{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T23:31:40Z","timestamp":1790638300871,"version":"4.1.0"},"reference-count":37,"publisher":"Wiley","issue":"S1","license":[{"start":{"date-parts":[[2016,2,16]],"date-time":"2016-02-16T00:00:00Z","timestamp":1455580800000},"content-version":"vor","delay-in-days":46,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004963","name":"Seventh Framework Programme","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004963","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Obesity Reviews"],"published-print":{"date-parts":[[2016,1]]},"abstract":"<jats:title>Summary<\/jats:title><jats:sec><jats:label\/><jats:p>Too much sitting, and both short and long sleep duration are associated with obesity, but little is known on the nature of the relations between these behaviours. We therefore examined the associations between sleep duration and time spent sitting in adults across five urban regions in Europe.<\/jats:p><\/jats:sec><jats:sec><jats:label\/><jats:p>We used cross\u2010sectional survey data from 6,037 adults (mean age 51.9\u2009years (SD 16.4), 44.0% men) to assess the association between self\u2010reported short (&lt;6\u2009h per night), normal (6\u20138\u2009h per night) and long (&gt;8\u2009h per night) sleep duration with self\u2010report total time spent sitting, time spent sitting at work, during transport, during leisure and while watching screens. The multivariable multilevel linear regression models were tested for moderation by urban region, age, gender, education and weight status. Because short sleepers have more awake time to be sedentary, we also used the percentage of awake time spent sedentary as an outcome.<\/jats:p><\/jats:sec><jats:sec><jats:label\/><jats:p>Short sleepers had 26.5\u2009min\u2009day<jats:sup>\u22121<\/jats:sup> more sedentary screen time, compared with normal sleepers (CI 5.2; 47.8). No statistically significant associations were found with total or other domains of sedentary behaviour, and there was no evidence for effect modification. Long sleepers spent 3.2% higher proportion of their awake time sedentary compared with normal sleepers.<\/jats:p><\/jats:sec><jats:sec><jats:label\/><jats:p>Shorter sleep was associated with increased screen time in a sample of European adults, irrespective of urban region, gender, age, educational level and weight status. Experimental studies are needed to assess the prospective relation between sedentary (screen) time and sleep duration.<\/jats:p><\/jats:sec>","DOI":"10.1111\/obr.12381","type":"journal-article","created":{"date-parts":[[2016,2,16]],"date-time":"2016-02-16T12:12:56Z","timestamp":1455624776000},"page":"62-67","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":77,"title":["The relation between sleep duration and sedentary behaviours in European adults"],"prefix":"10.1111","volume":"17","author":[{"given":"J.","family":"Lakerveld","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research VU Medical Center Amsterdam  Amsterdam The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. 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Sciences Ghent University  Ghent Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.","family":"B\u00e1rdos","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, Faculty of Public Health University of Debrecen  Debrecen Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"I.","family":"De Bourdeaudhuij","sequence":"additional","affiliation":[{"name":"Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences Ghent University  Ghent Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.","family":"Charreire","sequence":"additional","affiliation":[{"name":"Lab\u2010Urba, UPEC, Urban Institut of Paris Paris Est University  Cr\u00e9teil France"},{"name":"Equipe de Recherche en Epid\u00e9miologie Nutritionnelle (EREN) Universit\u00e9 Paris 13, Centre de Recherche en Epid\u00e9miologie et Statistiques Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cit\u00e9  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