ArticleInquiry : a journal of medical care organization, provision and financing
Cluster Analysis of Sleep Time and Adolescent Health Risk Behaviors.
Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- The impact of a growth mindset on adolescents' health risk behaviors: the chain mediating role of core self-evaluation and coping style.BMC psychology · 2026Article
- Association of dietary patterns and healthy diet scores with anxiety, depression, and their comorbidity among rural Chinese adults.BMC public health · 2026Article
- Sex-specific sleep profiles in Spanish adults: cross-sectional actigraphy-PSQI study with cluster analysis in Salamanca and Ávila.BMJ open · 2025Observational
- The moderating effect of family socioeconomic status in the relationship between health-related behaviors and quality of life among the Hakka older adults in Fujian, China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Managing childhood asthma with an eye toward environmental, social, and behavioral features.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2025Review
- Sleep Across the Lifespan: A Neurobehavioral Perspective.Current sleep medicine reports · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.