Long-term drinking behavior change patterns and its association with hyperuricemia in chinese adults: evidence from China Health and Nutrition Survey

• Published in: BMC public health 2022-06, Vol.22 (1), p.1-1230, Article 1230
• Main Authors: Zhu, Bowen, Li, Yang, Shi, Yiqin, Song, Nana, Fang, Yi, Ding, Xiaoqiang
• Format: Article
• Language: English
• Subjects: Adults; Alcohol consumption; Alcohol use; Alcoholic beverages; Alcoholism; Beer; Behavior; Beverages; Biomarkers; Body mass index; China Health and Nutrition Survey; Cholesterol; Chronic illnesses; Collaboration; Complications and side effects; Creatinine; Diabetes; Drinking; Drinking behavior; Drinking behavior change patterns; Drinking of alcoholic beverages; Hypertension; Hyperuricemia; Kidney diseases; Laboratories; Males; Nutrition; Nutrition surveys; Nutritional epidemiology; Population; Public health; Questionnaires; Regression analysis; Regression models; Risk factors; Smoking; Statistical analysis; Statistical correlation; Surveys; Womens health
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-022-13637-4

Background We aimed to explore the association between long-term drinking behavior change patterns with hyperuricemia (HUA) in Chinese community adults. Methods This study was designed as a community-based unbalanced cohort study involving 4127 adults aged between 18 ~ 75 years, derived from the China Health and Nutrition Survey (CHNS) in 1997 and 2009. Drinking behavior change patterns were categorized into: never drinking, change to drinking, quitting drinking, and continued drinking. The alcoholism, type, and frequency of drinking were further categorized. We applied logistic regression models to explore the associations between drinking behavior change patterns and HUA. Results The average age of the participants was 54.6 ([+ or -] 11.3) years and 47.8% were male. The overall prevalence of HUA was 15.5%. Drinking behavior change patterns of quitting (aOR 1.8; 95% CI 1.1 ~ 2.8) and continued drinking (aOR 2.0; 95% CI 1.3 ~ 3.0) were positively associated with high risks of HUA in the male participants. Early drinking behaviors such as liquor intake (aOR 1.8; 95% CI 1.4 ~ 2.5) and high consumption or frequency showed a positive correlation with HUA. Of note, heavy alcoholism (aOR 2.0; 95% CI 1.4 ~ 2.8) and daily drinking (aOR 2.5; 95% CI 1.7 ~ 3.6) had the highest risks of HUA. Furthermore, in the male participants, the association between early total alcohol intake and HUA was more pronounced at 18 standard drinks intake, with a stable increasing trend. In contrast, no statistical correlation was observed between the drinking behaviors and HUA in the female participants. Conclusions Drinking behavior change patterns of quitting and continued drinking are strongly associated with increased risks of HUA in males. The risks emanated from early drinking behaviors such as liquor drinking, high drinking frequency, and alcohol consumption. Although quitting drinking was associated with lower HUA risks compared to continued drinking, it still presented an undeniable risk for HUA. Keywords: Hyperuricemia, Drinking behavior change patterns, Alcohol consumption, China Health and Nutrition Survey, Nutritional epidemiology