Department of Preventive Medicine, Dankook University College of Medicine, Cheonan, Korea.
Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Epidemiol Health. 2022;44:e2022052. doi: 10.4178/epih.e2022052. Epub 2022 Jun 9.
Although there is substantial evidence for the short-term effect of fine particulate matter (PM2.5) on daily mortality, few epidemiological studies have explored the effect of prolonged continuous exposure to high concentrations of PM2.5. This study investigated how the magnitude of the mortality effect of PM2.5 exposure is modified by persistent exposure to high PM2.5 concentrations.
We analyzed data on the daily mortality count, simulated daily PM2.5 level, mean daily temperature, and relative humidity level from 7 metropolitan cities from 2006 to 2019. Generalized additive models (GAMs) with quasi-Poisson distribution and random-effects meta-analyses were used to pool city-specific effects. To investigate the effect modification of continuous exposure to prolonged high concentrations, we applied categorical consecutive-day variables to the GAMs as effect modification terms for PM2.5.
The mortality risk increased by 0.33% (95% confidence interval [CI], 0.16 to 0.50), 0.47% (95% CI, -0.09 to 1.04), and 0.26% (95% CI, -0.08 to 0.60) for all-cause, respiratory, and cardiovascular diseases, respectively, with a 10 μg/m3 increase in PM2.5 concentration. The risk of all-cause mortality per 10 μg/m3 increase in PM2.5 on the first and fourth consecutive days significantly increased by 0.63% (95% CI, 0.20 to 1.06) and 0.36% (95% CI, 0.01 to 0.70), respectively.
We found increased risks of all-cause, respiratory, and cardiovascular mortality related to daily PM2.5 exposure on the day when exposure to high PM2.5 concentrations began and when exposure persisted for more than 4 days with concentrations of ≥35 μg/m3. Persistently high PM2.5 exposure had a stronger effect on seniors.
尽管有大量证据表明细颗粒物(PM2.5)短期暴露对每日死亡率有影响,但很少有流行病学研究探讨长时间持续暴露于高浓度 PM2.5 对死亡率的影响。本研究旨在探讨 PM2.5 暴露对死亡率的影响程度如何受到持续暴露于高浓度 PM2.5 的影响。
我们分析了 2006 年至 2019 年来自 7 个大都市的每日死亡人数、模拟的每日 PM2.5 水平、平均每日温度和相对湿度数据。采用广义加性模型(GAMs)和随机效应荟萃分析,对各城市的效应进行汇总。为了研究连续暴露于长时间高浓度的影响修饰作用,我们将连续日变量应用于 GAMs 作为 PM2.5 的影响修饰因子。
PM2.5 浓度每增加 10 μg/m3,全因、呼吸和心血管疾病的死亡率风险分别增加 0.33%(95%置信区间[CI],0.16 至 0.50)、0.47%(95% CI,-0.09 至 1.04)和 0.26%(95% CI,-0.08 至 0.60)。PM2.5 浓度增加 10 μg/m3,第一天和第四天的全因死亡率风险分别显著增加 0.63%(95% CI,0.20 至 1.06)和 0.36%(95% CI,0.01 至 0.70)。
我们发现,与每日 PM2.5 暴露相关的全因、呼吸和心血管疾病死亡率风险增加,与高 PM2.5 浓度暴露开始时以及持续 4 天以上且浓度≥35 μg/m3 的暴露有关。持续高浓度 PM2.5 暴露对老年人的影响更大。