Regional contextual influences on short sleep duration: a 50 universities population-based multilevel study in China.
Background: Ecological models have emphasized that short sleep duration (SSD) is influenced by both individual and environmental variables. However, few studies have considered the latter. Objectives: The present study explores the influence of urban and regional contextual factors, net of individua...
| Publicado en: | Global Health Action Vol. 11; no. 1; pp. 1 - 2 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133674130&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133674130 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16549716 829W jtl: Global Health Action issn: 16549716 maglogo: N pubinfo: dt: 2018 vid: 11 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 133674130 133674130 133674130 10.1080/16549716.2018.1442684 133674130 ppf: 1 ppct: 1 formats: tig: atl: Regional contextual influences on short sleep duration: a 50 universities population-based multilevel study in China. aug: au: Yang, Tingzhong Peng, Sihui Barnett, Ross Zhang, Chichen affil: Department of Social Medicine/Center for Tobacco Control Research, Zhejiang University School of Medicine, Hangzhou, China sug: subj: Sleep Deprivation Epidemiology Students, College Psychosocial Factors Geographic Factors Human China Questionnaires Confidence Intervals Multiple Logistic Regression Surveys Ecology Young Adult ab: Background: Ecological models have emphasized that short sleep duration (SSD) is influenced by both individual and environmental variables. However, few studies have considered the latter. Objectives: The present study explores the influence of urban and regional contextual factors, net of individual characteristics, on the prevalence of SSD among university students in China. Methods: Participants were 11,954 students, who were identified through a multistage survey sampling process conducted in 50 universities. Individual data were obtained through a self-administered questionnaire, and contextual variables were retrieved from a national database. Multilevel logistic regression models were used to examine urban and regional variations in high and moderate levels of SSD. Results: Overall the prevalence of high SSD (<6 hours sleep duration) was 2.8% (95% CI: 1.7%,3.9%) and moderate SSD (<7 hours) 24.7% (95% CI: 19.5%, 29.8%). Multilevel logistic regressions confirmed that home region gross domestic product (GDP) and the university regional unemployment rate were associated with SSD, net of other individual- and city-level covariates. Students attending high-level universities also recorded the highest levels of SSD. Of the individual characteristcs, only mother's occupation and student mental health status were related to SSD. Conclusions: The results of this study add important insights about the role of contextual factors affecting SSD among young adults and indicate the need to take into account both past, as well as present, environmental influences to control SSD. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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