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Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents
PURPOSE: Risk behaviors are significantly impacting physical and psychological health among adolescents, resulting in a tremendous public health issue. The aim of this study is to examine the association of clustered risk behaviors with mental health and physical activity, and identify to what exten...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333302/ https://www.ncbi.nlm.nih.gov/pubmed/32620107 http://dx.doi.org/10.1186/s12955-020-01468-z |
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author | Yi, Xiangren Liu, Zongyu Qiao, Wenzhen Xie, Xiuye Yi, Nuo Dong, Xiaosheng Wang, Baozhen |
author_facet | Yi, Xiangren Liu, Zongyu Qiao, Wenzhen Xie, Xiuye Yi, Nuo Dong, Xiaosheng Wang, Baozhen |
author_sort | Yi, Xiangren |
collection | PubMed |
description | PURPOSE: Risk behaviors are significantly impacting physical and psychological health among adolescents, resulting in a tremendous public health issue. The aim of this study is to examine the association of clustered risk behaviors with mental health and physical activity, and identify to what extent the clustering of various risk behaviors is associated with psychological health and physical activity in Chinese adolescents. METHODS: Students aged 16–18 years, male 16.2 ± 1.03, female 16.3 ± 1.56, were recruited from 30 high schools to complete an online questionnaire in fall semester 2017. A structured questionnaire, 2017 state and local youth risk behavior survey was revised, modified, and translated into Chinese. Five questions were designed to assess physical activity times of the last 7 days. Symptom checklist 90 (SCL-90) was used to investigate the mental health status of the participants. Statistical analyses were done employing chi-square tests, two step cluster analysis, logistic regression. RESULT: Results illustrate that girls report a significantly higher mean of being bullied in school, electronically bullied, feeling sad or hopeless, and trying cigarette smoking. Two-step cluster analysis and regression analysis find that alcohol use, smoking and sedentary behavior have significant effect on adolescent health. Logic regression demonstrated that risk behaviors have significantly associated with mental health and physical activity in specific cluster. CONCLUSION: This study finds that a specific behavior cluster has significant impact on mental health and physical activity among adolescents. Integrating risk behaviors cluster with factors can be employed to target high-risk adolescents who have poor physical and psychosocial health. The research suggest that more effective and feasible school intervention programs can be designed to promote adolescent health-related behavior in terms of those pathways. |
format | Online Article Text |
id | pubmed-7333302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73333022020-07-06 Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents Yi, Xiangren Liu, Zongyu Qiao, Wenzhen Xie, Xiuye Yi, Nuo Dong, Xiaosheng Wang, Baozhen Health Qual Life Outcomes Research PURPOSE: Risk behaviors are significantly impacting physical and psychological health among adolescents, resulting in a tremendous public health issue. The aim of this study is to examine the association of clustered risk behaviors with mental health and physical activity, and identify to what extent the clustering of various risk behaviors is associated with psychological health and physical activity in Chinese adolescents. METHODS: Students aged 16–18 years, male 16.2 ± 1.03, female 16.3 ± 1.56, were recruited from 30 high schools to complete an online questionnaire in fall semester 2017. A structured questionnaire, 2017 state and local youth risk behavior survey was revised, modified, and translated into Chinese. Five questions were designed to assess physical activity times of the last 7 days. Symptom checklist 90 (SCL-90) was used to investigate the mental health status of the participants. Statistical analyses were done employing chi-square tests, two step cluster analysis, logistic regression. RESULT: Results illustrate that girls report a significantly higher mean of being bullied in school, electronically bullied, feeling sad or hopeless, and trying cigarette smoking. Two-step cluster analysis and regression analysis find that alcohol use, smoking and sedentary behavior have significant effect on adolescent health. Logic regression demonstrated that risk behaviors have significantly associated with mental health and physical activity in specific cluster. CONCLUSION: This study finds that a specific behavior cluster has significant impact on mental health and physical activity among adolescents. Integrating risk behaviors cluster with factors can be employed to target high-risk adolescents who have poor physical and psychosocial health. The research suggest that more effective and feasible school intervention programs can be designed to promote adolescent health-related behavior in terms of those pathways. BioMed Central 2020-07-03 /pmc/articles/PMC7333302/ /pubmed/32620107 http://dx.doi.org/10.1186/s12955-020-01468-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yi, Xiangren Liu, Zongyu Qiao, Wenzhen Xie, Xiuye Yi, Nuo Dong, Xiaosheng Wang, Baozhen Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents |
title | Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents |
title_full | Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents |
title_fullStr | Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents |
title_full_unstemmed | Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents |
title_short | Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents |
title_sort | clustering effects of health risk behavior on mental health and physical activity in chinese adolescents |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333302/ https://www.ncbi.nlm.nih.gov/pubmed/32620107 http://dx.doi.org/10.1186/s12955-020-01468-z |
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