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Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis

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  • Jie-Sheng Lin

    (Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong 99077, China)

  • Faye Ya-Fen Chan

    (Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong 99077, China)

  • Jason Leung

    (Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong 99077, China)

  • Blanche Yu

    (Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong 99077, China
    Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 99077, China)

  • Zhi-Hui Lu

    (Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 99077, China)

  • Jean Woo

    (Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 99077, China
    CUHK Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Hong Kong 99077, China)

  • Timothy Kwok

    (Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong 99077, China
    Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 99077, China)

  • Kevin Ka-Lun Lau

    (Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong 99077, China
    CUHK Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Hong Kong 99077, China)

Abstract

A large number of studies have focused on the associations between single built environment (BE) characteristics and physical activity (PA). Combinations of BE characteristics offer a more comprehensive approach to identify the BE–PA associations. We aimed to examine the BE–PA associations in a cohort of elderly Hong Kong Chinese. Between 2001 and 2003, 3944 participants (65–98 years of age) were recruited and followed for a mean of 7.8 years. BE characteristics were assessed via geographic information system. PA levels were obtained using the Physical Activity Scale for the Elderly questionnaire at baseline and three follow-ups. Latent profile analysis was first conducted to classify the BE characteristics, and linear mixed-effects models were then used to explore the longitudinal associations between the BE classes and changes in the PA levels. Three classes of BE were identified. Class 3 (characterized by greater green space and sky view factor) demonstrated a significant decline in household PA (β = −1.26, 95% confidence interval: −2.20, −0.33) during the study period, and a slower decline in walking PA (1.19 (0.42, 1.95)) compared with Class 2 (characterized by a greater proportion of residential land use). Our results indicate that BE patterns characterized by high green space and a sky view factor may help promote the walking PA level.

Suggested Citation

  • Jie-Sheng Lin & Faye Ya-Fen Chan & Jason Leung & Blanche Yu & Zhi-Hui Lu & Jean Woo & Timothy Kwok & Kevin Ka-Lun Lau, 2020. "Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis," IJERPH, MDPI, vol. 17(12), pages 1-15, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4275-:d:371715
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    References listed on IDEAS

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    4. Hirsch, Jana A. & Grengs, Joe & Schulz, Amy & Adar, Sara D. & Rodriguez, Daniel A. & Brines, Shannon J. & Diez Roux, Ana V., 2016. "How much are built environments changing, and where?: Patterns of change by neighborhood sociodemographic characteristics across seven U.S. metropolitan areas," Social Science & Medicine, Elsevier, vol. 169(C), pages 97-105.
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