Urbanization, ambient air pollution, and prevalence of chronic kidney disease: A nationwide cross-sectional study

被引:36
|
作者
Liang, Ze [1 ]
Wang, Wanzhou [2 ]
Wang, Yueyao [1 ]
Ma, Lin [1 ]
Liang, Chenyu [1 ]
Li, Pengfei [3 ]
Yang, Chao [4 ]
Wei, Feili [1 ]
Li, Shuangcheng [1 ]
Zhang, Luxia [4 ,5 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China
[2] Peking Univ, Sch Publ Hlth, Beijing 100191, Peoples R China
[3] Peking Univ, Adv Inst Informat Technol, Hangzhou 311215, Peoples R China
[4] Peking Univ, Peking Univ First Hosp, Inst Nephrol, Dept Med,Renal Div, Beijing 100034, Peoples R China
[5] Peking Univ, Natl Inst Hlth Data Sci, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Chronic kidney disease (CKD); Particulate matter; Nitrogen dioxide; Urbanization; Outdoor light at night; Night light index; PARTICULATE MATTER; NIGHTTIME LIGHT; TIME-SERIES; MODIS AOD; CHINA; HEALTH; URBAN; PM2.5; ASSOCIATION; MORTALITY;
D O I
10.1016/j.envint.2021.106752
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An increasing number of studies have linked ambient air pollution to chronic kidney disease (CKD) prevalence. However, its potential effect modification by urbanization has not been investigated. Based on data of 47,204 adults from the China National Survey of Chronic Kidney Disease (CKSCKD) dataset, night light satellite remote sensing data and high-resolution air pollution inversion products, the present cross-sectional study investigated the association between fine particulate matter <2.5 mm in diameter (PM2.5), nitrogen dioxide (NO2), night light index (NLI) and CKD prevalence in China, and the effect modification by urbanization characterized by administrative classification and NLI on the pollutant-health associations. Our results showed that a 10-mu g/m(3) increase in PM2.5 at 3-year moving average, a 10-mu g/m(3) increase in NO2 at 5-year moving average, and a 10-U increase in NLI at 5-year moving average were significantly associated with increased odds of CKD prevalence [OR = 1.24 (95 %CI:1.14, 1.35); OR = 1.12 (95 %CI:1.09, 1.15); OR = 1.05 (95 %CI:1.02, 1.07)]. Meanwhile, the pollutant-health associations were more apparent in medium-urbanized areas compared to low- and high-urbanized areas. For instance, a 10-mu g/m(3) increase in PM2.5 concentration at 2-year moving average was associated with increased odds of CKD in the areas with NLI level in the second [OR = 2.78 (95 %CI:1.77, 4.36)] and third quartiles [OR = 1.49 (95 %CI:1.14, 1.95)], compared to the lowest [OR = 0.96 (95% CI: 0.73, 1.26)] and highest [OR = 0.63 (95% CI: 0.39-1.02)] quartiles. PM2.5 and NO2 were associated with increased odds of CKD prevalence, especially in areas with medium NLI levels, suggesting the necessity of strengthening environmental management in medium-urbanized regions.
引用
收藏
页数:9
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