Cohort-based long-term ozone exposure-associated mortality risks with adjusted metrics: A systematic review and meta-analysis

Sun，Haitong Zhe1,2; Yu，Pei3; Lan，Changxin4,5; Wan，Michelle W.L.1; Hickman，Sebastian1; Murulitharan，Jayaprakash1; Shen，Huizhong6; Yuan，Le1; Guo，Yuming3; Archibald，Alexander T.1,7

2022-05-10

10.1016/j.xinn.2022.100246

The Innovation   影响因子和分区

2666-6758

2666-6758

Long-term ozone (O) exposure may lead to non-communicable diseases and increase mortality risk. However, cohort-based studies are relatively rare, and inconsistent exposure metrics impair the credibility of epidemiological evidence synthetization. To provide more accurate meta-estimations, this study updates existing systematic reviews by including recent studies and summarizing the quantitative associations between O exposure and cause-specific mortality risks, based on unified exposure metrics. Cross-metric conversion factors were estimated linearly by decadal observations during 1990–2019. The Hunter-Schmidt random-effects estimator was applied to pool the relative risks. A total of 25 studies involving 226,453,067 participants (14 unique cohorts covering 99,855,611 participants) were included in the systematic review. After linearly unifying the inconsistent O exposure metrics, the pooled relative risks associated with every 10 nmol mol (ppbV) incremental O exposure, by mean of the warm-season daily maximum 8-h average metric, were as follows: 1.014 with 95% confidence interval (CI) ranging 1.009–1.019 for all-cause mortality; 1.025 (95% CI: 1.010–1.040) for respiratory mortality; 1.056 (95% CI: 1.029–1.084) for COPD mortality; 1.019 (95% CI: 1.004–1.035) for cardiovascular mortality; and 1.074 (95% CI: 1.054–1.093) for congestive heart failure mortality. Insignificant mortality risk associations were found for ischemic heart disease, cerebrovascular diseases, and lung cancer. Adjustment for exposure metrics laid a solid foundation for multi-study meta-analysis, and widening coverage of surface O observations is expected to strengthen the cross-metric conversion in the future. Ever-growing numbers of epidemiological studies supported the evidence for considerable cardiopulmonary hazards and all-cause mortality risks from long-term O exposure. However, evidence of long-term O exposure-associated health effects was still scarce, so more relevant studies are needed to cover more populations with regional diversity.

ESCI ; EI

英语

其他

Medical Research Council[APP1163693];Medical Research Council[APP2000581];Australian Research Council[DP210102076];Natural Environment Research Council[NE/P016383/1];

Science & Technology - Other Topics

Multidisciplinary Sciences

WOS:000800370800009

ELSEVIER SCIENCE INC

2-s2.0-85129516066

Scopus

1.Centre for Atmospheric Science,Yusuf Hamied Department of Chemistry,University of Cambridge,Cambridge,CB2 1EW,United Kingdom
2.Department of Earth Sciences,University of Cambridge,Cambridge,CB2 3EQ,United Kingdom
3.School of Public Health and Preventive Medicine,Monash University,Melbourne,3004,Australia
4.Institute of Reproductive and Child Health,Key Laboratory of Reproductive Health,National Health Commission of the People's Republic of China,Beijing,100191,China
5.Department of Epidemiology and Biostatistics,School of Public Health,Peking University,Beijing,100191,China
6.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
7.National Centre for Atmospheric Science,Cambridge,CB2 1EW,United Kingdom

Sun，Haitong Zhe,Yu，Pei,Lan，Changxin,et al. Cohort-based long-term ozone exposure-associated mortality risks with adjusted metrics: A systematic review and meta-analysis[J]. The Innovation,2022,3(3).

Sun，Haitong Zhe.,Yu，Pei.,Lan，Changxin.,Wan，Michelle W.L..,Hickman，Sebastian.,...&Archibald，Alexander T..(2022).Cohort-based long-term ozone exposure-associated mortality risks with adjusted metrics: A systematic review and meta-analysis.The Innovation,3(3).

Sun，Haitong Zhe,et al."Cohort-based long-term ozone exposure-associated mortality risks with adjusted metrics: A systematic review and meta-analysis".The Innovation 3.3(2022).