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

Associations between media parenting practices and early adolescent screen use

BACKGROUND

To assess the prevalence of various media parenting practices and identify their associations with early adolescent screen time and problematic social media, video game, and mobile phone use.

METHODS

Cross-sectional data from Year 3 of the Adolescent Brain Cognitive Development (ABCD) Study (2019-2022) that included 10,048 adolescents (12-13 years, 48.3% female, 45.6% racial/ethnic minorities) in the US were analyzed using multiple linear regression analyses adjusting for potential confounders.

RESULTS

Parent screen use, family mealtime screen use, and bedroom screen use were associated with greater adolescent screen time and problematic social media, video game, and mobile phone use. Parental use of screens to control behavior (e.g., as a reward or punishment) was associated with higher screen time and greater problematic video game use. Parental monitoring of screens was associated with lower screen time and less problematic social media and mobile phone use. Parental limit setting of screens was associated with lower screen time and less problematic social media, video game, and mobile phone use.

DISCUSSION

Parent screen use, mealtime screen use, and bedroom screen use were associated with higher adolescent problematic screen use and could be limited in a family media use plan. Parental monitoring and limiting of screen time are associated with less problematic screen use.

IMPACT STATEMENT

Although the American Academy of Pediatrics provides guidance for screen use for children 5-18 years, there is a paucity of evidence-based guidance for media parenting practices, specifically for early adolescents. In a diverse sample of 10,048 early adolescents across the US, we found cross-sectional associations between parent, mealtime, and bedroom screen use and higher adolescent problematic screen use. Parental monitoring and limiting of adolescent screen time were cross-sectionally associated with less problematic screen use in our analytic sample and may be incorporated into a family media use plan.

Associations between screen use while eating and eating disorder symptomatology: Exploring the roles of mindfulness and intuitive eating

Screen use while eating has been recently identified as a highly common and potentially important specific setting of screen use in relation to eating disorder symptomatology. However, given this area of research is still in its infancy, how screen use while eating may be related to eating disorder symptomatology remains largely unexplored. To fill this gap, the present study probed the potential roles of mindfulness and intuitive eating in the association between screen use while eating and eating disorder symptomatology. A large sample of Chinese adults (N = 800, aged 18-67 years old) recruited through a Chinese survey platform, Credamo, completed questionnaires assessing screen use while eating, eating disorder symptomatology, mindfulness, and intuitive eating. Structural equation modeling was used to test the proposed model. Results confirmed our hypotheses that the association between screen use while eating and eating disorder symptomatology was partially explained by mindfulness and intuitive eating, after adjusting for covariates (e.g., gender, age, body mass index, total screen time, and social media use). That said, higher screen use while eating was associated first with lower mindfulness and then with lower intuitive eating, which in turn were related to higher eating disorder symptomatology. The findings underline the importance of including eating-specific screen use for future research on eating disorder symptomatology and also have implications for an integrative intervention of mindfulness-based approaches and intuitive eating for mitigating the adverse effects of excessive screen use on eating behaviors.

Prospective association of screen time with binge-eating disorder among adolescents in the United States: The mediating role of depression

OBJECTIVE

Screen time has been reported to be associated with binge-eating disorder (BED) among adolescents in the US; however, potential mediators remain unclear. This study aimed to evaluate depression symptoms as a mediator of the prospective association between screen time and BED.

METHOD

We utilized data from 9465 children (aged 9-11 years at baseline) from the Adolescent Brain Cognitive Development (ABCD) study (2016-2021). A generalized structural equation model was used to examine the prospective association between average daily screen time at baseline and BED at year 2, adjusting for baseline BED diagnosis, and other potential covariates (e.g., age, sex, and income). Mediation was examined using bias-corrected (BC) 95% confidence intervals for the indirect effect of baseline screen time on year 2 BED through depression symptoms (change from baseline to year 1).

RESULTS

One hundred and one participants (42.7% male, 49.4% racial/ethnic minority) met the criteria for BED in year 2. Participants were 9.9 years of age on average at baseline, 51.3% identified as male, and 43.1% identified as a racial/ethnic minority. Adjusting for covariates, screen time was prospectively associated with BED (OR = 1.09, 95% CI [1.03, 1.14], p = .005). Depression symptoms (B = .19, BC 95% CI [0.10, 0.28]) partially mediated (9.2%) the prospective association between screen time and BED.

DISCUSSION

Among US adolescents, higher baseline screen time was prospectively associated with BED diagnosis at year 2, and this relationship was partially mediated by increased depression symptoms. Preventive approaches targeting high screen use may have utility for reducing BED risk among adolescents.

PUBLIC SIGNIFICANCE

Among U.S. adolescents, higher screen time was prospectively associated with the incidence of BED. This association was partially mediated by the change in depressive symptoms. Preventive approaches targeting high screen use may have utility for reducing BED risk among adolescents.

Relationships among Sleep Time, Physical Activity Time, Screen Time, and Nutrition Literacy of Adolescents: A Cross-Sectional Study in Chongqing, China

Background: Unhealthy lifestyles among adolescents are reaching alarming levels and have become a major public health problem. This study aimed to assess the relationship between sleep time, physical activity (PA) time, screen time (ST), and nutritional literacy (NL). Methods: This cross-sectional online study involving adolescents aged 10-18 years was conducted in September 2020 in 239 schools in Chongqing, China. NL was measured using the "Nutrition Literacy Scale for middle school students in Chongqing (CM-NLS)". According to the recommended by the Chinese dietary guidelines (2022), we divided the sleep time of junior high school students into <9 h and ≥9 h, high school students into <8 h and ≥8 h, divided the workdays into weekend PA time < 1 h and ≥1 h, and divided the workdays into weekend ST < 2 h and ≥2 h. The multinomial logistic regression model was used to examine the association. Results: A total of 18,660 adolescents (50.2% males) were included. The proportion of participants that were junior high school students and attended boarding schools was 57.2% and 65.3%, respectively. Compared with senior high school students, junior high school students had a higher level of NL. Whether on workdays or weekends, participants with sleep time ≥ 8/9 h, PA time ≥ 1 h, and ST < 2 h per day had higher levels of NL. On weekdays, participants who met the sleep time ≥ 8 h/9 h (OR = 1.48, 95% CI: 1.36, 1.62) and PA time ≥ 1 h (OR = 1.69, 95% CI: 1.59, 1.81) had higher reporting of NL levels. Conclusions: Sleep time, PA time, and ST were positively correlated with NL among adolescents, especially junior high school students.

Digital Media and Developing Brains: Concerns and Opportunities

Purpose of Review

The incorporation of digital technologies and their use in youth's everyday lives has been increasing rapidly over the past several decades with possible impacts on youth development and mental health. This narrative review aimed to consider how the use of digital technologies may be influencing brain development underlying adaptive and maladaptive screen-related behaviors.

Recent Findings

To explore and provide direction for further scientific inquiry, an international group of experts considered what is known, important gaps in knowledge, and how a research agenda might be pursued regarding relationships between screen media activity and neurodevelopment from infancy through childhood and adolescence. While an understanding of brain-behavior relationships involving screen media activity has been emerging, significant gaps exist that have important implications for the health of developing youth.

Summary

Specific considerations regarding brain-behavior relationships involving screen media activity exist for infancy, toddlerhood, and early childhood; middle childhood; and adolescence. Transdiagnostic frameworks may provide a foundation for guiding future research efforts. Translating knowledge gained into better interventions and policy to promote healthy development is important in a rapidly changing digital technology environment.

Trends in the relationship between suicide behaviors and obesity among adolescents in the United States from 1999 to 2019

Previous studies indicate that obesity is a risk factor of suicide behaviors among adolescents. Whether this association has remained consistent during the ongoing obesity epidemic remains unknown. The time trends of the obesity-suicide association were examined using the 1999-2019 biannual Youth Risk Behavior Survey data (n = 161,606). Prevalence odds ratio of suicide behaviors among adolescents with obesity (vs. adolescents with no obesity) for each survey year and time trends using National Cancer Institute Joinpoint regression analysis was calculated. For each year post-baseline, there was a significant increase of prevalence odds ratio of 1.4 (1.2-1.6)-1.6 (1.3-2.0) for suicide ideation, 1.3 (1.1-1.7) -1.7 (1.4-2.0) for plan, and 1.3 (1.0-1.7) -1.9 (1.5-2.4) for an attempt, except for the 2013 survey for attempt (1.19 [0.9-1.6]). Significant positive trends were found from1999 to 2019 for ideation and plan, with biannual %-changes of + 0.92 and + 1.22%, respectively. Adolescents with obesity have consistently higher odds of engaging in suicide behaviors than their peers without obesity since the beginning of the United States obesity epidemic, and this association grew stronger as the obesity epidemic continued.

TV Viewing From Young Adulthood to Middle Age and Cardiovascular Disease Risk

INTRODUCTION

Few studies have longitudinally examined TV viewing trajectories and cardiovascular disease risk factors. The objective of this study was to determine the association between level and annualized changes in young adult TV viewing and the incidence of cardiovascular disease risk factors from young adulthood to middle age.

METHODS

In 2023, prospective community-based cohort data of 4,318 Coronary Artery Risk Development in Young Adults study participants (1990-1991 to 2015-2016) were analyzed. Individualized daily TV viewing trajectories for each participant were developed using linear mixed models.

RESULTS

Every additional hour of TV viewing at age 23 years was associated with higher odds of incident hypertension (AOR=1.16; 95% CI=1.11, 1.22), diabetes (AOR=1.19; 95% CI=1.11, 1.28), high triglycerides (AOR=1.17; 95% CI=1.08, 1.26), dyslipidemia (AOR=1.10; 95% CI=1.03, 1.16), and obesity (AOR=1.12; 95% CI=1.06, 1.17). In addition, each hourly increase in daily TV viewing was associated with higher annual odds of incident hypertension (AOR=1.26; 95% CI=1.16, 1.37), low high-density lipoprotein cholesterol (AOR=1.15; 95% CI=1.03, 1.30), high triglycerides (AOR=1.32; 95% CI=1.15, 1.51), dyslipidemia (AOR=1.22; 95% CI=1.11, 1.34), and obesity (AOR=1.17; 95% CI=1.07, 1.27) over the follow-up period.

CONCLUSIONS

In this prospective cohort study, higher TV viewing in young adulthood and annual increases in TV viewing were associated with incident hypertension, high triglycerides, and obesity. Young adulthood as well as behaviors across midlife may be important time periods to promote healthful TV viewing behavior patterns.

Executive function differences as a function of parent-reported binge eating and weight: Results from the adolescent brain cognitive development study

Background

Binge eating is a relatively common disordered eating behavior among children, and is associated with poor health outcomes. Executive function (EF)-higher order cognitive abilities related to planning and impulse control-may be implicated in both binge eating and pediatric obesity. Although EF deficits are evident among individuals with obesity and/or binge eating, findings are mixed across the lifespan.

Methods

The present study examined differences in EF among children with varying weight statuses and parent-reported binge eating. The sample included 10,017 children from the Adolescent Brain Cognitive Development study, aged 9-10 years.

Results

Children with parent-reported binge eating-either with overweight/obesity or normal weight-had significantly lower EF than those with no binge eating and a normal weight status but did not differ from those with no binge eating and overweight/obesity. Children with no binge eating and overweight/obesity also had statistically significantly lower EF than those with normal weight status. Although all significant differences between groups were negligible to very small, results may indicate similar neurocognitive profiles among children with binge eating and those with overweight/obesity.

Conclusions

Alterations in EF among children with binge eating may not be solely related to weight-specific factors, as significant differences also emerged among children with normal weight status, with versus without parent-reported binge eating. Future research is needed to understand temporal associations between obesity, disordered eating, and neurocognition in children using multi-informant methods for assessing binge eating.

Eating behaviours, social media usage, and its association: A cross-sectional study in Indian medical undergraduates

Background

Despite increasing incidence, there is little data on abnormal eating behaviours or disorders in Indian youth, especially medical students. Additionally, little literature exists measuring the association of social media use with abnormal eating behaviours.

Aim

To assess the prevalence of abnormal eating behaviours amongst medical students, social media usage, and any association of social media usage with eating behaviours.

Materials and Methods

An online cross-sectional questionnaire-based study was conducted with 272 participants at a medical college, and two scales: the Three-Factor Eating Questionnaire-Revised 21items (TFEQ-R21) and the Scale of Effects of social media on Eating Behaviour (SESMEB) were used.

Results

22% of the participants reported abnormal eating behaviours. A significant difference in the effect of social media on eating behaviour according to the year of study [f = 3.08, P = 0.02] was seen with the final years having the lowest and the first years having the highest SESMEB scores. Students using more than 4 social media platforms had a higher SESMEB score [t = -2.02, P < 0.04]. A positive correlation was seen between TFEQ domains such as uncontrolled eating [r = 0.38, P = 0.01], emotional eating [r = 0.30, P = 0.01], and TFEQ total score [r = 0.40, P = 0.01] with SESMEB scores.

Conclusion

This study finds a significant correlation between increased social media usage and developing abnormal eating behaviours in medical students. It highlights the need for the creation of policies regulating social media use with eating behaviours in mind.

The social epidemiology of binge-eating disorder and behaviors in early adolescents

BACKGROUND

Binge-eating disorder (BED) is the most common eating disorder phenotype and is linked to several negative health outcomes. Yet, little is known about the social epidemiology of BED, particularly in early adolescence. The objective of this study was to examine the associations between sociodemographic characteristics and BED and binge-eating behaviors in a large, national cohort of 10-14-year-old adolescents in the United States (U.S.) METHODS: We conducted a cross-sectional analysis of two-year follow-up data from the Adolescent Brain Cognitive Development (ABCD) Study (2018 - 2020) that included 10,197 early adolescents (10 - 14 years, mean 12 years) in the U.S. Multivariable logistic regression models were used to assess the associations between sociodemographic characteristics and BED and binge-eating behaviors, defined based on the Kiddie Schedule for Affective Disorders and Schizophrenia.

RESULTS

In this early adolescent sample (48.8% female, 54.0% White, 19.8% Latino/Hispanic, 16.1% Black, 5.4% Asian, 3.2% Native American, 1.5% Other), the prevalence of BED and binge-eating behaviors were 1.0% and 6.3%, respectively. Identifying as gay or bisexual (compared to heterosexual; adjusted odds ratio [AOR]: 2.25, 95% CI 1.01-5.01) and having a household income of less than $75,000 (AOR: 2.05, 95% CI: 1.21-3.46) were associated with greater odds of BED. Being male (AOR: 1.28, 95% CI: 1.06-1.55), of Native American (AOR: 1.60, 95% CI: 1.01-2.55) descent, having a household income less than $75,000 (AOR: 1.34, 95% CI: 1.08-1.65), or identifying as gay or bisexual (AOR for 'Yes' Response: 1.95, 95% CI: 1.31-2.91 and AOR for 'Maybe' Response: 1.81, 95% CI: 1.19-2.76) were all associated with higher odds of binge-eating behaviors.

CONCLUSION

Several sociodemographic variables showed significant associations with binge-eating behaviors, which can inform targeted screening, prevention, and education campaigns for BED among early adolescents.

Screen use while eating is associated with lower intuitive eating and higher disordered eating in Chinese adult men and women

OBJECTIVE

We aimed to explore the potential associations between screen use while eating and intuitive eating and disordered (thinness-oriented and muscularity-oriented) eating behaviors.

METHODS

Analyses included 600 Chinese adults (50% women; Mage  = 30.67, SD = 8.08) recruited online. The use of four major screen devices was captured, including cell phones, tablets, computers, and TVs. Three types of eating behaviors were examined, namely intuitive eating, thinness-oriented disordered eating, and muscularity-oriented disordered eating. Pearson correlation and hierarchical regression analyses were conducted separately for men and women to examine the sex-specific associations between screen use while eating and intuitive eating, thinness-oriented disordered eating, and muscularity-oriented disordered eating.

RESULTS

In both men and women, more screen use while eating was significantly associated with lower intuitive eating, higher thinness-oriented disordered eating, and higher muscularity-oriented disordered eating, above and beyond total screen time and social media use.

DISCUSSION

We found preliminary evidence for the significant links between screen use while eating and intuitive eating and disordered eating. Given the global increases in screen use, continued research is warranted to further explore the role of screen use while eating in the development and maintenance of intuitive eating and disordered eating.

PUBLIC SIGNIFICANCE

Much remains unknown regarding screen use while eating and eating behaviors. We found that in both Chinese men and women, more screen use while eating was significantly and uniquely associated with lower intuitive eating, higher thinness-oriented disordered eating, and higher muscularity-oriented disordered eating. Findings highlight the importance of incorporating screen use while eating in future research on intuitive eating and disordered eating.

Impact of the COVID-19 Lockdown on Children's Psychosocial Well-Being: A Cross-Sectional Study in Saudi Arabia

Background The impact of COVID-19 on children is a vital topic to cover since the quarantine lasted for months, and limited research explored this effect locally in Arab countries. We studied the impact of the COVID-19 lockdown on the psychosocial well-being of children aged 1-18 years who were living in Saudi Arabia during the time of the pandemic. Method A total of 387 participants' responses were collected using online questionnaires (valid and reliable) composed of three sections with open and close-ended questions by the child's legal guardians. This cross-sectional study was conducted in Saudi Arabia and targeted children aged 1-18 years of both genders using a convenience sampling technique. One questionnaire assessed the child's behavior and sleep pattern, while the other evaluated child's activity and social skills. We analyzed the data using Statistical Package for Social Sciences (SPSS) version 20.0 (IBM Corp., Armonk, NY). Results Half of the children were 1-6 years (196; 50.6%), and the caregivers of more than half (225; 58.2%) were mothers. Two-thirds (234; 60.5%) of the children were male. Apart from a poor appetite for food and eating (non-nutritional) junk food, which was not significant (p-value > 0.05), all other factors, behavior, sleep patterns, activity, and social skills, all other factors were significantly affected by COVID-19 (p<0.05). Conclusion This study found that the COVID-19 pandemic had a negative impact on children's psychosocial well-being. It is recommended to implement actions that aim to enhance the ability of children to cope with challenges.

Screen Time from Adolescence to Adulthood and Cardiometabolic Disease: a Prospective Cohort Study

BACKGROUND

Previous studies have analyzed the relationship between screen time and cardiometabolic disease risk factors among adolescents, but few have examined the longitudinal effects of screen time on cardiometabolic health into adulthood using nationally representative data.

OBJECTIVE

To determine prospective associations between screen time and later cardiometabolic disease over a 24-year period using a nationally representative adolescent cohort.

DESIGN

Longitudinal prospective cohort data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) collected from 1994 to 2018.

PARTICIPANTS

Adolescents aged 11-18 years old at baseline (1994-1995) followed for 24 years.

MAIN MEASURES

Predictors: screen time (five repeated measures of self-reported television and video watching from adolescence to adulthood).

OUTCOMES

Five repeated measures of body mass index (BMI); two repeated measures of waist circumference, hypertension, hyperlipidemia, and diabetes collected at 15- and 24-year follow-up exams.

KEY RESULTS

For the 7105 adolescents in the sample (49.7% female, 35.0% non-white), the baseline adolescent average screen time per day was 2.86 ± 0.08 hours per day, which generally declined through 24-year follow-up. Average BMI at baseline was 22.57 ± 0.13 kg/m2, which increased to 30.27 ± 0.18 kg/m2 through follow-up. By 24-year follow-up, 43.4% of participants had obesity, 8.4% had diabetes, 31.8% had hypertension, and 14.9% had hyperlipidemia. In mixed-effects generalized linear models, each additional hour of screen time per day was associated with 0.06 (95% CI 0.04-0.09) within-person increase in BMI. Each additional hour of screen time per day was associated with higher within-person odds of high waist circumference (AOR 1.17, 95% CI 1.09-1.26), obesity (AOR 1.09, 95% CI 1.03-1.15), and diabetes (AOR 1.17, 95% CI 1.07-1.28). Screen time was not significantly associated with hypertension or hyperlipidemia.

CONCLUSIONS

In this prospective cohort study, higher screen time in adolescence was associated with higher odds of select indicators of cardiometabolic disease in adulthood.

Adverse childhood experiences and sipping alcohol in U.S. Children: Findings from the Adolescent Brain Cognitive Development study

The objective of this study was to explore the relationship between accumulating adverse childhood experiences (ACEs) and sipping alcohol in a large, nationwide sample of 9-to-10-year-old U.S. children. We analyzed data from the Adolescent Brain Cognitive Development (ABCD) Study (2016-2018). Of 10,853 children (49.1 % female), 23.4 % reported ever sipping alcohol. A greater ACE score was associated with a higher risk of sipping alcohol. Having 4 or more ACEs placed children at 1.27 times the risk (95 % CI 1.11-1.45) of sipping alcohol compared to children with no ACEs. Among the nine distinct ACEs examined, household violence (Risk Ratio [RR] = 1.13, 95 % CI 1.04-1.22) and household alcohol abuse (RR = 1.14, 95 % CI 1.05-1.22) were associated with sipping alcohol during childhood. Our findings indicate a need for increased clinical attention to alcohol sipping among ACE-exposed children.

Screen Time and Obsessive-Compulsive Disorder Among Children 9-10 Years Old: A Prospective Cohort Study

PURPOSE

The aim of this study is to determine the prospective associations between baseline screen time and obsessive-compulsive disorder (OCD) at 2-year follow-up in a national (United States) cohort of 9- to 10-year-old children.

METHODS

We analyzed prospective cohort data from the Adolescent Brain Cognitive Development study (n = 9,208). Logistic regression analyses were used to determine the associations between baseline self-reported screen time (exposure) and OCD, based on the Kiddie Schedule for Affective Disorders and Schizophrenia (outcome), at 2-year-follow-up, adjusting for race/ethnicity, sex, household income, parent education, family history of psychopathology, and study site, excluding participants with baseline OCD.

RESULTS

The sample was 48.9% female and racially and ethnically diverse (43.5% non-White). Each additional hour of total screen time was prospectively associated with 1.05 higher odds of OCD at 2-year follow-up (95% confidence interval [CI] 1.01-1.09). For specific screen time modalities, each additional hour of playing video games (adjusted odds ratio 1.15, 95% CI 1.03-1.28) and watching videos (adjusted odds ratio 1.11, 95% CI 1.01-1.23) was associated with a subsequent OCD diagnosis.

CONCLUSION

Video games and watching videos are prospectively associated with new-onset OCD in early adolescents. Future research should examine mechanisms linking these specific screen modalities to OCD development to inform future prevention and intervention efforts.

Contemporary screen use and symptoms of muscle dysmorphia among a national sample of Canadian adolescents and young adults

PURPOSE

Screen time has been previously linked to body dissatisfaction and eating disorder behaviors. However, less is known about whether use of common forms of screen technology is associated with symptoms of muscle dysmorphia (MD), which was the aim of this study.

METHODS

Data from the Canadian Study of Adolescent Health Behaviors (N = 2538) were analyzed. Associations between hours of use of six contemporary forms of recreational screen time, as well as total screen time, and symptoms of MD were determined using multiple linear regression models, stratified by gender, and adjusting for potential confounders.

RESULTS

Among both men and women, greater total screen time and texting were associated with greater symptoms of MD; however, differences emerged across the screen time modalities by gender. Among women, video chatting was most strongly associated with symptoms of MD, while social media use was most strongly associated with symptoms of MD among men.

CONCLUSION

Findings add to the growing literature documenting the potentially harmful correlates of screen time by including MD symptomatology. Findings have important implications for health care, public health, and policymaking professionals.

LEVEL OF EVIDENCE

Level V, cross-sectional descriptive study.

Binge Eating Disorder Is a Social Justice Issue: A Cross-Sectional Mixed-Methods Study of Binge Eating Disorder Experts' Opinions

BACKGROUND

Binge eating disorder is an autonomous DSM-V diagnosis characterized by discrete rapid consumption of objectively large amounts of food without compensation, associated with loss of control and distress. Environmental factors that contribute to binge eating disorder continue to evolve. This mixed-methods cross-sectional study assessed whether there is consensus among experts in the field about environmental factors that influence adult binge eating disorder pathology.

METHODS

Fourteen expert binge eating disorder researchers, clinicians, and healthcare administrators were identified internationally based on federal funding, PubMed-indexed publications, active practice in the field, leadership in relevant societies, and/or clinical and popular press distinction. Semi-structured interviews were recorded anonymously and analyzed by ≥2 investigators using reflexive thematic analysis and quantification.

RESULTS

Identified themes included: (1) systemic issues and systems of oppression (100%); (2) marginalized and under-represented populations (100%); (3) economic precarity and food/nutrition insecurity/scarcity (93%); (4) stigmatization and its psychological impacts (93%); (5) trauma and adversity (79%); (6) interpersonal factors (64%); (7) social messaging and social media (50%); (8) predatory food industry practices (29%); and (9) research/clinical gaps and directives (100%).

CONCLUSIONS

Overall, experts call for policy changes around systemic factors that abet binge eating and for greater public education about who can have binge eating disorder. There is also a call to take and account for the narratives and life experiences of individuals with binge eating disorder to better inform our current understanding of the diagnosis and the environmental factors that impact it.

Parent-Adolescent Discrepancies in Adolescent Recreational Screen Time Reporting During the Coronavirus Disease 2019 Pandemic

OBJECTIVE

To describe the relationship between parent and adolescent reports of adolescent recreational screen time and to determine sociodemographic predictors of recreational screen time reporting differences during the coronavirus disease 2019 pandemic.

METHODS

We analyzed data from the Adolescent Brain Cognitive Development Study (N = 5335, ages 10-14) a national prospective cohort study in the United States collected in May 2020. We compared parent-reported, adolescent-reported, and a parent-adolescent differences in recreational screen time hours per day across 5 screen categories.

RESULTS

Adolescents' total recreational screen time per day was reported as 4.46 hours by parents and 3.87 hours by adolescents. Parents reported higher levels of their child's texting, video chatting, and total recreational screen time, while adolescents reported higher multiplayer gaming and social media use. Larger discrepancies in total recreational screen time were found in older, Black, and Latino/Hispanic adolescents. Larger discrepancies in total recreational screen time were also found among unmarried/unpartnered parents.

CONCLUSIONS

Given discrepancies in parent-adolescent recreational screen time reporting during the pandemic, a period of high screen use, pediatricians should encourage family discussions about adolescent media use through the development of a Family Media Use Plan. The digital media industry could provide more opportunities for parental monitoring of recreational screen time within product designs.

Compulsive exercise among college students: 5-year time trends in prevalence and demographic, substance use, and mental health correlates

PURPOSE

To provide 5-year time trends in prevalence and demographic, substance use, and mental health correlates of compulsive exercise among a national sample of college men and women.

METHODS

We analyzed 4 academic survey years (2016-2020; N = 8251) of the national (USA) Healthy Minds Study. Compulsive exercise was measured by self-report of any occurrence of "compulsive" exercise in the past 4 weeks. Unadjusted prevalence of compulsive exercise in the past 4 weeks was estimated across the 4 survey years by sex. Multiple logistic regression analyses were conducted among the pooled sample and stratified by sex to estimate the associations between compulsive exercise in the past 4 weeks and demographic, substance use, and mental health correlates.

RESULTS

Among the pooled sample, 11% (95% confidence interval [CI] 9.60-12.42%) of men and 17% (95% CI 15.86-18.24%) of women reported compulsive exercise in the past 4 weeks. Prevalence across the 4 survey years remained stable among men and women. Higher body mass index was associated with greater odds of any compulsive exercise in the past 4 weeks among men, while any sports participation was associated with greater odds of any compulsive exercise in the past 4 weeks among women. Compulsive exercise in the past 4 weeks was associated with greater odds of all mental health symptoms and illicit drug use among men and women, and higher odds of alcohol use among women.

CONCLUSION

Compulsive exercise is relatively common among college men and women and is associated with substance use behaviors and poor mental health symptoms.

LEVEL OF EVIDENCE

V, cross-sectional descriptive study.

Social epidemiology of early adolescent problematic screen use in the United States

OBJECTIVE

To determine sociodemographic correlates of problematic screen use (social media, video games, mobile phones) among a racially/ethnically and socioeconomically diverse population-based sample of 10-14-year-old early adolescents.

STUDY DESIGN

We analyzed cross-sectional data from the Adolescent Brain Cognitive Development Study (Year 2, 2018-2020; N = 8753). Multiple linear regression analyses were used to estimate associations between sociodemographic factors (age, sex, race/ethnicity, primary language, household income, parental education) and adolescent-reported problematic video game (Video Game Addiction Questionnaire), social media (Social Media Addiction Questionnaire), and mobile phone use (Mobile Phone Involvement Questionnaire).

RESULTS

Boys reported higher problematic video game use while girls reported higher problematic social media and mobile phone use. Native American, black, and Latinx adolescents reported higher scores across all problematic screen measures compared to non-Latinx white adolescents. Having unmarried/unpartnered parents was associated with higher problematic social media use. Although higher household income was generally protective against problematic video game use, these associations were weaker for black than white adolescents (p for interaction <0.05).

CONCLUSIONS

Given the sociodemographic differences in problematic screen use, digital literacy education strategies can focus on at-risk populations, encourage targeted counseling by pediatricians, and adapt family media use plans for diverse backgrounds.

IMPACT

While sociodemographic differences in screen time are documented, we examined sociodemographic differences in problematic screen use in a large, diverse sample of early adolescents in the US. Boys reported higher problematic video game use while girls reported higher problematic social media and mobile phone use. Native American, black, and Latinx adolescents reported higher scores across all problematic screen measures compared to non-Latinx white adolescents. Although higher household income was generally protective against problematic video game use, these associations were weaker for black than white adolescents. Beyond time spent on screens, pediatricians, parents, and educators should be aware of sociodemographic differences in problematic screen use.

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.

Where Do Online Games Fit into the Health Behaviour Ecology of Emerging Adults: A Scoping Review

Online video games are a common pastime for emerging adults (EAs). EAs are an age group that is of interest in health communication because habits formed during this life stage can cause or prevent disease later in life. Guided by three research questions, this scoping review identifies the current state of research into socio-ecological influences on physical activity and diet behaviours of EAs. The review also examines the role that online video games play within this behavioural ecology. In total, 112 articles were found that focused on behavioural ecological influences for physical activity and diet behaviour among EAs. Seven of these articles focused on the impact of online video games, although only in conjunction with their influence on physical activity, identifying a gap in understanding the influence of online games on diet. Results show that online video games are currently under-researched in terms of impacts on physical activity and diet despite the prevalence of the use of these games within the EA cohort.