Residential greenness and kidney function: A cohort study of Thai employees
Issued Date
2023-03-01
Resource Type
ISSN
13538292
eISSN
18732054
Scopus ID
2-s2.0-85147871042
Pubmed ID
36791509
Journal Title
Health and Place
Volume
80
Rights Holder(s)
SCOPUS
Bibliographic Citation
Health and Place Vol.80 (2023)
Suggested Citation
Paoin K., Pharino C., Vathesatogkit P., Phosri A., Buya S., Saranburut K., Ueda K., Seposo X.T., Ingviya T., Kitiyakara C., Thongmung N., Sritara P. Residential greenness and kidney function: A cohort study of Thai employees. Health and Place Vol.80 (2023). doi:10.1016/j.healthplace.2023.102993 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/82273
Title
Residential greenness and kidney function: A cohort study of Thai employees
Author's Affiliation
Ramathibodi Hospital
Graduate School of Medicine
Graduate School of Engineering
Chulalongkorn University
Faculty of Medicine, Prince of Songkia University
Faculty of Medicine Ramathibodi Hospital, Mahidol University
Mahidol University
Japan Advanced Institute of Science and Technology
Sirindhorn International Institute of Technology, Thammasat University
Kyoto University
Prince of Songkla University
Graduate School of Medicine
Graduate School of Engineering
Chulalongkorn University
Faculty of Medicine, Prince of Songkia University
Faculty of Medicine Ramathibodi Hospital, Mahidol University
Mahidol University
Japan Advanced Institute of Science and Technology
Sirindhorn International Institute of Technology, Thammasat University
Kyoto University
Prince of Songkla University
Other Contributor(s)
Abstract
Higher 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.