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Fine particulate matter constituents and cause-specific mortality in China: A nationwide modelling study.

Abstract：

BACKGROUND:Fine particulate matter (with aerodynamic diameter ≤2.5 µm, PM2.5) causes huge disease burden worldwide. However, evidence is still inadequate and inconsistent on the relationships between PM2.5 constituents and mortality, especially in low resource settings. OBJECTIVES:To evaluate the impact of PM2.5 constituents on cause-specific mortality in China. METHODS:We obtained daily mortality data for 161 communities in 2011-2013 from the Disease Surveillance Point system in China. Daily concentrations of major PM2.5 constituents, including organic carbon (OC), elemental carbon (EC), sulphate (SO42-), nitrate (NO3-) and ammonium (NH4+), were estimated by using the modified Community Multiscale Air Quality model. For each community, we applied quasi-Poisson regression and polynomial distributed lag models to estimate the effects of PM2.5 constituents on cause-specific mortality. Then, the pooled effect estimates were calculated by a random-effect meta-analysis based on the restricted maximum likelihood estimation. Stratification analyses were performed by region, gender, age group and education level to identify the vulnerable populations. RESULTS:Each interquartile range change of EC, OC, SO42-, NO3- and NH4+ at lag 0-3 day was associated with increments in non-accidental mortality of 0.45% (95%CI: 0.21, 0.69), 1.43% (0.97, 1.89), 0.71% (0.28, 1.15), 0.70% (0.10, 1.30) and 0.95% (0.39, 1.51), respectively. The associations were stronger for the deaths from cardiovascular disease and myocardial infarction, the elderly, illiterates, and people living in the South region. CONCLUSIONS:Our findings suggest positive associations between PM2.5 constituents and cause-specific mortality, particularly for myocardial infarction.

journal_name

Environ Int

journal_title

Environment international

authors

Yang J,Zhou M,Li M,Yin P,Hu J,Zhang C,Wang H,Liu Q,Wang B

doi

10.1016/j.envint.2020.105927

subject

Has Abstract

pub_date

2020-10-01 00:00:00

pages

105927

eissn

0160-4120

issn

1873-6750

pii

S0160-4120(20)31882-1

journal_volume

143

pub_type

杂志文章,meta分析

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