Evidence map›Paper›PMID 36757695›Full record

ArticleJAMA network open2023

Association of Physical Activity and Screen Time With Body Mass Index Among US Adolescents.

Jason M Nagata, Natalia Smith, Sana Alsamman, Christopher M Lee, Erin E Dooley, Orsolya Kiss, Kyle T Ganson, David Wing, Fiona C Baker, Kelley Pettee Gabriel

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Trial
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  6. 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 · 2026
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  9. Improving health through research: The ABCD StudyDevelopmental cognitive neuroscience · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jason M NagataDepartment of Pediatrics, University of California, San Francisco, San Francisco.
Natalia SmithDepartment of Pediatrics, University of California, San Francisco, San Francisco.
Sana AlsammanDepartment of Pediatrics, University of California, San Francisco, San Francisco.
Christopher M LeeDepartment of Pediatrics, University of California, San Francisco, San Francisco.
Erin E DooleyDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham.
Orsolya KissCenter for Health Sciences, SRI International, Menlo Park, California.
Kyle T GansonFactor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada.
David WingExercise and Physical Activity Resource Center, University of California, San Diego, La Jolla.
Fiona C BakerCenter for Health Sciences, SRI International, Menlo Park, California.
Kelley Pettee GabrielDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham.

Funding

Informing national guidelines on adolescent and young adult physical activity and sedentary behavior to prevent cardiovascular diseaseK08HL159350 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAGATA, JASON M · 2021 to 2025
$869k
NHLBI NIH HHS K08 HL159350
6 · The paper itself

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.

Indexed as

OverweightScreen TimeAdolescentBody Mass IndexCross-Sectional StudiesExerciseFemaleHumansMaleObesity

Identifiers

PMID36757695
PMCPMC9912127

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.