Residential greenness and kidney function: A cohort study of Thai employees

dc.contributor.authorPaoin K.
dc.contributor.authorPharino C.
dc.contributor.authorVathesatogkit P.
dc.contributor.authorPhosri A.
dc.contributor.authorBuya S.
dc.contributor.authorSaranburut K.
dc.contributor.authorUeda K.
dc.contributor.authorSeposo X.T.
dc.contributor.authorIngviya T.
dc.contributor.authorKitiyakara C.
dc.contributor.authorThongmung N.
dc.contributor.authorSritara P.
dc.contributor.otherMahidol University
dc.date.accessioned2023-05-19T07:56:48Z
dc.date.available2023-05-19T07:56:48Z
dc.date.issued2023-03-01
dc.description.abstractHigher residential greenness is associated with a lower risk of chronic kidney disease, but evidence on the association between greenness exposure and kidney function has not been conducted. Using cohort data from Electricity Generating Authority of Thailand (EGAT) employees, we investigated the association between long-term exposure to greenness and kidney function using estimated glomerular filtration rate (eGFR) in Bangkok Metropolitan Region (BMR), Thailand. We analyzed data from 2022 EGAT workers (aged 25–55 years at baseline) from 2009 to 2019. The level of greenness was calculated using the satellite-derived Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI). From 2008 to 2019, the average concentration of each air pollutant (PM10, O3, NO2, SO2, and CO) at the sub-district level in BMR was generated using the Kriging method. Long-term exposure for each participant was defined as the 1-year average concentrations before the date of the physical examination in 2009, 2014, and 2019. We employed linear mixed effects models to evaluate associations of NDVI and EVI with eGFR. The robustness of the results was also tested by including air pollutants in the models. After relevant confounders were controlled, the interquartile range increase in NDVI was associated with higher eGFR [1.03% (95%CI: 0.33, 1.74)]. After PM10 and SO2 were included in the models, the associations between NDVI and eGFR became weaker. The additions of O3, NO2, and CO strengthened the associations between them. In contrast, we did not find any association between EVI and eGFR. In conclusion, there was a positive association between NDVI and eGFR, but not for EVI. Air pollutants had a significant impact on the relationship between NDVI and eGFR. Additional research is needed to duplicate this result in various settings and populations to confirm our findings.
dc.identifier.citationHealth and Place Vol.80 (2023)
dc.identifier.doi10.1016/j.healthplace.2023.102993
dc.identifier.eissn18732054
dc.identifier.issn13538292
dc.identifier.pmid36791509
dc.identifier.scopus2-s2.0-85147871042
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/82273
dc.rights.holderSCOPUS
dc.subjectSocial Sciences
dc.titleResidential greenness and kidney function: A cohort study of Thai employees
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85147871042&origin=inward
oaire.citation.titleHealth and Place
oaire.citation.volume80
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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