{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T14:24:06Z","timestamp":1791469446616,"version":"4.3.4"},"reference-count":27,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2021,6,28]],"date-time":"2021-06-28T00:00:00Z","timestamp":1624838400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K23 MH115184"],"award-info":[{"award-number":["K23 MH115184"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K24DK103992"],"award-info":[{"award-number":["K24DK103992"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pediatric Obesity"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Summary<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>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\u2010based cohort of 9\u201310\u2010year\u2010old children and BMI percentile at 1\u2010year follow\u2010up.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (<jats:italic>N<\/jats:italic>\u00a0=\u00a011\u2009066). Multiple linear regression analyses were conducted to estimate associations between baseline screen time behaviours (exposure) and BMI percentile at 1\u2010year follow\u2010up, adjusting for race\/ethnicity, sex, household income, parent education, depression, binge\u2010eating disorder and baseline BMI percentile.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Each additional hour of total screen time per day was prospectively associated with a 0.22 higher BMI percentile at 1\u2010year follow\u2010up (95% CI 0.10\u20130.34) after adjusting for covariates. When examining specific screen time behaviours, each additional hour of texting (<jats:italic>B<\/jats:italic>\u00a0=\u00a00.92, 95% CI 0.29\u20131.55), video chat (<jats:italic>B<\/jats:italic>\u00a0=\u00a00.72, 95% CI 0.09\u20131.36) and video games (<jats:italic>B<\/jats:italic>\u00a0=\u00a00.42, 95% CI 0.06\u20130.78) was significantly prospectively associated with higher BMI percentile.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Screen time is prospectively associated with a higher BMI percentile 1 year later among children 9\u201310\u2009years old.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijpo.12827","type":"journal-article","created":{"date-parts":[[2021,6,28]],"date-time":"2021-06-28T11:00:29Z","timestamp":1624878029000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Contemporary screen time usage among children 9\u201310\u2010years\u2010old is associated with higher body mass index percentile at 1\u2010year follow\u2010up: A prospective cohort study"],"prefix":"10.1111","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6541-0604","authenticated-orcid":false,"given":"Jason M.","family":"Nagata","sequence":"first","affiliation":[{"name":"Division of Adolescent and Young Adult Medicine, Department of Pediatrics University of California, San Francisco  San Francisco California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Puja","family":"Iyer","sequence":"additional","affiliation":[{"name":"Division of Adolescent and Young Adult Medicine, Department of Pediatrics University of California, San Francisco  San Francisco California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan","family":"Chu","sequence":"additional","affiliation":[{"name":"Division of Adolescent and Young Adult Medicine, Department of Pediatrics University of California, San Francisco  San Francisco California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fiona C.","family":"Baker","sequence":"additional","affiliation":[{"name":"Center for Health Sciences SRI International  Menlo Park California USA"},{"name":"Department of Physiology, School of Physiology University of the Witwatersrand  Johannesburg South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelley Pettee","family":"Gabriel","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Alabama at Birmingham  Birmingham Alabama USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea K.","family":"Garber","sequence":"additional","affiliation":[{"name":"Division of Adolescent and Young Adult Medicine, Department of Pediatrics University of California, San Francisco  San Francisco California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stuart B.","family":"Murray","sequence":"additional","affiliation":[{"name":"Department of Psychiatry and Behavioral Sciences University of Southern California  Los Angeles California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kirsten","family":"Bibbins\u2010Domingo","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics University of California, San Francisco  San Francisco California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyle T.","family":"Ganson","sequence":"additional","affiliation":[{"name":"Factor\u2010Inwentash Faculty of Social Work University of Toronto  Toronto Ontario 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