Causal Associations of Air Pollution With Cardiovascular Disease and Respiratory Diseases Among Elder Diabetic Patients

Author:

Li Zhiwei12,Lv Shiyun12,Lu Feng3,Guo Moning3,Wu Zhiyuan12,Liu Yue12,Li Weiming12,Liu Mengmeng12,Yu Siqi12,Jiang Yanshuang1,Gao Bo12,Wang Xiaonan12,Li Xia4,Wang Wei5ORCID,Liu Xiangtong12,Guo Xiuhua1256ORCID

Affiliation:

1. Department of Epidemiology and Health Statistics School of Public Health Capital Medical University Beijing China

2. Beijing Municipal Key Laboratory of Clinical Epidemiology Capital Medical University Beijing China

3. Beijing Municipal Health Commission Information Center Beijing China

4. Department of Mathematics and Statistics La Trobe University Melbourne Australia

5. School of Medical Sciences and Health Edith Cowan University Perth Australia

6. National Institute for Data Science in Health and Medicine Capital Medical University Beijing China

Abstract

AbstractExtensive researches have linked air pollutants with cardiovascular disease (CVD) and respiratory diseases (RD), however, there is limited evidence on causal effects of air pollutants on morbidity of CVD or RD with comorbidities, particularly diabetes mellitus in elder patients. We included hospital admissions for CVD or RD among elder (≥65 years) diabetic patients between 2014 and 2019 in Beijing. A time‐stratified case‐crossover design based on negative‐control exposure was used to assess causal associations of short‐term exposure to air pollutants with CVD and RD among diabetic patients with the maximum lag of 7 days. A random forest regression model was used to calculate the contribution magnitude of air pollutants. A total of 493,046 hospital admissions were recorded. Per 10 μg/m3 uptick in PM1, PM2.5, PM10, SO2, NO2, O3, and 1 mg/m3 in CO was associated with 0.29 (0.05, 0.53), 0.14 (0.02, 0.26), 0.06 (0.00, 0.12), 0.36 (0.01, 0.70), 0.21 (0.02, 0.40), −0.08 (−0.25, 0.09), and 4.59 (0.56, 8.61) causal effect estimator for admission of CVD among diabetic patients, corresponding to 0.12 (0.05, 0.18), 0.09 (0.05, 0.13), 0.05, 0.23 (0.06, 0.41), 0.10 (0.02, 0.19), −0.04 (−0.06, −0.01), and 3.91(1.81, 6.01) causal effect estimator for RD among diabetic patients. The effect of gaseous pollutants was higher than particulate pollutants in random forest model. Short‐term exposure to air pollution was causally associated with increased admission of CVD and RD among elder diabetic patients. Gaseous pollutants had a greater contribution to CVD and RD among elder diabetic patients.

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Pollution,Waste Management and Disposal,Water Science and Technology,Epidemiology,Global and Planetary Change

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