Level of serum uric acid and prevalence of hyperuricemia among Chinese adults aged 18-59 years old in 15 provinces, 2015
10.3760/cma.j.cn112338-20200326-00442
- VernacularTitle:2015年中国15省份18~59岁成年居民血清尿酸水平及高尿酸血症患病状况
- Author:
Haojie HU
1
;
Chang SU
;
Huijun WANG
;
Bing ZHANG
Author Information
1. 中国疾病预防控制中心营养与健康所，北京 100050
- Keywords:
Hyperuricemia;
Adult residents;
Prevalence rate
- From:
Chinese Journal of Epidemiology
2021;42(5):840-845
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the level of serum uric acid and the prevalence of hyperuricemia among adult residents in China.Methods:Data were derived from the China Nutritional Transition Cohort Study (CNTCS) in 2015. A total of 8 217 adult residents, aged 18-59 years old, who had completed survey data were selected as the subjects of the study. The demographic data was collected by questionnaire, and the fasting serum uric acid was detected by enzymatic method on the automatic biochemical analyzer (German Roche C701/702) by using German Roche uric acid reagent test kit. The levels of serum uric acid and the prevalence of hyperuricemia were analyzed under different demographic characteristics.Results:The results showed that, in 2015, the average level of serum uric acid in Chinese adults aged 18-59 years old was 288.0 μmol/L, and the prevalence rate of hyperuricemia was 9.8% (weighted value). Among them, the average level of serum uric acid and weighted prevalence of hyperuricemia was 329.7 μmol/L and 15.1% in men and 254.3 μmol/L and 5.8% in women. The average level of serum uric acid and weighted prevalence of hyperuricemia was 298.5 μmol/L and 10.9% in urban residents and 281.9 μmol/L and 9.1% in rural residents. The level of serum uric acid and the prevalence rate of hyperuricemia decreased when age increased in men, but increased with age increased in women.Conclusions:There are some differences in the level of serum uric acid and the prevalence rate of hyperuricemia among adult residents of different regions, gender, ages, household income and educational level. It is suggested that accurate prevention and control measures should be taken according to different demographic characteristics.
