|Author: Yin Yang, Jinlei Qi, Zengliang Ruan, Peng Yin, Shiyu Zhang, Jiangmei Liu, Yunning Liu, Rui Li, Lijun Wang, Hualiang Lin|
Although exposure to air pollution increases the risk of premature mortality and years of life lost (YLL), the effects of daily air quality improvement to the life expectancy of respiratory diseases remained unclear. We applied a generalized additive model (GAM) to assess the associations between daily PM2.5 exposure and YLL from respiratory diseases in 96 Chinese cities during 2013ĘC2016. We further estimated the avoidable YLL, potential gains in life expectancy, and the attributable fraction by assuming daily PM2.5 concentration decrease to the air quality standards of China and World Health Organization. Regional and national results were generated by random-effects meta-analysis. A total of 861,494 total respiratory diseases and 586,962 chronic obstructive pulmonary disease (COPD) caused death from 96 Chinese cities were recorded during study period. Each 10 Ž╠g/m3 increase of PM2.5 in 3-day moving average (lag02) was associated with 0.16 (95% CI: 0.08, 0.24) years increment in life expectancy from total respiratory diseases. The highest effect was observed in Southwest region with 0.42 (95% CI: 0.22, 0.62) years increase in life expectancy. By attaining the WHO's Air Quality Guidelines, we estimated that an average of 782.09 (95% CI: 438.29, 1125.89) YLLs caused by total respiratory death in each city could be avoided, which corresponded to 1.15% (95% CI: 0.67%, 1.64%) of the overall YLLs, and 0.12 (95% CI: 0.07, 0.17) years increment in life expectancy. The results of COPD were generally consistent with total respiratory diseases. Our findings indicate that reduction in daily PM2.5 concentrations might lead to longer life expectancy from respiratory death.
Cite this article
Yang, Y., Qi, J., Ruan, Z., Yin, P., Zhang, S., Liu, J., Liu, Y., Li, R., Wang, L. and Lin, H. Changes in Life Expectancy of Respiratory Diseases from Attaining Daily PM2.5 Standard in China: A Nationwide Observational Study. The Innovation 1 (3), 100064 (2020). doi: 10.1016/j.xinn.2020.100064