A research review regarding the impact of technology on child development, behavior, and academic performance


A research review regarding the impact of technology on child development, behavior, and academic performance.

 

  • Infants watch 2.5 hours per day of TV and children use 7.5 hours per day of entertainment technologies (cell phone, TV, internet).
  • 39% of parents use 11 or more hours per day of screen media during their leisure time.
  • 30% of children will enter kindergarten developmentally vulnerable
  • 25% of children are obese in Canada, 30% in the U.S.
  • 14.3% of children in Canada have been diagnosed with a mental illness
  • Canada is 13th and U.S 27th on world stage in math, science and reading (2012 PISA), and half of grade eight students do not have job entry literacy

 

The ways in which we are educating and raising our children with technology are no longer sustainable.

 

Impact Statement

The past decade has seen a profound increase in use of entertainment technology by children, some as young as one month of age. Critical milestones for child sensory, motor and attachment development are not being met. Developmental delay, obesity, mental illness, attention deficit, and illiteracy are now becoming the norm. Attachment to technology is “detaching” children from humanity, with consequent increased incidence of childhood psychological and behavior disorders, often accompanied by prescription of psychotropic medication.

Media violence has now been categorized as a Public Health Risk due to causal links to child aggression. Brain development research shows technology overuse by children results in “pruning” of tracks to the frontal cortex, adversely affecting executive functioning and impulse control. Early studies now indicate that electromagnetic radiation emitted from some forms of technology is harmful to adult physical and mental health, with no studies to date on the effects of EMF radiation on children. Schools continue to escalate use of “educational” technologies without any research evidence to show efficacy or safety.

It is now time for parents, teachers, health professionals, government, researchers and technology production corporations to join together to manage balance between healthy activity and technology use, a concept termed Balanced Technology Management.

The Zone’in Fact Sheet information is formatted by impact topic, with referenced research alphabetized at the end of document.

  • Technology Use: usage statistics; technology addiction prevalence
  • Physical Impairments: developmental delay; obesity, cardiovascular disorders and diabetes; movement deprivation, sensory overstimulation, elecrtromagnetic radiation, sleep disruption
  • Mental Disorders: human detachment and mental illness; psychotropic medication, restraints, and seclusion rooms, touch deprivation, pornography and risky behavior
  • Social Disorders: communication, aggression and declining empathy,
  • Academic Decline: attention deficit; illiteracy, education technology;
  • Implications and Solutions: costs, technology screening an management, playgrounds as epicenter for child development and learning

 

Technology Use Overview

  • Elementary aged children now use an average 7.5 hours per day entertainment technology,  (TV, video games, internet, movies, and cell phones), with total amount of exposure time averaging 11 hours per day. Two thirds of children report their parents do not restrict their access to technology, and 75% of these children have devices in their bedrooms (Kaiser Foundation Report 2010).
  • 78% of parents report “no conflict” with their children regarding technology usage, and 39% of parents use 11 or more hours of screen media during their leisure time (Center on Media and Human Development 2013).
  • “Baby TV” now occupies 2.5 hours per day for the 0-2 year old population, and television occupies 4.5 hours per day for 3-5 year olds, and 7.5 hours per day for elementary aged children and is causally linked to developmental delays (Christakis D 2007). This situation has prompted France to ban its broadcasters from airing TV shows aimed at children under three years of age (CBC News, 2008), and Disney to offer refunds for their “Baby Einstein” DVD’s (NY Times, 2009).
  • 173 research efforts going back to 1980 were analyzed and rated, showing 80% of the studies showed a link between the following negative health outcomes and media hours or content: obesity, smoking, sexual behavior, drug use, alcohol use, low academic achievement and ADHD(Nunez-Smith M 2004, Zimmerman F 2007, Hancox R 2005, Murray J 2006).
  • By preschool age, 80% of children are in some form of child care. Average screen time was 4.1 hours daily, including 3.6 hours at home and 0.4 hours in child care. Children in centers had the lowest screen time (3.2 hours) compared with children in parental care only (4.4 hours) (Tandon et. al, 2011).
  • An American study found that children have access to a mean of five connected devices at home; a higher number of devices was correlated with increased risks experienced by children, but was not associated with increased concern or information seeking from parents (Davis 2012).
  • The American Academy of Pediatrics has stated that “today’s children are spending an average of seven hours a day on entertainment media.” These estimates include time spent watching television, using a computer, on the telephone (talking or texting) and using other electronic devices (Innis, 2014).

 

Technology Usage Guidelines

  • The American Academy of Pediatrics in 2001, and again in 2013, issued statements that children between the ages of 0-2 years not be exposed to any technologies (even background TV), 3-5 years restricted to one hour total technology per day, and 6-18 years be restricted to 2 hours total technology per day (AAP 2001, 2013).
  • The Canadian Pediatric Society concurred with the AAP recommendations in 2010 (CPS 2010).
  • Children are presently using 4-5 times the amount of technology recommended by pediatric experts (Pagini 2010, Common Sense Media 2013).

The following Technology Use Guidelines for children and youth were developed by Cris Rowan pediatric occupational therapist and author of Virtual Child, Dr. Andrew Doan neuroscientist and author of Hooked on Games and Dr. Hilarie Cash, Director of reSTART Internet Addiction Recovery Program and author of Video Games and Your Kids, with contribution from the American Academy of Pediatrics and the Canadian Pediatric Society in an effort to ensure sustainable futures for all children.

Click image to enlarge

 

Technology Addiction

  • 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).
  • ADHD was the most associated symptom of Internet Addiction, followed by impulsivity (Yen J 2008).
  • 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 ininternet addiction include reduced numbers of dopamine receptors and transporters (Kim 2011 and Hou 2012).
  • Young adults experience distress when they try to unplug from technology for even one day, a research project has found. Many students also reported mental and physical symptoms of distress and “employed the rhetoric of addiction, dependency and depression,” when reporting their experiences of trying to go unplugged for a full day (CBC News 2011).
  • 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).
  • Data from 2257 students of an English university found that 3.2% of the students were classified as being addicted to the Internet (Kuss et.al., 2013).
  • A recent infographic from MapsoftheWorld.com dissects Internet addiction disorder (IAD), survey by Sodahead shows 71% of aged 18-24 yrs. reported internet addiction (Mlot, 2013).
  • Children and teenagers with autism spectrum disorder (ASD) spend longer on screen-based media like television and video games than their neurotypical siblings, according to a recent study, and are more likely to develop video game addiction (Siddique, 2013).
  • New research from the University of Missouri indicates escapism, social interaction and rewards fuel problematic video-game use among “very casual” to “hardcore” adult gamers (Neuroscience news, 2013)
  • The stronger blood volume pulse and respiratory responses, and the weaker peripheral temperature reactions of the high-risk Internet Addiction abusers indicate the sympathetic nervous system was heavily activated in these individuals (Lu D 2010).
  • 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).
  • A German nationwide survey in 2007 and 2008 of 44,610 ninth graders indicates that 3% of male and 0.3% of female students were diagnosed as Video Game Dependent accompanied by increased levels of psychological and social stress in the form of lower school achievement, increased truancy, reduced sleep time, limited leisure activities, and increased thoughts of committing suicide (Rehbein, Kleimann & Mobie, 2010).
  • Difficulty identifying feelings, higher dissociative experiences, lower self esteem, and higher impulse dysregulation were associated with higher incidence of internet addiction (DeBerardis D 2008).
  • Internet addicts are lonelier and have lower self-esteem and poorer social skills than moderate users (Ghassemzadeh L 2008).
  • Video game addiction can be statistically predicted on measures of hostility and poor academic achievement (Shao-I C 2004).
  • An internet-obsessed Korean couple allegedly allowed their infant daughter to starve to death while they cared for their virtual child (Telegraph, UK, 2010).
  • In an effort to solve the problem of escalating child internet addictions, the South Korean government has created the Jump Up Internet Rescue School, a camp designed to cure Internet-addicted or online game-addicted children (Koo C 2010).
  • A German population survey indicated that if the internet is used excessively to cope withnegative affect states and alternative means of coping are diminished, a vicious cycle may ensue with increasing stress and reliance on the reinforcing properties of certain online activities that may finally lead to addictive behaviour (Rehbein et al., 2010)
  • In a study covering evolution of internet addiction in Greek adolescent students, results indicate that Internet addiction is increased in this population parallel to an increase in Internet availability. The best predictor variables for Internet and computer addiction were parental bonding variables and not parental security practices. The three online activities most associated with Internet addiction were watching online pornography, online gambling and online gaming (Siomos et al., 2012).
  • Results show that those suffering from Internet addiction showed increased levels of trait impulsivity which were comparable to those of patients diagnosed with pathological gambling. Additionally, the severity of Internet addiction was positively correlated with the level of trait impulsivity in patients with Internet addiction. These results state that Internet addiction can be conceptualized as an impulse control disorder and that trait impulsivity is a marker for vulnerability to Internet addiction ( Hae Woo Lee, 2012).
  • A sizable minority of students experience problems related to Internet use and that the use of Facebook may contribute to the severity of symptoms associated with Internet addiction (Kittinger et al., 2012).
  • A cross-sectional study conducted with 257 adolescents found evidence among females for the mediating role of a preference for online social interaction, and a relationship between self esteem and internet addiction. No significant effects were found for males (Fioravanti et al., 2012).
  • A data analytics company, Flurry, has conducted a study that found a 123 percent increase in the number of mobile addicts over the last year. They categorize a mobile addict as someone who launches an app more than 60 times per day, or six times more than the average user (Dwyer, 2014).
  • The first ever International Congress on Internet Addiction Disorders was held in Milan on March 21 and 22, 2014. Internet addiction disorder is such a global and significant problem that international congresses have been started in order to develop programs to start addressing this issue (Young, 2014).
  • 80 per cent of people would rather go without a car, chocolate or alcohol than be without their digital device for a day according to a recent report (Bodycomb, 2014).
  • Staying connected has become an addiction called nomophobia. Not yet formally recognized, there is, however, a proposal out to include it in the next edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM) (Castle, 2014).
  • In a recent survey by CivicScience that was charted by Statista, 70% of U.S.citizens polled said they unplug from their gadgets once or week or less. Some 43% said they don’t unplug from personal electronics at all. (Fitzgerald, 2014).

 

PHYSICAL IMPAIRMENTS

Developmental Delay

  • The study, carried out by researchers at the Human Early Learning Partnership and funded in part by the Business Council of British Columbia, United Way of the Lower Mainland and Vancouver Foundation, showed that just under 30% of BC children entering kindergarten are “developmentally vulnerable” – lacking in those basic skills they need to thrive in school and in the future. This study, entitled A Comprehensive Policy Framework for Early Human Capital Investment in BC states “Economic analyses reveal this depletion (in human capital) will cause BC to forgo 20% GDP growth over the next 60 years, costing the provincial economy a sum of money that is 10 times the total provincial debt load.” (Kershaw and Anderson 2009)
  • This mapping study was repeated in 2013 by University of British Columbia’s Healthy Early Learning Partnership which showed overall continued decline in developmental delay for British Columbia children (HELP EDI Map 2013).
  • Canadian children were granted a “F” grade for inactivity in 2009 by Active Healthy Kids Canada, citing TV, internet, and video games as the primary cause (Active Healthy Kids Canada 2009 Reports).
  • 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).
  • A 2006 Canadian study reported one in six children have a developmental disability with only 55-65% of developmental disabilities are detected prior to school age entry (Hamilton S 2006).
  • Data from the 1988 National Health Interview Survey reported 17% of U.S. children had a developmental disability with 6% of child population having language impairment, 8% a learning disability, 7% ADHD and 0.5% Autism with 13.2% accessing special education assistance, resulting in 1.5 times more physician visits, 3.5 times more hospital days, twice the number of lost school days and a 2.5 fold increase in the likelihood of repeating a school grade compared to a non-developmentally disabled child (Boyle C 1994).
  • A 2006 US study reported 32% of children admitted to inpatient pediatric ward demonstrated a developmental disability (Petersen M 2006).
  • 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).
  • Canadian and U.S. children continue to escalate usage of technologies, citing 7.5 hours per day for the 8-18 years population (Active Healthy Kids Canada 2012; Common Sense Media 2013).

 

Obesity, Cardiovascular Disorders & Diabetes

  • 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, the21st 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).
  • 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).
  • Research indicates 70% of hispanic children have a TV in their bedroom, raising their risk of obesity by 30%, increasing TV usage by one hour per day, and increasing their consumption of fast food (Feng et. al, 2011).
  • In 1996, 10% of Canadian children ages 7-13 years were obese, with estimated economic costs of 1.8 billion (Tremblay M 2002).  In 2004, just eight years later, this number is 50% higher with a prevalence of obesity at fully 30% of Canadian children (Statistics Canada, 2010).
  • US study reports obesity incidence doubled in 2 to 5 year old toddler population,  increasing from 2.1% to 5.0% in boys and 4.8% to 10.8% in girls over a 6 year period (Harvey-Berino J 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).
  • 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).

 

Movement Deprivation

  • Rapid advances in technology and transportation have resulted in a physically sedentary societywith high frequency, duration and intensity of sensory stimuli (Nelson M 2006).
  • 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).
  • 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).
  • Four critical factors for healthy development and learning are movement, touch, human connection, and nature (Rowan C 2010, Insel R 2001, Korkman M 2001).
  • 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).
  • 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).
  • 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).
  • Delayed vestibular maturation correlates significantly with sensory integrative dysfunctions, slow vision processing, impaired hearing, and reading disability (Solan H 2007)..
  • Researchers found no increase in physical activity with active video games, possibly due to games were played with minimal effort and/or children exercised less during the rest of the day as a result (Baraknowski et. al, 2012).
  • A systematic review of children with autism and physical exercise showed decreases in stereotypy, aggression, off-task behavior, and elopement (Lang, 2010).
  • Canada’s Overall Physical Activity levels are at a D-, clustered near the back of the pack with Australia (D-), Ireland (D-), the United States (D-) and Scotland (F). Even though 84% of Canadian kids aged 3-4 are active enough to meet guidelines, this falls to only 7% of kids meeting guidelines at ages 5-11, and only 4% meeting guidelines at ages 12-17 (Active healthy kids Canada, 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).

 

Sensory Overstimulation

  • Sensory Processing Disorder affects 1 in 20 children www.SPDFoundation.net, 2009.
  • 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 atschool-age (Ben-Sasson, 2010). Technology overuse may result in sensory over-reactivity (Rowan, 2010).
  • 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).
  • 94.4% of adults with ASD reported extreme levels of sensory processing on at least one sensory quadrant of the Adult/Adolescent Sensory Profile (Crane, 2009).
  • 69% of children with Autism demonstrated sensory symptoms on the Sensory Experiences Questionnaire (Baranek, 2006).
  • 95% of children with Autism demonstrated some degree of sensory processing dysfunction on the Short Sensory Profile Total Score, with the greatest differences reported on the underresponsive/seeks sensation, auditory filtering and tactile sensitivity sections (Tomchek, 2007).
  • 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).
  • Children with Autism frequently exhibit photosensitivity (Baron-Cohen S 2010).
  • A study on phenotypes within sensory modulation dysfunction, describes the first subtype as characterized by sensory seeking/craving, hyperactive, impulsive, externalizing (eg, delinquent, aggressive), unsocial, inadaptive, and impaired cognitive/social behavior. The second subtype is characterized by movement sensitivity, emotionally withdrawal, and low energy/weak behaviour(James et.al, 2011).
  • The findings in a brief report on sensory abnormalities in Autism provide support for the notionthat sensory abnormality is very common in young children with autism. This symptom has been proposed for inclusion among the diagnostic criteria for ASD in the upcoming DSM-V (Klintwall, 2011).
  • A ground breaking study has found that children affected by sensory processing disorders showdifferences in brain structure. This finding suggests a biological basis for the disease and sets it apart from other neurodevelopmental disorder (Bunim, 2013).
  • In a study examining the effect of classroom decoration on focus and learning, findings stated that when placed in a highly decorated classroom, the children spent more time off-task and retained less information (Burnet, 2014).

 

Radio Frequency and Electromagnetic Radiation

  • Infants are being strapped into car seats with iPad mounts less than 6” from their face (CTV News 2013), forcing them to view glaringly bright images in a virtual reality devoid of touch and human connection.
  • Toddlers as young as 2 years of age have their own iPads, and children as young as 3 have their own cell phones (Guardian News 2014).
  • In-utero exposure to cell phone radiation in mice, caused frontal cortex change, hyperactivity, and impaired memory (Aldad et. al. 2012).
  • EMF radiation decreases sperm motility and causes sperm DNA fragmentation in humans (Avadando et. al. 2012).
  • The percentage tumor volume increased per year of latency and per 100 h of cumulative use, statistically significant for analogue phones. This study confirmed previous results demonstrating an association between mobile and cordless phone use and acoustic neuroma (Hardell et. al. 2013).
  • American Academy of Pediatrics comment on the Proposed Rule “Reassessment of Exposure to Radiofrequency Electromagnetic Fields Limits and Policies” published in the Federal Register on June 4, 2013, requesting the FCC (Federal Communications Commission) to reassess impact of EMF radiation on children citing 3 reasons:
  • 1) Protect children’s health and well-being. Children are not little adults and are disproportionately impacted by all environmental exposures, including cell phone radiation. Current FCC standards do not account for the unique vulnerability and use patterns specific to pregnant women and children. It is essential that any new standard for cell phones or other wireless devices be based on protecting the youngest and most vulnerable populations to ensure they are safeguarded throughout their lifetimes.
  • 2) Reflect current use patterns. The FCC has not assessed the standard for cell phone radiation since 1996. Approximately 44 million people had mobile phones when the standard was set; today, there are more than 300 million mobile phones in use in the United States. While the prevalence of wireless phones and other devices has skyrocketed, the behaviors around cell phone uses have changed as well. The number of mobile phone calls per day, the length of each call, and the amount of time people use mobile phones has increased, while cell phone and wireless technology has undergone substantial changes. Many children, adolescents and young adults, now use cell phones as their only phone line and they begin using wireless phones at much younger ages. Pregnant women may carry their phones for many hours per day in a pocket that keeps the phone close to their uterus. Children born today will experience a longer period of exposure to radio-frequency fields from cellular phone use than will adults, because they start using cellular phones at earlier ages and will have longer lifetime exposures. FCC regulations should reflect how people are using their phones today.
  • 3) Provide meaningful consumer disclosure. The FCC has noted that it does not provide consumers with sufficient information about the RF exposure profile of individual phones to allow consumers to make informed purchasing decisions. The current metric of RF exposure available to consumers, the Specific Absorption Rate, is not an accurate predictor of actual exposure. AAP is supportive of FCC developing standards that provide consumers with the information they need to make informed choices in selecting mobile phone purchases, and to help parents to better understand any potential risks for their children. To that end, we support the use of metrics that are specific to the exposure children will experience (AAP 2013).
  • It has been three years since the World Health Organization shocked the medical community by warning that exposure to microwave radiation from wireless devices might increase our cancer risk. If the same elite cancer specialists were to meet again today, the warning would be upgraded from a “possible carcinogen” to a “probable carcinogen.” (Clegg, 2014).
  • Recently released research from the Department of Biophysics, Faculty of Medicine in Cukurova University,  Turkey  indicates exposure to extremely low-frequency electromagnetic fields (ELF-EMF), known to be emitted from technology including computers, wireless internet, cell phones, and televisions, causes oxidative cell damage and cell death in rats (Emre M 2011).
  • Using a cell phone for > or = 10 years approximately doubles the risk of being diagnosed with a brain tumor on the same (“ipsilateral”) side of the head as that preferred for cell phone use. The data achieve statistical significance for glioma and acoustic neuroma but not for meningioma (Khurana V 2009).
  • Electromagnetic radiation can cause difficulty sleeping, dizziness, headaches, tingling in the hands, ringing in the ears, pain in the eyes, “unexplained” cardiac conditions, electro-sensitivity, low immunity, ADHD and Autism (Crofton K, 2011).
  • Findings provide new epidemiological evidence that high maternal magnetic field levels in pregnancy may increase the risk of asthma in offspring (Li et al., 2011).
  • Whole body exposure to pulse modulated RF radiation that is similar to that emitted by global systems for mobile communication (GSM) mobile phones, can cause pathological changes in the thyroid gland (Esmekaya et al., 2010).
  • When electrical properties are considered, a child’s head absorption for electromagnetic radiation can be over two times greater, and absorption of the skull’s bone marrow can be ten times greater than adults (Gandhi et al., 2011).
  • Time-varying electromagnetic waves have the potential to temporally modulate the nervous system, particularly when populations of neurons are required to act together. The most likely source of temporal noise in the environment is artificially generated electromagnetic radiation (University of Wales Swansea, 2006).
  • Research suggests a precautionary approach to the use of technologies. Dr. Fragopoulou researched the cognitive effects of the exposure to radiofrequencies in mice, and found reduced memory after only 2 hours per day for 4 days exposure to a cell phone (Frangopoulo, 2011).

 

Sleep Deprivation

  • 75% of U.S. children aged 9 and 10 years are sleep deprived to the extent that it significantly impacts on their grades (Boston College 2012).
  • For some people – especially children – sleep deprivation does not necessarily cause lethargy; instead they become hyperactive and unfocused. Researchers and reporters are increasingly seeing connections between dysfunctional sleep and what looks like A.D.H.D., but those links are taking a long time to be understood by parents and doctors (Thakkar, 2013).
  • Sleep deprivation is a significant hidden factor in lowering the achievement of school pupils, according to researchers carrying out international education tests (Coughlan, 2013).
  • 11 percent of teens develop depression by age 18. Teenagers who don’t get enough sleep are four times as likely to develop major depressive disorder as their peers who sleep more, according to researchers (Singh, 2014).
  • Passive and active TV watching results in irregular sleep patterns and sleep/wake transition disorders. Attention and learning are negatively impacted by sleep deprivation (Paavonen E 2006).
  • 30% of children consumed a daily caffeinated beverage, reducing total sleep by 15 minutes per night. 42% had a television in the bedroom reducing total sleep by 45 minutes per night(Calamaro et. al, 2011).

 

 

MENTAL DISORDERS

Human Detachment and Mental “Illness”

  • 39% of parents use over 11 hours of entertainment technology per day (Center on Media and Human Development 2013).
  • Children who watch more than the expert recommended 1-2 hours per day of technology, have a 60% increase in psychological disorders (Bristol University, 2010).
  • Nationwide survey reports problematic use of video games was associated with lower scores on life satisfaction and with elevated levels of anxiety and depression (Mentzoni R 2011).

 

  • 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, andtexting to obsessive compulsive disorder and ADHD (Naish, 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).
  • The perfect storm for the formation of a killer is mental illness combined with violent video games. A child addicted to anything is mentally ill, whether it is an addiction to drugs, alcohol, or video games (Doan, 2012)
  • The unique association between media multitasking and these measures of psychosocial dysfunction suggests that the growing trend of multitasking with media may represent a unique risk factor for mental health problems related to mood and anxiety (Becker et.al., 2013).
  • A new University of Michigan study on college aged adults finds that the more they used Facebook, the worse they felt (Hu, 2013).
  • The idea that DSM disorders are separate diseases with distinct pathophysiologies has now been disconfirmed by the DSM-5, the American Psychiatric Association, and the National Institutes of Mental Health. Commentary states there is no demonstrated physiological, genetic, or phenotypic specificity to the different DSM-5 disorders (Ross, 2013).
  • 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).
  • Using multiple forms of media at the same time – such as playing a computer game while watching TV – is linked to symptoms of anxiety and depression, scientists have found for the first time (MSU News, 2012).
  • Anxious attachment, depression, and anxiety could explain problematic alcohol use. In contrast, both anxious and avoidant attachment as well as depression and phobia explained problematic Internet use. Additionally, depression moderated the effects of avoidant attachment on problematic Internet use. We demonstrated that the interaction of attachment and psychopathology predicts problematic Internet use originating from an earlier stage of life than that associated with problematic alcohol use (Shin S 2011).
  • Mood disorders showed a statistically significant (p=0.044) correlation with a higher score on the IAT (Internet Addiction Test). Mental health care practitioners must consider questions on Internet use as an essential part of the patients’ evaluation given its significant correlation with diagnosis of a mood disorder (Liberatore K 2011).
  • People who report they are not happy watch over 30% more TV hours per day than people who report they are happy (Robinson J 2008).
  • Television exposure and total media exposure in adolescence are associated with increased odds of depressive symptoms in young adulthood, especially in young men (Primack B 2009).
  • In Canada 1 in 165 children have been diagnosed with Autism (Autism Society of Canada, 2010), and in the US 1 in 110 children have Autism (Autism Society, 2010).
  • Children born after shorter intervals between pregnancies are at increased risk of developing autism; the highest risk was associated with pregnancies spaced <1 year apart with a more than three times elevated odds of Autism (Cheslack-Postava K 2011).
  • 9% of US children age 8-15 years meet criteria for ADHD (Rapport M 2008).
  • Recent studies document a rise in psychological disorders in children reporting increasing incidence of ADHD, autism, bipolar disorder, depression and anxiety (Zito J 2001, The Well-being of Canada’s Young Children Report 2003, Mental Health: A Report of the Surgeon General, Overview of Mental Disorders in Children, Mental Health in the United States: Prevalence of Diagnosis and Medication Treatment for ADHD, Center for Disease Control and Prevention 2003).
  • 2007 mental illness statistics for children in Canada show that 14.3% of children have a diagnosed mental health disorder with anxiety disorders 6.4%, ADD or ADHD 4.8%, conduct disorders 4.2%, depressive disorders 3.5%, substance abuse 0.8%, autism spectrum disorders 0.3%, obsessive compulsive disorders 0.2%, eating disorders 0.1%, schizophrenia 0.1%, bipolar disorder <0.1% (Waddell C 2007).
  • Based on the ways in which the parent copes with the stresses of their own technology overuse, the parent consequently might raise their children in such a way as to result in either an avoidant, ambivalent, or disorganized attachment disorder. A study conducted in Beijing, China reports that adolescents with Internet Addiction Disorder consistently rated parental rearing behaviors as being over-intrusive, punitive, and lacking in responsiveness, indicating that the influences of parenting style and family function are important factors in the development of internet dependency (Xiuquin, 2010).
  • 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).
  • Recent changes from a ‘categorical’ to a ‘dimensional’ model in the upcoming Diagnostic and Statistical Manual, Fifth Edition to be released in May of 2013, has opened the flood gates for increasing diagnosis of children with mental disorders, reports Dr. Allen Frances, who was chair of the DSM-IV Task Force and of the department of psychiatry at Duke University School of Medicine in North Carolina (Psychiatric Times, 2009). Dr. Francis states that this paradigm shift is premature, as there is not even one biological test ready for inclusion in the criteria sets for DSM-V.
  • With increasing numbers of experts in the field of child psychiatry now questioning whether there even is a biological component in child mental illness (Breggin P, 2008), it seems pertinent to investigate environmental causes for the incremental rise in child mental and behavioral diagnoses.
  • 13% of respondents ages 8 to 15 years of age who participated in the National Health and Nutrition Examination Survey reportedly met criteria for at least one of the following mental health disorders in the past year: generalized anxiety disorder, panic disorder, eating disorders, depression, ADHD, and conduct disorder (National Institute of Mental Health, 2009).
  • There are no reliable, valid, or replicable studies showing genetic evidence for any psychiatric disorders, including ADHD, Autism, bipolar disorder, schizophrenia, depression or anxiety (Joseph J 2003, Baughman F 2009).
  • Yet – in a study of 491 physicians in Washington D.C., almost half of the diagnoses of ADHD in their patients had been suggested first by teachers (Sax L 2003).
  • Teachers have taken on the role of “disease spotters” and “sickness brokers” for ADHD, as pharmaceutical companies escalate their infiltration of the school system (Phillips C 2006).
  • The results from a study examining the impact of twitter use on relationship fidelity and divorcesuggest that active Twitter use leads to greater amounts of Twitter-related conflict among romantic partners, which in turn leads to infidelity, breakup, and divorce (Clayton, 2014).
  • According the new research on happiness “The sense of well-being derived from “a noble purpose” may provide cellular health benefits, whereas “simple self-gratification” may have negative effects, despite an overall perceived sense of happiness.” (University of Michigan, 2014).

 

 

Psychotropic Medication, Restraints, Seclusion Rooms

  • Child behavior diagnoses and subsequent use of psychotropic medication may be a result of technology overuse, resulting in the development of a novel “Unplug – Don’t Drug” policy initiative and routine technology screening (Rowan C 2010). Every behavior is an unsolved problem, unmet need or lagging skill.
  • Behaviors associated to technology overuse may be confusing for parents, teachers and physicians, and could be easily misunderstood, possibly resulting in psychiatric diagnosis and prescription of psychotropic medication (Ruff M 2005, Diller L 1999, Welch M 2006, Mukaddes N 2000).
  • There has been a significant rise in use of restraints and seclusion rooms reported by BC parents, as indicated by independent study by disability advocacy group (Vancouver Sun 2013).
  • Dr. David Stein reported at the International Center for the Study of Psychiatry and Psychology conference in October 2009 that 32% of children ages 0-18 years covered by Blue Cross insurance are currently on psychotropic medication (Stein D 2009).
  • Between 1991 and 1995, prescriptions for psychotropic medications in the 2 – 4 year old toddler population, as well as in children and youth tripled (Zito J 2000, 2003, Mandell D 2008).  80% of this medication was prescribed by family physicians and pediatricians (Goodwin R 2001).
  • 28-30% of children receiving psychotropic medication are on multiple medications, with minimal knowledge regarding drug interactions or long term toxicity (47).
  • Study performed by researchers from the Government of Western Australia, Department of Health, report reduced academic performance and increased risk of heart malfunction in children who receive ADHD medication. “We found that stimulant medication did not significantly improve a child’s level of depression, self perception or social functioning and they were more likely to be performing below their age level at school by a factor of 10.5 times.” Prof Landau said the study also suggested that a child’s heart function may be affected by long-term stimulant use and may remain affected even after stopping medication (Raine ADHD Study).
  • A comparative study of children diagnosed with ADHD who were on stimulant medication showed a 10% decrease in growth rate when contrasted with children diagnosed with ADHD who were not receiving stimulant medication (Swanson, Elliot, Greenhill, Wigal Arnold & Vitiello, 2007).
  • Prominent psychotic symptoms (i.e., hallucinations and/or delusions) determined to be caused by the effects of a psychoactive substance is the primary feature of a substance-induced psychotic disorder. A substance may induce psychotic symptoms during intoxication (while the individual is under the influence of the drug) or during withdrawal (after an individual stops using the drug) (Hahn, 2003).
  • The majority of mass shooters were either taking, or strongly suspected of taking, mind-altering psychiatric drugs. Between 2004 -2012 there have been 14,773 reports to the US FDA’s MedWatch system on psychiatric drugs causing violent side effects. Acts of violence towards others are associated with a relatively small group of drugs, antidepressants with serotonergic effects. Psychiatrists prescribe antipsychotic drugs to children in one third of all visits, which is three times higher than during the 1990′s and nearly 90 percent of those prescriptions written between 2005 and 2009 were prescribed for something other than what the Food and Drug Administration approved them for. A total of 8.2 million children under 18 are taking psychiatric drugs in the U.S. There are over 40 million Americans taking antidepressants – a 15% increase since 2002; of these, 2 million are children under 18. Since 2002, the number of Americans on ADHD drugs has gone up by 94% with over 10 million currently taking them. According to the CDC, 11 percent of school-age children have been diagnosed with ADHD and there are now 4.7 million children under 18 in the U.S. taking ADHD drugs, per IMS Health. The total number of Americans on antipsychotics has increased by 40% since 2002 (O’Meara, 2013).
  • A Star investigation found that nearly 600 cases of Canadian kids have suffered serious, sometimes fatal side effects suspected to have been caused by ADHD medications in the past 10 years (Bruser, 2012).
  • Antipsychotics have a subtle but measurable influence on brain tissue loss over time, suggesting the importance of careful risk-benefit review of dosage and duration of treatment as well as their off-label use in children (Ho B 2011).
  • Limited high quality evidence guiding appropriate dosing and inexperience in documentation of long term effects of these prescriptions in children may mean that these children undergo unquantified risks (dosReis S 2005, Rosack J 2003, Kirsch I 2004, Thomas C 2006).
  • Dr. Peter Breggin reported at the International Center for the Study of Psychiatry and Psychology conference in October 2009 that ADHD medication causes permanent neurotransmitter changes due to receptor down regulation, resulting in depletion of the transmitter the drug was originally designed to increase.  New psychotropic medication molecular structure has added fluoride and chloride ions to improve long acting ability, which are proven to be toxic with long term (> 4 months) administration to cell mitochondria causing eventual cell death.  ADHD medication results in growth retardation and 20% brain shrinkage, appetite loss, 50% depression, 50% Obsessive Compulsive Disorder, Tardive Dyskinesthesia, and alcohol and cocaine abuse.Psychotropic medication decreases spontaneity and increases obsessive compulsive disorder, two traits which are ALWAYS interpreted as “improvement” by the educational system (Breggin P 2008).
  • Research regarding stimulant medication with children is rife with conflict. Studies have low validity and reliability ratings, and findings can rarely be replicated. Clinical trials are generally small in sample size (30-40 children), and on children older than FDA approved regulations, resulting in prevalent “off label” prescribing. Clinical trials are rarely conducted for longer than 4-8 week periods, which is insufficient to document any toxicological side effects, and authors state “Neither the long-term effectiveness nor the long-term safety of stimulant medications has ever been demonstrated”. (Jensen P 2002)
  • Three year follow-up of treated ADHD subjects showed increases in heart rate, and/or systolic and diastolic blood pressure in 20% of children taking stimulants for ADHD (Winterstein A 2009).
  • Health Canada warns that Atomoxetine (Strattera), a drug commonly used to treat ADHD disorder in children, has been linked to 189 reported adverse reactions as of December 31, 2007, including 55 suicide attempts of which 43 were among children between the ages of 6 and 17 (CBC News 2008).
  • Two world-renowned Harvard child psychiatrists Dr. Joseph Biederman and Dr. Thomas Spencer, whose work has helped fuel an explosion in the use of powerful antipsychotic medicines in children, found in a 2006 study increased prevalence of adult ADHD and call for increased detection and treatment (Kessler R 2006). Senator Charles E. Grassley implicated these same researchers in payments of $1.6 million of unreported income from pharmaceutical corporations over a 6 year period (New York Times 2008).
  • Although “off label” marketing of psychotropic medication and suppression of negative results of drug trials are illegal, they are widely accepted practices by pharmaceutical companies (Bass A 2008). Researcher concerns regarding the correlation between stimulant use and cardiovascular risk in children, (Vitiello, B. & Towbin, K. 2009), indicates immediate attention be directed to nonpharmalogical behavior interventions for the treatment of child behavior and learning disorders.
  • School management difficulties with increasing numbers of aggressive children, is resulting in the rising use of physical and chemical restraints (Irwin M 2009), as well as the rising use of seclusion rooms (Vancouver Sun 2010).
  • When there is no evidence that locking children in “safe rooms” improves behavior in the long term, and may actually be harmful to children (PENT Forum 2008), why are schools increasing their use? 
  • Two children (out of sample of 43) on fluvoxamine, a serotonin reuptake inhibitor,  showed drug-induced apathy; neither had depressive illness (Reinblatt et al., 2006).
  • A preliminary but provocative new study finds women who take antidepressants during pregnancy have a moderately higher risk of having a child with autism, according to a paper published in the Archives of General Psychiatry (Wane, 2011).
  • Antipsychotics are now the top-selling class of medications in the United States, with prescription sales of $14.6 billion in 2009. Many clinicians worry these agents are being overprescribed and used inappropriately (Culpepper, 2011).
  • 500 pediatric occupational therapists, physical therapists and speech-language pathologists reports that more than two-thirds had seen children with deficits processing and integrating sensory information who had been misidentified as having Attention Deficit Disorder or Attention-Deficit Hyperactivity Disorder. This finding is significant as the treatment for ADD or ADHD is medication while the treatment for sensory processing deficits is therapy (Pathways awareness, 2011).
  • It was established years ago that Paxil carries a risk of suicide in children, but GlaxoSmithKline has been conducting a study of the antidepressant in children as young as seven – in Japan (Edwards, CBS News 2010).
  • Study shows stimulant-related decreases in growth rates after initiation of stimulant medication (Swanson et al., 2007).
  • In the United States, the number of adults on government disability due to mental illness rose from 1.25 million in 1987 to 3.97 million in 2007. On a per-capita basis, the disability rate rose from 1 in every 184 Americans in 1987 to 1 in every 76 Americans over that 20-year period. (Total population divided by number of working-age adults on disability.) At the same time,societal spending on psychiatric drugs soared, from less than $1 billion in 1987 to more than $40 billion annually today (Whitaker, 2011).

 

Touch Deprivation

  • Adequate tactile stimulation is integral to optimizing infant and child development, and tactile deprivation can cause abnormal development of the tactile system. Dr. Ann Bigelow, pediatric researcher at St. Francis Xavier University, Nova Scotia found that skin-to-skin tactile stimulation between mother and infant was shown to reduce gurgitation, improve sleep, and improve overall growth, as well as enhance infants’ sensitivity to their mother which accelerates knowledge about, and expectations for, her behavior (Bigelow, 2006).
  • The use of safety restraint devices such as infant bucket seats and toddler carrying packs and strollers, have further limited movement, touch and human connection, as have TV, internet, and video games (Rowan C 2010).
  • 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’sperceptual-cognitive and motor development and on the parentingprocess, and speculated that kangaroo care has both a direct impact on infantdevelopment by contributing to neurophysiological organizationand an indirect effect by improving parental mood, perceptions,and interactive behavior (Feldman, R 2002).
  • Sixty nine percent of the boys with ADHD were categorized as tactile defensive (Parush 2007).
  • Following touch therapy, children with Autism showed decreased touch aversion, off task behavior, orientation to irrelevant sounds, and stereotypic behaviors compared to a control group of children with Autism who sat on researcher’s lap and were read a book. The touch therapy group also improved more than the control group in stereotypic behaviors and orientation to irrelevant sounds. The authors suggest the effectiveness of touch therapy might be related to changes in vagal tone and/or EEG patterns (Field T 1997).
  • 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).
  • Differences in response to tactile stimuli are prevalent in ASD, and tactile contact early in infancy is a foundation for the development of social and communication skills affected by ASD. While tactile hypo-responsiveness correlates strongly with increased social and communication impairments, and to a lesser degree, repetitive behaviors, researchers found that tactile hyper-responsiveness did not significantly correlate with any core features of ASD. (Foss-Feig et. al, 2012).

 

Pornography and Risky Behaviour

  • Researchers report 42% of children ages 10-17 actively use pornography, with average age of first exposure 6 years (Wolack et al., 2007).
  • In an study examining the prevalence and patterns of sexting among ethnic minority high schools students, 20% of students reported sending a nude or semi-nude picture or video or a sexual text message-any one of these considered a “sext”-and more than 30% reported receiving a sext (Peskin et.al., 2012).
  • 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’s online participation was associated with increased exposure to online risks. The association was moderated by Internet skills and parental restrictive mediation ( Sook and Chae, 2012).
  • Teens viewing pictures on social networking sites of teens getting drunk, passing out, or using drugs are twice as likely to say they are very or somewhat likely in the future to use drugs,compared to teens who had not viewed such pictures (National Center on Addiction and Substance Abuse at Columbia University, 2011).
  • Children who use pornography are significantly more likely to report delinquent behaviour 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).
  • Approximately 10,000 Canadian youth reported their screen time, or time spent with a television, computer, or video game, as well as their participation in risky behaviors such as smoking, drug use, and non-use of condoms.  Youth who reported the highest amount of screen time, especially computer time, were significantly more likely to engage in risky behaviors.  These results suggest that that media use may contribute to youths’ decisions to engage in risky behaviours (Carson et. al, 2011).
  • Video game playing during adolescence succeeded in predicting later risky driving behaviourthrough adolescents’ attitudes and intentions to exhibit this behaviour in the future (Buellens et al., 2010).
  • 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).

 

 

SOCIAL DISORDERS

Communication

  • 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).
  • The ability of the 21st century child to socialize with both adults and peers is deteriorating at a rapid pace. Sally Ward, a professor of speech and language pathology reported in her book “Baby Talk“, that one in five toddlers demonstrate speech and language delays (Ward S 2004).
  • Canadian parents spend an average 3.5 minutes per week participating in meaningful conversation with their children (Turcotte M 2006).
  • 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).
  • 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).
  • Social self-efficacy in the real world (offline) is negatively related with the degree of game addiction, whereas social self-efficacy in the virtual world (online) indicated a positive association. Social activities with parents are negatively associated with game addiction, although no relationship is found between gaming activities with parents and game addiction (Jeong E 2011).
  • Parents reported greater communication and closeness when adolescents initiated calls seeking social support. Adolescents reported greater conflict when parents called for monitoring activity, for tracking schoolwork, and when upset. Calls to ask and confer by adolescents and to track school work positively related, but parental calls when upset negatively related to parental self-esteem. Adolescent self-esteem is predicted by calls seeking support and negatively associated with parents calling when upset (Weisskirch R 2011).
  • Participants of a study comparing communication patterns and satisfaction levels in  three dimensional versus real life; intimate relationships, indicated that the quality of their communication was significantly better in their Second-Life relationships and that they experienced higher levels of satisfaction with their virtual partners (Gilbert et al., 2011).
  • Data indicates that excessive internet users have deficits in the early stage of face-perception processing but may have intact holistic/configural processing of faces. Whether some deeper processes of face perception, such as face memory and face identification, are affected in EIUs needs to be investigated further with more specific procedures (He et al., 2011).
  • 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).
  • Researcher 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).
  • 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 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).
  • The Protecting Canadian Families Online survey revealed that nearly 90 per cent of parentssurveyed in the Primus Telecommunications Canada research thought their kids would tell them if they were cyberbullied, yet only eight per cent of youth do so (O’Connor, 2014).
  • 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).

 

Aggression and Declining Empathy

  • A meta-analysis examined 380 studies that involved over 130,000 participants showing media violence causes aggression (Markman, 2010).
  • A study on prosocial, neutral and violent video game usage in college students indicated thatprosocial 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 behaviour 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).
  • According to a cross culture study on the effects of violent video games on aggression in Japan and the U.S, the longitudinal results confirm earlier experimental and cross-sectional studies that have suggested that playing violent video games is a significant risk factor for later physically aggressive behavior and that this violent video game effect on youth generalizes across very different cultures. As a whole, the research strongly suggests reducing the exposure of youth to this risk factor (Anderson et.al., 2008).
  • 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)
  • Study 1 surveyed rant-site visitors to better understand the perceived value of the Web sites and found that while they become relaxed immediately after posting, they also experience more anger than most and express their anger in maladaptive ways. Study 2 explored the emotional impact of reading and writing rants and found that for most participants, reading and writing rants were associated with negative shifts in mood (Martin et.al., 2013).
  • Exposure to violent online games was associated with being a perpetrator as well as a perpetrator-and-victim of cyberbullying (Lam et.al., 2013).
  • Results from a between-subjects experiment showed that a realistic controller and a large screen display induced greater aggression, presence, and arousal than a conventional mouse and a small screen display, respectively, and confirmed that trait aggression was a significant predictor of gamers’ state aggression (Kim and Sundar, 2013).
  • 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).
  • Review of 50 years of research on the impact of violence in TV, movies, video games and internet concludes that watching media violence significantly increases the risk that a viewer or videogame player will behave aggressively in both the short and the long term. 60% of TV programs contain violence and 40% contain heavy violence.  Most videogames contain violence. Video game ratings are a poor indicator of content and constitute conflict of interest, as the rating process is performed by the video game industry.  Authors state the impact of violent electronic media on public health is second only to the impact of cigarette smoking on lung cancer (Huesmann L 2007).
  • Results of a study examining social outcomes associated with media viewing habits of low income preschool children, suggest that viewing of inappropriate content was associated with higher hyperactivity and aggression scores and a lower social skills rating, whereas the amount of viewing was not related to these classroom outcomes (Conners-Burrow et. al, 2011).
  • 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).
  • 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).
  • Since Newtown CT shooting, there have been an additional 44 school shootings killing 28 children (Moms Demand Action for Gun Sense in America 2014).
  • There has been an average of one school shooting every other day so far this year (Think Progress January 23, 2014).
  • Psychotropic medications linked to 90% of school shootings (WND Education 2012).
  • Recent incidents of growing child aggression against other children and school staff members have been reported in the press to have doubled in the Vancouver School District in the past three years (Vancouver Sun, 2010).
  • Results by gender showed boys played more often and longer than did girls and type of game:boys mostly played sports and racing games, and preferred shooter games and games with graphic violence, whereas girls tended to play games that are characteristically socio-affective and educational (Choliz & Marco, 2011)..
  • School management difficulties with increasing numbers of aggressive children, is resulting in the rising use of physical and chemical restraints (Gaskin, 2007; Muralidharan & Fenton, 2009), as well as a rising use of seclusion rooms (Vancouver Sun 2010; Muralidharan & Fenton, 2009).
  • A 2010 University of Michigan study shows today’s college students are 40-per-cent less empathetic than those of the 1980s and 1990s determined by an analysis of the past 30 years of students who participated in the Davis Interpersonal Reactivity Index which looked at empathic concern, emotional response to the distress of others, and “perspective-taking” or the ability to imagine another person’s perspective. This study cites the influx of callous reality television shows and the growth of social networking and texting as causal factors for the decline in empathy in today’s young people (Globe and Mail, 2010).
  • Self-efficacy and empathy are two salient determinants for eventual success (Forbes 2013).
  • 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).
  • 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).
  • Youth who reported being harasses online were 8 times more likely to carry a weapon to school in the past 30 days (Ybarra M 2007).
  • While online cyberbullying occurs off campus, resulting altercations happen on site (Willard N 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).
  • Research results revealed a positive association between exposure to profanity in multiple forms of media and beliefs about profanity, profanity use, and engagement in physical and relational aggression (Coyne et al., 2011).
  • Research shows that violent video games increase aggressive behaviour and decrease prosocial behaviour, but could relaxing video games have the opposite effects? Compared to those who played violent or neutral video games, those who played relaxing video games were less aggressive and more helpful (Whitaker and Bushman, 2011).
  • 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).
  • 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).

 

ACADEMIC PERFORMANCE

Attention Deficit

  • Study indicates that the more time students spend on consuming media and the more violent its contents are, the worse are their marks at school, even when controlling for vital factors such as family, educational, or immigrant background (Mossle et al., 2010)
  • 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).
  • Research on four year old children showed significant reduction in executive function after 9 minutes of Spongebob cartoon. Long term implications for attention and learning ability are discussed (Christakis, 2011).
  • Each hour of TV watched daily between the ages of 0 and 7 years equated to a 10% chance of attention problems by age seven years (Christakis D 2004).
  • Viewing TV and playing video games each are associated with increased subsequent attention problems in childhood (Swing, 2010).
  • Every additional hour of TV exposure at 29 mo. Corresponded to 6% unit decrease in classroom engagement, 7% unit decrease in math achievement, 10% unit increase in victimization by classmates, 13% decrease in time spent doing physical activity, and 10% higher consumption of soft drinks and snacks (Pagani L 2010).
  • The more time students spend on consuming media and the more violent its contents are, the worse are their marks at school, even when controlling for vital factors such as family, educational, or immigrant background (Mossle T 2010).
  • 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).
  • People switched between media at an extreme rate, averaging more than 4 switches per min and 120 switches over the 27.5-minute study exposure. Participants had little insight into their switching activity and recalled their switching behavior at an average of only 12 percent of their actual switching rate revealed in the objective data. Younger individuals switched more often than older individuals (Brasel and Gips, 2011).
  • A Harris poll surveyed a randomly selected sample of 1,178 American youth ages 8 to 18. About 8% of video-game players in this sample exhibited pathological patterns of play. Pathological gamers spent twice as much time playing as nonpathological gamers and received poorer grades in school; pathological gaming also showed comorbidity with attention problems. Pathological status significantly predicted poorer school performance even after controlling for sex, age, and weekly amount of video-game play (Gentile, 2009).
  • Just a three-second distraction, such as glancing at your phone, can divert your attention and double the number of mistakes you make (Ghose, 2013).
  • 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).
  • The following motion was put forward by Jim Dobbin in the UK Parliament on January 15, 2014. “That this House notes the 10 fold increase over 10 years of labelling children with diagnoses of Attention Deficit Hyperactivity Disorder (ADHD); further notes the pharmaceutical drugs prescribed for this condition are similar to cocaine, have numerous side effects including suicide, depression and anxiety and costs the health service tens of millions of pounds; affirms that there is no objective test to demonstrate the existence of this condition and that the United Nations Committee on the Rights of the Child has expressed deep concern about children being misdiagnosed with ADHD; strenuously opposes the unnecessary drugging of children; calls for rigorous control of the prescribing of psychoactive drugs to children; and further calls for NHS money currently spent on pharmaceutical drugs to be diverted into research into the dietary and environmental causes of the symptoms currently labelled as ADHD” (Dobbin, 2014).

 

Failure to Print – The Foundation for Illiteracy

  • Canada dropped out of the top ten rankings to 13th, and the U.S. 27th, on the 2012 PISA world scores for math, reading and science (CBC 2013)
  • In 1994 and 2003, comparative literacy studies of Canada, Germany, the Netherlands, Poland, Sweden, Switzerland and the United States were completed covering four literacy domains –prose (reading and  understanding text information e.g. stories, editorials), document (locating text information e.g. maps, schedules), and numeracy (understanding math embedded in text e.g. weather and loan interest charts) and problem solving.  Participants were ranked on five levels, with level one being the lowest.  15% of Canadians scored in level one, and only 50% reached level three.  Canadians scored in the middle of the pack, and results were the same for 1994 and 2003 (Sloat E 2000).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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.

 

“Education” Technology – The Learning Paradox

  • “The Learning Paradox” is applicable for children and youth who overuse technology (over AAP and CSP recommended guidelines), e.g. the more schools invest in technology, the less likely children are to pay attention and learn (Rowan C, 2010).
  • 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 is 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 inhibitionand increased sensitivity to rewards and insensitivity to loss (Dong & Devito 2013), as well asabnormal spontaneous brain activity associated with poor task performance in youth who have internet addiction (Yuan 2011).
  • Internet Addiction Disorder demonstrated widespread reductions of fractional anisotrophy inmajor white matter pathways and such abnormal white matter structure may be linked to somebehavioral impairments (Lin et al, 2012).
  • Brain scans on 12 adolescents diagnosed with internet addiction and 11 healthy controls foundreduced functional connectivity in the cortical and subcortical brain regions of the internet-addicted teens (Abusson, 2013).
  • Compared with healthy subjects, Online Gaming Addicts (OGA) individuals showed significantgray 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).
  • Brain changes to both grey (processing) and white (connection) matter was detected on numerous studies collated in this article (Dunckley 2014).
  • 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 thatmultitasking 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).
  • Canada dropped out of the top ten to 13th and the U.S. ranks 27th on the international PISA which tests reading, math, and science performance in 15 year olds (CBC News, 2013).
  • In 2011, 42.3% of Canadian young adults aged 20 to 29 years lived with their parent(s). This is a significant increase from 30 years ago (Employment and Social Development Canada 2011). In 2010 the U.S., 53% of young adults aged 18-24 years lived with their parent(s) (Columbia University Mailman School of Public Health 2010).
  • Comparative study of digital (screen) reading vs. print reading reports the following problems with screen reading:
    • Attention:  clicking and scrolling disrupt attention and disturb mental appreciation
    • Comprehension:  reader lacks both completeness and constituent parts
    • Memory:  change in physical surroundings has a negative effect on memory
    • Learning:  doesn’t allow required time and mental exertion
    • Meaning:  isn’t a physical dimension, loss of totality
  • Mangen Quote: “The digital hypertext technology and its use of multimedia are not open      to the experience of a fictional universe where the experience consists of creating you           own mental images.  The reader gets distracted by the opportunities for doing something      else” (Mangen A 2008).
  • Brain scans show that more of the areas of the brain associated with memory formation are activated when writing than when typing (Darling, 2014).
  • Refuse to Use is a world-wide movement by responsible and futuristic thinking parents and teachers to ban all school-based technology for children under 12 years of age, and bring back tried and true methods of teaching (Rowan, 2014).

 

IMPLICATIONS AND SOLUTIONS

Costs of Child Technology Overuse to the Canadian Health and Education Sectors

  • Total annual costs to the Canadian health and education sectors to address problems that strongly correlate with child technology addictions are $35.5 billion.
  • Extrapolation from previously cited research indicates estimated annual costs to the Canadian health care system to support children with developmental disabilities, psychiatric and behavioral disorders are $9.3 billion, obesity are $3 billion and medication costs are $0.3 billion, totaling $12.5 billion.
  • Estimated annual costs to the Canadian education system for failing literacy are $10 billion, and educational support of children with developmental disabilities are $13 billion, totaling $23 billion.
  • Treating child technology addictions will collapse both education and health budgets.

 

Technology Screening and Management

  • In 2001 the American Academy of Pediatrics issued a policy statement recommending thatchildren less than two years of age should not watch or be exposed to any TV or video games(Children, adolescents and television. Committee on Public Education, AAP 2001), and further recommended that children older than two should restrict usage to one hour per day if they have any physical, mental, social, or academic problems, and two hours per day maximum if they don’t (Children, adolescents and advertising. Committee on Communications, AAP 2006).
  • Further evidence suggests some parents may have technology addictions (Horvath C 2004), and Adult Internet Addiction has been proposed for inclusion in the Diagnostic and Statistical Manual 5th Edition (Block J 2008).
  • Mounting research evidence suggests that childhood is the optimal time to influence determinants of social and emotional wellbeing (Willms J 2002), with recent research demonstrating that prevention programs in childhood can reduce the prevalence of mental disorders, while also addressing causal factors. For example targeted parent training within disadvantaged families can significantly reduce subsequent prevalence of behavior disorders in children, while also improving educational and social outcomes (Waddell C 2007).
  • These facts support implementation of school based technology management programs, teaching children how to balance activities they need to grow and succeed, with technology use. A randomized controlled trial of a 6-month classroom curriculum to reduce TV and video game use resulted in not only statistically significant reduction in technology use, but also showed relative decreases in obesity (Robinson R 1999).
  • With researchers advocating for increased services for children to address increasing prevalence of child mental health disorders (McEwan K 2007), and solid evidence that many of these disorders may be related to technology overuse, it seems warranted that the health and education sectors participate in routine technology screening and management programs(Rowan C 2010).
  • Balanced Technology Management is a concept where adults manage balance between activities children need to optimize growth and success, with technology use (Rowan C 2010 and http://www.zonein.ca).
  • Health and education professionals may want to consider an Unplug – Don’t Drug policy where prior to costly diagnosis and medication of child behavior, the child and family undergo a three month supported technology unplug trial. Alternatively, the medical profession may consider routine technology usage histories for all their clients (Rowan C 2010).
  • Pediatricians are encouraged to take a media history and ask 2 media questions at every well-child visit, and reiterate 2004 AAP policy of no technology exposure for children 0-2 years of age, and 1-2 hours of total technology per day ages 2-18 years ( American Academy of Pediatrics- Policy Statement, 2013).
  • Results found that Cognitive Behaviour Therapy-IA was effective at ameliorating symptoms associated with Internet addiction after twelve weekly sessions and consistently over one-month, three months, and six months after therapy (Young, 2013).
  • It has been found that cyberbullying relates to internalizing, externalizing and substance abuse problems in adolescents. Although correlational, results of a current study suggest that family dinners (i.e, family contact and communication) are beneficial to adolescent mental health andmay help protect adolescents from the harmful consequences of cyberbullying (Elgar et al., 2014).
  • A study has found that after five days interacting face-to-face without the use of any screen-based media, preteens’ recognition of nonverbal emotion cues improved significantly. These findings indicate that less screen time and more social interaction improves preteen’sunderstanding of nonverbal emotional cues (Uhls et.al., 2014).

 

Playgrounds and Nature – Epicenters for Development, Learning and Behavior

  • Many of today’s parents perceive outdoor play is ‘unsafe’, even though most crimes against children are instigated by family members (Burdette H 2005), limiting essential developmental components usually attained in outdoor rough and tumble play.
  • 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).
  • Participation in physical activity is positively related to academic performance in children (Singh et al., 2012).
  • Teachers say daily time outside is changing the way young students, including those with special needs, learn and behave. Muscle tone, balance and strength, which are often low in children with autism, improved as a result of physical activity. And they were calmer, more affectionate and less prone to outbursts (Gordon, 2014).
  • 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’s vigorous exercise that improves cognition e.g. climbing walls, exercise bikes, tread mills, dancing (Ratey J 2008).
  • Students with greater than 15 minutes per day of recess had teacher reports of better classroom behavior.  30% of 3rd graders had little or no recess (< 15 minutes per day) and 40% of schools surveyed had cut back at least one daily recess period. Since the 1970’s, children have lost 12 hours per week in free time (Barros R 2009).
  • Licensing and fear of litigation has dramatically changed playgrounds to boring and developmentally unchallenging structures. Merry-go-rounds, tall swings and slides are all a thing of the past. Many daycare and preschool environments have eliminated swings altogether (Rowan C 2010).
  • Injury accounts for 40% of all childhood death, but – environmental modifications reduce 50-75% of injuries and therefore playgrounds can be designed to be safe (Howard A 2010).
  • Canadian Standards Association (www.csa.ca) sets rules for playgrounds and if followed, halves the injury rate. Safe Kids Canada (www.safekidscanada.ca) has a number of resources and information (Howard A 2005).
  • U.S. Consumer Product Safety Commission has published detailed guidelines for playground safety, which specifically address requirements for raised play platforms and protective playground surfaces. CPSC has produced a handbook for public playgrounds and a playground safety checklist (U.S. Consumer Product Safety Commission).
  • Risk factors for severe playground injuries are associated with falls from playground equipment.Majority of playground injuries are sustained when falling from heights greater than 1.5 meters onto inadequate falling surface (MacArthur C 2000).
  • Installing Fitness Zones appears to be cost-effective (10.5 cents/MET increase) and most successful in parks in densely populated areas with limited facilities (Cohen et.al., 2012).

 

Biography

A frequent guest on both radio and television, Cris Rowan is a well known and impassioned speaker on the topic of the impact of technology on child development and learning. Cris has provided over 200 workshops to health and education professionals throughout North America, and authors the monthly Zone’in Child Development Series newsletter. Cris is CEO of Zone’in Programs Inc. offering products, workshops, training and consultation services to reverse the effects of technology on children. Cris is author of the following policy initiatives: Unplug – Don’t Drug, Creating Sustainable Futures Program, and Linking Corporations to Communities. Cris recently completed her first book Virtual Child – The terrifying truth about what technology is doing to children. Cris promotes the concept “Balanced Technology Management” where adults manage balance between activities children need to grow and succeed with technology use.

 

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