Epidemiology and prevalence of hyperuricemia among men and women in Chinese rural population: The Henan Rural Cohort Study.

Abstract

Objective: The aim of this study was to explore the latest prevalence of hyperuricemia and influencing factors in Chinese rural population.Methods: A survey was conducted from July 2015 to September 2017. A total of 38,855 (15,371 men and 23,484 women) subjects were recruited from the Henan Rural Cohort Study. Hyperuricemia was defined as a serum urate level of >7.0 mg/dL for men and >6.0 mg/dL for women. A meta-analysis of 19 studies that focused on hyperuricemia prevalence was performed to validate the result of the cross-sectional survey.Results: The crude and age-standardized prevalence of hyperuricemia was 10.24% and 12.60%, respectively. The prevalence of hyperuricemia decreased in men with increasing age, but the opposite trend was observed in women. The results of meta-analysis demonstrated that hyperuricemia prevalence in Chinese rural areas was 11.7%, consistent with the result of current survey. Multivariate logistic regression revealed that overweight or obesity, hypercholesterolemia, hypertriglyceridemia, hypoalphalipoproteinemia and high serum creatinine level could increase the risk of hyperuricemia, while high physical activity and fasting plasma glucose were associated with a lower risk of hyperuricemia in all participants.Conclusion: The latest prevalence of hyperuricemia is high in rural China and is associated with multiple factors, indicating that prevention and control strategies for hyperuricemia are needed urgently.

• Authors: Xiaokang Dong, Honglei Zhang, Fang Wang, Xiaotian Liu, Kaili Yang, Runqi Tu, Min Wei, Ling Wang, Zhenxing Mao, Gongyuan Zhang, Chongjian Wang
• Journal: Modern rheumatology (Mod Rheumatol) Vol. 30 Issue 5 Pg. 910-920 (Sep 2020) ISSN: 1439-7609 [Electronic] England
• PMID: 31442098 (Publication Type: Journal Article, Meta-Analysis)

Topics

• Adult
• Aged
• China
• Comorbidity
• Female
• Humans
• Hyperuricemia (epidemiology)
• Male
• Middle Aged
• Prevalence
• Rural Population (statistics & numerical data)