{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["17(12)"],"submitter":["Bakour C"],"pubmed_abstract":["<h4>Objective</h4>This 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.<h4>Methods</h4>A 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.<h4>Results</h4>The 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).<h4>Conclusion</h4>Watching 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."],"journal":["PloS one"],"pagination":["e0278490"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9714705"],"repository":["biostudies-literature"],"pubmed_title":["Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children's Health 2016-2017."],"pmcid":["PMC9714705"],"pubmed_authors":["Bakour C","Johns-Rejano C","Crozier M","Mansuri F","Wilson R","Sappenfield W"],"additional_accession":[]},"is_claimable":false,"name":"Association between screen time and obesity in US adolescents: A cross-sectional analysis using National Survey of Children's Health 2016-2017.","description":"<h4>Objective</h4>This 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.<h4>Methods</h4>A 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.<h4>Results</h4>The 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).<h4>Conclusion</h4>Watching 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.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-21T23:19:43.631Z","creation":"2025-04-05T19:05:18.399Z"},"accession":"S-EPMC9714705","cross_references":{"pubmed":["36454793"],"doi":["10.1371/journal.pone.0278490"]}}