Feiyan Liu1, Yu Liu2, Xizhuo Sun2, Zhaoxia Yin2, Honghui Li2, Kunpeng Deng3, Yang Zhao4, Bingyuan Wang4, Yongcheng Ren4, Xuejiao Liu5, Dongdong Zhang5, Xu Chen5, Cheng Cheng5, Leilei Liu5, Dechen Liu5, Guozhen Chen6, Shihao Hong6, Chongjian Wang7, Ming Zhang8, Dongsheng Hu9. 1. Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Key Laboratory for Genome Stability & Disease Prevention, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China. 2. The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China. 3. Yantian Entry-exit Inspection and Quarantine Bureau, Shenzhen, Guangdong, People's Republic of China. 4. Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China. 5. Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China. 6. Department of Clinical Medicine, Shenzhen University, Shenzhen, Guangdong, People's Republic of China. 7. Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China. 8. Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Key Laboratory for Genome Stability & Disease Prevention, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China. Electronic address: zhangming@szu.edu.cn. 9. Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Key Laboratory for Genome Stability & Disease Prevention, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China. Electronic address: hud@szu.edu.cn.
Abstract
BACKGROUND AND AIMS: The alcohol-hypertension relation has been well documented, but whether women have protective effect or race and type of beverage consumed affect the association remain unclear. To quantify the relation between total or beverage-specific alcohol consumption and incident hypertension by considering the effect of sex and race. METHODS AND RESULTS: Articles were identified in PubMed and Embase databases with no restriction on publication date. Pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated by random effects models. Restricted cubic splines were used to model the dose-response association. This study involved 22 articles (31 studies) and included 414,477 participants. The hypertension risk was different among liquor, wine, and beer at 5.1-10 g/d of ethanol consumption (P-across subgroups = 0.002). The hypertension risk differed between men (RR: 1.14, 95% CI: 1.07, 1.20) and women (RR: 0.98, 95% CI: 0.89, 1.06) at 10 g/d (P-across subgroups = 0.005). We found a linear alcohol-hypertension association among white (P-linearity = 0.017), black people (P-linearity = 0.035), and Asians (P-linearity<0.001). With 10 g/d increment of consumption, the RRs for hypertension were 1.06 (95% CI: 1.04, 1.08), 1.14 (95% CI: 1.01, 1.28), and 1.06 (95% CI: 1.01, 1.10) for Asians, black, and white people, respectively. CONCLUSION: Sex modifies the alcohol-hypertension association at low level of alcohol consumption and we did not find evidence of a protective effect of alcohol consumption among women. Black people may have higher hypertension risk than Asians and white people at the same ethanol consumption.
BACKGROUND AND AIMS: The alcohol-hypertension relation has been well documented, but whether women have protective effect or race and type of beverage consumed affect the association remain unclear. To quantify the relation between total or beverage-specific alcohol consumption and incident hypertension by considering the effect of sex and race. METHODS AND RESULTS: Articles were identified in PubMed and Embase databases with no restriction on publication date. Pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated by random effects models. Restricted cubic splines were used to model the dose-response association. This study involved 22 articles (31 studies) and included 414,477 participants. The hypertension risk was different among liquor, wine, and beer at 5.1-10 g/d of ethanol consumption (P-across subgroups = 0.002). The hypertension risk differed between men (RR: 1.14, 95% CI: 1.07, 1.20) and women (RR: 0.98, 95% CI: 0.89, 1.06) at 10 g/d (P-across subgroups = 0.005). We found a linear alcohol-hypertension association among white (P-linearity = 0.017), black people (P-linearity = 0.035), and Asians (P-linearity<0.001). With 10 g/d increment of consumption, the RRs for hypertension were 1.06 (95% CI: 1.04, 1.08), 1.14 (95% CI: 1.01, 1.28), and 1.06 (95% CI: 1.01, 1.10) for Asians, black, and white people, respectively. CONCLUSION: Sex modifies the alcohol-hypertension association at low level of alcohol consumption and we did not find evidence of a protective effect of alcohol consumption among women. Black people may have higher hypertension risk than Asians and white people at the same ethanol consumption.
Authors: Tomasz Sobierajski; Stanisław Surma; Monika Romańczyk; Krzysztof Łabuzek; Krzysztof J Filipiak; Suzanne Oparil Journal: Int J Environ Res Public Health Date: 2022-07-05 Impact factor: 4.614
Authors: Yawen Wang; Yuntong Yao; Yun Chen; Jie Zhou; Yanli Wu; Chaowei Fu; Na Wang; Tao Liu; Kelin Xu Journal: Int J Environ Res Public Health Date: 2022-03-23 Impact factor: 3.390