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...

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Publicado en:Inquiry (00469580) pp. 1 - 8
Autores principales: Yu, Junjie, Liu, Yang, Liao, Liping, Yan, Jie, Wang, Hong
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. 2/7/2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2/7/2023
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      pub: Sage Publications Inc.
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        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
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