaming.” Translational Psychiatry 1 (2011): e53. doi:10.1038/tp.2011.53.
Kuo FE, Faber Taylor A. A Potential Natural Treatment for Attention-Deficit/Hyperactivity Disorder: Evidence from a National Study. American Journal of Public Health. 2004; 94(9):1580-1586.
Kuo FE, Faber Taylor A. Children with Attention Deficits Concentrate Better After a Walk in the Park. Journal of Attention Disorders. 2009; 12; 402: originally published online Aug 25, 2008.
Kuss, D.J., Griffiths, M.D., Binder, J.F. (2013) Internet addiction instudents: Prevalence and risk factors. Computers in Human Behaviour (29); 959-966.
Lam, L.T., Cheng, Z., Liu, X. Violent Online Games Exposure and Cyberbullying/Victimization Among Adolescents. Cyberpsychology, Behavior, and Social Networking. March 2013, 16(3): 159-165. doi:10.1089/cyber.2012.0087.
Lane, S. J., Reynolds, S. & Thacker L. (2010). Sensory over-responsivity and ADHD: differentiating using electrodermal responses, cortisol, and anxiety. Frontiers in Integrative Neuroscience. 4 (8), 1-11. doi: 10.3389/fnint.2010.00008.
Lang, R., Koegel, L. K., Ashbaugh, K., Regester, K., Ence, W. & Smith, W. (2010). Physical exercise and individuals with autism spectrum disorders: A systematic review. Research in Autism Spectrum Disorders. DOI:10.1016/j.rasd.2010.01.006
LAUSD. Los Angeles Unified School District Accommodates Teacher Who Fell Ill After Wireless Installation. Press release October 10, 2014 http://www.prlog.org/12381499-los-angeles-unified-school-district-accommodates-teacher-who-fell-ill-after-wireless-installation.html
Hae Woo Lee, Jung-Seok Choi, Young-Chul Shin, Jun-Young Lee, Hee Yeon Jung, and Jun Soo Kwon. Impulsivity in Internet Addiction: A Comparison with Pathological Gambling . Cyberpsychology, Behavior, and Social Networking. July 2012, 15(7): 373-377. doi:10.1089/cyber.2012.0063.
Lee, S.J., Chae, Y.J. (2011) Balancing Participation and Risks in Children’s Internet Use: The Role of Internet Literacy and Parental Mediation. Cyberpsychology, Behavior, and Social Networking 15(5): 257-262. doi:10.1089/cyber.2011.0552.
Li D, Chen H, Odouli R. Maternal Exposure to Magnetic Fields During Pregnancy in Relation to the Risk of Asthma in Offspring. Arch Pediatr Adolesc Med. 2011;165(10):945-950. doi:10.1001/archpediatrics.2011.135.
Liberatore KA, Rosario K, Colon-De Marti LN, Martinez KG. Prevalence of Internet Addiction in Latino Adolescents with Psychiatric Diagnosis. Cyberpsychology, Behavior, and Social Networking. June 2011, 14(6): 399-402.
Lin F, Zhou Y, Du Y, Qin L, Zhao Z, et al. (2012) Abnormal White Matter Integrity in Adolescents with Internet Addiction Disorder: A Tract-Based Spatial Statistics Study. PLoS ONE 7(1): e30253. doi:10.1371/journal.pone.0030253
Lipnowski S. Healthy active living: Physical activity guidelines for children and adolescents Canadian Paediatric Society, Abridged version: Paediatric Child Health 2012;17(4):209-10 http://www.cps.ca/documents/position/physical-activity-guidelines
Louv, R. Last child in the woods: Saving our children from Nature-Deficit Disorder. New York: Algonquin Books; 2005.
Lu DW, Wang JW, Huang ACW. Differentiation of Internet Addiction Risk Level Based on Autonomic Nervous Responses: The Internet-Addiction Hypothesis of Autonomic Activity. Cyberpsychology, Behavior, and Social Networking. 2010; 13 (4): 371-378.
MacArthur C, Hu X, Wesson DE. Risk factors for severe injuries associated with falls from playground equipment. Accident Analysis and Prevention Journal. 2000: 32(3); 377-382.
MacLeans. UBC students reject paying for sexual assault counselling. November 3, 2013 http://www.macleans.ca/education/uniandcollege/ubc-students-reject-pledge-for-sexual-assault-counselling
McEwan K, Waddell C, Barker J. Bringing Children’s Mental Health “Out of the Shadows”. Canadian Medical Association Journal. 2007; 176(4): 471-472.
Mandell DS, Morales KH, Marcus SC, Stahmer AC, Doshi J, and Polsky DE. Psychotropic medication use among medicaid-enrolled children with Autism Spectrum Disorders. Pediatrics. 2008; 121 (3): 441-449.
Mangen, A. (2008). Hypertext fiction reading: haptics and immersion. Journal of Research. 31(4):404-419.
Markman, A. (2010) Ulterior Motives- How goals seen and unseen drive behaviours. Psychology Today. Retrieved from http://www.psychologytoday.com/blog/ulterior-motives/201003/the-broad-view-research-video-games-and-aggression on March 11, 2014.
Martin, R.C., Coyier, K.R., VanSistine, L.M., Schroeder, K.L. Anger on the Internet: The Perceived Value of Rant-Sites Cyberpsychology, Behavior, and Social Networking. February 2013, 16(2): 119-122. doi:10.1089/cyber.2012.0130.
Mate’, G. Scattered Minds: A New Look at the Origins and the Healing of Attention Deficit Disorder. (2000). Vintage Canada.
May-Benson, T. A., & Cermak, S. A. (2007). Development of an assessment for ideational praxis. American Journal of Occupational Therapy, 61, 148–153.
Meier, E.P., Gray, J. Facebook Photo Activity Associated with Body Image Disturbance in Adolescent Girls. Cyberpsychology, Behavior, and Social Networking. -Not available-, ahead of print. doi:10.1089/cyber.2013.0305.
Mental Health: A Report of the Surgeon General, Overview of Mental Disorders in Children [report on the internet]. Available from: http://www.surgeongeneral.gov/library/mentalhealth/chapter2/sec2_1.html.
Mental Health in the United States: Prevalence of Diagnosis and Medication Treatment for Attention Deficit/Hyperactivity Disorder. Centre for Disease Control and Prevention. 2003. Available from: www.cdc.gov/mmwr/preview/mmwrhtml/mm5434a2.htm.
Mentzoni, RA, Brunborg, GS, Molde H, Myrseth H, Mar Skouveroe KJ, Hetland J, Pallesen S. Problematic Video Game Use: Estimated Prevalence and Associations with Mental and Physical Health. Cyberpsychology, Behavior, and Social Networking. 2011;110306113133023.doi:10.1089/cyber.2010.0260.
Mercola Dr. Exercise Can Be an ADHD Medication published October 17, 2014 http://fitness.mercola.com/sites/fitness/archive/2014/10/17/exercise-adhd-medication.aspx?e_cid=20141017Z1_DNL_art_2&utm_source=dnl&utm_medium=email&utm_content=art2&utm_campaign=20141017Z1&et_cid=DM59815&et_rid=696114441
Merrow, J. Below C Level: How American Education Encourages Mediocrity and What We Can Do about It. (2010). Kindle Edition.
Montagu, A. Touching: the Human Significance of the Skin 2nd Edition. New York: Harper and Row; 1972.
Miller LJ et al. Attention deficit hyperactivity disorder and sensory modulation disorder: A comparison of behavior and physiology. Research in Developmental Disabilities, 2012; 33 (3), 804-818
Mlot,S. Infographic: Are you addicted to the Internet? Retrieved from http://www.pcmag.com/article2/0,2817,2416474,00.asp on Mar. 11, 2013
Moms Demand Action for Gun Sense in America. Analysis of School Shootings December 15, 2012 to February 10, 2014. https://s3.amazonaws.com/s3.mayorsagainstillegalguns.org/images/SchoolShootingsReport.pdf
Montagu, A. (972). Touching: The Human Significance of the Skin. William Morrow Paperbacks, HarperCollins Publishers, New York.
Moore, E.A. Metastudy: Violent video games raise aggression CNET on March 2, 2010.
Morgan, L. L. et al. Mobile phone radiation causes brain tumors and should be classified as a probable human carcinogen (2A) (Review). International Journal of Oncology, published online February 25, 2015 pages: 1865-1871 DOI: 10.3892/ijo.2015.2908
Mossle T, Kleimann M, Rehbein F, Pfeiffer C. Media use and school achievement – boys at risk? British Journal of Developmental Psychology. 2010; 28 (3); 699-725.
MSU News (2012) Multiple media use tied to depression anxiety. Retrieved from http://research.msu.edu/stories/multiple-media-use-tied-depression-anxiety on December 4, 2012.
Mukaddes NM, Bilge S, Alyanak B, Kora ME. Clinical characteristics and treatment responses in cases diagnosed as Reactive Attachment Disorder. Child Psychiatry and Human Development. 2000; 30 (4): 273-287.
Muralidharan, S. & Fenton, M. (2009). Containment strategies for people with serious mental illness (Review). The Cochrane Collaboration, published in The Cochrane Library, Issue 4. John Wiley and Sons, Ltd.
Murray J, Liotti M, Ingmundson P, Mayberg H, Pu Y, Zamarripa F, Liu Y, Woldorff M, Gao J, Fox P. Children’s brain activations while viewing televised violence revealed by fMRI. Media Psychology. 2006; 8 (1): 25-37.
Naish, J. (2013) How gadgets and the internet are turning us into a nation of emotional basket cases. Retrieved from http://www.dailymail.co.uk/sciencetech/article-2175674/How-gadgets-internet-turning-nation-emotional-basket-cases.html#ixzz2PSK3NAev on March 11, 2013.
National Association for Sport and Physical Education. NASPE Releases First Ever Physical Activity Guidelines for Infants and Toddlers. February 6, 2002. Available at: http://www.aahperd.org/naspe/template.cfm?template=toddlers.html.
National Center for Education Statistics (2010). United States Department of Education: Institute of Education Sciences. Available at: http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2000071
The National Center on Addiction and Substance Abuse at Columbia University. (2011)
National Survey of American Attitudes on Substance Abuse XVI: Teens and Parents.
National Institutes of Health News Release – June 28, 2010. Available at:
http://www.nih.gov/news/health/jun2010/niddk-28.htm
National Institute of Mental Health. Press Release, December 14, 2009. National Survey Tracks Rates of Common Mental Disorders Among American Youth. Available at: http://www.nimh.nih.gov/science-news/2009/national-survey-tracks-rates-of-common-mental-disorders-among-american-youth.shtml
National Post. Monday, Aug. 16, 2010. School board rejects concern Wi-Fi makes kids sick. By Linda Nguyen. Available at: http://www.nationalpost.com/news/School+board+rejects+concern+makes+kids+sick/3404752/story.html
National Toxicology Program (NTP) May 27, 2016 http://www.niehs.nih.gov/news/newsletter/2016/6/science-highlights/cellphones/index.htm
Nelson MC, Neumark-Sztainer DR, Hannan PJ, Sirard JR, Story M. Longitudinal and secular trends in physical activity and sedentary behavior during adolescence. Pediatrics. 2006; 118 (6): 1627-1634.
Neuroscience News. Researchers identify risk factors for addictive video game use among adults. Retrieved from http://neurosciencenews.com/neuropsychology-video-game-addiction-risk-factors-431/ on September 23, 2013.
News.com.au. Ohio teenager Daniel Petric killed mother over Halo 3 video game. By staff writers on January 13, 2009. Available at: http://www.news.com.au/technology/teen-killed-mother-over-video-game/story-e6frfro0-1111118553464
New York Magazine. Snooze or Loose. By Po Bronson Published Oct 7, 2007. Available at: http://nymag.com/news/features/38951/
New York Times. Researchers Fail to Reveal Full Drug Pay. The New York Times June 8, 2008. Available at: http://www.nytimes.com/2008/06/08/us/08conflict.html.
New York Times. No Einstein in Your Crib? Get a Refund. The New York Times October 23, 2009. Available at: http://www.nytimes.com/2009/10/24/education/24baby.html?_r=1.
Nielsen Quarterly Report http://it.nielsen.com/site/documents/A2M2_3Screens_1Q09_FINAL.pdf.
Nunez-Smith M, Wolf E, Mikiko Huang H, Chen P, Lee L, Emanuel EJ, Gross, CP. Media and Child and Adolescent Health: A Systematic Review. Available online at http://www.commonsensemedia.org/sites/default/files/NunezSmith%20CSM%20media_review%20Dec%204.pdf
O’Connor, E. (2014) B.C. kids are under-reporting cyberbullying, survey shows. The Province. Retrieved from http://www2.canada.com/theprovince/news/story.html?id=4a4db819-3c7d-45aa-bcde-3af7c43c39f9 on September 5, 2014.
O’Meara, K.P. Three-fold Increase in Mass Shootings in Step with Increased Psychiatric Drugging. Citizense Commission on Human Rights International. Retreived from http://www.cchrint.org/2013/11/19/three-fold-increase-in-mass-shootings-in-step-with-increased-psychiatric-drugging/ on November 19, 2013.
Ogden C. L., Carroll, M. D., Kit, B.K., & Flegal K. M. (2014). Prevalence of childhood and adult obesity in the United States, 2011-2012. Journal of the American Medical Association, 311(8), 806-814.
Okita, S.Y. Self–Other’s Perspective Taking: The Use of Therapeutic Robot Companions as Social Agents for Reducing Pain and Anxiety in Pediatric Patients. Cyberpsychology, Behavior, and Social Networking. June 2013, 16(6): 436-441. doi:10.1089/cyber.2012.0513.
Ortiz de Gortari, A., Aronsson, K., & Griffiths, M. (2011). Game Transfer Phenomena in Video Game Playing: A Qualitative Interview. International Journal of Cyber Behavior, Psychology, and Learning, 1(3),15-33.
Ortiz de Gortari, A. & Griffiths, M. (2014). Automatic Mental Processes, Automatic Actions and Behavior in Game Transfer Phenomena: An Empirical Self-Report Study Using Online Forum Data. International Journal of Mental Health and Addiction, 12(4), 432-452.
Organization for Economic Co-operation and Development – New approach needed to deliver on technology’s potential in schools. (2015). Retrieved from http://www.oecd.org/education/new-approach-needed-to-deliver-on-technologys-potential-in-schools.htm
Paavonen EJ, Pennonen M, Roine M. Passive Exposure to TV Linked to Sleep Problems in Children. Journal of Sleep Research. 2006; 15: 154-161.
Pagani LS, Fitzpatrick MA, Barnett TA, Dubow E. Prospective Assoications Between Early Childhood Television Exposure and Academic, Psychosocial, and Physical Well-being by Middle Childhood. Archives of Pediatric and Adolescent Medicine. 2010; 164(5): 425-431.
Pall, M.L. (2013). Electromagnetic fields act via activation of voltage-gated calcium channels to produce beneficial or adverse effects. Journal of Cellular and Molecular Medicine. 17(8). 958-965. doi: 10.1111/jcmm.12088
participACTION. Retrieved on March 18, 2014 from http://www.participaction.com/.
ParticipAction and The Canadian Society for Exercise Physiology (CSEP). Canadian Physical Activty Guidelines (0-4 year age range). Published online 2014. http://www.csep.ca/CMFiles/Guidelines/CSEP_PAGuidelines_early-years_en.pdf
ParticipAction and The Canadian Society for Exercise Physiology (CSEP). Canadian Sedentary Behaviour Guidelines (0-4 year age range). Published online 2014. http://www.csep.ca/CMFiles/Guidelines/CSEP_SBGuidelines_early-years_en.pdf
Parush, S., Sohmer, H., Steinberg, A. and Kaitz, M. Somatosensory function in boys with ADHD and tactile defensiveness. (2007). Physiology & Behavior 90; 553–558.
Pathways Awareness (2011) National Survey: Pediatric Therapists Report Sensory Issues Commonly Mistaken for ADHD – Recommended Treatment is Therapy, Not Medication. Retrieved from: http://www.pathways.org/images/press_center/Press_Release_Sensory_integration_1.27.11.pdf
Payne Carter, S., Greenberg, K., Walker, M. (2016) The Impact of Computer Usage on Academic Performance: Evidence from a Randomized Trial at the United States Military Academy SEII Discussion Paper #2016.02 https://seii.mit.edu/wp-content/uploads/2016/05/SEII-Discussion-Paper-2016.02-Payne-Carter-Greenberg-and-Walker-2.pdf
Pempek, Tiffany, Kirkorian, Heather L. & Anderson, Daniel R. (2014) The Effects of Background Television on the Quantity and Quality of Child-Directed Speech by Parents, Journal of Children and Media, 8:3, 211-222, DOI: 10.1080/17482798.2014.920715
Peper E. Support Healthy Brain Development: Implications for Attention Deficit/Hyperactivity Disorder published in Somatics 2014 http://www.zoneinworkshops.com/pdf/Somatics%202014-Peper.pdf
Pelligrini AD, Bohn CM. The role of recess in children’s cognitive performance and school adjustment. Educational Researcher. 2005; 34(1): 13-19.
PENT Forum (2008). Available at: http://www.pent.ca.gov/beh/rst/restraintresources.pdf
Peskin,M.F., Markham, C.F., Addy, R.C., Shegog, R., Thiel, M.,Tortolero.S.R. Prevalence and Patterns of Sexting Among Ethnic Minority Urban High School Students. Cyberpsychology, Behavior, and Social Networking. June 2013, 16(6): 454-459. doi:10.1089/cyber.2012.0452.
Petersen MC, Kube DA,Palmer FB. High prevalence of children with developmental disabilities admitted to a general pediatric inpatient unit. Journal of Developmental and Physical Disabilities. 2006; 18 (3): 307-318.
Phillips C. Medicine Goes to School: Teachers as Sickness Brokers for ADHD. Public Library of Science Medicine. 2006; 3(4): e182. Available at: http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0030182.
Philips, A.L. (2001) A Walk in the Woods – Evidence builds that time spent in the natural world benefits human health. American Scientis, Volume 99, Number 4 Page: 301 DOI: 10.1511/2011.91.301
Poels, K., Ijsselsteijn, W. A., de Kort, Y. World of Warcraft, the aftermath: How game elements transfer into perceptions, associations and (day)dreams in the everyday life of massively multiplayer online role-playing game plyers. New Media and Society. 2015: 17(7); 1137-1153
Pollet T, Roberts S, Dunbar R. Use of Social Network Sites and Instant Messaging Does Not Lead to Increased Offline Social Network Size, or to Emotionally Closer Relationships with Offline Network Members. Cyberpsychology, Behavior, and Social Networking. April 2011, 14(4): 253-258
Primack BA, Swanier B, Georgiopoulos AM, Land SR, Fine MJ. Association Between Media Use in Adolescence and Depression in Young Adulthood. Archives of General Psychiatry. 2009; 66(2):181-188.
Przybylski, A.K. (2014) Electronic Gaming and Psychosocial Adjustment.Pediatrics; originally published online. DOI: 10.1542/peds.2013-4021
Psychiatric Times. June 26, 2009. By Allen Francis. A Warning Sign On the Road to the DSMV: Beware of its Unintended Consequences. Available from: http://www.psychiatrictimes.com/dsm-5/content/article/10168/1425378
Rabin, R.C.(2011) Video Games and the Depressed Teenager. Retrieved from http://well.blogs.nytimes.com/2011/01/18/video-games-and-the-depressed-teenager/ on January 11, 2014.
Radesky JS, Kistin CJ, Zukerman B, Nitzberg K, Gross J, Kaplan-Sandoff M, Augustyn M, Silverstein M. Patterns of Mobile Device Use by Caregivers and Children During Meals in Fast Food Restaurants. Pediatrics. Published online March 10, 2014 doi: 10.1542/peds.2013-3703. http://pediatrics.aappublications.org/content/early/2014/03/05/peds.2013-3703.abstract
Raine ADHD Study: Government of Western Australia – Department of Health. Long-term outcomes associated with stimulant medication in the treatment of ADHD in children. http://www.health.wa.gov.au/publications/documents/MICADHD_Raine_ADHD_Study_report_022010.pdf.
Ram, E. (2015). Hillcrest Highschool Staff Survey. The Highlander. Retrieved from: http://www.hillcresthighlighter.com/editorial-lifted-the-ban-on-cell-phones.html
Rapport MD, Bolden J, Kofler MJ, Sarver DE, Raiker JS, Alderson RM. Hyperactivity in Boys with Attention-Deficit/Hyperactivity Disorder (ADHD): A Ubiquitous Core Symptom or Manifestation of Working Memory Deficits? Journal of Abnormal Child Psychology. 2008; DOI 10.1007/s10802-008-9287-8.
Ratey JJ, Hagerman E (2008). Spark: The Revolutionary New Science of Exercise and the Brain. Little, Brown and Company, New York.
Rehbein, F., Kleimann, M. & Mobie, T. (2010). Prevalence and Risk Factors of Video Game Dependency in Adolescence: Results of a German Nationwide Study. Cyberpsychology, Behavior and Social Networking. 13(3): 269-277. DOI: 10.1089/cyber.2009.0227
Reilly JJ, Jackson DM, Montgomery C, Kelly LA, Slater C, Grant S, Paton JY. Total Energy Expenditure and Physical Activity in Young Scottish Children: Mixed Longitudinal Study. 2004; 363:211-212.
Reinblatt SP, Riddle MA. (2006) Selective serotonin reuptake inhibitor-induced apathy: a pediatric case series. Journal of Child Adolescent Psychopharmacology 16(1-2):227-33.
Rideout VJ, Vandewater EA, Wartella EA. Zero to six: electronic media in the lives of infants, toddlers and preschoolers. Menlo Park (CA): Kaiser Family Foundation; Fall 2003.
Rine RM, Braswell J, Fisher D, Joyce K, Kalar K, Shaffer M. Improvement of motor development and postural control following intervention in children with sensorineural hearing loss and vestibular impairment. International Journal of Pediatric Otorhinolaryngology. 2004; 68, 1141-1148.
Roberts DF, Foehr UG, Rideout VJ, Brodie M. Kids and media @ the millennium: A comprehensive national analysis of children’s media use. Menlo Park (CA): Kaiser Family Foundation; 1999.
Robinson JP, Martin S. What Do Happy People Do? Journal of Social Indicators Research. 2008; 89:565-571.
Robinson T. Reducing children’s television viewing to prevent obesity. JAMA. 1999; 282 (16): 1561-1567.
Rodgers, R.F., Melioli, F., Laconi, S., Bui, E., Chabrol, H. Internet Addiction Symptoms, Disordered Eating, and Body Image Avoidance. Cyberpsychology, Behavior, and Social Networking. January 2013, 16(1): 56-60. doi:10.1089/cyber.2012.1570.
Rosack J. Prescription data on youth raise important questions. American Psychiatric Foundation – Clinical and Research News. 2003; 38 (3): 1-3.
Rosenberg, S. (2013). Cell phones and children: follow the precautionary road. Pediatric Nursing. 39(2). 65-70.
Ross, C. A. Biology and Genetics in DSM-5. Ethical Human Psychology and Psychiatry, Volume 15, Number 3, 2013 , pp. 195-198(4)
Rowan, C. (2014) Ten reasons to NOT use technology in schools for children under the age of 12 years. Moving to learn. Retrieved from http://movingtolearn.ca/2014/ten-reasons-to-not-use-technology-in-schools-for-children-under-the-age-of-12-years on September 5 2014.
Rowan, C. (2010). Unplug – Don’t Drug: A Critical Look at the Influence of Technology on Child Behavior With an Alternative Way of responding Other Than Evaluation and Drugging. Ethical Human Psychology and Psychiatry. 12 (1): 60-67.
Ruff, ME. Attention Deficit Disorder and stimulant use: An epidemic of modernity. Clinical Pediatrics 2005; 44 (7): 557-563.
Russell, C. (2013). Shallow Minds: How the Internet and WiFi in Schools Can Effect Learning. Santa Clara County Medical Association. Retrieved from: http://www.sccma-mcms.org/Portals/19/assets/docs/Wi-Fi%20in%20Schools%20rev.pdf
Saleem, M., Anderson, C.A., Gentile, D.A. Effects of Prosocial, Neutral, and Violent Video Games on College Students’ Affect. Aggressive Behaviour, 2012. doi: 10.1002/ab.21427.
Sampasa-Kanyinga, H. and Lewis, R. F. Frequent Use of Social Networking Sites Is Associated with Poor Psychological Functioning Among Children and Adolescents. Journal of Cyberpsychology, Behavior, and Social Networking. July 2015; 18(7): 380-385.
Sana, F., Weston, T., Cepeda, N.J. Laptop multitasking hinders classroom learning for both users and nearby peers. Computers and Education, Volume 62, March 2013; 24-31.
Sax, L, Kauta K. Who First Suggests the Diagnosis of Attention-Deficit/Hyperactivity Disorder? Annals of Family Medicine. 2003; 1(3):171-174. Available at: http://www.annfammed.org/cgi/reprint/1/3/171.
Schaaf RD, McKeon Nightlinger K. Occupational therapy using a sensory integrative approach: A case study of effectiveness. American Journal of Occupational Therapy. 2007; 61 (2): 239-246.
Schwarz, A. The Selling of Attention Deficit Disorder. The New York Times. Retrieved from http://www.nytimes.com/2013/12/15/health/the-selling-of-attention-deficit-disorder.html?_r=1& on December 15, 2013.
Sellers, T.S. Today’s Porn – What all adults, teens and parents need to understand about high speed internet porn. Retrieved from http://blog.tinaschermersellers.com/2013/10/06/todays-porn-what-all-adults-teens-and-parents-need-to-understand-about-high-speed-internet-porn/ on October 6, 2013.
Shanahan, T. (2007). Early literacy development: Sequence of acquisition. Encyclopedia of Language and Literacy Development (pp. 1-6). London, ON: Canadian Language and Literacy Research Network. Retrieved [insert date] from http://www.literacyencyclopedia.ca/pdfs/topic.php?topId=225.
Shao-I C, Jie-Zhi L, Der-Hsiang H. Video Game Addiction in Children and Teenagers in Taiwan. CyberPsychology and Behavior. 2004; 7(5):571-581.
Sherwin, J.C., Reacher, M.H., Keogh, R.H., Khawaja, A.P., Machey, D. A., & Foster, P.J. (2012). The association between time spent outdoors and myopia in children adolescents. Ophthalmology. 119 (10), 2141-2151. http://dx.doi.org/10.1016/j.ophtha.2012.04.020
Shin S-E, Kim, N-S, Jang E-Y. Comparison of Problematic Internet and Alcohol Use and Attachment Styles Among Industrial Workers in Korea. Cyberpsychology, Behavior, and Social Networking on May 19, 2011. doi:10.1089/cyber.2010.0470. Available at: http://www.liebertonline.com/doi/abs/10.1089/cyber.2010.0470.
Siddique, A. Children with Autism more prone to video game addiction. Retrieved from http://www.medicaldaily.com/children-autism-more-prone-video-game-addiction-245087 on April 17, 2013.
Sigman A. (2012). The impact of screen media on children: a Eurovision for parliament. In: Clouder C, et al., eds. Improving the quality of childhood in Europe 2012. Vol 3. European Parliament Working Group on the Quality of Childhood in the European Union, 88–121.
Singh R, Bhalla A, Lehl SS, Sachdev A. Video game epilepsy. Neurology India. 2001; 49 (4): 411-412.
Singh A, Uijtdewilligen L, Twisk JR, van Mechelen W, Chinapaw MM. Physical Activity and Performance at School: A Systematic Review of the Literature Including a Methodological Quality Assessment. Arch Pediatr Adolesc Med. 2012;166(1):49-55. doi:10.1001/archpediatrics.2011.716
Siomos K, Floros G, Fisoun V, Evaggelia D, Farkonas N, Sergentani E, Lamprou M, Geroukalis D. (2012) Evolution of Internet addiction in Greek adolescent students over a two-year period: the impact of parental bonding. European Child & Adolescent Psychiatry 21 (4) pg 211-219.
Singh, M, (2014) Less Sleep, More Time Online Raise Risk for Teen Depression. Retrieved from http://www.npr.org/blogs/health/2014/02/06/272441146/less-sleep-more-time-online-amp-up-teen-depression-risk on February 6, 2014.
Sloat E, Willms JD. The International Adult Literacy Survey: Implications for Canadian Social Policy. Canadian Journal of Education. 2000; 25(3):218-233. Available at: http://www.csse.ca/CJE/Articles/FullText/CJE25-3/CJE25-3-sloat.pdf.
Small G and Vorgan G. iBrain – Surviving the technological alteration of the modern mind. New York, NY: Harper Collins Publishers. 2008.
Solan H, Shelley-Tremblay J, Larson S. Vestibular Function, Sensory Integration, And Balance Anomalies: A Brief Literature Review. Journal of Optometry and Vision Development. 2007; 38(1); 1-5.
Statistics Canada. 2010. Fitness of Canadian Children and Youth: Results from the 2007-2009 Canadian Health Measures Survey. Retrieved on April 30, 2010 from http://www.statcan.gc.ca/pub/82-003-x/2010001/article/11065/key-cle-eng.htm.
Steffgen G, Konig MS, Pfetsch J, Melzer A. Are Cyberbullies Less Empathic? Adolescents’ Cyberbullying Behavior and Empathic Responsiveness. Cyberpsychology, Behavior and Social Networking on May 9, 2011. Available at: http://www.liebertonline.com/doi/abs/10.1089/cyber.2010.0445
Stickgold, R., Malia A., Maguire, D, Roddenberry, D., and O’Connor M. Replaying the Game: Hypnagogic Images in Normals and Amnesics. Science. October 2000: 290(5490); 350-353. Retrieved from http://www.sciencemag.org/content/290/5490/350 on August 13, 2015.
Strauss RS, Pollack HA. Epidemic increase in childhood overweight, 1986-1998. JAMA. 2001; 286 (22) 2845-2848.
Sudan, M., Kheifets, L., Arah, O., Olsen, J., & Zeltzer, L. (2012). Prenatal and postnatal cell phone exposures and headaches in children. The Open Pediatric Medicine Journal. 6, 46-52.
Swanson, J. M., Elliot, G. R., Greenhill, L. L., Wigal, T., Arnold, L. E. & Vitiello, M., Hechtman, L., Epstein, J. N., Pelham, W. E., Abikoff, . B., Newcorn, J., H., Molina, B. S. G., Hinshaw, S., G., Swing, E. L., Gentile, D. A., Anderson, C. A. & Walsh, D. A. (2010). Television and Video Game Exposure and the Development of Attention Problems. Pediatrics. 126: 214-221. doi: 10.1542/peds.2009-1508
Swing, E.L., Gentile, D.A., Anderson, C.A., Walsh, D.A. (2010) Television and Video Game Exposure and the Development of Attention Problems. Pediatrics Online 2010; 126, 214.
Tandon, P.S., Zhou, C., Lozano, P., Christakis, D.A. (2011) Pre-schoolers total daily screen time at home and by type of childcare. The Journal of Pediatrics – February 2011 (Vol. 158, Issue 2, Pages 297-300, DOI: 10.1016/j.jpeds.2010.08.005)
Tannock MT. Rough and tumble play: an investigation of the perceptions of educators and young children. Journal of Early Childhood Education. 2008; 35: 357-361.
Telegraph, UK. March 5, 2010. Korean couple let baby starve to death while caring for virtual child. Available at: http://www.telegraph.co.uk/news/worldnews/asia/southkorea/7376178/Korean-couple-let-baby-starve-to-death-while-caring-for-virtual-child.html
Thakkar, V. Diagnosing the wrong Deficit. Retrieved from http://www.nytimes.com/2013/04/28/opinion/sunday/diagnosing-the-wrong-deficit.html?pagewanted=1&ref=general&src=me On April 28, 2013.
The well-being of Canada’s young children [report on the internet]. Government of Canada; 2003. Cat. No.: RH64-20/2003, ISBN: 0-662-67443-X. Available from: http://www.socialunion.gc.ca/ecd/2003/RH64-20-2003E.pdf.
The Telegraph. February 12, 2014. Six-year-old children acting out sex and drug scenes from Grand Theft Auto, says headteacher. http://www.telegraph.co.uk/technology/video-games/10632958/Six-year-old-children-acting-out-sex-and-drug-scenes-from-Grand-Theft-Auto-says-headteacher.html
Think Progress. There has been an average of one school shooting every other day so far this year. January 23, 2014. http://thinkprogress.org/justice/2014/01/23/3192911/normal-school-shootings/
Thomas CP, Conrad P, Casler R, Goodman E. Trends in the use of psychotropic medications among adolescents, 1994 to 2001. Psychiatric Services. 2006; 57 (1): 63-69.
Thompson, P. (2004) Imaging study shows brain maturing. National Institute of Mental health. Retreived from http://www.nimh.nih.gov/news/science-news/2004/imaging-study-shows-brain-maturing.shtml on March 11, 2014.
Tomblin, B. Literacy as an Outcome of Language Development and its Impact on Children’s Psychosocial and Emotional Development. Canadian Language and Literacy Research Network. 2006. Available at: http://www.literacyencyclopedia.ca.
Tomchek, S. D. & Dunn, W. Sensory Processing in Children With and Without Autism: A Comparative Study Using the Short Sensory Profile. American Journal of Occupational Therapy, 61 (2), 190-200.
Tremblay MS, Katzmarzyk PT, Willms JD. Temporal trends in overweight and obesity in Canada, 1981-1996. International Journal of Obesity. 2002; 26(4): 538-543.
Tremblay MS, Willms JD. Is the Canadian childhood obesity epidemic related to physical inactivity? International Journal of Obesity. 2005; 27: 1100-1105.
Tremblay, M.S., LeBlanc, A.G., Kho, M.E., Saunders, T.J., Larouche, R., Colley, R.C., Goldfield, G., Gorber, S.C. (2011) Systematic review of sedentary behaviour and health indicators in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity 2011, 8:98 doi:10.1186/1479-5868-8-98
University of Bristol, School for Policy Studies News October 11, 2010. Screen time linked to psychological problems in children. Available at:
http://www.bristol.ac.uk/sps/news/2010/107.html
Turcotte, Martin. Time spent with family during a typical workday 1986 to 2005. Statistics Canada. Catalogue No. 11-008. Available from: http://www.statcan.ca/english/freepub/11-008-XIE/2006007/pdf/11-008-XIE20060079574.pdf
Uhls Y.A., Michikyan M., Morris J., Garcia, D.,Small G.W, Zgourou E.,Greenfield P.M. (2014) Five days at outdoor education camp without screens improves preteen skills with nonverbal emotion cues. Computers in Human Behaviour, Volume 39, October 2014, Pages 387–392
University of North Carolina at Chapel Hill. (2013, July 29). Human cells respond in healthy, unhealthy ways to different kinds of happiness. ScienceDaily. Retrieved September 22, 2014 from www.sciencedaily.com/releases/2013/07/130729161952.htm
US Consumer Product Safety Commission. Handbook for Public Playground Safety. Washington, DC. http://www.cpsc.gov/cpscpub/pubs/325.pdf.
US Consumer Product Safety Commission. Public Playground Safety Checklist. Washington, DC. http://www.cpsc.gov/cpscpub/pubs/327.html.
Vancouver Sun by Kim Pemberton March 29, 2010. Violence against school staff is on the rise: Injuries mount as teachers, principals and support workers become targets for assault by students. Kim Pemberton. Retrieved on August 10, 2010 from http://www.vancouversun.com/news/Violence+against+school+staff+rise/2733827/story.html
Vancouver Sun by Amy Smart on November 22, 2013. Dozens of B.C. kids with special needs restrained or secluded at school: parents. Retrieved on February 26, 2014 from http://www.vancouversun.com/mobile/news/vancouver/Dozens+kids+with+special+needs+restrained+secluded+school/9202263/story.html
Van den Heuvel, A., Van Den Eijnden, R., van Rooij, A.J., van de Mheen, D. (2012). Meeting online contacts in real life among adolescents: The predictive role of psychosocial wellbeing and internet-specific parenting. Computers in Human Behavior 28 (2) pg 465-472.
Vandewater E. A., Bickham, D. S., Lee, J. H., Cummings, H. M., Wartella, E. A. & Rideout, V. J. (2005). When the television is always on: Heavy television exposure and young children’s development. American Behavioral Scientist, 48, 562-577.
Vandewater, E. A., Lee, J. H., & Shim, M. (2005). Family conflict and violent electronic media use among school-aged children. Media Psychology, 7, 73-86.
Viner, R. M., Roche, E., Maguire, S. A. & Nicholls, D. E. (2010). Childhood protection and obesity: framework for practice. British Medical Journal. 341:c3074; doi:10.1136/bmj.c3074
Vitiello, B. & Towbin, K. (2009). Stimulant Treatment of ADHD and Risk of Sudden Death in Children. Journal of American Psychiatry. 166; 955-957. doi: 10.1176/appi.ajp.2009.09050619
Volkow, N.D., Tomasi, D., Wang, G., Vaska, P., Fowler, J. S., Telang, F.,…Wong, C. (2011). Effects of Cell Phone Radiofrequency Signal Exposure on Brain Glucose Metabolism. Journal of the Medical Association. 305 (8). doi:10.1001/jama.2011.186.
Voss, A. D. O., Cash, H., Hurdiss, S., Bishop, F., Klam W. P., and Doan, A. P. Case Report: Internet Gaming Disorder Associated With Pornography Use. Yale Journal of Biology and Medicine. 2015: 88; pp.1-xxx.
Waddell C, Hua JM, Garland O, DeV. Peters R, McEwan K. Preventing Mental Disorders in Children: A Systematic Review to Inform Policy-Making. Canadian Journal of Public Health. 2007; 98(3): 166-173.
Waddell C. Improving the Mental Health of Young Children. Children’s Health Policy Centre, Simon Fraser University, Vancouver BC, Canada. 2007. Available at: http://www.firstcallbc.org/pdfs/Communities/4-alliance.pdf.
Waldman, M. (December 2006). Does Television Cause Autism? Cornell University. Retrieved on April 30, 2010 from http://www.johnson.cornell.edu/faculty/profiles/waldman/autism-waldman-nicholson-adilov.pdf.
Wane, S.S. Studies Examine Autism’s Link to Antidepressants, Other Factors. The Wall Street Jounral, July 5, 2011. Retrieved from : http://online.wsj.com/article/SB10001424052702304450604576419761141034324.html
Ward S. Baby Talk. Arrow Books Ltd, Random House Publishers Group; London, UK. 2004.
Ward, V. Toddlers becoming so addicted to iPads they require therapy. Retrieved from http://www.telegraph.co.uk/technology/10008707/Toddlers-becoming-so-addicted-to-iPads-they-require-therapy.html on April 21, 2013.
Washington Post by Anthony Faiola May 27, 2006. When Escape Seems Just a Mouse Click Away. Available at: http://www.washingtonpost.com/wpdyn/content/article/2006/05/26/AR2006052601960.html
Weisskirch RS. No Crossed Wires: Cell Phone Communication in Parent-Adolescent Relationships. Cyberpsychology, Behavior and Social Networking on June 27, 2011 Available at:
http://www.liebertpub.com/contentframe.aspx?code=PTwO51UJtdLXj4PbCAd%2b9O61QLd 6H8GZ41xAX4QUr60XXFuL5J4PBhXzkH8HkRY27oEZ3lftKxPpFPzhIlWKeUmYqZytBcNc9vU%2b8c VSO9c%3d
Welch MG, Northrup RS, Welch-Horan TB, Ludwig RJ, Austin CL, Jacobson JS. Outcomes of prolonged parent-child embrace therapy among 102 children with behavior disorders. Complementary Therapies in Clinical Practice. 2006; 12(1): 3-12.
Wells, K., C., Hoza, B., Jensen, P. S., Gibbons, R. D., Hur, K., Stehli, A., Davies, M., Marsh, J. S., Connors, C., K., Caron, M. & Volkow, N. D. (2007). Effects of Stimulant Medication on Growth Rates Across 3 Years in the MTA Follow-up. Child and Adolescent Psychiatry. 46(8);1015-1027. doi:10.1097/chi.0b013e3130686d7e
Weng, C.B., Qian, R.B., Fu, X.M., Lin, B., Han, X.P., Niu, C.S., Wang, Y.H. Gray Matter and white matter abnormalities in online game addiction. Eur J Radiol. 2013 Aug;82(8):1308-12. doi: 10.1016/j.ejrad.2013.01.031. Epub 2013 Mar 6.
Willard NE. The Authority and Responsibility of School Officials in Responding to Cyberbullying. Journal of Adolescent Health. 2007; 41:S64-65.
Willms JD. Vulnerable Children. University of Alberta Press; Edmonton. 2002.
Willoughby, T., Adachi, P.J., Good, M. A longitudinal study of the association between violent video game play and aggression among adolescents. Developmental Psychology, 2012 Jul;48(4):1044-57
Winterstein AG, Gerhard T, Shuster J, Saidi A. Cardiac Safety of Methylphenidate Versus Amphetamine Salts in the Treatment of ADHD. Pediatrics. 2009; 124 (1): e75-e80.
WND Education. Psych Meds Linked to 90% of School Shootings. Dec. 18, 2012, by Jerome Corsi. http://www.wnd.com/2012/12/psych-meds-linked-to-90-of-school-shootings/
Woda, T. (2014). Is my child watching pornography online? Retrieved from: http://resources.uknowkids.com/blog/is-my-child-watching-pornography-online
Wolak J, Mitchell K, Finkelhor D (2007). Unwanted and Wanted Exposure to Online Pornography in a National Sample of Youth Internet Users Pediatrics 2007;119;247
World Health Organization – International Agency for Research on Cancer, Press Release No. 208, May 31, 2011. http://www.iarc.fr/en/media-centre/pr/2011/pdfs/pr208_E.pdf
World Health Organization. (2014). Global Strategy on Diet, Physical Activity and Health. Facts and Figures on Childhood Obesity. Retrieved from: http://www.who.int/dietphysicalactivity/childhood/en/
Worthen, B. (2012) The Perils of Texting While Parenting. The Wall Street Journal.
Worthen MR. Education Policy Implications from the Expert Panel on Electronic Media and Youth Violence. Journal of Adolescent Health. 2007; 41:S61-63.
Xiuquin, H., Huimin, Z., Mengchen, L., Jinan, W., Ying, Z. and Ran, T. (2010). Mental Health, Personality, and Parental Rearing Styles of Adolescents with Internet Addiction Disorder. Cyberpsychology, Behavior, and Social Networking. DOI: 10.1089/cyber.2009.0222
Yang, S. (2013). New eye clinic to target youth amid epidemic of nearsightedness. UC Berkeley News Center. Retrieved from: http://newscenter.berkeley.edu/2013/08/28/myopia-control-clinic/
Ybarra ML, Diener-West M, Leaf PJ. Examining the Overlap in Internet Harassment and School Bullying: Implications for School Intervention. Journal of Adolescent Health. 2007; 41:S42-S50.
Ybarra, M.L., Mitchell, K.J. (2005) Exposure to Internet Pornography among Children and Adolescents: A National Survey. CyberPsychology and Behavior 2005; Vol 8, No 5, 473-482.
Yen JY, Yen, CF, Chen CS, Tang TC, Ko CH. The Association between Adult ADHD Symptoms and Internet Addiction among College Students: The Gender Difference. CyberPsychology & Behavior. 2008: doi:10.1089/cpb.2008.0113.
Young, K.S. Treatment outcomes using CBT-IA with Internet-addicted patients. Journal of behavioral Addictions 2(4),pp.209-215 (2013). DOI:10.1556/JBA.2.2013.4.3.
Young, K. Reflections from the International Congress on Internet Addiction Disorders – Cultural and Clinical Perspectives. Retrieved from http://netaddiction.com/internet-addiction-disorder/ on September 15, 2014.
Yuan, Kai, Ping Cheng, Tao Dong, Yanzhi Bi, Lihong Xing, Dahua Yu, Limei Zhao, et al. “Cortical Thickness Abnormalities in Late Adolescence with Online Gaming Addiction.” Edited by Bogdan Draganski. PLoS ONE 8, no. 1 (January 9, 2013): e53055. doi:10.1371/journal.pone.0053055.
Yuan, Kai, Chenwang Jin, Ping Cheng, Xuejuan Yang, Tao Dong, Yanzhi Bi, Lihong Xing, et al. “Amplitude of Low Frequency Fluctuation Abnormalities in Adolescents with Online Gaming Addiction.” Edited by Krish Sathian. PLoS ONE 8, no. 11 (November 4, 2013): e78708. doi:10.1371/journal.pone.0078708.
Yuan, Kai, Wei Qin, Guihong Wang, Fang Zeng, Liyan Zhao, Xuejuan Yang, Peng Liu, et al. “Microstructure Abnormalities in Adolescents with Internet Addiction Disorder.” Edited by Shaolin Yang. PLoS ONE 6, no. 6 (June 3, 2011): e20708. doi:10.1371/journal.pone.0020708.
Zhou, Yan, Fu-Chun Lin, Ya-Song Du, Ling-di Qin, Zhi-Min Zhao, Jian-Rong Xu, and Hao Lei. “Gray Matter Abnormalities in Internet Addiction: A Voxel-Based Morphometry Study.” European Journal of Radiology 79, no. 1 (July 2011): 92–95. doi:10.1016/j.ejrad.2009.10.025.
Zimmerman FJ, Christakis DA, Meltzoff AN. Television and DVD/video viewing in children younger than 2 years. Archives of Pediatric Adolescent Medicine. 2007; 161 (5): 473-479.
Zito JM, Safer DJ, dosReis S, Gardner JF, Boles M, Lynch F. Trends in the prescribing of psychotropic medications to preschoolers. JAMA. 2000; 283: 1025-1030.
Zito JM, Safer DJ, dosReis S, Gardner JF, Soeken K, Boles M, Lynch F. Rising prevalence of antidepressants among US youth. Pediatrics. 2002; 109 (5): 721-727.
Zito JM, Safer DJ, dosReis S, Gardner JF, Magder L, Soeken K, Lynch F, Riddle M. Psychotropic practice patterns for youth. Archives of Pediatric and Adolescent Medicine. 2003; 157(1): 17-25.