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

Jie-Sheng Lin, Faye Ya-Fen Chan, Jason Leung, Blanche Yu, Zhi-Hui Lu, Jean Woo, Timothy Kwok and Kevin Ka-Lun Lau
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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
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
Timothy Kwok: Jockey Club Centre for Osteoporosis Care and Control, 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

IJERPH, 2020, vol. 17, issue 12, 1-15

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.

Keywords: built environment; built environment pattern; physical activity; latent profile analysis; cohort study (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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