Peng Minjin, Yuan Yang, Sun Haitong Zhe, Wu Jing, Zhu Lifeng, Zeng Yi, Zhang Yunquan, Yao Yao
Department of Outpatient, Hubei Provincial Clinical Research Center for Precision Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China.
Shenzhen Bao'an District Songgang People's Hospital, Shenzhen 518100, China; School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
J Adv Res. 2025 Aug;74:531-540. doi: 10.1016/j.jare.2025.03.044. Epub 2025 Mar 30.
Cohort evidence linking ozone (O) exposure with mortality was sparsely investigated among the elderly in low- and middle-income countries. This study aims to quantify mortality risk and burden attributed to chronic O exposure in Chinese older adults.
A total of 30,874 older adults aged ≥65 years were recruited from 3 national dynamic cohorts across 29 provincial regions in China, 2005-2018. Annual warm-season (April-September) O and year-round PM concentrations were estimated through well-validated satellite-based spatiotemporal models and were assigned to participants for each survey year. Time-dependent Fragility Cox models with random intercept for study cohort were employed to quantify O-mortality association, adjusting for demographic, behavioral, health, and environmental covariates. A counterfactual causal framework was used for assessment of O-attributable premature deaths in older adults based on exposure-response relationship derived from multi-cohort two-pollutant analysis (+PM). Years of life lost and loss of life expectancy were subsequently evaluated based on the burden estimation model by incorporating the comparative risk assessment method and reference life tables.
16,939 death events occurred during 0.16 million person-years of follow-up surveys. Each 10-ppb increase in O exposure was linked with a hazard ratio of 1.076 (95% confidence interval [CI]: 1.050, 1.102) for all-cause mortality. By achieving the counterfactual target (WHO AQG 2021) of 60 μg/m for warm-season O, 0.88 (95% CI: 0.60, 1.14) million premature deaths could be avoidable among Chinese older population in 2019, yielding an inconspicuous reduction of 0.11 million compared to the estimate in 2011 (0.99 million, 95% CI: 0.68, 1.28). O-attributable deaths amounted to 9.05 (95% CI: 6.19, 11.70) million years of life lost in 2019, equivalent to a loss of life expectancy of 0.93 (95% CI: 0.63, 1.20) years for older population in China.
Our multi-cohort analysis suggested that reducing ambient O exposure could increase the life expectancy of Chinese older adults, which may contribute to the development of healthy aging strategies and national cleaning air policies.
在低收入和中等收入国家的老年人中,关于臭氧(O)暴露与死亡率之间关系的队列证据研究较少。本研究旨在量化中国老年人长期暴露于臭氧环境下的死亡风险和负担。
2005年至2018年期间,从中国29个省级行政区的3个全国性动态队列中招募了总共30874名年龄≥65岁的老年人。通过经过充分验证的基于卫星的时空模型估算每年暖季(4月至9月)的臭氧和全年的细颗粒物浓度,并将其分配给每个调查年份的参与者。采用带有研究队列随机截距的时间依赖性脆弱性Cox模型来量化臭氧与死亡率之间的关联,并对人口统计学、行为、健康和环境协变量进行调整。基于多队列双污染物分析(+细颗粒物)得出的暴露-反应关系,使用反事实因果框架来评估老年人中可归因于臭氧的过早死亡。随后,通过纳入比较风险评估方法和参考生命表,基于负担估计模型评估寿命损失年数和预期寿命损失。
在16万人年的随访调查中发生了16939起死亡事件。臭氧暴露每增加10 ppb,全因死亡率的风险比为1.076(95%置信区间[CI]:1.050,1.102)。通过实现暖季臭氧的反事实目标(世界卫生组织2021年空气质量准则)60 μg/m³,2019年中国老年人群中可避免0.88(95%CI:0.60,1.14)百万例过早死亡,与2011年的估计值(0.99百万例,95%CI:0.68,1.28)相比,减少量不明显,为0.11百万例。2019年可归因于臭氧的死亡导致905(95%CI:619,1170)万寿命损失年,相当于中国老年人群预期寿命损失0.93(95%CI:0.63,1.20)年。
我们的多队列分析表明,降低环境中的臭氧暴露可以提高中国老年人的预期寿命,这可能有助于制定健康老龄化战略和国家清洁空气政策。