Association between Drinking Patterns and Incident Hypertension in Southwest China.
Yawen WangYuntong YaoYun ChenJie ZhouYanli WuChaowei FuNa WangTao LiuKelin XuPublished in: International journal of environmental research and public health (2022)
Based on a prospective cohort study of adults from southwest China with heterogeneity in their demographical characteristics and lifestyles, we aimed to explore the association between drinking patterns and incident hypertension under the interaction of these confounding factors. The Cox proportional hazard model was used to estimate the hazard ratios (HR) and 95% confidence intervals (95% CI). Subgroup analysis was performed according to sex, ethnicity, area, occupation, smoking, and exercise to compare the differences in the association between drinking patterns and the incidence of hypertension. Blood pressure was higher in participants with a high drinking frequency than those with a low drinking frequency ( p < 0.001). We found that total drinking frequency, liquor drinking frequency, rice wine drinking frequency, and alcohol consumption were significantly associated with an increased risk of hypertension. Compared with the non-drinking group, a heavy drinking pattern was positively correlated with hypertension. Drinking can increase the risk of hypertension, especially heavy drinking patterns, with a high frequency of alcohol intake and high alcohol consumption. From the analysis results of the longitudinal data, drinking alcohol is still an important risk factor for hypertension among Chinese subjects, especially for men, the rural population, the employed, the Han nationality, smokers, and certain exercise populations.
Keyphrases
- alcohol consumption
- blood pressure
- high frequency
- hypertensive patients
- cardiovascular disease
- heart rate
- randomized controlled trial
- high intensity
- clinical trial
- cross sectional
- type diabetes
- risk factors
- adipose tissue
- big data
- arterial hypertension
- artificial intelligence
- resistance training
- deep learning
- single cell
- insulin resistance
- study protocol