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Differences in the Correlation between the Built Environment and Walking, Moderate, and Vigorous Physical Activity among the Elderly in Low- and High-Income Areas

Author

Listed:
  • Peng Zang

    (Department of Architecture and Urban Planning, Guangdong University of Technology, 729 Dongfeng E Rd, Guangzhou 510006, China)

  • Fei Xian

    (Department of Architecture and Urban Planning, Guangdong University of Technology, 729 Dongfeng E Rd, Guangzhou 510006, China)

  • Hualong Qiu

    (Department of Architecture and Urban Planning, Guangdong University of Technology, 729 Dongfeng E Rd, Guangzhou 510006, China)

  • Shifa Ma

    (Department of Architecture and Urban Planning, Guangdong University of Technology, 729 Dongfeng E Rd, Guangzhou 510006, China)

  • Hongxu Guo

    (Department of Architecture and Urban Planning, Guangdong University of Technology, 729 Dongfeng E Rd, Guangzhou 510006, China)

  • Mengrui Wang

    (Department of Architecture and Urban Planning, Guangdong University of Technology, 729 Dongfeng E Rd, Guangzhou 510006, China)

  • Linchuan Yang

    (Department of Urban and Rural Planning, School of Architecture, Southwest Jiaotong University, Chengdu 611756, China)

Abstract

Studies have proved that activity and fitness behaviors are closely related to the quality of life and health status of the elderly. However, different intensities of physical activity (PA)—walking, moderate PA, and vigorous PA—have different correlations with the built environment (BE). This study combines the high and low socioeconomic status (SES) of Guangzhou to establish two types of BE models. The physical activity time of 600 elderly people was collected from questionnaires. Through ArcGIS software, 300 m, 500 m, 800 m, and 1000 m buffer zones were identified, and the land use diversity, street design, population density, distance to destination, distance to public transportation—the five Ds of the BE—were measured. SPSS software was adopted to analyze the correlation between the BE and PA. Results: The PA of people living in low-SES areas was more dependent on the BE, whereas the correlation may be limited in high SES areas. Moreover, in low SES areas, walking was negatively correlated with street connectivity; moderate PA was positively correlated with street connectivity and the shortest distance to the subway station, but negatively correlated with the density of entertainment points of interest (POIs). Studying the relevant factors of the environment can propose better strategies to improve the initiative of the elderly to engage in PA.

Suggested Citation

  • Peng Zang & Fei Xian & Hualong Qiu & Shifa Ma & Hongxu Guo & Mengrui Wang & Linchuan Yang, 2022. "Differences in the Correlation between the Built Environment and Walking, Moderate, and Vigorous Physical Activity among the Elderly in Low- and High-Income Areas," IJERPH, MDPI, vol. 19(3), pages 1-15, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1894-:d:744352
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    References listed on IDEAS

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    1. Berke, E.M. & Koepsell, T.D. & Moudon, A.V. & Hoskins, R.E. & Larson, E.B., 2007. "Association of the built environment with physical activity and obesity in older persons," American Journal of Public Health, American Public Health Association, vol. 97(3), pages 486-492.
    2. Razieh Zandieh & Johannes Flacke & Javier Martinez & Phil Jones & Martin Van Maarseveen, 2017. "Do Inequalities in Neighborhood Walkability Drive Disparities in Older Adults’ Outdoor Walking?," IJERPH, MDPI, vol. 14(7), pages 1-22, July.
    3. Zhengying Liu & Wenli Huang & Yuan Lu & You Peng, 2021. "Older Adults’ Choice of Patterns of Outdoor Physical Activity Duration: A Mixed Multinomial Logit Model," IJERPH, MDPI, vol. 18(15), pages 1-13, August.
    4. Arlie Adkins & Carrie Makarewicz & Michele Scanze & Maia Ingram & Gretchen Luhr, 2017. "Contextualizing Walkability: Do Relationships Between Built Environments and Walking Vary by Socioeconomic Context?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(3), pages 296-314, July.
    5. Li, Shengxiao (Alex) & Duan, Hongyu (Anna) & Smith, Tony E. & Hu, Haoyu, 2021. "Time-varying accessibility to senior centers by public transit in Philadelphia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 245-258.
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    Cited by:

    1. Kong, Hui & Wu, Jingyi & Li, Pengfei, 2024. "Impacts of active mobility on individual health mediated by physical activities," Social Science & Medicine, Elsevier, vol. 348(C).
    2. Peng Zang & Hualong Qiu & Fei Xian & Linchuan Yang & Yanan Qiu & Hongxu Guo, 2022. "Nonlinear Effects of the Built Environment on Light Physical Activity among Older Adults: The Case of Lanzhou, China," IJERPH, MDPI, vol. 19(14), pages 1-15, July.

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