{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T22:51:34Z","timestamp":1782773494613,"version":"3.54.5"},"reference-count":30,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2016,6,23]],"date-time":"2016-06-23T00:00:00Z","timestamp":1466640000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100001006","name":"Breast Cancer Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100001006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["DK084001"],"award-info":[{"award-number":["DK084001"]}],"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":[[2017,10]]},"abstract":"<jats:title>Summary<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Recent technologies have changed screen time. TV can be viewed anywhere, anytime. Content can be collected via digital recorders and online streaming and viewed on smartphones. Video games are no longer strictly sedentary.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>We sought to assess the unknown relations between new modes of TV viewing \u2013 recorded, online, downloaded and on hand\u2010held devices \u2013 and active video games with body mass index (BMI).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Cross\u2010sectional analysis of the 2011 wave of the Growing Up Today Study 2 cohort. We used gender\u2010specific generalized estimating equations to examine screen time and BMI among 3071 women and 2050 men aged 16\u201324\u2009years.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Among women, each hour\/day of online TV (0.47; confidence interval [CI]: 0.12, 0.82) and total non\u2010broadcast TV (0.37; CI: 0.14, 0.61) was associated with higher BMI, as was watching\u2009\u2265\u20091\/2\u2009h\u2009week<jats:sup>\u22121<\/jats:sup> of TV on hand\u2010held devices (1.04; CI: 0.32\u20131.77). Active video games were associated with BMI among women, but not after restricting to those not trying to lose\/maintain weight. Broadcast TV was associated with higher BMI (kg\u2009m<jats:sup>\u22122<\/jats:sup>) among women and men (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Among women, online TV, TV viewed on hand\u2010held devices and the sum of non\u2010broadcast TV time were associated with higher BMI. Broadcast TV was also associated with BMI in women and men.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijpo.12158","type":"journal-article","created":{"date-parts":[[2016,6,24]],"date-time":"2016-06-24T10:42:16Z","timestamp":1466764936000},"page":"406-413","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Body mass index, new modes of TV viewing and active video games"],"prefix":"10.1111","volume":"12","author":[{"given":"J.","family":"Falbe","sequence":"first","affiliation":[{"name":"Department of Nutrition Harvard T.H. Chan School of Public Health  Boston MA USA"},{"name":"Department of Epidemiology Harvard T.H. Chan School of Public Health  Boston MA USA"},{"name":"Division of Community Health and Human Development, School of Public Health University of California  Berkeley CA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"W. C.","family":"Willett","sequence":"additional","affiliation":[{"name":"Department of Nutrition Harvard T.H. Chan School of Public Health  Boston MA USA"},{"name":"Department of Epidemiology Harvard T.H. Chan School of Public Health  Boston MA USA"},{"name":"Channing Division of Network Medicine, Department of Medicine Brigham and Women's Hospital, Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B.","family":"Rosner","sequence":"additional","affiliation":[{"name":"Channing Division of Network Medicine, Department of Medicine Brigham and Women's Hospital, Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. E.","family":"Field","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Harvard T.H. Chan School of Public Health  Boston MA USA"},{"name":"Channing Division of Network Medicine, Department of Medicine Brigham and Women's Hospital, Harvard Medical School  Boston MA USA"},{"name":"Division of Adolescent Medicine Boston Children's Hospital  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2016,6,23]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"Bureau of Labor Statistics U.S. Department of Labor. (2012).American time use survey; charts by topic: leisure and sports activities. [WWW document]. URLhttp:\/\/www.bls.gov\/tus\/charts\/leisure.htm(Accessed September 9 2015)."},{"key":"e_1_2_8_3_1","unstructured":"Nielsen. (2014).Shifts in viewing: the cross\u2010platform report Q2 2014. [WWW document]. URLhttp:\/\/www.nielsen.com\/us\/en\/insights\/reports\/2014\/shifts\u2010in\u2010viewing\u2010the\u2010cross\u2010platform\u2010report\u2010q2\u20102014.html(Accessed April 11 2016)."},{"key":"e_1_2_8_4_1","volume-title":"Generation M2: Media in the Lives of 8\u2010 to 18\u2010Year\u2010Olds","author":"Rideout VJ","year":"2010"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2011.05.004"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/1479-5868-8-98"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2013-0887"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0014399"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.appet.2006.12.003"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.3945\/ajcn.114.088500"},{"key":"e_1_2_8_11_1","unstructured":"StelterB.Web Site's formula for success: TV content with fewer Ads.New York Times. October 29 2008 2008: 1.http:\/\/www.nytimes.com\/2008\/10\/29\/business\/media\/29adco.html."},{"key":"e_1_2_8_12_1","unstructured":"PQMedia. (December 4 2012).Global product placement spending Up 10% to $7.4 billion in 2011 pacing for 11% growth in 2012 as wireless technology changing consumer habits & looser regulations compel brands to invest in alternative marketing solutions. [WWW document]. URLhttp:\/\/www.pqmedia.com\/about\u2010press\u2010201212.html(Accessed March 31 2015)."},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/oby.2007.504"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1001\/archpedi.153.4.409"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1097\/00005768-200009001-00009"},{"key":"e_1_2_8_16_1","unstructured":"Federal Trade Commission.A review of food marketing to children and adolescents: follow\u2010up report. 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