IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i3p1894-d744352.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/3/1894/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/3/1894/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luis David BERRONES-SANZ, 2022. "Walking In Mexico City: Sociodemographic Characteristics Of The Pedestrian," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 17(2), pages 16-30, May.
    2. Marie Geraldine Herrmann-Lunecke & Cristhian Figueroa-Martínez & Francisca Parra Huerta & Rodrigo Mora, 2022. "The Disabling City: Older Persons Walking in Central Neighbourhoods of Santiago de Chile," Sustainability, MDPI, vol. 14(17), pages 1-19, September.
    3. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    4. Liu, Jixiang & Xiao, Longzhu, 2023. "Non-linear relationships between built environment and commuting duration of migrants and locals," Journal of Transport Geography, Elsevier, vol. 106(C).
    5. Battista, Geoffrey A. & Manaugh, Kevin, 2018. "Stores and mores: Toward socializing walkability," Journal of Transport Geography, Elsevier, vol. 67(C), pages 53-60.
    6. Aurélie Mercier & Stéphanie Souche‐Le Corvec & Nicolas Ovtracht, 2021. "Measure of accessibility to postal services in France: A potential spatial accessibility approach applied in an urban region," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 227-249, February.
    7. Jue Wang & Mei-Po Kwan & Yanwei Chai, 2018. "An Innovative Context-Based Crystal-Growth Activity Space Method for Environmental Exposure Assessment: A Study Using GIS and GPS Trajectory Data Collected in Chicago," IJERPH, MDPI, vol. 15(4), pages 1-24, April.
    8. Zhenhua Zheng & Hong Chen & Junling Gao, 2021. "Age Differences in the Influence of Residential Environment and Behavior on the Life Quality of Older Adults: The Transfer from Physical-Environment to Social-Behavior," IJERPH, MDPI, vol. 18(3), pages 1-14, January.
    9. Fabiana R. Sousa-Mast & Arianne C. Reis & Marcelo C. Vieira & Sandro Sperandei & Luilma A. Gurgel & Uwe Pühse, 2017. "Does being an Olympic city help improve recreational resources? Examining the quality of physical activity resources in a low-income neighborhood of Rio de Janeiro," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(2), pages 263-268, March.
    10. Amer Habibullah & Nawaf Alhajaj & Ahmad Fallatah, 2022. "One-Kilometer Walking Limit during COVID-19: Evaluating Accessibility to Residential Public Open Spaces in a Major Saudi City," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    11. Zhenhua Zheng & Hong Chen & Liu Yang, 2019. "Transfer of Promotion Effects on Elderly Health with Age: From Physical Environment to Interpersonal Environment and Social Participation," IJERPH, MDPI, vol. 16(15), pages 1-15, August.
    12. Clarke, Philippa J. & Ailshire, Jennifer A. & Nieuwenhuijsen, Els R. & de Kleijn - de Vrankrijker, Marijke W., 2011. "Participation among adults with disability: The role of the urban environment," Social Science & Medicine, Elsevier, vol. 72(10), pages 1674-1684, May.
    13. Neatt, Kevin & Millward, Hugh & Spinney, Jamie, 2017. "Neighborhood walking densities: A multivariate analysis in Halifax, Canada," Journal of Transport Geography, Elsevier, vol. 61(C), pages 9-16.
    14. Folk, György, 2019. "Weal: the universal core of human well-being," MPRA Paper 97082, University Library of Munich, Germany.
    15. Perchoux, Camille & Kestens, Yan & Thomas, Frédérique & Hulst, Andraea Van & Thierry, Benoit & Chaix, Basile, 2014. "Assessing patterns of spatial behavior in health studies: Their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study)," Social Science & Medicine, Elsevier, vol. 119(C), pages 64-73.
    16. Gerlinde Grasser & Delfien Dyck & Sylvia Titze & Willibald Stronegger, 2013. "Objectively measured walkability and active transport and weight-related outcomes in adults: a systematic review," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 615-625, August.
    17. Razieh Zandieh & Javier Martinez & Johannes Flacke, 2019. "Older Adults’ Outdoor Walking and Inequalities in Neighbourhood Green Spaces Characteristics," IJERPH, MDPI, vol. 16(22), pages 1-18, November.
    18. Ka-Man Leung & Kai-Ling Ou & Pak-Kwong Chung & Cecilie Thøgersen-Ntoumani, 2021. "Older Adults’ Perceptions toward Walking: A Qualitative Study Using a Social-Ecological Model," IJERPH, MDPI, vol. 18(14), pages 1-19, July.
    19. Valkiria Amaya & Matthias Chardon & Helen Klein & Thibauld Moulaert & Nicolas Vuillerme, 2022. "What Do We Know about the Use of the Walk-along Method to Identify the Perceived Neighborhood Environment Correlates of Walking Activity in Healthy Older Adults: Methodological Considerations Related ," Sustainability, MDPI, vol. 14(18), pages 1-37, September.
    20. Pengxiang Zhao & Mei-Po Kwan & Suhong Zhou, 2018. "The Uncertain Geographic Context Problem in the Analysis of the Relationships between Obesity and the Built Environment in Guangzhou," IJERPH, MDPI, vol. 15(2), pages 1-20, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1894-:d:744352. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.