Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors.
Adolescents are prone to multiple health risk behaviors. These might lead to insufficient sleep, which is inconducive to adolescent growth. Therefore, this study explored the impact of a cluster of adolescent health risk behaviors on sleep time, providing a reference for designing relevant intervent...
| Publicado en: | Inquiry (00469580) pp. 1 - 8 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2/7/2023
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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=161761264&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161761264 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00469580 INQ jtl: Inquiry (00469580) issn: 00469580 maglogo: Y pubinfo: dt: 2/7/2023 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 161761264 161761264 161761264 10.1177/00469580231153272 161761264 ppf: 1 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors. aug: au: Yu, Junjie Liu, Yang Liao, Liping Yan, Jie Wang, Hong affil: School of Public Health, Chongqing Medical University, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing, China sug: subj: Sleep Duration Risk Taking Behavior In Adolescence Physical Activity Smoking Alcohol Drinking Internet Addiction Human Adolescence China Cluster Sample Surveys Questionnaires Cluster Analysis Odds Ratio Cross Sectional Studies Sedentary Behavior Multiple Logistic Regression Models, Statistical Male Female Students, Middle School Psychosocial Factors Students, High School Psychosocial Factors Data Analysis Software Chi Square Test Confidence Intervals Health Promotion Funding Source Adolescent: 13-18 years Male Female ab: Adolescents are prone to multiple health risk behaviors. These might lead to insufficient sleep, which is inconducive to adolescent growth. Therefore, this study explored the impact of a cluster of adolescent health risk behaviors on sleep time, providing a reference for designing relevant intervention measures. From November to December 2019, a stratified cluster sampling method was used to sample middle and high schools in 4 functional districts of Chongqing, China. A total of 8546 participants were selected for a questionnaire survey. Two-step clustering helped identify the health risk behavior clusters. Multivariate logistic regression models helped examine the association between the different clusters and sleep time. The rate of insufficient sleep was 65.8%. Three types of clusters were identified, namely (1) high-risk (poor) cluster (17.3%), (2) low physical activity (medium) cluster (55.1%), and (3) low-risk (good) cluster (27.6%). The high-risk and low physical activity clusters showed that the adjusted OR values of 1.471 (1.266-1.710) and 1.174 (1.052-1.310) were significantly associated with insufficient sleep (P <.001). Adolescent health risk behaviors were clustered, and different clusters had different sleep time. Schools authorities and healthcare practitioners should formulate effective intervention measures according to the characteristics of different clusters to promote healthy growth among adolescents. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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