Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors

作者全名："Yu, Junjie; Liu, Yang; Liao, Liping; Yan, Jie; Wang, Hong"

作者地址："[Yu, Junjie; Liu, Yang; Liao, Liping; Yan, Jie; Wang, Hong] Chongqing Med Univ, Res Ctr Med & Social Dev, Collaborat Innovat Ctr Social Risks Governance Hlt, Sch Publ Hlth, Chongqing, Peoples R China; [Wang, Hong] Chongqing Med Univ, Res Ctr Med & Social Dev, Collaborat Innovat Ctr Social Risks Governance Hlt, Chongqing 400016, Peoples R China"

通信作者："Wang, H (通讯作者)，Chongqing Med Univ, Res Ctr Med & Social Dev, Collaborat Innovat Ctr Social Risks Governance Hlt, Chongqing 400016, Peoples R China."

来源：INQUIRY-THE JOURNAL OF HEALTH CARE ORGANIZATION PROVISION AND FINANCING

ESI学科分类：SOCIAL SCIENCES, GENERAL

WOS号：WOS:000943839300001

JCR分区：Q3

影响因子：1.7

年份：2023

卷号：60

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：health promotion; risk behavior; sleep; cluster analysis; student

摘要："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."

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