{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T00:17:00Z","timestamp":1792023420863,"version":"4.4.0"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,12,31]],"date-time":"2019-12-31T00:00:00Z","timestamp":1577750400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2019,12,31]],"date-time":"2019-12-31T00:00:00Z","timestamp":1577750400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eat Weight Disord"],"published-print":{"date-parts":[[2021,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Purpose<\/jats:title>\n                <jats:p>Approximately 70% of adults in Mexico are overweight or obese. Unhealthy lifestyle behaviors are also prevalent. We examined the association of three lifestyle behaviors with body mass index (BMI) categories in adults from Mexico.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>We used publicly available data from the ENSANUT 2016 survey (<jats:italic>n<\/jats:italic>\u2009=\u20096419). BMI was used to categorize participants. Differences in sleep duration, suffering from symptoms of insomnia, TV watching time, time in front of any screen, vigorous physical activity (yes vs no), moderate physical activity (&gt;\u200930\u00a0min\/day\u2014yes vs. no) and walking (&gt;\u200960\u00a0min\/day\u2014yes vs. no) were compared across BMI groups using adjusted linear and logistic regression analyses.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Thirty-nine percent of participants were overweight and 37% obese. Time in front of TV, in front of any screen, sleep duration and physical activity were significantly associated with overweight and obesity. Compared to normal weight participants, participants in the obese II category spend on average 0.60\u00a0h\/day (95% CI 0.36\u20130.84, <jats:italic>p<\/jats:italic>\u2009=\u20090.001) and participants in the obese III category 0.54\u00a0h\/day (95% CI 0.19\u20130.89, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) more in front of any screen; participants in the obese II category reported 0.55\u00a0h\/day less sleep (95% CI\u2009\u2212\u20090.67 to\u2009\u2212\u20090.43, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001); participants in the obese III category were less likely to engage in vigorous activity (OR\u2009=\u20090.60, 95% CI 0.43\u20130.84, <jats:italic>p<\/jats:italic>\u2009\u2264\u20090.003), or walking (OR\u2009=\u20090.65, 95% CI 0.49\u20130.88, <jats:italic>p<\/jats:italic>\u2009=\u20090.005).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Screen time, sleeping hours, and physical activity were associated with overweight and obesity. However, these associations were not consistent across all BMI categories. Assuming established causal connections, overweight individuals and individuals with obesity would benefit from reduced screen time and engaging in moderate\/vigorous physical activity.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Level of evidence<\/jats:title>\n                <jats:p>Level III: observational case-control analytic study.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s40519-019-00841-2","type":"journal-article","created":{"date-parts":[[2019,12,31]],"date-time":"2019-12-31T08:02:36Z","timestamp":1577779356000},"page":"169-179","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Association of sleep, screen time and physical activity with overweight and obesity in Mexico"],"prefix":"10.1007","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3201-1743","authenticated-orcid":false,"given":"Spyros","family":"Kolovos","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0488-9631","authenticated-orcid":false,"given":"Aura Cecilia","family":"Jimenez-Moreno","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4723-5128","authenticated-orcid":false,"given":"Rafael","family":"Pinedo-Villanueva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0228-7274","authenticated-orcid":false,"given":"Sophie","family":"Cassidy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9825-8725","authenticated-orcid":false,"given":"Gerardo A.","family":"Zavala","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,12,31]]},"reference":[{"issue":"9945","key":"841_CR1","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1016\/S0140-6736(14)60460-8","volume":"384","author":"M Ng","year":"2014","unstructured":"Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang J-C, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DFJ, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SEAH, Kengne AP, Khader YS, Khang Y-H, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KMV, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJC, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van de Vijver S, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon S-J, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJL, Gakidou E (2014) Global, regional, and national prevalence of overweight and obesity in children and adults during 1980\u20132013: a systematic analysis for the Global Burden of Disease Study 2013. 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