Associations between residential greenness and air pollution and the incident metabolic syndrome in a Thai worker cohort

IF 3 3区 地球科学 Q2 BIOPHYSICS
Kanawat Paoin, Chanathip Pharino, Prin Vathesatogkit, Arthit Phosri, Suhaimee Buya, Kayo Ueda, Xerxes Tesoro Seposo, Thammasin Ingviya, Krittika Saranburut, Nisakron Thongmung, Teerapat Yingchoncharoen, Piyamitr Sritara
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Abstract

Increasing air pollution and decreasing exposure to greenness may contribute to the metabolic syndrome (MetS). We examined associations between long-term exposure to residential greenness and air pollution and MetS incidence in the Bangkok Metropolitan Region, Thailand. Data from 1369 employees (aged 52–71 years) from the Electricity Generating Authority of Thailand cohort from 2002 to 2017 were analyzed. The greenness level within 500 m of each participant’s residence was measured using the satellite-derived Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). The kriging approach was used to generate the average concentration of each air pollutant (PM10, CO, SO2, NO2, and O3) at the sub-district level. The average long-term exposure to air pollution and greenness for each participant was calculated over the same period of person-time. Cox proportional hazards models were used to analyze the greenness-air pollution-MetS associations. The adjusted hazard ratio of MetS was 1.42 (95% confidence interval (CI): 1.32, 1.53), 1.22 (95% CI: 1.15, 1.30), and 2.0 (95% CI: 1.82, 2.20), per interquartile range increase in PM10 (9.5 μg/m3), SO2 (0.9 ppb), and CO (0.3 ppm), respectively. We found no clear association between NDVI or EVI and the incidence of MetS. On the contrary, the incident MetS was positively associated with NDVI and EVI for participants exposed to PM10 at concentrations more than 50 μg/m3. In summary, the incidence of MetS was positively associated with long-term exposure to air pollution. In areas with high levels of air pollution, green spaces may not benefit health outcomes.

泰国工人群体中住宅绿化与空气污染和意外代谢综合征之间的关系。
增加空气污染和减少绿色暴露可能会导致代谢综合征(MetS)。我们研究了泰国曼谷大都会区长期暴露于住宅绿地和空气污染与MetS发病率之间的关系。分析了2002年至2017年泰国发电局1369名员工(年龄52-71岁)的数据。使用卫星衍生的归一化差异植被指数(NDVI)和增强植被指数(EVI)测量每个参与者住所500米范围内的绿色水平。克里格法用于生成街道一级每种空气污染物(PM10、CO、SO2、NO2和O3)的平均浓度。每个参与者在同一时间段内平均长期暴露于空气污染和绿色环境中。Cox比例危害模型用于分析绿色空气污染MetS的关联性。MetS的调整后的危险比分别为1.42(95%置信区间:1.32、1.53)、1.22(95%可信区间:1.15、1.30)和2.0(95%CI:1.82、2.20),PM10(9.5μg/m3)、SO2(0.9 ppb)和CO(0.3 ppm)的每四分位间距增加。我们没有发现NDVI或EVI与代谢综合征的发病率之间有明确的关联。相反,对于暴露于浓度超过50微克/立方米的PM10的参与者,MetS事件与NDVI和EVI呈正相关。总之,代谢综合征的发生率与长期暴露于空气污染呈正相关。在空气污染严重的地区,绿地可能对健康结果没有好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
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