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

被引:2
作者
Paoin, Kanawat [1 ,13 ]
Pharino, Chanathip [1 ,13 ]
Vathesatogkit, Prin [2 ]
Phosri, Arthit [3 ]
Buya, Suhaimee [4 ,5 ]
Saranburut, Krittika [6 ]
Ueda, Kayo [7 ,8 ,9 ]
Seposo, Xerxes Tesoro [7 ]
Ingviya, Thammasin [10 ,11 ]
Kitiyakara, Chagriya [2 ]
Thongmung, Nisakron [12 ]
Sritara, Piyamitr [2 ]
机构
[1] Chulalongkorn Univ, Fac Engn, Dept Environm Engn, Bangkok, Thailand
[2] Mahidol Univ, Ramathibodi Hosp, Fac Med, Dept Internal Med, Bangkok, Thailand
[3] Mahidol Univ, Fac Publ Hlth, Dept Environm Hlth Sci, Bangkok, Thailand
[4] Thammasat Univ, Sirindhorn Int Inst Technol, Sch Informat Comp & Commun Technol, Pathum Thani, Thailand
[5] Japan Adv Inst Sci & Technol, Sch Knowledge Sci, Nomi, Ishikawa, Japan
[6] Mahidol Univ, Fac Med Ramathibodi Hosp, Cardiovasc & Metab Ctr, Bangkok, Thailand
[7] Hokkaido Univ, Grad Sch Med, Dept Hyg, Sapporo, Hokkaido, Japan
[8] Kyoto Univ, Grad Sch Engn, Dept Environm Engn, Kyoto, Japan
[9] Kyoto Univ, Grad Sch Global Environm Sci, Kyoto, Japan
[10] Prince Songkla Univ, Air Pollut & Hlth Effect Res Ctr, Hat Yai, Thailand
[11] Prince Songkla Univ, Fac Med, Med Data Ctr Res & Innovat, Hat Yai, Thailand
[12] Mahidol Univ, Ramathibodi Hosp, Fac Med, Res Ctr, Bangkok, Thailand
[13] Chulalongkorn Univ, Fac Engn, Dept Environm Engn, Phayathai Rd, Bangkok 10330, Thailand
关键词
Greenness; NDVI; EVI; Kidney function; eGFR; BLOOD-PRESSURE; AIR-POLLUTION; DISEASE; ASSOCIATION; PREVALENCE; RISK; GREENSPACE; EXPOSURE; PROFILE; CHINA;
D O I
10.1016/j.healthplace.2023.102993
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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, O-3, 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 O-3, 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.
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页数:6
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