Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China.
Environ Sci Pollut Res Int. 2022 Jan;29(1):468-482. doi: 10.1007/s11356-021-15730-4. Epub 2021 Jul 31.
Air pollution and its negative effects on health of people have been a global concern. Many studies had found a strong association between air pollutants and risk of death, but few had focused on the effects of six pollutants and rural areas. Our study aimed to investigate the effects of six air pollutants (CO, NO, O, PM, PM, and SO) on non-accidental and respiratory deaths in rural areas of Anhui Province by adjusting for confounding factors, and to further clarify which populations were susceptible to death associated with air pollution. In the first phase of the analysis, the generalized additive models were combined with the distributed lag non-linear models to evaluate the individual effects of air pollution on death in each area. In the second stage, random-effects models were used to aggregate the associations between air pollutants and mortality risk in nine areas. Overall, six pollutants had the strongest effects on the risk of death on the lag 07 days. The associations between PM and NO and daily non-accidental deaths were strongest, with maximum RR (lag 07): 1.63 (1.37-1.88) and 1.67 (1.37-1.96). The maximum pooled effects of association between six air pollutants and RD were PM, with RR (lag 07): 1.89 (1.45-2.34). PM and PM had significant differences between the elderly and the non-elderly with respectively, RRR: 1.22 (1.04-1.41) and 1.26 (1.11-1.42). In general, we found that six air pollutants were the important risk factors for deaths (deaths from respiratory disease and non-accidental) in rural areas of Anhui Province. PM and PM had a considerable impact on the elderly.
空气污染及其对人类健康的负面影响已成为全球关注的焦点。许多研究已经发现空气污染物与死亡风险之间存在很强的关联,但很少有研究关注六种污染物和农村地区的影响。我们的研究旨在通过调整混杂因素,调查六种空气污染物(CO、NO、O、PM、PM 和 SO)对安徽省农村地区非意外和呼吸死亡的影响,并进一步澄清哪些人群易受空气污染相关死亡的影响。在分析的第一阶段,广义加性模型与分布式滞后非线性模型相结合,以评估每种污染物对每个地区死亡的个体影响。在第二阶段,随机效应模型用于汇总九个地区空气污染物与死亡率风险之间的关联。总的来说,六种污染物在滞后 07 天对死亡风险的影响最大。PM 和 NO 与非意外死亡的关联最强,最大 RR(lag 07):1.63(1.37-1.88)和 1.67(1.37-1.96)。六大气污染物与 RD 之间的最大关联效应是 PM,RR(lag 07):1.89(1.45-2.34)。PM 和 PM 在老年人和非老年人之间存在显著差异,RRR:1.22(1.04-1.41)和 1.26(1.11-1.42)。总的来说,我们发现六种空气污染物是安徽省农村地区死亡(呼吸疾病和非意外死亡)的重要危险因素。PM 和 PM 对老年人有相当大的影响。