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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

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 coho...

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Autores principales: Lin, Jie-Sheng, Chan, Faye Ya-Fen, Leung, Jason, Yu, Blanche, Lu, Zhi-Hui, Woo, Jean, Kwok, Timothy, Lau, Kevin Ka-Lun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344458/
https://www.ncbi.nlm.nih.gov/pubmed/32549289
http://dx.doi.org/10.3390/ijerph17124275
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author Lin, Jie-Sheng
Chan, Faye Ya-Fen
Leung, Jason
Yu, Blanche
Lu, Zhi-Hui
Woo, Jean
Kwok, Timothy
Lau, Kevin Ka-Lun
author_facet Lin, Jie-Sheng
Chan, Faye Ya-Fen
Leung, Jason
Yu, Blanche
Lu, Zhi-Hui
Woo, Jean
Kwok, Timothy
Lau, Kevin Ka-Lun
author_sort Lin, Jie-Sheng
collection PubMed
description 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.
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spelling pubmed-73444582020-07-14 Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis Lin, Jie-Sheng Chan, Faye Ya-Fen Leung, Jason Yu, Blanche Lu, Zhi-Hui Woo, Jean Kwok, Timothy Lau, Kevin Ka-Lun Int J Environ Res Public Health Article 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. MDPI 2020-06-15 2020-06 /pmc/articles/PMC7344458/ /pubmed/32549289 http://dx.doi.org/10.3390/ijerph17124275 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lin, Jie-Sheng
Chan, Faye Ya-Fen
Leung, Jason
Yu, Blanche
Lu, Zhi-Hui
Woo, Jean
Kwok, Timothy
Lau, Kevin Ka-Lun
Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis
title Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis
title_full Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis
title_fullStr Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis
title_full_unstemmed Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis
title_short Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis
title_sort longitudinal association of built environment pattern with physical activity in a community-based cohort of elderly hong kong chinese: a latent profile analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344458/
https://www.ncbi.nlm.nih.gov/pubmed/32549289
http://dx.doi.org/10.3390/ijerph17124275
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