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Influence factors associated with health risk behaviors of middle school students in the poverty area of China: An observational study

We aim to investigate the status and influence factors of health risk behaviors among middle school students and explore the relationship between social support, family care, and the health risk behaviors. The study was conducted in 3 middle schools in the Fan county located in the Puyang city. Inde...

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Autores principales: Ge, Gaoqi, Huangfu, Chaoji, Ge, Min, Gao, Yuxia, Tang, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388017/
https://www.ncbi.nlm.nih.gov/pubmed/35984118
http://dx.doi.org/10.1097/MD.0000000000029922
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author Ge, Gaoqi
Huangfu, Chaoji
Ge, Min
Gao, Yuxia
Tang, Nan
author_facet Ge, Gaoqi
Huangfu, Chaoji
Ge, Min
Gao, Yuxia
Tang, Nan
author_sort Ge, Gaoqi
collection PubMed
description We aim to investigate the status and influence factors of health risk behaviors among middle school students and explore the relationship between social support, family care, and the health risk behaviors. The study was conducted in 3 middle schools in the Fan county located in the Puyang city. Independent measures were applied to assess adolescent health risk behaviors, perceive social support, and family care. Multiple regression analysis was used to analyze the main factors that affect adolescent health risk behaviors. The total scores of health risk behaviors were 53.87 ± 9.97, and all kinds of health risk behaviors were very common. The highest score was health-compromising (2.45 ± 0.43), and the lowest score was unprotected sex behaviors (1.07 ± 0.28). Multiple regression analysis showed that sex (P < .001), grade (P < .001), parent relationships (P < .001), father’s occupation (P = .035), mother’s education level (P = .011), social support (P < .001), affection (P < .001), and growth (P = .003) were the main factors of health risk behaviors, accounting for 25.3%. The health risk behaviors among middle school students in Fan county should attract the attention of education administration, schools, and parent due to the varied influencing factors. Related interventions should be conducted to reduce the severity and frequency of adolescent health risk behaviors and protect the health and growth of adolescents. In order to better analyze the health risk behaviors of middle school students, we will incorporate more influencing factors and carry out further causal analysis in the future.
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spelling pubmed-93880172022-08-23 Influence factors associated with health risk behaviors of middle school students in the poverty area of China: An observational study Ge, Gaoqi Huangfu, Chaoji Ge, Min Gao, Yuxia Tang, Nan Medicine (Baltimore) Research Article We aim to investigate the status and influence factors of health risk behaviors among middle school students and explore the relationship between social support, family care, and the health risk behaviors. The study was conducted in 3 middle schools in the Fan county located in the Puyang city. Independent measures were applied to assess adolescent health risk behaviors, perceive social support, and family care. Multiple regression analysis was used to analyze the main factors that affect adolescent health risk behaviors. The total scores of health risk behaviors were 53.87 ± 9.97, and all kinds of health risk behaviors were very common. The highest score was health-compromising (2.45 ± 0.43), and the lowest score was unprotected sex behaviors (1.07 ± 0.28). Multiple regression analysis showed that sex (P < .001), grade (P < .001), parent relationships (P < .001), father’s occupation (P = .035), mother’s education level (P = .011), social support (P < .001), affection (P < .001), and growth (P = .003) were the main factors of health risk behaviors, accounting for 25.3%. The health risk behaviors among middle school students in Fan county should attract the attention of education administration, schools, and parent due to the varied influencing factors. Related interventions should be conducted to reduce the severity and frequency of adolescent health risk behaviors and protect the health and growth of adolescents. In order to better analyze the health risk behaviors of middle school students, we will incorporate more influencing factors and carry out further causal analysis in the future. Lippincott Williams & Wilkins 2022-08-19 /pmc/articles/PMC9388017/ /pubmed/35984118 http://dx.doi.org/10.1097/MD.0000000000029922 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ge, Gaoqi
Huangfu, Chaoji
Ge, Min
Gao, Yuxia
Tang, Nan
Influence factors associated with health risk behaviors of middle school students in the poverty area of China: An observational study
title Influence factors associated with health risk behaviors of middle school students in the poverty area of China: An observational study
title_full Influence factors associated with health risk behaviors of middle school students in the poverty area of China: An observational study
title_fullStr Influence factors associated with health risk behaviors of middle school students in the poverty area of China: An observational study
title_full_unstemmed Influence factors associated with health risk behaviors of middle school students in the poverty area of China: An observational study
title_short Influence factors associated with health risk behaviors of middle school students in the poverty area of China: An observational study
title_sort influence factors associated with health risk behaviors of middle school students in the poverty area of china: an observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388017/
https://www.ncbi.nlm.nih.gov/pubmed/35984118
http://dx.doi.org/10.1097/MD.0000000000029922
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