Association between residential greenness and metabolic syndrome in Chinese adults
Association between residential greenness and metabolic syndrome in Chinese adults
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住宅绿化与中国成年人代谢综合征的关系
DOI：
10.1016/j.envint.2019.105388
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发表时间：
2020-02-01
影响因子：
11.8
通讯作者：
Dong, Guang-Hui
中科院分区：
文献类型：
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作者：
Yang, Bo-Yi;Liu, Kang-Kang;Dong, Guang-Hui
背景资料：居住在绿色地区有几个健康益处，但迄今为止还没有研究探讨绿色对代谢综合征（MetS）的影响。我们的目的是评估住宅绿化和代谢综合征在中国的患病率之间的关联，并探讨是否空气污染和体力活动介导任何观察到的associations.Methods：我们分析了数据，从15,477名成年人谁参加了33个社区中国健康研究在2009年。我们根据中国人群的标准指南定义MetS。住宅绿化估计使用归一化差异植被指数（NDVI），土壤调节植被指数（SAVI），植被连续场（VCF）。我们使用广义线性混合模型来评估绿色和MetS之间的关联，并进行中介分析来探索潜在的关联机制。对于NDVI 500-m、SAVI（500-m）和VCF 500-m的每一个四分位数范围增加，MetS的调整优势比分别为0.81（95%置信区间：0.70-0.93）、0.80（95%置信区间：0.69-0.93）和0.91（95%置信区间：0.83-1.00）。在几项敏感性分析中，这种关联的方向和程度仍然存在。分层分析表明，年龄和家庭收入改变了这种关联，在65岁以下或家庭收入较高的参与者中观察到更大的影响估计。空气动力学直径的颗粒物
Background: Residing in greener areas has several health benefits, but no study to date has examined the effects of greenness on metabolic syndrome (MetS). We aimed to assess associations between residential greenness and MetS prevalence in China, and to explore whether air pollution and physical activity mediated any observed associations.Methods: We analyzed data from 15,477 adults who participated in the 33 Communities Chinese Health Study during 2009. We defined MetS according to standard guidelines for Chinese populations. Residential greenness was estimated using the Normalized Difference Vegetation Index (NDVI), the Soil Adjusted Vegetation Index (SAVI), and the Vegetation Continuous Field (VCF). We used generalized linear mixed models to assess the associations between greenness and MetS, and mediation analyses to explore potential mechanisms underlying the associations.Results: Higher greenness levels were associated with lower odds of MetS [e.g., for every interquartile range increase of NDVI500-m, SAVI(500-m), and VCF500-m the adjusted odds ratio of MetS was 0.81 (95% confidence interval: 0.70-0.93), 0.80 (95% confidence interval: 0.69-0.93), and 0.91 (95% confidence interval: 0.83-1.00), respectively]. The direction and the magnitude of the associations persisted in several sensitivity analyses. Stratified analyses showed that age and household income modified the associations, with greater effect estimates observed in participants younger than 65 years old or those with higher household income. Particulate matter with an aerodynamic diameter