Effect of visual media use on school performance: a prospective study

Data-driven, generalizable prediction of adolescent sleep disturbances in the multisite Adolescent Brain Cognitive Development Study

STUDY OBJECTIVES

Sleep disturbances are common in adolescence and associated with a host of negative outcomes. Here, we assess associations between multifaceted sleep disturbances and a broad set of psychological, cognitive, and demographic variables using a data-driven approach, canonical correlation analysis (CCA).

METHODS

Baseline data from 9093 participants from the Adolescent Brain Cognitive Development (ABCD) Study were examined using CCA, a multivariate statistical approach that identifies many-to-many associations between two sets of variables by finding combinations for each set of variables that maximize their correlation. We combined CCA with leave-one-site-out cross-validation across ABCD sites to examine the robustness of results and generalizability to new participants. The statistical significance of canonical correlations was determined by non-parametric permutation tests that accounted for twin, family, and site structure. To assess the stability of the associations identified at baseline, CCA was repeated using 2-year follow-up data from 4247 ABCD Study participants.

RESULTS

Two significant sets of associations were identified: (1) difficulty initiating and maintaining sleep and excessive daytime somnolence were strongly linked to nearly all domains of psychopathology (r2 = 0.36, p < .0001); (2) sleep breathing disorders were linked to BMI and African American/black race (r2 = 0.08, p < .0001). These associations generalized to unseen participants at all 22 ABCD sites and were replicated using 2-year follow-up data.

CONCLUSIONS

These findings underscore interwoven links between sleep disturbances in early adolescence and psychological, social, and demographic factors.

Childhood internalizing, externalizing and attention symptoms predict changes in social and nonsocial screen time

BACKGROUND

While accumulating research has tested the hypothesis that screen time causes psychiatric symptoms in children, less attention has been paid to the hypothesis that children with psychiatric symptoms change their patterns of screen time and digital media use. We aimed to test whether children with psychiatric symptoms subsequently change their patterns of screen time and digital media use.

METHODS

N = 9,066 children primarily aged 9-10 in the Adolescent Brain Cognitive Development Study at baseline and 1-year later. Psychiatric symptoms included internalizing, attention, and externalizing symptoms. Screen time was measured as ordinally defined weekday and weekend time on social and nonsocial [e.g., YouTube] digital media). Models assessed psychiatric symptoms as predictors of screen time, and screen time as predictors of psychiatric symptoms, controlled for baseline measures of each, sex, age, race/ethnicity, and income.

RESULTS

Children with psychiatric symptoms spent more time on non-social media one year later compared with peers. Considering total psychiatric problems, clinical levels of problems predicted higher levels of weekday (OR = 1.22, 95% CI 1.22-1.23) and weekend (OR = 1.10, 95% CI 1.09-1.11) nonsocial screen time. For nearly all analyses of psychiatric symptoms predicting screen time, associations were highest for a non-social screen time outcome rather than a social screen time outcome (Highest OR = 1.65, 95% CI 1.63-1.67, clinical rule breaking predicting weekday nonsocial screen time). Comparable magnitude associations were observed for social and nonsocial media use predicting future psychiatric symptoms, suggesting bidirectionality.

CONCLUSION

Children with psychiatric symptoms have different subsequent media use patterns, including higher rates of subsequent nonsocial engagement. Ensuring that ongoing data collection and analysis efforts attend to temporality and transitions in the relation between media use and psychiatric symptoms will accelerate progress in the field.

Longitudinal associations of screen time, physical activity, and sleep duration with body mass index in U.S. youth

BACKGROUND

Youth use different forms of screen time (e.g., streaming, gaming) that may be related to body mass index (BMI). Screen time is non-independent from other behaviors, including physical activity and sleep duration. Statistical approaches such as isotemporal substitution or compositional data analysis (CoDA) can model associations between these non-independent behaviors and health outcomes. Few studies have examined different types of screen time, physical activity, and sleep duration simultaneously in relation to BMI.

METHODS

Data were baseline (2017-2018) and one-year follow-up (2018-2019) from the Adolescent Brain Cognitive Development Study, a multi-site study of a nationally representative sample of U.S. youth (N = 10,544, mean [SE] baseline age = 9.9 [0.03] years, 48.9% female, 45.4% non-White). Participants reported daily minutes of screen time (streaming, gaming, socializing), physical activity, and sleep. Sex-stratified models estimated the association between baseline behaviors and follow-up BMI z-score, controlling for demographic characteristics, internalizing symptoms, and BMI z-score at baseline.

RESULTS

In females, isotemporal substitution models estimated that replacing 30 min of socializing (β [95% CI] = -0.03 [-0.05, -0.002]), streaming (-0.03 [-0.05, -0.01]), or gaming (-0.03 [-0.06, -0.01]) with 30 min of physical activity was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing (-0.03 [-0.05, -0.01]), streaming (-0.02 [-0.03, -0.01]), or gaming (-0.02 [-0.03, -0.01]) with 30 min of sleep was associated with a lower follow-up BMI z-score. In males, replacing 30 min of socializing with 30 min of gaming was associated with a lower follow-up BMI z-score (-0.01 [-0.03, -0.0001]). CoDA estimated that in males, a greater proportion of time spent in baseline socializing, relative to the remaining behaviors, was associated with a higher follow-up BMI z-score (0.05 [0.02, 0.08]). In females, no associations between screen time and BMI were observed using CoDA.

CONCLUSIONS

One-year longitudinal associations between screen time and BMI may depend on form of screen time, what behavior it replaces (physical activity or sleep), and participant sex. The alternative statistical approaches yielded somewhat different results. Experimental manipulation of screen time and investigation of biopsychosocial mechanisms underlying the observed sex differences will allow for causal inference and can inform interventions.

From greenwashing to screenwashing?

In this viewpoint, we introduce the term 'screenwashing', which describes the phenomenon whereby social media platforms, such as TikTok and Instagram, pretend to be more socially responsible than they actually are. That is, social media platforms pretend to be thoughtful about children's health and the prevention of problematic social media use, but this often turns out to be nothing more than "a lick of paint". We describe how features like the one-hour notification on TikTok and Instagram are considered screenwashing and why we believe so. Screenwashing, an unethical practice, has the potential to mislead parents and young users. Consequently, we advocate for increased government intervention to protect our youth from the potential hazards associated with problematic social media use.

Generalizable prediction of childhood ADHD symptoms from neurocognitive testing and youth characteristics

Childhood attention-deficit/hyperactivity disorder (ADHD) symptoms are believed to result from disrupted neurocognitive development. However, evidence for the clinical and predictive value of neurocognitive assessments in this context has been mixed, and there have been no large-scale efforts to quantify their potential for use in generalizable models that predict individuals' ADHD symptoms in new data. Using data drawn from the Adolescent Brain Cognitive Development Study (ABCD), a consortium that recruited a diverse sample of over 10,000 youth (ages 9-10 at baseline) across 21 U.S. sites, we develop and test cross-validated machine learning models for predicting youths' ADHD symptoms using neurocognitive abilities, demographics, and child and family characteristics. Models used baseline demographic and biometric measures, geocoded neighborhood data, youth reports of child and family characteristics, and neurocognitive tests to predict parent- and teacher-reported ADHD symptoms at the 1-year and 2-year follow-up time points. Predictive models explained 15-20% of the variance in 1-year ADHD symptoms for ABCD Study sites that were left out of the model-fitting process and 12-13% of the variance in 2-year ADHD symptoms. Models displayed high generalizability across study sites and trivial loss of predictive power when transferred from training data to left-out data. Features from multiple domains contributed meaningfully to prediction, including neurocognition, sex, self-reported impulsivity, parental monitoring, and screen time. This work quantifies the information value of neurocognitive abilities and other child characteristics for predicting ADHD symptoms and provides a foundational method for predicting individual youths' symptoms in new data across contexts.

Negative impact of daily screen use on inhibitory control network in preadolescence: A two-year follow-up study

The COVID-19 pandemic has made an unprecedented shift in children's daily lives. Children are increasingly spending time with screens to learn and connect with others. As the online environment rapidly substitutes in-person experience, understanding children's neuropsychological trajectories associated with screen experiences is important. Previous findings suggest that excessive screen use can lead children to prefer more immediate rewards over delayed outcomes. We hypothesized that increased screen time delays a child's development of inhibitory control system in the brain (i.e., fronto-striatal circuitry). By analyzing neuropsychological data from 8324 children (9-11ys) from the ABCD Study, we found that children who had more screen time showed a higher reward orientation and weaker fronto-striatal connectivity. Importantly, we found that the daily screen exposure mediated the effect of reward sensitivity on the development of the inhibitory control system in the brain over a two year period. These findings suggest possible negative long-term impacts of increased daily screen time on children's neuropsychological development. The results further demonstrated that screen time influences dorsal striatum connectivity, which suggests that the effect of daily screen use is a habitual seeking behavior. The study provides neural and behavioral evidence for the negative impact of daily screen use on developing children.

Screen time and suicidal behaviors among U.S. children 9-11 years old: A prospective cohort study

Suicide is a leading cause of death among adolescents. Emerging literature has described relationships between excessive screen time and suicidal behaviors, though findings have been mixed. The objective of this study is to determine the prospective associations between screen time and suicidal behaviors two-years later in a national (U.S.) cohort of 9-11-year-old-children. We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11,633). Logistic regression analyses were estimated to determine the associations between baseline self-reported screen time (exposure) and suicidal behaviors (outcome) based on the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5) at two-year-follow-up. Participants reported an average of 4.0 h of total screen time per day at baseline. At two-year-follow-up, 1.38% of the sample reported at least one suicidal behavior. Each additional hour of total screen time was prospectively associated with 1.09 higher odds of suicidal behaviors at 2-year-follow-up (95% CI 1.03-1.14), after adjusting for covariates. For specific screen time modalities, each additional hour of texting (aOR 1.36, 95% CI 1.06-1.74), video chatting (aOR 1.30, 95% CI 1.03-1.65), watching videos (aOR 1.21, 95% CI 1.04-1.39), and playing video games (aOR 1.18, 95% CI 1.01-1.38) was associated with higher odds of subsequent suicidal behaviors. Higher screen time is associated with higher odds of reporting suicidal behaviors at two-year-follow-up. Future research should seek to identify how specific screen time experiences may influence suicidal behaviors.

Genetic and Environmental Variation in Continuous Phenotypes in the ABCD Study®

Twin studies yield valuable insights into the sources of variation, covariation and causation in human traits. The ABCD Study® (abcdstudy.org) was designed to take advantage of four universities known for their twin research, neuroimaging, population-based sampling, and expertise in genetic epidemiology so that representative twin studies could be performed. In this paper we use the twin data to: (i) provide initial estimates of heritability for the wide range of phenotypes assessed in the ABCD Study using a consistent direct variance estimation approach, assuring that both data and methodology are sound; and (ii) provide an online resource for researchers that can serve as a reference point for future behavior genetic studies of this publicly available dataset. Data were analyzed from 772 pairs of twins aged 9-10 years at study inception, with zygosity determined using genotypic data, recruited and assessed at four twin hub sites. The online tool provides twin correlations and both standardized and unstandardized estimates of additive genetic, and environmental variation for 14,500 continuously distributed phenotypic features, including: structural and functional neuroimaging, neurocognition, personality, psychopathology, substance use propensity, physical, and environmental trait variables. The estimates were obtained using an unconstrained variance approach, so they can be incorporated directly into meta-analyses without upwardly biasing aggregate estimates. The results indicated broad consistency with prior literature where available and provided novel estimates for phenotypes without prior twin studies or those assessed at different ages. Effects of site, self-identified race/ethnicity, age and sex were statistically controlled. Results from genetic modeling of all 53,172 continuous variables, including 38,672 functional MRI variables, will be accessible via the user-friendly open-access web interface we have established, and will be updated as new data are released from the ABCD Study. This paper provides an overview of the initial results from the twin study embedded within the ABCD Study, an introduction to the primary research domains in the ABCD study and twin methodology, and an evaluation of the initial findings with a focus on data quality and suitability for future behavior genetic studies using the ABCD dataset. The broad introductory material is provided in recognition of the multidisciplinary appeal of the ABCD Study. While this paper focuses on univariate analyses, we emphasize the opportunities for multivariate, developmental and causal analyses, as well as those evaluating heterogeneity by key moderators such as sex, demographic factors and genetic background.

Contemporary screen time modalities and disruptive behavior disorders in children: a prospective cohort study

BACKGROUND

Cross-sectional studies have demonstrated associations between screen time and disruptive behavior disorders (conduct disorder and oppositional defiant disorder); however, prospective associations remain unknown. This study's objective was to determine the prospective associations of contemporary screen time modalities with conduct and oppositional defiant disorder in a national cohort of 9-11-year-old children.

METHODS

We analyzed data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11,875). Modified Poisson regression analyses were conducted to estimate the associations between baseline child-reported screen time (total and by modality) and parent-reported conduct or oppositional defiant disorder based on the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5) at 1-year follow-up, adjusting for potential confounders.

RESULTS

Participants reported an average of 4 hr of total screen time per day at baseline. Each hour of total screen time per day was prospectively associated with a 7% higher prevalence of conduct disorder (95% CI 1.03-1.11) and a 5% higher prevalence of oppositional defiant disorder (95% CI 1.03-1.08) at 1-year follow-up. Each hour of social media per day was associated with a 62% higher prevalence of conduct disorder (95% CI 1.39-1.87). Each hour of video chat (prevalence ratio [PR] 1.21, 95% CI 1.06-1.37), texting (PR 1.19, 95% CI 1.07-1.33), television/movies (PR 1.17, 95% CI 1.10-1.25), and video games (PR 1.14, 95% CI 1.07-1.21) per day was associated with a higher prevalence of the oppositional defiant disorder. When examining thresholds, exposure to >4 hr of total screen time per day was associated with a higher prevalence of conduct disorder (69%) and oppositional defiant disorder (46%).

CONCLUSIONS

Higher screen time was prospectively associated with a higher prevalence of new-onset disruptive behavior disorders. The strongest association was between social media and conduct disorder, indicating that future research and interventions may focus on social media platforms to prevent conduct disorder.

Internet and Video Games: Causes of Behavioral Disorders in Children and Teenagers

Even though video games have been present among children for many years, children are using them more continuously and in an abusive and indiscriminate way nowadays because of the "technological boom". It is affecting the behavior of children and adolescents. This is the reason why we are carrying out this systematic review. The main objective of this article is to investigate literature that directly connects the continuous and undifferentiated use of video games with the emergence of behavioral disorders in children and young people. The PRISMA statement was followed in the process of this article. We used SCOPUS, Web of Science and PubMed as databases, moreover, we searched studies with a scoping review. The results indisputably supported six out of seven of our hypotheses. We find that the excessive use of video games causes addiction to technology, aggressive behaviors, sleep disorders, and poor school performance. In addition, it hinders social relationships and the development of emotional intelligence. To conclude, it is necessary to correctly use video games in particular, and technologies in general, adapting their content to children's age, as well as the amount of time that they dedicate to use them.

Cyberbullying involvement, parental support, and cannabis use among adolescents

BACKGROUND

Cyberbullying victimization has been associated with cannabis use among adolescents. However, it is unclear if this relationship also holds for cyberbullying perpetrators.

OBJECTIVE

This cross-sectional study examined the association between cyberbullying involvement and cannabis use among adolescents and tested if parental support was associated with cyberbullying involvement and cannabis use.

PARTICIPANTS AND SETTING

Data from 7229 students aged 11-20 years were obtained from the 2019 Ontario Student Drug Use and Health Survey, a province-wide survey of middle and high school students across Ontario, Canada.

METHODS

Participants self-reported their cannabis use frequency, their involvement in cyberbullying, and their perception of parental support. Cyberbullying involvement was operationalized as an action taking place at least two times. Multivariable logistic regression models were adjusted for age, sex, ethnoracial background, and subjective socioeconomic status.

RESULTS

Overall, 8.6 % of students were cyberbullying victims only, 2 % were cyberbullying perpetrators only, and 2.8 % were both cyberbullying victims and perpetrators. Results showed that experience of cyberbullying victimization only (OR: 2.17; 95 % CI: 1.64-2.88), perpetration only (OR: 2.64; 95 % CI: 1.51-4.63), or both (OR: 3.34; 95 % CI: 2.12-5.28) was associated with greater odds of cannabis use. Results further indicated that higher parental support was associated with lower odds of cannabis use in a dose-response fashion. Higher parental support was also associated with a lower risk of cyberbullying involvement.

CONCLUSIONS

These findings suggest that involvement in cyberbullying in any role is associated with greater cannabis use among adolescents and that parental support is associated with less cannabis use and cyberbullying involvement.

Displacement of peer play by screen time: associations with toddler development

BACKGROUND

Young children's digital media use may adversely affect child development, but the mechanisms of this association are unclear. We evaluated whether screen time displaces reading and peer play time, which are subsequently associated with child development.

METHODS

When children were 12, 18, 24, 30, and 36 months, mothers (n = 3894) reported the time their children spent on screens, being read to by an adult, and playing with other children. At 36 months, mothers completed the Ages and Stages Questionnaire©, an assessment of their child's developmental status.

RESULTS

In unadjusted models, screen time from 12 to 36 months was not associated with reading but was associated with less time engaging in play with peers. In adjusted models accounting for developmental delay at 12 months, family and child characteristics, screen time was not directly associated with developmental delay. More peer play time was associated with a lower likelihood of developmental delay, and having higher screen time increased the likelihood of developmental delay indirectly through reduced peer play time. Results were similar for developmental delays in fine and gross motor, communication, and personal-social domains.

CONCLUSIONS

Screen time in early childhood did not displace reported time spent reading, but did displace reported peer play time.

IMPACT

Among children 1-3 years of age, more screen time was associated with less time engaged in peer play but not less reading with an adult. Having higher screen time from 1 to 3 years increased the odds of developmental delay indirectly through reduced peer play time. Ensuring that children engage in adequate time playing with peers may offset the negative associations between screen time and child development.

Association between patterns of sedentary time and academic performance in adolescents: the mediating role of self-concept

Abstract Objective: To analyze the association between the pattern of sedentary time (bouts and breaks) with academic performance, with an emphasis on the mediating role of self-concept. Methods: Participants in the cross-sectional study were 394 adolescents (208 girls), aged 10–14 years, from sixth grade from Londrina, Paraná, Brazil. The sedentary time pattern was measured through accelerometry. Definitions: sedentary bouts — uninterrupted periods of sedentary behavior; breaks — non-sedentary period between two sedentary bouts. The self-concept was estimated using the Piers-Harris II Inventory. Academic performance was obtained by school grades. Results: Short sedentary bouts were associated with higher academic performance in boys (1–4 minutes: β=0.035, p=0.007) and girls (1–4 minutes: β=0.031, p=0.014; 5–14 minutes: β=0.054, p=0.001). Long bouts (30 minutes) were associated with lower academic performance in boys (β=-0.023; p=0.011) and girls (β=-0.032; p<0.001). For girls, total and intellectual self-concept mediated the association between all sedentary pattern and academic performance (bouts 1–4 minutes [total: 39% and intellectual: 42.8%]; bouts 5–14 minutes [total: 21.5% and intellectual: 35.4%]; bouts ≥30 minutes [total: 22.6% and intellectual: 32.3%]; and breaks [total: 38.9% and intellectual: 40.7%]). For boys, the total (56.4%) and intellectual (82.9%) self-concept mediated only the association between bouts of 5–14 minute and academic performance. Conclusions: The pattern of sedentary time is associated with academic performance in adolescents and this association is mediated by self-concept, especially in girls.

Sociodemographic Correlates of Contemporary Screen Time Use among 9- and 10-Year-Old Children

OBJECTIVE

To determine sociodemographic correlates of contemporary screen time use among a diverse population-based sample of 9- and 10-year-old children.

STUDY DESIGN

In 2021, we analyzed cross-sectional baseline (2016-2018) data from the Adolescent Brain Cognitive Development study (n = 10 755). Multiple linear regression analyses were conducted to estimate associations between sociodemographic factors (sex, race/ethnicity, country of birth, household income, parental education) and 6 contemporary forms of screen time (television, videos [eg, YouTube], video games, social networking, texting, and video chat).

RESULTS

On average, children reported 3.99 hours of screen time per day across 6 modalities, with the most time spent watching/streaming television shows/movies (1.31 hours), playing video games (1.06 hours), and watching/streaming videos (1.05 hours). On average, Black children reported 1.58 more hours of screen time per day and Asian children reported 0.35 less hours of screen time per day compared with White children (mean 3.46 hours per day), and these trends persisted across most modalities. Boys reported higher overall screen time (0.75 hours more) than girls, which was primarily attributed to video games and videos. Girls reported more time texting, social networking, and video chatting than boys. Higher income was associated with lower screen time usage across all modalities except video chat. However, in high-income households, Latinx children reported 0.65 more hours of screen time per day than White children.

CONCLUSIONS

Given the sociodemographic differences in child screen use, guideline implementation strategies can focus on key populations, encourage targeted counseling by pediatricians, and adapt Family Media Use Plans for diverse backgrounds.

Contemporary screen time usage among children 9-10-years-old is associated with higher body mass index percentile at 1-year follow-up: A prospective cohort study

OBJECTIVE

There is a paucity of prospective research exploring the relationship among contemporary screen time modalities (e.g., video streaming, video chatting, texting and social networking) and body mass index (BMI) percentile. The objective of this study was to determine the prospective associations between screen time behaviours in a large and demographically diverse population-based cohort of 9-10-year-old children and BMI percentile at 1-year follow-up.

METHODS

We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11 066). Multiple linear regression analyses were conducted to estimate associations between baseline screen time behaviours (exposure) and BMI percentile at 1-year follow-up, adjusting for race/ethnicity, sex, household income, parent education, depression, binge-eating disorder and baseline BMI percentile.

RESULTS

Each additional hour of total screen time per day was prospectively associated with a 0.22 higher BMI percentile at 1-year follow-up (95% CI 0.10-0.34) after adjusting for covariates. When examining specific screen time behaviours, each additional hour of texting (B = 0.92, 95% CI 0.29-1.55), video chat (B = 0.72, 95% CI 0.09-1.36) and video games (B = 0.42, 95% CI 0.06-0.78) was significantly prospectively associated with higher BMI percentile.

CONCLUSIONS

Screen time is prospectively associated with a higher BMI percentile 1 year later among children 9-10 years old.

The Relation Between Television Viewing Time and Reading Achievement in Elementary School Children: A Test of Substitution and Inhibition Hypotheses

Research has focused on the relations between television (TV) viewing time and children’s reading achievement. Two hypotheses have been proposed to explain this relation. The substitution hypothesis proposes that TV viewing distracts students from activities that are important for their learning. The inhibition hypothesis proposes that watching television inhibits important affective/cognitive skills. In this study, we test both hypotheses by estimating the relation between TV viewing time and reading achievement. We use the frequency of students’ leisure reading and the frequency of interactions between students and their parents as potential mediators to test the substitution hypothesis, whereas for the inhibition one, we use students’ intrinsic motivation to read and their level of inattention. Data come from the Québec Longitudinal Study of Child Development (QLSCD). Designed by the Institut de la statistique du Québec, QLSCD covers a wide range of themes. The QLSCD is representative of children in Québec and contains 2223 participants who were followed from 0 to 21 years old. The four structural models tested are built as follows: the TV viewing time at 6 years old predicts the four mediating variables at 8 years old, which in turn predicts reading achievement at 10 years old. In addition, we have tested models’ gender invariance. Results indicate that TV viewing time is not directly or indirectly associated with reading achievement. Specifically, it is not associated with the mediating variables of child-parent interactions, intrinsic motivation, and inattention. However, the frequency of leisure reading is negatively associated with the time spent watching TV. This association is very small (−0.07) and has no indirect effect on reading achievement. Finally, results do not vary according to the gender of the participants. Our results are in line with those of previous studies in the field and cast some doubts on the potential negative effects of TV viewing time on reading achievement.

Differences in Student Brain Activation from Digital Learning Based on Risk of Digital Media Addiction

Although digital media usage is prevalent among middle school students, the safety of digital media-based learning activities for students at risk of digital media addiction is unknown. The goal of this study was to evaluate the differences in students’ brain activity in relation to their risk of digital media addiction. The study was quasi-experimental, with a pre- to post-test control group design. The study participants included 83 middle school students who were engaged in digital learning. We measured their brainwaves to evaluate brain activity using a PolyG-I (LAXTHA Inc.). We found no statistically significant differences in the location of the attention index between the two groups before and after digital learning. However, there were statistically significant differences between the two groups in the P3, P4, and F4 locations of the relaxation index. These results indicate that students at risk of digital media addiction may experience learning difficulties. These results can be used to guide healthcare professionals in developing digital learning programs that are safe for students and to also verify the effects of these programs.

Passive Sensing of Preteens' Smartphone Use: An Adolescent Brain Cognitive Development (ABCD) Cohort Substudy

BACKGROUND

Concerns abound regarding childhood smartphone use, but studies to date have largely relied on self-reported screen use. Self-reporting of screen use is known to be misreported by pediatric samples and their parents, limiting the accurate determination of the impact of screen use on social, emotional, and cognitive development. Thus, a more passive, objective measurement of smartphone screen use among children is needed.

OBJECTIVE

This study aims to passively sense smartphone screen use by time and types of apps used in a pilot sample of children and to assess the feasibility of passive sensing in a larger longitudinal sample.

METHODS

The Adolescent Brain Cognitive Development (ABCD) study used passive, objective phone app methods for assessing smartphone screen use over 4 weeks in 2019-2020 in a subsample of 67 participants (aged 11-12 years; 31/67, 46% female; 23/67, 34% White). Children and their parents both reported average smartphone screen use before and after the study period, and they completed a questionnaire regarding the acceptability of the study protocol. Descriptive statistics for smartphone screen use, app use, and protocol feasibility and acceptability were reviewed. Analyses of variance were run to assess differences in categorical app use by demographics. Self-report and parent report were correlated with passive sensing data.

RESULTS

Self-report of smartphone screen use was partly consistent with objective measurement (r=0.49), although objective data indicated that children used their phones more than they reported. Passive sensing revealed the most common types of apps used were for streaming (mean 1 hour 57 minutes per day, SD 1 hour 32 minutes), communication (mean 48 minutes per day, SD 1 hour 17 minutes), gaming (mean 41 minutes per day, SD 41 minutes), and social media (mean 36 minutes per day, SD 1 hour 7 minutes). Passive sensing of smartphone screen use was generally acceptable to children (43/62, 69%) and parents (53/62, 85%).

CONCLUSIONS

The results of passive, objective sensing suggest that children use their phones more than they self-report. Therefore, use of more robust methods for objective data collection is necessary and feasible in pediatric samples. These data may then more accurately reflect the impact of smartphone screen use on behavioral and emotional functioning. Accordingly, the ABCD study is implementing a passive sensing protocol in the full ABCD cohort. Taken together, passive assessment with a phone app provided objective, low-burden, novel, informative data about preteen smartphone screen use.

A Qualitative Study on Children's Digital Media Use and Parents' Self-interest

This qualitative study provides insight into the role of parents' self-interest in digital media use of children in different age groups. We conducted 31 semi-structured interviews with fathers/mothers of children aged 3-16 years who were recruited via targeted sampling. A deductive and inductive content analysis was applied. Results show that parents' self-interest in letting children use digital media includes being able to do other tasks without being bothered, having some me-time, managing children's behavior, avoiding discussions, having moments to use digital media themselves and spending quality-time together. In addition, we found that the manner in which parents let children use digital media out of self-interest seems to depend on age. With younger children, parents initiate digital media use or set times at which children are allowed to use digital media. With older children, parents use a passive manner by omitting restrictive responses to their children's media use. Current findings can be used to inform interventions aimed at reducing children's screen time.

Contemporary screen time modalities among children 9-10 years old and binge-eating disorder at one-year follow-up: A prospective cohort study

OBJECTIVE

To determine the prospective associations between contemporary screen time modalities in a nationally representative cohort of 9-10-year-old children and binge-eating disorder at one-year follow-up.

METHOD

We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11,025). Logistic regression analyses were conducted to estimate associations between baseline child-reported screen time (exposure) and parent-reported binge-eating disorder based on the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5, outcome) at one-year follow-up, adjusting for race/ethnicity, sex, household income, parent education, BMI percentile, site, and baseline binge-eating disorder.

RESULTS

Each additional hour of total screen time per day was prospectively associated with 1.11 higher odds of binge-eating disorder at 1-year follow-up (95% CI 1.05-1.18) after adjusting for covariates. In particular, each additional hour of social networking (aOR 1.62, 95% CI 1.18-2.22), texting (aOR 1.40, 95% CI 1.08-1.82), and watching/streaming television shows/movies (aOR 1.39, 95% CI 1.14-1.69) was significantly associated with binge-eating disorder.

DISCUSSION

Clinicians should assess screen time usage and binge eating in children and adolescents and advise parents about the potential risks associated with excessive screen time.

24-Hour Movement Behaviors and Internalizing and Externalizing Behaviors Among Youth

PURPOSE

The Canadian 24-Hour Movement Guidelines for Children and Youth (≥60 minutes of moderate-to-vigorous physical activity per day, ≤2 hours of recreational screen time per day, and 9-11 hours of sleep per night for 5-13 years old) are associated with better physical health, but less is known about how these behaviors are related to mental health. This study examined the association of meeting these guideline recommendations with internalizing and externalizing behaviors among youth.

METHODS

A large and broadly representative cross-sectional sample of 9- to 11-year-old U.S. youth (N = 11,875) from the Adolescent Brain and Cognitive Development study was analyzed. Internalizing and externalizing behaviors were measured using the Child Behaviour Checklist. Associations were examined using negative binomial regression adjusted for several confounders.

RESULTS

Compared to meeting none of the recommendations, meeting recommendations for screen time and sleep but not physical activity was associated with a lower prevalence ratio of total, internalizing, and externalizing behaviors. Meeting two or all three recommendations was more strongly associated with these outcomes than meeting one recommendation or none. The prevalence ratio of the group meeting all three recommendations was .77 (95% confidence interval [CI]: .68-.86) for total problem scores, .78 (95% CI: .68-.89) for internalizing problem scores, and .79 (95% CI: .68-.91) for externalizing problem scores.

CONCLUSIONS

Meeting the 24-hour movement guidelines was associated with a lower risk of internalizing and externalizing behaviors in youth. These associations were mainly explained by meeting the screen time and sleep duration recommendations.

Correlation Between Screen Time and Autistic Symptoms as Well as Development Quotients in Children With Autism Spectrum Disorder

Background: Electronic screen media play an increasingly vital role in children's entertainment; however, excessive screen time may negatively influence child development. The purpose of this study was to investigate the relationship between the screen time of children with autism spectrum disorder (ASD) and their autistic symptoms and development quotients (DQs). Methods: We compared the screen time of 101 children with ASD and 57 typically developing (TD) children. Then, we performed a correlation analysis to determine the correlations between the screen time and the ASD-related scale scores and developmental quotients of the Gesell Developmental Schedules (GDS) of ASD children. We further divided the ASD group into subgroups according to the screen time and age and then separately conducted the above correlation analyses by subgroup. Result: The results showed that the screen time of the children with ASD was longer than that of the TD children (3.34 ± 2.64 h vs. 0.91 ± 0.93 h). The screen time of the children with ASD was positively correlated with the Childhood Autism Rating Scale (CARS) score (r = 0.242, P = 0.021) and "taste, smell and touch" item of CARS(r = 0.304, P = 0.005), and negatively correlated with the language DQ of the GDS (r = -0.236, P = 0.047). The subgroup analysis showed that in the longer screen time subgroup of ASD children, the screen time was positively correlated with the CARS score (r = 0.355, P = 0.026) and negatively correlated with the DQs of all domains of the GDS (P < 0.05). In addition, in the younger age group of ASD children, the screen time was positively correlated with the CARS score (r = 0.314, P = 0.021) and negatively correlated with the DQs of all domains of the GDS, except for the personal-social behavior domain (P < 0.05). Conclusion: Compared with TD children, children with ASD have a longer screen time. The screen time is related to autism-like symptoms and the DQs of children with ASD. The longer the screen time, the more severe the symptoms of ASD (especially sensory symptoms), and the more obvious the developmental delay, especially in ASD children with a longer screen time and younger age, particularly in the language domain.

Screen Time and Autism: Current Situation and Risk Factors for Screen Time Among Pre-school Children With ASD

Objective: To investigate the current status of screen time in children with ASD, its correlation with autistic symptoms and developmental quotient (DQ), and the factors affecting screen time. Method: One hundred ninety-three Chinese children with ASD were recruited. We collected the demographic and screen time data using a questionnaire. The ASD core symptoms and developmental quotient (DQ) were measured by the Autism Behavior Checklist (ABC), Childhood Autism Rating Scale (CARS), Autism Diagnostic Observation Schedule-Second Edition (ADOS-2), Griffiths Development Scales-Chinese Language Edition (GDS-C), and Chinese Children's Parent-Child Relationship Questionnaire (CPCIS). Then, we analyzed the correlations between the screen time of children with ASD and the ABC, CARS, ADOS, GDS-C DQs, and CPCIS scores. Linear regression was used to analyze the risk factors that affect screen time. Results: The children's average daily screen time was 2.64 ± 2.24 h. Forty eight percent children were exposed to two or more types of electronic devices. Their favorite activity of screen time was watching cartoons. Only 34% children spent screen time accompanied by parents and with communication. 50.26% children had no screen time before sleeping. The screen time of children with ASD had a negative correlation with the GDS-C CQ (r = -0.234, P = 0.001) and the CPCIS score (r = -0.180, P = 0.012) and a positive correlation with the CARS score (r = 0.192, P = 0.009). A low father's education level (P = 0.010), less restriction of the child's screen time by the guardian (P = 0.001), greater caregiver screen time (P < 0.001), the use of the screen as a tool for child rearing (P = 0.001), and the child's ownership of independent electronic equipment (P = 0.027) are risk factors for long screen time in children with ASD. Conclusion: The screen time of children with ASD in China is higher than the recommended standard, and the current situation is serious. The screen time of ASD children is related to their autism symptoms, DQ and parent-child interaction. Low paternal education levels, less restriction of children's screen time by guardians, greater guardian screen time, the use of screens in child rearing, and children's ownership of independent electronic equipment can lead to an increase in children's screen time. These findings may have implications for family intervention strategies.

Unpacking Associations between Mood Symptoms and Screen Time in Preadolescents: a Network Analysis

Mounting evidence highlights the link between screen time and adolescent mood problems. However, there are several shortcomings to the extant literature: (1) this link is underexplored in preadolescents, (2) most existing studies look at mood problems using categorical diagnoses rather than from a symptom-level perspective, despite the heterogeneity within mood disorders, (3) few studies have simultaneously examined the links of mood symptoms with different types of screen time, and (4) family/child-level factors that have shown links to youth psychopathology are not typically considered. This study, for the first time, examined the relationships of mood symptoms with different types of screen time, while accounting for theoretically important factors-parental monitoring and the behavioral inhibition/activation systems (BIS/BAS)-in preadolescents aged 9 to 10 from 9986 families participating in the Adolescent Brain and Cognitive Development Study. Using mixed graphical models, we found that screen time involving age-inappropriate content was stably and significantly associated with various elevated mood symptoms, independent from other types of screen time, BIS/BAS, and parental monitoring. Additionally, age-inappropriate screen time was associated with increased overall symptom connectivity. Further, preadolescents engaged in high levels of age-inappropriate screen time reported different symptom profiles (i.e., differences in symptom centralities) from common pediatric mood problems. Our findings underline the multifaceted role (i.e., direct associations with symptoms, a moderator for symptom relationships, associations with distinct symptom profiles) of age-inappropriate screen time in preadolescent mood problems. These findings serve as foundations for future research that may facilitate early detection of preadolescents at risk of mood problems.

Psychological impacts of "screen time" and "green time" for children and adolescents: A systematic scoping review

Technological developments in recent decades have increased young people's engagement with screen-based technologies (screen time), and a reduction in young people's contact with nature (green time) has been observed concurrently. This combination of high screen time and low green time may affect mental health and well-being. The aim of this systematic scoping review was to collate evidence assessing associations between screen time, green time, and psychological outcomes (including mental health, cognitive functioning, and academic achievement) for young children (<5 years), schoolchildren (5-11 years), early adolescents (12-14 years), and older adolescents (15-18 years). Original quantitative studies were identified in four databases (PubMed, PsycInfo, Scopus, Embase), resulting in 186 eligible studies. A third of included studies were undertaken in Europe and almost as many in the United States. The majority of studies were cross-sectional (62%). In general, high levels of screen time appeared to be associated with unfavourable psychological outcomes while green time appeared to be associated with favourable psychological outcomes. The ways screen time and green time were conceptualised and measured were highly heterogeneous, limiting the ability to synthesise the literature. The preponderance of cross-sectional studies with broadly similar findings, despite heterogeneous exposure measures, suggested results were not artefacts. However, additional high-quality longitudinal studies and randomised controlled trials are needed to make a compelling case for causal relationships. Different developmental stages appeared to shape which exposures and outcomes were salient. Young people from low socioeconomic backgrounds may be disproportionately affected by high screen time and low green time. Future research should distinguish between passive and interactive screen activities, and incidental versus purposive exposure to nature. Few studies considered screen time and green time together, and possible reciprocal psychological effects. However, there is preliminary evidence that green time could buffer consequences of high screen time, therefore nature may be an under-utilised public health resource for youth psychological well-being in a high-tech era.

Screen media use and sleep disturbance symptom severity in children

OBJECTIVES

Few studies have sought to evaluate how screen media use relates to symptoms of sleep-wake disturbances. To extend these prior studies in a large sample of children, this study examined associations of different types of screen media with symptom severity of different classes of sleep-wake disturbances. This study was preregistered here.

DESIGN

This study utilized the baseline cross-sectional survey administered within the Adolescent Brain Cognitive Development Study (ABCD; Release 2.0).

PARTICIPANTS

ABCD recruited over 11,000 U.S. children age 9-10 across 21 study sites using an epidemiologically-informed school-based recruitment strategy.

MEASUREMENTS

Children reported typical weekend and weekday use of TV, video, video game, social media, texting, and video chat, and parents completed reports of the child's symptom severity of sleep-wake disturbances via the Sleep Disturbance Scale for Children.

RESULTS

Greater screen media use, TV, video, and video game use, was associated with decreased sleep duration, increased sleep onset latency as well as greater excessive sleepiness, insomnia, and overall sleep disturbance symptom severity. Use of these screen medias were also associated with clinically relevant sleep problems. Ethnoracial differences emerged in screen use and sleep, but did not moderate the association between screen use and sleep.

CONCLUSIONS

Greater use of screen medias was not just associated with longer sleep onset latency and shorter sleep duration, but also increased severity of multiple types of sleep-wake disturbances. Future research should use longitudinal designs to determine the direction of these associations in adolescent populations.

Afternoon School Start Times Are Associated with a Lack of Both Social Jetlag and Sleep Deprivation in Adolescents

The delayed circadian timing of adolescents creates a conflict with early school start times (SSTs). We used wrist actimetry to compare sleep parameters and routine nighttime activities in middle school students attending either a morning (0700 to 1200 h) or an afternoon (1230 to 1730 h) school shift. On school days, students from both shifts (n = 21 for morning shift, n = 20 for afternoon shift, ages 12-14 years) had a similar sleep onset, but morning-shift students had an earlier sleep offset and a 1 h 45 min shorter sleep duration than their afternoon peers, who slept the recommended 8 to 10 h of daily sleep. Only morning-shift students had afternoon naps, but this afternoon sleep was not sufficient to overcome sleep deprivation. On weekends, sleep onsets and offsets did not differ between shifts. Because only morning-shift students woke up later and slept longer (2 h 3 min) on weekends, they were also the only ones who experienced social jetlag. Daily surveys on their nighttime (from 1800 to 0600 h) activities indicated there was no difference between shifts in the time spent on leisure or using electronic media during school days, but students from both shifts spent more time in these activities during the weekend. Our study confirms that early SST in adolescents is associated with sleep deprivation and suggests that schedules that start much later than typically considered may be needed to eliminate sleep deprivation in adolescents.

Associations between screen time, negative life events, and emotional and behavioral problems among Chinese children and adolescents

BACKGROUND

Mental health problems among children and adolescents are a pressing public health issue. This study aimed to investigate the associations between screen time (ST), negative life events (NLEs), and emotional and behavioral problems (EBPs) among Chinese children and adolescents.

METHODS

A total of 5959 boys and girls from 14 elementary and junior high schools of four cities in China were included in this study. EBPs were assessed by the Strengths and Difficulties Questionnaire (SDQ), NLEs were evaluated by the Adolescent Self-Rating Life Events Checklist (ASLEC), and ST data were obtained through self-reporting. Descriptive analyses, chi-squared tests, and logistic regression were performed using SPSS 23.0.

RESULTS

There were significant associations between ST/NLEs and EBPs. Participants with high exposure to ST or NLEs were more likely to have EBPs than those with low exposure to ST or NLEs. The simultaneous associations of ST and NLEs on EBPs were stronger than those of ST or NLEs, individually.

LIMITATIONS

This was a cross-sectional research study; therefore, it could not judge causality or direction. ST and NLEs were retrospective and might have recall biases.

CONCLUSIONS

Our results showed positive associations between ST, NLEs, and EBPs. The results indicate that interventions should be considered to decrease ST and NLEs for children and adolescents.

Screen time and problem behaviors in children: exploring the mediating role of sleep duration

Background

Previous research examining the relationship between screen time (ST) and psychological health outcomes have primarily focused on one type of ST (i.e., television), while little research has considered other types of screens (e.g., videos, movies, social media), screen content (e.g., violent video games), or potential mediating variables. Therefore, the purpose of the present study was to assess ST types and content and their association with problem behaviors, and to determine whether these relationships were mediated by sleep duration.

Methods

Parents and children provided cross-sectional baseline data (2016–18) as part of the Adolescent Brain Cognitive Development study, a broadly US representative sample of 11,875 children aged 9 to 10 years. Parents self-reported their children’s emotional and behavioral syndromes via the Child Behavior Checklist and sleep duration using one item from the Parent Sleep Disturbance Scale. Children self-reported their ST behavior, which comprised ST types (television/movies, videos, video games, and social media) and content (mature-rated video games and R-rated movies).

Results

Time spent in various ST types was positively associated with problem behaviors: watching television/movies was associated with a 5.9% increase in rule-breaking behavior (incidence rate ratio [IRR] = 1.059), 5% increase in social problems (IRR = 1.050), 4% increase in aggressive behavior (IRR = 1.040), and 3.7% increase in thought problems (IRR = 1.037). Greater time spent playing mature-rated video games was associated with greater somatic complaints (IRR = 1.041), aggressive behavior (IRR = 1.039), and reduced sleep duration (IRR = .938). Sleep duration mediated the relationship between ST (type and content) and problem behaviors, albeit the effect sizes were small. The largest effects were observed between sleep duration and all problem behaviors, with greater sleep duration predicting an 8.8–16.6% decrease in problem behaviors (IRRs ranging from .834 to .905).

Conclusion

Greater time spent in ST behavior was associated with greater problem behaviors among children. There was strong evidence that longer sleep duration was associated with reduced problem behaviors. While sleep duration mediated the effects of ST on problem behaviors, other potential mediating variables need to be investigated in future research.

24-Hour Movement Behaviors and Impulsivity

BACKGROUND

The objective of this study was to examine individual and concurrent associations between meeting the Canadian 24-Hour Movement Guidelines for Children and Youth (9-11 hours of sleep per night, ≤2 hours of recreational screen time (ST) per day, and at least 60 minutes of moderate to vigorous physical activity per day) and dimensions of impulsivity.

METHODS

Data from this cross-sectional observational study were part of the first annual curated release of the Adolescent Brain Cognitive Development Study. Participants included 4524 children between the ages of 8 and 11 years.

RESULTS

In analyses, it was shown that adherence to individual movement behavior recommendations as well as combinations of adherence to movement behavior recommendations were associated with each dimension of impulsivity. Meeting all 3 movement behavior recommendations was associated with lower positive urgency (95% confidence interval [CI]: -0.12 to -0.05), negative urgency (95% CI: -0.04 to -0.08), Behavioral Inhibition System (95% CI: -0.08 to -0.01), greater perseverance (95% CI: 0.09 to 0.15), and better scores on delay-discounting (95% CI: 0.57 to 0.94). Meeting the ST and sleep recommendations was associated with less impulsive behaviors on all dimensions of impulsivity: negative urgency (95% CI: -0.20 to -0.10), positive urgency (95% CI: -0.16 to -0.08), perseverance (95% CI: 0.06 to 0.15), Behavioral Inhibition System (95% CI: -0.15 to -0.03), Behavioral Activation System (BAS) reward responsiveness (95% CI: -0.04 to -0.05), BAS drive (95% CI: -0.14 to -0.06), BAS fun-seeking (95% CI: -0.15 to -0.17), and delay-discounting task (95% CI: 0.68 to 0.97).

CONCLUSIONS

Findings support efforts to determine if limiting recreational ST while promoting adequate sleep enhances the treatment and prevention of impulsivity-related disorders.

Screen time among Spanish university students with disabilities: a self-organizing maps analysis

BACKGROUND

Screen time can play a significant role in the health and quality of life of people with disabilities. However, there is a lack of studies on this issue among people with disabilities, and even fewer in the university setting. Thus, the aim of our study was to explore the relationships between screen time, disability grade, body mass index (BMI), physical activity and sociodemographic variables (gender and socioeconomic status) in university students with different disabilities.

METHODS

A cross-sectional study was conducted on a sample of 1091 students with disabilities from 55 Spanish universities. Instruments used for data gathering were the Adolescent Sedentary Activity Questionnaire (ASAQ) and the International Physical Activity Questionnaire-Short Form (IPAQ-SF). A Self-Organizing Maps (SOM) analysis was carried out to explore the relationships between the variables under study.

RESULTS

Participants reported high values in overall screen time (5.45 h per day/week), with computers being the media most used (2.45 h per day/week). The SOM analysis showed slightly higher screen time values in women than men. People with a high disability grade spent less screen time than those with lower disability grade. Contradictory results exist when a group of men with the highest BMI had the highest screen time and the lowest physical activity (PA) while women with low BMI show the highest screen time and PA.

CONCLUSIONS

Gender and disability grade played a moderating role in screen time among people with disabilities while BMI and PA do not play such a role.

One click away: Pilot study of the perceived academic impact of screen time among pharmacy students

INTRODUCTION

We examined the perceived impact (direct and indirect) of screen time on pharmacy students' academics and how pharmacy students attempt to overcome perceived negative impacts.

METHODS

Focus group interviews with first-year and third-year pharmacy students at a single school of pharmacy were conducted, digitally audio-recorded, transcribed, and analyzed. Screen time was defined as time on any device with internet access, and academic impact was referred to as studying and academic performance. Three major questions were asked: (1) At this time in your life, what do you use screen time for?, (2) How does screen time affect you academically, directly or indirectly?, and (3) What suggestions do you have for trying to overcome the negative impacts of screen time?

RESULTS

Participants reported using screen time for educational purposes, communication, entertainment, and creative outlets. Two identified themes were the ease of access to screens and the need for self-control to limit access. Positive (and more direct) academic impacts included having useful online resources and electronically organizing educational materials. Primarily negative impacts were distraction, which included the habitual nature of screen time and time management struggles, and poor sleep hygiene. Students reported addressing self-control needs by being more self-aware, attempting to set boundaries, using screen time as a reward, and limiting one's academic need for using internet-enabled devices by doing things "by hand".

CONCLUSIONS

Helping students to maximize positive and minimize negative impacts of screen time may provide opportunities for collaboration among student leaders, instructors, and student affairs administrators.

Expert's Choice: 2018's Most Exciting Research in the Field of Pediatric Exercise Science

This commentary highlights 23 noteworthy publications from 2018, selected by leading scientists in pediatric exercise science. These publications have been deemed as significant or exciting in the field as they (a) reveal a new mechanism, (b) highlight a new measurement tool, (c) discuss a new concept or interpretation/application of an existing concept, or (d) describe a new therapeutic approach or clinical tool in youth. In some cases, findings in adults are highlighted, as they may have important implications in youth. The selected publications span the field of pediatric exercise science, specifically focusing on: aerobic exercise and training; neuromuscular physiology, exercise, and training; endocrinology and exercise; resistance training; physical activity and bone strength; growth, maturation, and exercise; physical activity and cognition; childhood obesity, physical activity, and exercise; pulmonary physiology or diseases, exercise, and training; immunology and exercise; cardiovascular physiology and disease; and physical activity, inactivity, and health.

Differential Relationships of Child Anxiety and Depression to Child Report and Parent Report of Electronic Media Use

Child depression and anxiety have been associated with electronic media use, but the comorbidity between the two has rarely been accounted for in analyses. We examined both child and parent reports of electronic media use in relation to parent-reported child depression and anxiety. Using survey and interview data collected for 9- to 11-year-olds from the 21-site adolescent brain cognitive development study, we conducted generalized linear mixed models. Our results demonstrated that electronic media use was more strongly associated with depression than anxiety, and that accounting for depression significantly reduced the relationship between electronic media use and anxiety. Different categories of electronic media showed differential relationships to anxiety and depression, with video gaming and video chatting related to anxiety, but video watching related to depression. These findings provide important data to ground theories of the mechanisms that contribute to these associations.

Technology and interactive social media use among 8th and 10th graders in the U.S. and associations with homework and school grades

This study examined differences by age, gender, and race/ethnicity in the use of technology and interactive social media from 2013-2016 using data from nationally-representative samples of U.S. 8th and 10th graders (N=40,389). Results indicated that 8^th graders watch TV and play video games more than 10^th graders; boys play more video games and use interactive social media less than girls; and Black adolescents use most forms of media more often than those from other race/ethnicity groups, with the exception of using the computer for school reported most often by Asian adolescents. Mean differences showed that adolescents who spend more time on homework spend more time using the computer for school, and spend less time watching weekday TV, playing video games, and talking on the phone. Adolescents with higher grades spend more time using the computer for school and spend less time on all other types of technology and interactive social media, except for watching weekend TV. Multivariable logistic regression results indicate that watching TV on a weekday was consistently negatively associated with academic outcomes and using the computer for school was consistently positively associated with academic outcomes.

Associations between 24 hour movement behaviours and global cognition in US children: a cross-sectional observational study

BACKGROUND

Childhood and adolescence are crucial periods for brain development, and the behaviours during a typical 24 h period contribute to cognitive performance. The Canadian 24-Hour Movement Guidelines for Children and Youth recommend at least 60 min physical activity per day, 2 h or less recreational screen time per day, and 9-11 h sleep per night in children aged 8-11 years. We investigated the relationship between adherence to these recommendations and global cognition.

METHODS

In this cross-sectional observational study, we obtained data from the first annual curated release of the Adolescent Brain Cognitive Development study, a 10-year longitudinal, observational study. Data were collected from 21 study sites across the USA between Sept 1, 2016, and Sept 15, 2017. The participants were 4524 US children aged 8-11 years from 20 study sites. Exposures of interest were adherence to the physical activity, recreational screen time, and sleep duration guideline recommendations. The primary outcome was global cognition, assessed with the NIH Toolbox (National Institutes of Health, Bethesda, MD, USA), which we analysed with multivariable linear mixed-effects models to examine the relations with movement behaviour variables.

FINDINGS

Complete movement behaviour data were available for 4520 participants. The mean number of guideline recommendations met was 1·1 (SD 0·9). Overall, 2303 (51%) participants met the sleep recommendation, 1655 (37%) met screen time, and 793 (18%) met the physical activity recommendation. 3190 (71%) participants met at least one recommendation, whereas 216 (5%) of participants met all three recommendations. Global cognition was positively associated with each additional recommendation met (β=1·44, 95% CI 0·82-2·07, p<0·0001). Compared with meeting none of the recommendations, associations with superior global cognition were found in participants who met all three recommendations (β=3·89, 95% CI 1·43 to 6·34, p=0·0019), the screen time recommendation only (β=4·25, 2·50-6·01, p<0·0001), and both the screen time and the sleep recommendations (β=5·15, 3·56-6·74, p<0·0001).

INTERPRETATION

Meeting the 24 h movement recommendations was associated with superior global cognition. These findings highlight the importance of limiting recreational screen time and encouraging healthy sleep to improve cognition in children.

FUNDING

National Institutes of Health.

The Prospective Association Between Electronic Device Use Before Bedtime and Academic Attainment in Adolescents

PURPOSE

To examine longitudinal associations between five commonly used technology devices prior to bedtime and real-life academic outcomes in adolescents.

METHODS

A total of 853 adolescents were recruited to a three-year prospective cohort study, with annual assessments. Academic grades/levels for three core subjects (English, Mathematics, and Science) were extracted from school records, and standardized (z-scores) were derived at the end of each academic year. A validated questionnaire was used to determine the frequency of using five types of technology (television viewing, video gaming, mobile telephone use, listening to music, and social networking) before bedtime.

RESULTS

After adjustment, English attainment was the subject most affected by prebedtime technology use, where three of five technologies assessed were negatively and prospectively associated (social networking [β = -.07 and p = .024], video gaming [β = -.10 and p = .008], and mobile telephone [β = -.07 and p=.017]). Social networking (β = -.07and p = .042), television viewing (β = -.08 and p = .044), and mobile telephones (β = -.07 and p = .031) were associated with significant impairment in English for girls whereas attainment in boys was most impaired by video gaming (β = -.12 and p = .014).

CONCLUSIONS

The use of electronic devices by adolescents before bedtime may reduce their academic attainment, but apart from video gaming for boys, the negative impact of near bedtime technology use on academic performance is small.

The 3-Year Longitudinal Impact of Sedentary Behavior on the Academic Achievement of Secondary School Students

BACKGROUND

Sedentary behavior is linked to many adverse health outcomes; however, its relationship with academic achievement is less understood. We examined sedentary behavior's impact on academic achievement over 3 years in 4408 adolescents from the COMPASS study.

METHODS

Sedentary behavior (screen-based: watching/streaming television shows/movies, video/computer games, surfing the internet; communication-based: texting/messaging/emailing, talking on the phone; and doing homework) and academic achievement (overall math and English marks) were self-reported.

RESULTS

Holding time fixed, moving from the lowest quartile (Q1) to Q2, Q3, or Q4 of watching/streaming television shows/movies (Q2: OR = 0.90; 95%CI: 0.84-0.97, Q3: OR = 0.85; 95%CI: 0.74-0.98, Q4: OR = 0.74; 95%CI: 0.64-0.85) or to Q2 of surfing the internet (Q2: OR = 0.87; 95%CI: 0.78-0.97) decreased the likelihood of surpassing English standards. Moving from Q1 to Q2 of communication-based sedentary behavior (OR = 0.90; 95%CI: 0.82-0.99) decreased the likelihood of surpassing math standards. Moving from Q1 to Q4 (OR = 1.31; 95%CI: 1.15-1.50) of watching/streaming television shows/movies increased the likelihood of surpassing math standards. Moving from Q1 to Q4 of doing homework (OR = 1.16; 95%CI: 1.02-1.31) increased the likelihood of surpassing English standards.

CONCLUSIONS

Predicting academic achievement from total sedentary behavior is challenging. Targeting specific types of sedentary behavior should be considered for improving math and English achievement.

The Inverse Relationship between Digital Media Exposure and Childhood Flourishing

OBJECTIVE

To describe the relationship between digital media exposure (DME) and parental perception of childhood flourishing, or overall positive well-being. It is hypothesized that there is an inverse association between parent-reported measures of childhood flourishing and increasing daily DME.

STUDY DESIGN

Parental responses for children ages 6-17 years (N = 64 464) from the 2011-2012 National Survey of Children's Health were analyzed. Average weekday DME that was not school work related was categorized in 2-hour intervals: 0 to <2, 2 to < 4, 4 to < 6, and ≥6 hours. Bivariate analyses and logistic regression models were used to examine the relationship between DME and parent-reported frequency of 5 childhood flourishing markers: completing homework, caring about academics, finishing tasks, staying calm when challenged, and showing interest in learning.

RESULTS

Only 31% reported <2 hours of weekday DME. For the remaining children, daily DME was 2 to <4 hours (36%), 4 to <6 hours (17%), or ≥6 hours (17%). In a model adjusted for age, sex, race, poverty level, primary language spoken at home, and highest maternal education level, there was a dose-dependent decrease in the odds of demonstrating all 5 markers of flourishing as weekday DME increased (test for trend for each outcome P < .001). In stratified analyses, this relationship held true regardless of the child's age group, sex, or poverty level.

CONCLUSION

This study provides evidence that, among school-aged children, increasing weekday DME has an inverse dose-dependent relationship with multiple childhood flourishing markers.

Cross-sectional and longitudinal associations of screen time and physical activity with school performance at different types of secondary school

Background

Previous studies have already reported associations of media consumption and/or physical activity with school achievement. However, longitudinal studies investigating independent effects of physical activity and media consumption on school performance are sparse. The present study fills this research gap and, furthermore, assesses relationships of the type of secondary school with media consumption and physical activity.

Methods

The consumption of screen-based media (TV/video, game console, PC/internet, and mobile phone) and leisure physical activity (organized and non-organized) of 10 – to 17-year old adolescents participating in the LIFE Child study in Germany were related to their school grades in two major school subjects (Mathematics and German) and in Physical Education. In addition to a cross-sectional analysis at baseline (N = 850), a longitudinal analysis (N = 512) investigated the independent effects of these activities on the school grades achieved 12 months later. All associations were adjusted for age, gender, socio-economic status, year of data assessment, body-mass-index, and school grades at baseline. A further analysis investigated differences in the consumption of screen-based media and physical activity as a function of the type of secondary school (highest vs. lower secondary school).

Results

Adolescents of lower secondary schools reported a significantly higher consumption of TV/video and game consoles than adolescents attending the highest secondary school. Independently of the type of school, a better school performance in Mathematics was predicted by a lower consumption of computers/internet, and a better performance in Physical Education was predicted by a lower consumption of TV/video and a higher frequency of non-organized physical activity. However, the association between non-organized physical activity and subsequent grades in Physical Education was significant in girls only.

Conclusion

The present results suggest that media consumption has a negative effect on school achievement, whereas physical activity has a positive effect, which, however, is restricted to the subject Physical Education. Future studies might explore the relationship between media consumption and school career, for example, the choice or change of the secondary school type, in more detail.

Trial registration

LIFE Child study: ClinicalTrials.gov, clinical trial number NCT02550236

Exposure to video games: effects on sleep and on post-sleep cognitive abilities. A sistematic review of experimental evidences

The public opinion is ever more interested and worried about possible effects of exposure to VGs (video games) on human life and well-being. Scientific literature shows several evidences highlighting negative outcomes on behavioural, emotive, cognitive and physical health spheres. All these aspects are intrinsically linked to sleep quality and quantity and to date very few studies directly investigated the effects of videogame (VG) exposure on sleep and post-sleep cognitive status. The aim of the present systematic review is to examine the impact that the exposure to VGs can produce on sleep pattern and the consequent post-sleep cognitive abilities. To this extent, only studies directly investigating the effects of VGs on sleep features and post-sleep cognitive abilities have been selected and discussed. Data currently present in literature show the alteration of sleep pattern after exposure to VGs. The analysis indicated a reduction of Total Sleep Time (TST) and an increase of Sleep Onset Latency (SOL), modifications of the REM sleep and Slow Wave Sleep (SWS), and increased sleepiness and self-perceived fatigue. Moreover, post-sleep sustained attention and verbal memory also appear to be impaired. It can be concluded that playing VGs for long periods, particularly in the evening, is a significant, common and probable cause of sleep problems: evening exposure to VGs, in fact, can bring to insufficient and low quality sleep, with possible effects on cognition in the subsequent waking days. Potential methodological flaws and limitations of these studies have also been described and discussed. Because of the very limited number of available study on this topic further research is strongly needed.

The Relation of Physical Activity, Sedentary Behaviors, and Academic Achievement Is Mediated by Fitness and Bedtime

BACKGROUND

This study investigated the associations of subjectively and objectively measured physical activity (PA) and sedentary behavior with academic achievement. We further examined whether aerobic fitness, obesity, and bedtime mediate these associations.

METHODS

This study included 970 children aged 9-15 years (52.3% girls) from 9 schools throughout Finland. Register-based academic achievement [grade point average (GPA)] as well as self-reported and accelerometer-measured PA/sedentary behavior were assessed during spring 2013. Aerobic fitness (assessed via a maximal shuttle run test), body composition (assessed via bioimpedance analysis), and self-reported bedtime were collected. Structural equation modeling was applied to examine the associations. Standardized regression coefficients are presented.

RESULTS

Self-reported PA had a direct positive [β = 0.084; 95% confidence interval (CI), 0.023 to 0.145] and an indirect positive association with GPA through higher aerobic fitness (β = 0.061; 95% CI, 0.033 to -0.087). Accelerometer-based PA was not associated with GPA. Self-reported screen time had an indirect negative association with GPA through later bedtime (β = -0.071; 95% CI, -0.096 to -0.035) and lower aerobic fitness (β = -0.039; 95% CI, -0.059 to 0.019). Nonscreen sedentary time had a direct positive (β = 0.193; 95% CI, 0.101 to -0.289) and an indirect negative association with GPA through lower aerobic fitness (β = -0.040; 95% CI, -0.063 to -0.016).

CONCLUSIONS

Participating in PA, avoiding excessive screen time, and going to bed earlier may benefit academic achievement.

Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description

The Adolescent Brain and Cognitive Development (ABCD) Study incorporates a comprehensive range of measures assessing predictors and outcomes related to both mental and physical health across childhood and adolescence. The workgroup developed a battery that would assess a comprehensive range of domains that address study aims while minimizing participant and family burden. We review the major considerations that went into deciding what constructs to cover in the demographics, physical health and mental health domains, as well as the process of selecting measures, piloting and refining the originally proposed battery. We present a description of the baseline battery, as well as the six-month interim assessments and the one-year follow-up assessments. This battery includes assessments from the perspectives of both the parent and the target youth, as well as teacher reports. This battery will provide a foundational baseline assessment of the youth's current function so as to permit characterization of stability and change in key domains over time. The findings from this battery will also be utilized to identify both resilience markers that predict healthy development and risk factors for later adverse outcomes in physical health, mental health, and substance use and abuse.

Associations of health behaviors, school performance and psychosocial problems in adolescents in The Netherlands

School-based health-promoting interventions show promising results in improving various health outcomes of adolescents. Unfortunately, much is still unknown about the relations between health behaviors and school performances, while improving these would give schools a stronger incentive to invest in health promotion. This paper presents the associations of several health behaviors with school performances and studies the mediating effects of psychosocial problems. Health behavior and socio-demographic data were gathered from 905 Dutch high school students via an online survey, completed in-class. These data were matched with school records of the students' overall grade average (GA) on the three core subjects in Dutch high schools (Dutch, English and Math). The associations between health behaviors and school performances, and the potentially mediating effects of psychosocial problems, were studied via mixed-effects regression models. Smoking, being bullied, compulsive and excessive internet use and low physical activity were directly associated with lower school grades. Additionally, being bullied, bullying, smoking, excessive and compulsive internet use were associated with students' grades via mediation of psychosocial problems. This means that lower school grades were (also) associated with those behaviors through the effects of psychosocial problems in those students. This study showed the strong links between health behaviors and academic achievements among adolescents. Schools and health promoters should be educated more on these relations, so that they are aware of this common interest to get more support for health-promoting interventions. Additionally, the role of psychosocial problems in the relations between behaviors and school performances should be studied further in future research.

[The Influence of Media Consumption During Early Childhood on Media Use and Psychological Disorders in Adolescence]

The Influence of Media Consumption During Early Childhood on Media Use and Psychological Disorders in Adolescence There are many studies that suggest that there is a link between high media consumption and psychological, physiological and social disorders. Nevertheless, there are also inconsistent results, methodical limitations and a lack of longitudinal studies. The present study analyses habits of media consumption in children and adolescents, the influence of different early childhood risk factors on the use of the media in adolescence and the links between early childhood media consumption and disorders in adolescence. The source of the data is the longitudinal project Future Family III. 249 families participated in the last data collection in the adolescence. Adolescents use the media more than five hours per day on average, nearly fifty percent of these adolescents can be considered as internet addicted and a majority consumes violent contents. A low socioeconomic status, low socio-emotional competences and low intelligence of the child as well as unfavorable educational style and psychological stress of the mother are risk factors for the media use in adolescence. Adolescents with a migration background have an increased risk of internet and computer game dependency. On the other hand, the overall utilization of media in the early childhood has only a low predictive power. The results indicate that these connections seem to be more complex than assumed. There is a need for more longitudinal studies in order to get a better understanding of the consequences of media consumption.

Television Viewing and Its Association with Sedentary Behaviors, Self-Rated Heath and Academic Performance among Secondary School Students in Peru

The study assessed television viewing >2 h a day and its association with sedentary behaviors, self-rated health, and academic performance among secondary school adolescents. A cross-sectional survey was conducted among randomly selected students in Lima in 2015. We measured self-reported responses of students using a standard questionnaire, and conducted in-depth interviews with 10 parents and 10 teachers. Chi-square test, correlation and multivariate logistic regression analysis were performed among 1234 students, and thematic analysis technique was used for qualitative information. A total of 23.1% adolescents reported watching television >2 h a day. Qualitative findings also show that adolescents spend most of their leisure time watching television, playing video games or using the Internet. Television viewing had a significant positive correlation with video game use in males and older adolescents, with Internet use in both sexes, and a negative correlation with self-rated health and academic performance in females. Multivariate logistic regression analysis shows that television viewing >2 h a day, independent of physical activity was associated with video games use >2 h a day, Internet use >2 h a day, poor/fair self-rated health and poor self-reported academic performance. Television viewing time and sex had a significant interaction effect on both video game use >2 h a day and Internet use >2 h a day. Reducing television viewing time may be an effective strategy for improving health and academic performance in adolescents.