Association of PM 2.5 with hypertension, type 2 diabetes, and multimorbidity: evidence from the China Migrants Dynamic Survey of 165,075 individuals

This study aims to investigate the relations of exposure to ambient PM2.5 with hypertension, type 2 diabetes, and multimorbidity among the Chinese mobile population. The study used the China Migrants Dynamic Survey (CMDS) data, PM2.5 and Meteorological data in 2017. Binary logistic regression models were performed to examine the relationships between PM2.5 and chronic diseases in mobile population after adjusting for covariates. Overall, each tertile increase in PM2.5 was associated with increased odds of hypertension (OR = 1.047, 95% CI: 1.013-1.082), type 2 diabetes (OR = 1.095, 95% CI: 1.014-1.182) and multimorbidity (OR = 1.098, 95% CI: 1.005-1.199) in mobile population. Greater OR for association of PM2.5 with multimorbidity than a single disease. Stratified analyses revealed that males were susceptible to PM2.5-related hypertension and diabetes, and females were susceptible to PM2.5-related multimorbidity. The older and people with low incomes were more likely to be affected by PM2.5 to develop hypertension, type 2 diabetes, and multimorbidity. This study suggested that PM2.5 was associated with hypertension, type 2 diabetes, and multimorbidity in Chinese mobile population. The elderly and those with low incomes mobile population were susceptible to PM2.5. Effective strategies for air pollution reduction should be taken by local policymakers to further improve the migrants' health status.