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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2023-02-01
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| Series: | Inquiry: The Journal of Health Care Organization, Provision, and Financing |
| Online Access: | https://doi.org/10.1177/00469580231153272 |
| _version_ | 1811169939240779776 |
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| author | Junjie Yu MD Yang Liu MD Liping Liao MD Jie Yan MD Hong Wang MD |
| author_facet | Junjie Yu MD Yang Liu MD Liping Liao MD Jie Yan MD Hong Wang MD |
| author_sort | Junjie Yu MD |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T16:50:27Z |
| format | Article |
| id | doaj.art-fe7b7e04b63848fda3c57f365f93bc4c |
| institution | Directory Open Access Journal |
| issn | 0046-9580 1945-7243 |
| language | English |
| last_indexed | 2024-04-10T16:50:27Z |
| publishDate | 2023-02-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Inquiry: The Journal of Health Care Organization, Provision, and Financing |
| spelling | doaj.art-fe7b7e04b63848fda3c57f365f93bc4c2023-02-07T17:33:49ZengSAGE PublishingInquiry: The Journal of Health Care Organization, Provision, and Financing0046-95801945-72432023-02-016010.1177/00469580231153272Cluster Analysis of Sleep Time and Adolescent Health Risk BehaviorsJunjie Yu MD0Yang Liu MD1Liping Liao MD2Jie Yan MD3Hong Wang MD4School 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, ChinaSchool 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, ChinaSchool 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, ChinaSchool 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, ChinaSchool 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, ChinaAdolescents 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.https://doi.org/10.1177/00469580231153272 |
| spellingShingle | Junjie Yu MD Yang Liu MD Liping Liao MD Jie Yan MD Hong Wang MD Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors Inquiry: The Journal of Health Care Organization, Provision, and Financing |
| 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 |
| url | https://doi.org/10.1177/00469580231153272 |
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