Evidence map›Paper›PMID 36454793›Full record

ArticlePloS one2022

Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children's Health 2016-2017.

Chighaf Bakour, Fahad Mansuri, Courtney Johns-Rejano, Michelle Crozier, Ronee Wilson, William Sappenfield

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Chighaf BakourCollege of Public Health, University of South Florida, Tampa, Florida, United States of America.ORCID 0000-0002-0096-2870
Fahad MansuriCollege of Public Health, University of South Florida, Tampa, Florida, United States of America.ORCID 0000-0001-5904-1331
Courtney Johns-RejanoMorsani College of Medicine, University of South Florida, Tampa, Florida, United States of America.
Michelle CrozierCollege of Public Health, University of South Florida, Tampa, Florida, United States of America.
Ronee WilsonCollege of Public Health, University of South Florida, Tampa, Florida, United States of America.
William SappenfieldCollege of Public Health, University of South Florida, Tampa, Florida, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study examines the association between time spent watching TV, playing video games, using a computer or handheld device (screen time), and BMI among U.S. adolescents, and potential effect modification of these associations by sex, sleep duration, and physical activity.

methodsA secondary analysis of 10-17-year-old participants in the 2016-2017 National Survey of Children's Health was conducted. Multivariable logistic regression was used to examine the association between parent-reported screen time and BMI categories and effect modification by sex, sleep duration and physical activity.

resultsThe analysis included 29,480 adolescents (49.4% female). Those with ≥1 hour (vs <1 hour) of TV/video games per day were more likely to be overweight/obese (adjusted Odds Ratio (aOR) 1-3 hours = 1.4; 95% Confidence Interval (CI)1.19, 1.65; aOR ≥4 hours = 2.19; 95% CI 1.73, 2.77). This association was stronger in adolescents who did not meet the guidelines for physical activity (aOR ≥ 4 hours = 3.04; 95% CI: 2.1, 4.4) compared with those who did (aOR ≥ 4 hours = 1.64; 95% CI: 0.72, 3.72). Using computers/handheld devices was associated with a smaller increase in odds of overweight/obesity (aOR ≥4 hours = 1.53; 95% CI:1.19, 1.97).

conclusionWatching TV or playing video games for ≥1 hour per day is associated with obesity in adolescents who did not meet the guidelines for physical activity. Using computers or handheld devices seems to have a weaker association with BMI compared with TV/video games.

Indexed as

Child HealthScreen TimeAdolescentChildCross-Sectional StudiesFemaleHumansMaleObesityOverweight

Identifiers

PMID36454793
PMCPMC9714705

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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.