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Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China
INTRODUCTION: Suboptimal health status (SHS), an intermediate state between chronic disease and health, is characterized by chronic fatigue, non-specific pain, headaches, dizziness, anxiety, depression, and functional system disorders with a high prevalence worldwide. Although some lifestyle factors...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320221/ https://www.ncbi.nlm.nih.gov/pubmed/34321024 http://dx.doi.org/10.1186/s12992-021-00736-x |
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author | Xue, Yunlian Huang, Zhuomin Liu, Guihao Zhang, Zicheng Feng, Yefang Xu, Mengyao Jiang, Lijie Li, Wenyuan Xu, Jun |
author_facet | Xue, Yunlian Huang, Zhuomin Liu, Guihao Zhang, Zicheng Feng, Yefang Xu, Mengyao Jiang, Lijie Li, Wenyuan Xu, Jun |
author_sort | Xue, Yunlian |
collection | PubMed |
description | INTRODUCTION: Suboptimal health status (SHS), an intermediate state between chronic disease and health, is characterized by chronic fatigue, non-specific pain, headaches, dizziness, anxiety, depression, and functional system disorders with a high prevalence worldwide. Although some lifestyle factors (e.g. smoking, alcohol consumption, physical exercise) and environmental factors (e.g. air quality, noise, living conditions) have already been studied, few studies can comprehensively illustrate the associations of lifestyle and environment factors with general, physical, mental, and social SHS. METHODS: A cross-sectional study was conducted among 6750 urban residents aged 14 years or over in five random cities from September 2017 to September 2018 through face-to-face questionnaires. There were 5881 valid questionnaires with a response rate of 87%. A general linear model and structural equation model were developed to quantify the effects of lifestyle behaviors and environment factors on SHS. RESULTS: The detection rates of general, physical, mental, and social SHS were 66.7, 67.0, 65.5, and 70.0%, respectively. Good lifestyle behaviors and favorable environment factors positively affected SHS (P < 0.001). Lifestyle behaviors had the largest effect on physical SHS (β = − 0.418), but the least on social SHS (β = − 0.274). Environment factors had the largest effect on mental SHS (β = 0.286), but the least on physical SHS (β = 0.225). CONCLUSIONS: Lifestyle behaviors and environment factors were important influencing factors of SHS. Physical SHS was more associated with lifestyle. Lifestyle and environment were similarly associated with mental and social SHS. |
format | Online Article Text |
id | pubmed-8320221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83202212021-07-30 Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China Xue, Yunlian Huang, Zhuomin Liu, Guihao Zhang, Zicheng Feng, Yefang Xu, Mengyao Jiang, Lijie Li, Wenyuan Xu, Jun Global Health Research INTRODUCTION: Suboptimal health status (SHS), an intermediate state between chronic disease and health, is characterized by chronic fatigue, non-specific pain, headaches, dizziness, anxiety, depression, and functional system disorders with a high prevalence worldwide. Although some lifestyle factors (e.g. smoking, alcohol consumption, physical exercise) and environmental factors (e.g. air quality, noise, living conditions) have already been studied, few studies can comprehensively illustrate the associations of lifestyle and environment factors with general, physical, mental, and social SHS. METHODS: A cross-sectional study was conducted among 6750 urban residents aged 14 years or over in five random cities from September 2017 to September 2018 through face-to-face questionnaires. There were 5881 valid questionnaires with a response rate of 87%. A general linear model and structural equation model were developed to quantify the effects of lifestyle behaviors and environment factors on SHS. RESULTS: The detection rates of general, physical, mental, and social SHS were 66.7, 67.0, 65.5, and 70.0%, respectively. Good lifestyle behaviors and favorable environment factors positively affected SHS (P < 0.001). Lifestyle behaviors had the largest effect on physical SHS (β = − 0.418), but the least on social SHS (β = − 0.274). Environment factors had the largest effect on mental SHS (β = 0.286), but the least on physical SHS (β = 0.225). CONCLUSIONS: Lifestyle behaviors and environment factors were important influencing factors of SHS. Physical SHS was more associated with lifestyle. Lifestyle and environment were similarly associated with mental and social SHS. BioMed Central 2021-07-28 /pmc/articles/PMC8320221/ /pubmed/34321024 http://dx.doi.org/10.1186/s12992-021-00736-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Xue, Yunlian Huang, Zhuomin Liu, Guihao Zhang, Zicheng Feng, Yefang Xu, Mengyao Jiang, Lijie Li, Wenyuan Xu, Jun Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China |
title | Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China |
title_full | Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China |
title_fullStr | Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China |
title_full_unstemmed | Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China |
title_short | Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China |
title_sort | associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320221/ https://www.ncbi.nlm.nih.gov/pubmed/34321024 http://dx.doi.org/10.1186/s12992-021-00736-x |
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