Establishing associations between residential greenness and markers of adiposity among middle-aged and older Chinese adults through multilevel structural equation models.


Journal

International journal of hygiene and environmental health
ISSN: 1618-131X
Titre abrégé: Int J Hyg Environ Health
Pays: Germany
ID NLM: 100898843

Informations de publication

Date de publication:
09 2020
Historique:
received: 11 05 2020
revised: 18 08 2020
accepted: 18 08 2020
pubmed: 6 9 2020
medline: 15 12 2021
entrez: 5 9 2020
Statut: ppublish

Résumé

Residential greenness may prevent overweight/obesity, but the matter has not been investigated among middle-aged and older adults in China. This study 1) assessed associations between residential greenness and markers of adiposity among middle-aged and older Chinese adults and 2) investigated physical activity, sedentary behaviours, particulate matter (PM) with a diameter of <2.5 μm (PM We used data from the World Health Organization's Study on Global Ageing and Adult Health (SAGE) between 2007 and 2010. Overweight/obesity and abdominal obesity were measured by body mass index and waist circumference. Exposure to neighbourhood greenness was measured by the normalized difference vegetation index (NDVI). Multilevel structural equation models were fitted to investigate the associations between neighbourhood greenness, the four potential mediators, and the prevalence of overweight/obesity and central obesity. The results showed that greenness was inversely associated with the odds of overweight/obesity (odds = 0.73, 95% confidence interval (CI) 0.58-0.92) and abdominal adiposity (odds = 0.55, 95% CI 0.33-0.91). The greenness-overweight/obesity association varied significantly by sex and age, and the greenness-central obesity varied significantly by sex, age, and education. We found some indication that PM Exposure to higher levels of residential greenness was associated with lower odds of overweight/obesity and abdominal obesity among middle-aged and older Chinese adults. However, underlying mechanisms explaining these associations remain unclear requiring longitudinal studies and natural experiments.

Identifiants

pubmed: 32889359
pii: S1438-4639(20)30552-6
doi: 10.1016/j.ijheh.2020.113606
pii:
doi:

Substances chimiques

Particulate Matter 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

113606

Informations de copyright

Copyright © 2020 Elsevier GmbH. All rights reserved.

Auteurs

Baishi Huang (B)

School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China; Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China.

Ye Liu (Y)

School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China; Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-Sen University, Guangzhou, China. Electronic address: liuye25@mail.sysu.edu.cn.

Yongxin Chen (Y)

School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China.

Hong Wei (H)

School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China.

Guanghui Dong (G)

School of Public Health, Sun Yat-Sen University, Guangzhou, China.

Marco Helbich (M)

Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands.

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