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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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Detalles Bibliográficos
Autores principales: Yu, Junjie, Liu, Yang, Liao, Liping, Yan, Jie, Wang, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909054/
https://www.ncbi.nlm.nih.gov/pubmed/36748745
http://dx.doi.org/10.1177/00469580231153272
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author Yu, Junjie
Liu, Yang
Liao, Liping
Yan, Jie
Wang, Hong
author_facet Yu, Junjie
Liu, Yang
Liao, Liping
Yan, Jie
Wang, Hong
author_sort Yu, Junjie
collection PubMed
description 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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spelling pubmed-99090542023-02-10 Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors Yu, Junjie Liu, Yang Liao, Liping Yan, Jie Wang, Hong Inquiry Original Research 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. SAGE Publications 2023-02-07 /pmc/articles/PMC9909054/ /pubmed/36748745 http://dx.doi.org/10.1177/00469580231153272 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Yu, Junjie
Liu, Yang
Liao, Liping
Yan, Jie
Wang, Hong
Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors
title Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors
title_full Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors
title_fullStr Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors
title_full_unstemmed Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors
title_short Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors
title_sort cluster analysis of sleep time and adolescent health risk behaviors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909054/
https://www.ncbi.nlm.nih.gov/pubmed/36748745
http://dx.doi.org/10.1177/00469580231153272
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