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

被引:0
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作者
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
机构
[1] Chulalongkorn University,Department of Environmental Engineering, Faculty of Engineering
[2] Mahidol University,Department of Internal Medicine, Faculty of Medicine, Ramathibodi Hospital
[3] Mahidol University,Department of Environmental Health Sciences, Faculty of Public Health
[4] Thammasat University,School of Information, Computer and Communication Technology, Sirindhorn International Institute of Technology
[5] Japan Advanced Institute of Science and Technology,School of Knowledge Science
[6] Hokkaido University,Department of Hygiene, Graduate School of Medicine
[7] Kyoto University,Department of Environmental Engineering, Graduate School of Engineering
[8] Kyoto University,Graduate School of Global Environmental Sciences
[9] Prince of Songkla University,Air Pollution and Health Effect Research Center
[10] Prince of Songkla University,Medical Data Center for Research and Innovation, Faculty of Medicine
[11] Mahidol University,Cardiovascular and Metabolic Center, Faculty of Medicine Ramathibodi Hospital
[12] Ramathibodi Hospital,Research Center, Faculty of Medicine
[13] Mahidol University,undefined
来源
International Journal of Biometeorology | 2023年 / 67卷
关键词
Greenness; Air pollution; NDVI; EVI; Metabolic syndrome;
D O I
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中图分类号
学科分类号
摘要
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.
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页码:1965 / 1974
页数:9
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