Associations of environment and lifestyle factors with suboptimal health status: a population-based cross-sectional study in urban China

被引:16
|
作者
Xue, Yunlian [1 ,2 ]
Huang, Zhuomin [1 ,3 ]
Liu, Guihao [2 ]
Zhang, Zicheng [1 ,3 ]
Feng, Yefang [1 ,3 ]
Xu, Mengyao [1 ,3 ]
Jiang, Lijie [1 ,3 ]
Li, Wenyuan [4 ]
Xu, Jun [1 ]
机构
[1] Southern Med Univ, Nanfang Hosp, Dept Operat Management, 1023 Shatai South Rd,GD 20, Guangzhou, Guangdong, Peoples R China
[2] Guangdong Acad Med Sci, Guangdong Prov Peoples Hosp, Guangzhou, Guangdong, Peoples R China
[3] Southern Med Univ, Sch Hlth Serv Management, Guangzhou, Guangdong, Peoples R China
[4] Southern Med Univ, Nanfang Hosp, Dept Hosp Adm Off, 1023 Shatai South Rd,GD 20, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Suboptimal health status; Lifestyle behaviors; Environment; Urban residents; China; PREVENTING CHRONIC DISEASES;
D O I
10.1186/s12992-021-00736-x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 (beta = - 0.418), but the least on social SHS (beta = - 0.274). Environment factors had the largest effect on mental SHS (beta = 0.286), but the least on physical SHS (beta = 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.
引用
收藏
页数:12
相关论文
共 50 条
  • [11] Mediating effect of health consciousness in the relationship of lifestyle and suboptimal health status: a cross-sectional study involving Chinese urban residents
    Xue, Yunlian
    Liu, Guihao
    Feng, Yefang
    Xu, Mengyao
    Jiang, Lijie
    Lin, Yuanqi
    Xu, Jun
    BMJ OPEN, 2020, 10 (10):
  • [12] Associations of dietary, lifestyle, and sociodemographic factors with iron status in Chinese adults: a cross-sectional study in the China Health and Nutrition Survey
    Hu, Peter J.
    Ley, Sylvia H.
    Bhupathiraju, Shilpa N.
    Li, Yanping
    Wang, Dong D.
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2017, 105 (02): : 503 - 512
  • [13] Associations between hydration status, body composition, sociodemographic and lifestyle factors in the general population: a cross-sectional study
    Turgut Ekingen
    Cynthia Sob
    Christina Hartmann
    Frank J. Rühli
    Katarina L. Matthes
    Kaspar Staub
    Nicole Bender
    BMC Public Health, 22
  • [14] Associations between hydration status, body composition, sociodemographic and lifestyle factors in the general population: a cross-sectional study
    Ekingen, Turgut
    Sob, Cynthia
    Hartmann, Christina
    Ruhli, Frank J.
    Matthes, Katarina L.
    Staub, Kaspar
    Bender, Nicole
    BMC PUBLIC HEALTH, 2022, 22 (01)
  • [15] Lifestyle factors related to prevalent chronic disease multimorbidity: A population-based cross-sectional study
    Niebuur, Jacobien
    Vonk, Judith M.
    Du, Yihui
    de Bock, Geertruida H.
    Lunter, Gerton
    Krabbe, Paul F. M.
    Alizadeh, Behrooz Z.
    Snieder, Harold
    Smidt, Nynke
    Boezen, Marike
    Corpeleijn, Eva
    PLOS ONE, 2023, 18 (07):
  • [16] Association of lifestyle with sleep health in general population in China: a cross-sectional study
    Zheng, Yong-Bo
    Huang, Yue-Tong
    Gong, Yi-Miao
    Li, Ming-Zhe
    Zeng, Na
    Wu, Shui-Lin
    Zhang, Zhi-Bo
    Tian, Shan-Shan
    Yuan, Kai
    Liu, Xiao-Xing
    Vitiello, Michael V.
    Wang, Yu-Mei
    Wang, Yong-Xiang
    Zhang, Xiu-Jun
    Shi, Jie
    Shi, Le
    Yan, Wei
    Lu, Lin
    Bao, Yan-Ping
    TRANSLATIONAL PSYCHIATRY, 2024, 14 (01):
  • [17] Seroepidemiology of pertussis in China: A population-based, cross-sectional study
    Zhang, Zhujiazi
    Pan, Jingbin
    Chen, Meng
    Zhang, Tiegang
    Li, Juan
    Lu, Li
    VACCINE, 2021, 39 (12) : 1687 - 1692
  • [18] Urban index and lifestyle risk factors for cardiovascular diseases in China: A cross-sectional study
    Chen, Zhichong
    Liu, Menghui
    Zhang, Shaozhao
    Xiong, Zhenyu
    Zhong, Xiangbin
    Yang, Daya
    Kong, Jianqiu
    He, Xin
    Zhu, Yuan
    Hu, Xun
    Zhuang, Xiaodong
    SCIENCE PROGRESS, 2021, 104 (01)
  • [19] Influence of lifestyle on suboptimal health: Insights from a national cross-sectional survey in China
    Wang, Jie
    Wang, Yinghao
    Guo, Zheng
    Lin, Zi
    Jin, Xiangqian
    Niu, Hui
    Wu, Yibo
    Tang, Lihua
    Hou, Haifeng
    JOURNAL OF GLOBAL HEALTH, 2023, 13
  • [20] Epidemiology of lower urinary tract symptoms in a cross-sectional, population-based study The status in China
    Wang, Jian-Ye
    Liao, Limin
    Liu, Ming
    Sumarsono, Budiwan
    Cong, Min
    MEDICINE, 2018, 97 (34)