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

dc.contributor.authorPaoin K.
dc.contributor.authorPharino C.
dc.contributor.authorVathesatogkit P.
dc.contributor.authorPhosri A.
dc.contributor.authorBuya S.
dc.contributor.authorUeda K.
dc.contributor.authorSeposo X.T.
dc.contributor.authorIngviya T.
dc.contributor.authorSaranburut K.
dc.contributor.authorThongmung N.
dc.contributor.authorYingchoncharoen T.
dc.contributor.authorSritara P.
dc.contributor.otherMahidol University
dc.date.accessioned2023-09-27T18:01:38Z
dc.date.available2023-09-27T18:01:38Z
dc.date.issued2023-01-01
dc.description.abstractIncreasing 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.
dc.identifier.citationInternational Journal of Biometeorology (2023)
dc.identifier.doi10.1007/s00484-023-02554-9
dc.identifier.eissn14321254
dc.identifier.issn00207128
dc.identifier.scopus2-s2.0-85171680395
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/90220
dc.rights.holderSCOPUS
dc.subjectEnvironmental Science
dc.titleAssociations between residential greenness and air pollution and the incident metabolic syndrome in a Thai worker cohort
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85171680395&origin=inward
oaire.citation.titleInternational Journal of Biometeorology
oairecerif.author.affiliationRamathibodi Hospital
oairecerif.author.affiliationGraduate School of Medicine
oairecerif.author.affiliationGraduate School of Engineering
oairecerif.author.affiliationChulalongkorn University
oairecerif.author.affiliationFaculty of Medicine, Prince of Songkia University
oairecerif.author.affiliationFaculty of Medicine Ramathibodi Hospital, Mahidol University
oairecerif.author.affiliationMahidol University
oairecerif.author.affiliationJapan Advanced Institute of Science and Technology
oairecerif.author.affiliationSirindhorn International Institute of Technology, Thammasat University
oairecerif.author.affiliationKyoto University
oairecerif.author.affiliationPrince of Songkla University

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