Effect of ACE, ACE2 and CYP11B2 gene polymorphisms and noise on essential hypertension among steelworkers in China: a case-control study.

BACKGROUND: Previous studies on the relationship between ACE I/D, ACE2 G8790A and CYP11B2-344T/C gene polymorphisms and essential hypertension (EH) were inconsistent. Moreover, few studies have reported the combined effect of these gene polymorphisms and noise exposure on EH. The purpose of this study was to explore the combined and separate effects of ACE I/D, ACE2 G8790A and CYP11B2-344T/C gene polymorphisms and noise on EH among steelworkers. METHODS: A case-control study was conducted on 725 male workers between March 2014 and July 2014 in the Tangsteel Company, China. The noise exposure of the workers were measured. Logistic regression and crossover analysis were used to analyse the effects of the interactions on the EH among steelworkers. GMDR was used to determine the best combination model of gene-noise interactions. RESULTS: Multivariate logistic regression showed that noise exposure increased the odds of EH, and the OR is 1.52 (95% CI 1.04-2.22). The risk of having EH for ACE I/D DD genotype carriers was 1.99 times that for II genotype carriers (95% CI 1.14-3.51). There was a negative additive interaction between ACE2 G8790A and CYP11B2-344T/C on EH (U3 = - 2.221, P = 0.026, and S = 0.128) and a positive multiplicative interaction between ACE I/D and CYP11B2-344T/C on essential hypertension (P = 0.041). In addition, there was no significant gene-noise interaction model through the GMDR method after adjusting the confounders. CONCLUSIONS: The ACE DD genotype may make men susceptible to EH. Simultaneously carrying the DD genotype of ACE I/D and the TC genotype of CYP11B2-344T/C increased the risk of EH.

[Economic evaluation on the health hazards of residents caused by PM_(2.5) in Beijing, Tianjin and Hebei from 2013 to 2018].

OBJECTIVE: To learn the health hazards and health economic losses caused by PM_(2.5) pollution in Beijing, Tianjin and Hebei to the resident population. METHODS: Fine particular matter concentration and the basic demographic data of Beijing, Tianjin and Hebei from 2013 to 2018 were collected. Circulatory system disease hospitalization and other indexes were chosen as the end point of health effects, appropriate exposure-response relationship were selected, and the economic loss of health effect caused by PM_(2.5) was assessed by the combination of the cost of illness approach and human capital method. RESULTS: From 2013 to 2018, the economic loss of Beijing, Tianjin and Hebei caused by fine particular matter pollution showed a decreasing trend year by year. The health economic losses of Beijing from 2013 to 2018 were 3.815, 4.177, 4.090, 3.818, 2.567 and 2.031 billion yuan; The health economic losses of Tianjin were 3.046, 2.625, 1.882, 1.914, 1.448 and 1.000 billion yuan; The health economic losses of Hebei were 13.719, 11.850, 7.423, 7.216, 6.499 and 4.124 billion yuan, Hebei Province had the highest economic loss in 2013, accounting for 13.719 billion yuan, accounting for 0.51% of GDP in that year. Tianjin had the lowest economic loss in 2018, accounting for 10.0 billion yuan, accounting for 0.05% of GDP in that year. CONCLUSION: The health loss caused by PM_(2.5) pollution in Beijing, Tianjin and Hebei region shows a decreasing trend year by year, but the number is still very considerable, and the monitoring and control of PM_(2.5) pollution need to be further strengthened.