TY - JOUR
T1 - Associations between residential greenness and air pollution and the incident metabolic syndrome in a Thai worker cohort
AU - Paoin, Kanawat
AU - Pharino, Chanathip
AU - Vathesatogkit, Prin
AU - Phosri, Arthit
AU - Buya, Suhaimee
AU - Ueda, Kayo
AU - Seposo, Xerxes Tesoro
AU - Ingviya, Thammasin
AU - Saranburut, Krittika
AU - Thongmung, Nisakron
AU - Yingchoncharoen, Teerapat
AU - Sritara, Piyamitr
N1 - Publisher Copyright:
© 2023, The Author(s) under exclusive licence to International Society of Biometeorology.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
KW - Air pollution
KW - EVI
KW - Greenness
KW - Metabolic syndrome
KW - NDVI
UR - http://www.scopus.com/inward/record.url?scp=85171680395&partnerID=8YFLogxK
U2 - 10.1007/s00484-023-02554-9
DO - 10.1007/s00484-023-02554-9
M3 - Article
C2 - 37735284
AN - SCOPUS:85171680395
SN - 0020-7128
VL - 67
SP - 1965
EP - 1974
JO - International Journal of Biometeorology
JF - International Journal of Biometeorology
IS - 12
ER -