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通过多层次结构方程模型建立中国中老年成年人居住环境绿化程度与肥胖指标之间的关联。

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

作者信息

Huang Baishi, Liu Ye, Chen Yongxin, Wei Hong, Dong Guanghui, Helbich Marco

机构信息

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.

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.

出版信息

Int J Hyg Environ Health. 2020 Sep;230:113606. doi: 10.1016/j.ijheh.2020.113606. Epub 2020 Sep 1.

DOI:10.1016/j.ijheh.2020.113606
PMID:32889359
Abstract

OBJECTIVES

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) concentrations, and perennial mean temperature as mediators of the associations.

METHODS

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.

RESULTS

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 concentrations had a suppressive effect on the greenness-adiposity associations. There was no evidence that physical activity, sedentary behaviours, and perennial mean temperature mediated the associations between neighbourhood greenness and markers of adiposity.

CONCLUSIONS

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.

摘要

目的

居住环境的绿化程度可能预防超重/肥胖,但在中国中老年人群中尚未对此进行研究。本研究1)评估中国中老年成年人居住环境绿化程度与肥胖指标之间的关联,2)调查身体活动、久坐行为、直径<2.5μm的颗粒物(PM)浓度以及常年平均温度作为这些关联的中介因素。

方法

我们使用了世界卫生组织全球老龄化与成人健康研究(SAGE)2007年至2010年的数据。通过体重指数和腰围测量超重/肥胖和腹型肥胖。通过归一化植被指数(NDVI)测量邻里绿化程度。采用多水平结构方程模型研究邻里绿化程度、四个潜在中介因素与超重/肥胖和中心性肥胖患病率之间的关联。

结果

结果显示,绿化程度与超重/肥胖几率呈负相关(几率=0.73,95%置信区间(CI)0.58 - 0.92)以及与腹部肥胖呈负相关(几率=0.55,95%CI 0.33 - 0.91)。绿化程度与超重/肥胖的关联在性别和年龄上有显著差异,绿化程度与中心性肥胖的关联在性别、年龄和教育程度上有显著差异。我们发现一些迹象表明PM浓度对绿化程度与肥胖的关联有抑制作用。没有证据表明身体活动、久坐行为和常年平均温度介导了邻里绿化程度与肥胖指标之间的关联。

结论

在中国中老年成年人中,接触较高水平的居住绿化程度与较低的超重/肥胖和腹部肥胖几率相关。然而,解释这些关联的潜在机制仍不清楚,需要纵向研究和自然实验。

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