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Built Environment Factors Influencing Prevalence of Hypertension at Community Level in China: The Case of Wuhan

Author

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  • Hongjie Xie

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Qiankun Wang

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Xilin Zhou

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Yiping Yang

    (Wuhan Branch of Chinese Center for Disease Control and Prevention, Wuhan 430010, China)

  • Yuwei Mao

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Xu Zhang

    (School of Resource and Environment, Wuhan University of Technology, Wuhan 430070, China)

Abstract

This paper studies the correlation between built environment factors and the prevalence of hypertension in Wuhan, a typical city in central China. Data were obtained from a regional epidemiological database, which is the 2015 Epidemiological Survey of people under 65 years in 144 communities. The prevalence of hypertension was analyzed in five components based on the WHO framework (land use, transport, accessibility, green space, and socioeconomic status). Results indicated built environment factors have significant correlations with the prevalence of hypertension ( p < 0.01). The road network density, gymnasium cost, income, medical facilities cost, walkability index, and land use mix (LUM) were statistically significant. Other indicators did not pass the significance test. The spatial models fit better than the multivariate linear model.

Suggested Citation

  • Hongjie Xie & Qiankun Wang & Xilin Zhou & Yiping Yang & Yuwei Mao & Xu Zhang, 2021. "Built Environment Factors Influencing Prevalence of Hypertension at Community Level in China: The Case of Wuhan," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5580-:d:556065
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    References listed on IDEAS

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    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Ettner, Susan L., 1996. "New evidence on the relationship between income and health," Journal of Health Economics, Elsevier, vol. 15(1), pages 67-85, February.
    3. Carroll, Suzanne J. & Paquet, Catherine & Howard, Natasha J. & Coffee, Neil T. & Taylor, Anne W. & Niyonsenga, Theo & Daniel, Mark, 2016. "Local descriptive norms for overweight/obesity and physical inactivity, features of the built environment, and 10-year change in glycosylated haemoglobin in an Australian population-based biomedical c," Social Science & Medicine, Elsevier, vol. 166(C), pages 233-243.
    4. Maria Beatrice Andreucci & Alessio Russo & Agnieszka Olszewska-Guizzo, 2019. "Designing Urban Green Blue Infrastructure for Mental Health and Elderly Wellbeing," Sustainability, MDPI, vol. 11(22), pages 1-14, November.
    5. Luc Anselin & Raymond J. G. M. Florax, 1995. "New Directions in Spatial Econometrics: Introduction," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 1, pages 3-18, Springer.
    6. LaVela, Sherri L. & Smith, Bridget & Weaver, Frances M. & Miskevics, Scott A., 2004. "Geographical proximity and health care utilization in veterans with SCI&D in the USA," Social Science & Medicine, Elsevier, vol. 59(11), pages 2387-2399, December.
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    Cited by:

    1. Bruno Jardim & Miguel de Castro Neto, 2022. "Walkability Indicators in the Aftermath of the COVID-19 Pandemic: A Systematic Review," Sustainability, MDPI, vol. 14(17), pages 1-24, September.

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