Cargando…

An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China

BACKGROUND: Physical subhealth directly correlates to people's work effectiveness and quality of life, so subhealth prevention has become an urgent medical problem. METHODS: A random sampling method was used to conduct a questionnaire survey of physical examinees from June to September, 2019. I...

Descripción completa

Detalles Bibliográficos
Autores principales: Jiang, Xueli, Zhang, Liping, Gao, Yufei, He, Chengsen, Tang, Zhiru, Sun, Jiangjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902138/
https://www.ncbi.nlm.nih.gov/pubmed/36755784
http://dx.doi.org/10.1155/2023/3959571
_version_ 1784883193714835456
author Jiang, Xueli
Zhang, Liping
Gao, Yufei
He, Chengsen
Tang, Zhiru
Sun, Jiangjie
author_facet Jiang, Xueli
Zhang, Liping
Gao, Yufei
He, Chengsen
Tang, Zhiru
Sun, Jiangjie
author_sort Jiang, Xueli
collection PubMed
description BACKGROUND: Physical subhealth directly correlates to people's work effectiveness and quality of life, so subhealth prevention has become an urgent medical problem. METHODS: A random sampling method was used to conduct a questionnaire survey of physical examinees from June to September, 2019. In total, 770 people participated in our study. The Pearson correlation and multiple stepwise regression analysis were used to explore the relationship among demographic variables, physical subhealth, and risk perception. Also, this study used a two-way interaction moderated multiple regression approach to examine the moderating effects of demographic variables on physical subhealth and risk perception. RESULTS: The risk perception level was negatively associated with physical health. Age, education level, and subhealth proportion in the work unit all significantly and positively influence physical health, whereas living place, subhealth duration, and marital status negatively influence physical health. Living place, average annual household income, number of employees in the work unit, and subhealth proportion in the work unit significantly and positively influence the risk perception, and only age negatively influences the risk perception. The number of children had a moderating effect on physical subhealth and risk perception (Interaction coefficient α = −0.3, P < 0.05). CONCLUSIONS: To achieve the overall improvement of public health, relevant management departments can provide targeted interventions for the public with different levels of risk perception. Also, the physical subhealth of the public can be addressed by encouraging the public to attach importance to education, improving the public living environment to build a livable city, strengthening psychological guidance and intervention for couples heading toward divorce to reduce the divorce rate, focusing on the health of work unit employees and regularly organizing employees to attend medical checkups, and actively responding to the national policy of family planning.
format Online
Article
Text
id pubmed-9902138
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-99021382023-02-07 An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China Jiang, Xueli Zhang, Liping Gao, Yufei He, Chengsen Tang, Zhiru Sun, Jiangjie J Environ Public Health Research Article BACKGROUND: Physical subhealth directly correlates to people's work effectiveness and quality of life, so subhealth prevention has become an urgent medical problem. METHODS: A random sampling method was used to conduct a questionnaire survey of physical examinees from June to September, 2019. In total, 770 people participated in our study. The Pearson correlation and multiple stepwise regression analysis were used to explore the relationship among demographic variables, physical subhealth, and risk perception. Also, this study used a two-way interaction moderated multiple regression approach to examine the moderating effects of demographic variables on physical subhealth and risk perception. RESULTS: The risk perception level was negatively associated with physical health. Age, education level, and subhealth proportion in the work unit all significantly and positively influence physical health, whereas living place, subhealth duration, and marital status negatively influence physical health. Living place, average annual household income, number of employees in the work unit, and subhealth proportion in the work unit significantly and positively influence the risk perception, and only age negatively influences the risk perception. The number of children had a moderating effect on physical subhealth and risk perception (Interaction coefficient α = −0.3, P < 0.05). CONCLUSIONS: To achieve the overall improvement of public health, relevant management departments can provide targeted interventions for the public with different levels of risk perception. Also, the physical subhealth of the public can be addressed by encouraging the public to attach importance to education, improving the public living environment to build a livable city, strengthening psychological guidance and intervention for couples heading toward divorce to reduce the divorce rate, focusing on the health of work unit employees and regularly organizing employees to attend medical checkups, and actively responding to the national policy of family planning. Hindawi 2023-01-30 /pmc/articles/PMC9902138/ /pubmed/36755784 http://dx.doi.org/10.1155/2023/3959571 Text en Copyright © 2023 Xueli Jiang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jiang, Xueli
Zhang, Liping
Gao, Yufei
He, Chengsen
Tang, Zhiru
Sun, Jiangjie
An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China
title An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China
title_full An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China
title_fullStr An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China
title_full_unstemmed An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China
title_short An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China
title_sort empirical study on physical subhealth risk perception: a physical examination data of tertiary grade-a hospitals in anhui province, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902138/
https://www.ncbi.nlm.nih.gov/pubmed/36755784
http://dx.doi.org/10.1155/2023/3959571
work_keys_str_mv AT jiangxueli anempiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT zhangliping anempiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT gaoyufei anempiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT hechengsen anempiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT tangzhiru anempiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT sunjiangjie anempiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT jiangxueli empiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT zhangliping empiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT gaoyufei empiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT hechengsen empiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT tangzhiru empiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina
AT sunjiangjie empiricalstudyonphysicalsubhealthriskperceptionaphysicalexaminationdataoftertiarygradeahospitalsinanhuiprovincechina