Long-term exposure to PM2.5 and mortality: a national health insurance cohort study

被引:1
|
作者
Moon, Jeongmin [1 ]
Kim, Ejin [2 ]
Jang, Hyemin [1 ]
Song, Insung [1 ]
Kwon, Dohoon [1 ]
Kang, Cinoo [1 ]
Oh, Jieun [1 ]
Park, Jinah [1 ]
Kim, Ayoung [1 ]
Choi, Moonjung [3 ]
Cha, Yaerin [3 ]
Kim, Ho [1 ]
Lee, Whanhee [4 ,5 ]
机构
[1] Seoul Natl Univ, Grad Sch Publ Hlth, Dept Publ Hlth Sci, Seoul, South Korea
[2] Seoul Natl Univ, Grad Sch Publ Hlth, Inst Hlth & Environm, Seoul, South Korea
[3] Hlth Insurance Res Inst, Wonjoo, South Korea
[4] Pusan Natl Univ, Coll Informat & Biomed Engn, Sch Biomed Convergence Engn, Pusan, South Korea
[5] Res & Management Ctr Hlth Risk Particulate Matter, Seoul, South Korea
关键词
Particulate matter; mortality; cohort study; long-term exposure; generalized propensity score method; AIR-POLLUTION; HEART-FAILURE; ADULTS;
D O I
10.1093/ije/dyae140
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Previous studies with large data have been widely reported that exposure to fine particulate matter (PM2.5) is associated with all-cause mortality; however, most of these studies adopted ecological time-series designs or have included limited study areas or individuals residing in well-monitored urban areas. However, nationwide cohort studies including cause-specific mortalities with different age groups were sparse. Therefore, this study examined the association between PM2.5 and cause-specific mortality in South Korea using the nationwide cohort. Methods: A longitudinal cohort with 187 917 National Health Insurance Service-National Sample Cohort participants aged 50-79 years in enrolment between 2002 and 2019 was used. Annual average PM2.5 was collected from a machine learning-based ensemble model (a test R-2 = 0.87) as an exposure. We performed a time-varying Cox regression model to examine the association between long-term PM2.5 exposure and mortality. To reduce the potential estimation bias, we adopted generalized propensity score weighting method. Results: The association with long-term PM2.5 (2-year moving average) was prominent in mortalities related to diabetes mellitus [hazard ratio (HR): 1.03 (95% CI: 1.01, 1.06)], circulatory diseases [HR: 1.02 (95% CI: 1.00, 1.03)] and cancer [HR: 1.01 (95% CI: 1.00, 1.02)]. Meanwhile, circulatory-related mortalities were associated with a longer PM2.5 exposure period (1 or 2-year lags), whereas respiratory-related mortalities were associated with current-year PM2.5 exposure. In addition, the association with PM2.5 was more evident in people aged 50-64 years than in people aged 65-79 years, especially in heart failure-related deaths. Conclusions: This study identified the hypothesis that long-term exposure to PM2.5 is associated with mortality, and the association might be different by causes of death. Our result highlights a novel vulnerable population: the middle-aged population with risk factors related to heart failure.
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页数:10
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