ArticleJAMA network open2023
Association of Physical Activity and Screen Time With Body Mass Index Among US Adolescents.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
53 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Screen Time and Autism Spectrum Disorder: A Comprehensive Systematic Review of Risk, Usage, and Addiction.Journal of autism and developmental disorders · 2026Pooled it
- Pooled it
- Pooled it
- The impact of narratives and active video games among black and hispanic children with overweight and obesity: a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2025Trial
- Bidirectional associations and developmental trajectories between physical activity and weight self-stigma among adolescents with high body weight/obesity: A longitudinal study.Applied psychology. Health and well-being · 2026Article
- Engaging Medical Students in Adolescent Health Research: An Innovative Summer Rotation Model.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2026Article
- Associations of Fitbit measured physical activity and sedentary behavior with mental health in U.S. youth: a quantile regression analysis.Child and adolescent mental health · 2026Article
- Is there an association between dietary fiber intake, screen time, and physical activity among students aged 14 to 17 years?-a cross-sectional study.Translational pediatrics · 2026Article
- Improving health through research: The ABCD StudyDevelopmental cognitive neuroscience · 2026Article
- Cardiometabolic and Biochemical Indicators in Adolescent Girls According to Nutritional Status and Lifestyle.Nutrients · 2026Article
- Weight gain and brain development in the ABCD study cohort: A decade of insight and the road ahead.Developmental cognitive neuroscience · 2026Review
- Review
- Screen Time, Unhealthy Eating Behaviors, and Associated Health Risks in Children: A Narrative Review.Children (Basel, Switzerland) · 2026Review
- The Role of Fathers in the Intergenerational Transmission of Obesity.Current obesity reports · 2026Review
- Article
- Associations of Screen Time and Physical Activity With Body Mass Index in Early Adolescence: A Prospective Cohort Study.Obesity (Silver Spring, Md.) · 2026Article
- Physical-Digital and social-nonsocial extracurricular engagement: differential effects on brain development and psychological outcomes in children.Translational psychiatry · 2026Article
- Physical Activity Patterns and Cardiometabolic Risk in Children and Adolescents with Obesity: A Cross-Sectional Study.Diagnostics (Basel, Switzerland) · 2026Article
- Associations among familism, maternal parenting, and weight-related behaviors in Mexican American adolescents: a cross-sectional structural equation modeling study.BMC public health · 2026Article
- Independent and joint associations of out-of-school time moderate-to-vigorous physical activity and sedentary behavior with the risk of central obesity in children and adolescents.Archives of public health = Archives belges de sante publique · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Importance: The Physical Activity Guidelines Advisory Committee Scientific Report identified important research gaps to inform future guidance for adolescents, including limited evidence on the importance of sedentary behaviors (screen time) and their interactions with physical activity for adolescent health outcomes, including overweight and obesity. Objective: To identify the independent associations of physical activity and screen time categories, and the interactions between physical activity and screen time categories, with body mass index (BMI) and overweight and obesity in adolescents. Design, Setting, and Participants: This cross-sectional study used data from the Adolescent Brain Cognitive Development (ABCD) Study collected from September 10, 2018, to September 29, 2020. Data were analyzed from July 8 to December 20, 2022. A total of 5797 adolescents aged 10 to 14 years from 21 racially and ethnically diverse study sites across the US were included in the analysis. Exposures: Categories of total step count per day (with 1000 to 6000 steps per day indicating low, >6000 to 12 000 steps per day indicating medium, and >12 000 steps per day indicating high), as measured by a wearable digital device (Fitbit), and categories of self-reported screen time hours per day (with 0 to 4 hours per day indicating low, >4 to 8 hours per day indicating medium, and >8 hours per day indicating high). Main Outcomes and Measures: Participant BMI was calculated as weight in kilograms divided by height in meters squared and converted into sex- and age-specific percentiles in accordance with the Centers for Disease Control and Prevention growth curves and definitions. Individuals were classified as having overweight or obesity if their BMI was in the 85th percentile or higher for sex and age. Results: Among 5797 adolescents included in the analytic sample, 50.4% were male, 61.0% were White, 35.0% had overweight or obesity, and the mean (SD) age was 12.0 (0.6) years. Mean (SD) reported screen time use was 6.5 (5.4) hours per day, and mean (SD) overall step count was 9246.6 (3111.3) steps per day. In models including both screen time and step count, medium (risk ratio [RR], 1.24; 95% CI, 1.12-1.37) and high (RR, 1.29; 95% CI, 1.16-1.44) screen time categories were associated with higher overweight or obesity risk compared with the low screen time category. Medium (RR, 1.19; 95% CI, 1.06-1.35) and low (RR, 1.30; 95% CI, 1.11-1.51) step count categories were associated with higher overweight or obesity risk compared with the high step count category. Evidence of effect modification between screen time and step count was observed for BMI percentile. For instance, among adolescents with low screen use, medium step count was associated with a 1.55 higher BMI percentile, and low step count was associated with a 7.48 higher BMI percentile. However, among those with high screen use, step count categories did not significantly change the association with higher BMI percentile (low step count: 8.79 higher BMI percentile; medium step count: 8.76 higher BMI percentile; high step count: 8.26 higher BMI percentile). Conclusions and Relevance: In this cross-sectional study, a combination of low screen time and high step count was associated with lower BMI percentile in adolescents. These results suggest that high step count may not offset higher overweight or obesity risk for adolescents with high screen time, and low screen time may not offset higher overweight or obesity risk for adolescents with low step count. These findings addressed several research gaps identified by the Physical Activity Guidelines Advisory Committee Scientific Report and may be used to inform future screen time and physical activity guidance for adolescents.
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