A retrospective cohort study of the relationship between waist circumference and the risk of hyperuricemia in the occupational population
10.3760/cma.j.cn115624-20211227-00791
- VernacularTitle:单位职工腰围与高尿酸血症发病关系的回顾性队列研究
- Author:
Wei ZHOU
1
;
Nianchun SHAN
;
Shaohui LIU
;
Baoxiang WANG
;
Chang ZENG
Author Information
1. 中南大学湘雅医院健康管理中心，国家老年疾病临床医学研究中心（湘雅医院），长沙 410008
- Keywords:
Waist circumference;
Hyperuricemia;
Incidence risk;
Retrospective cohort study
- From:
Chinese Journal of Health Management
2022;16(9):623-627
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the relationship between waist circumference and hyperuricemia in occupational population in Changsha city.Methods:Based on a retrospective cohort design, a total of 1 197 employees from 70 organizations who received 4 or more years of continuous physical examinations in Xiangya hospital from January 1, 2014 to December 31, 2018 were included in this study. The physical examination data of the year 2014 were set as baseline data, while the data between January 1, 2015 and December 31, 2018 were used as follow-up data. According to interquartile range of the waist circumference, the subjects was divided into four groups: the first quartile ( Q1),<77 cm for men and <68 cm for women; the second quartile ( Q2), 77 cm ≤ and<82 cm for men, 68 cm ≤ and <73 cm for women; the third quartile ( Q3), 82 cm ≤ and <87 cm for men, 73 cm ≤and <78 cm for women; the fourth quartile ( Q4), ≥87 cm for men, ≥78 cm for women. Among them, Q1 was set as the control group, and Q2, Q3 and Q4 as the exposed groups. Three models were established for the total population, men and women, respectively. The confounding factors were not adjusted in model Ⅰ. The model Ⅱ was adjusted for age, gender and body mass index (the male or female population were not adjusted for sex). Confounders including age, gender, body mass index, hypertension, fasting glucose, blood creatinine, triacylglycerol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol were adjusted for model Ⅲ. Cox regression analysis was used to compare the hazard ratio ( HR), adjusted hazardratio (a HR) and their 95% CIs for the development of hyperuricemia in the subjects with different waist circumference over the 4 years. Results:Total of 1 197 subjects were followed-up for (2.05±1.18) years and 2 448 person-years. A total of 208 cases of hyperuricemia were identified in the total population during the 4 years (45 women/163 men), with a cumulative incidence of 17.4% (6.4% in women/33.3% in men) and an incidence density of 84.9/1 000 person-years (31.8/1 000 person-years in women, 157.6/1 000 person-years in men). And 626, 609, 629, and 584 person-years were followed-up in the 4 groups, respectively; with 15, 30, 59, and 104 cases of hyperuricemia occurred during 4 years, respectively. The cumulative incidence rates of hyperuricemia in the 4 yearswas 5.5%, 9.2%, 20.8% and 32.8%, respectively; and the incidence densities was 24.0/1 000 person-years, 49.3/1 000 person-years, 93.8/1 000 person-years and 178.1/1 000 person-years, respectively. Compared with that in the Q1 group, the risk of hyperuricemia was increased in the Q4 group, with a HR (95% CI) of 2.70 (1.81 to 4.04), P<0.05. After adjusted for confounding factors in the total population, the a HR (95% CI) of hyperuricemia was 2.12 (1.39 to 3.24), P<0.05. This risk remained when stratified by gender and adjusted for confounding factors. Compared with the Q1 group, the a HR (95% CI) of hyperuricemia in the Q4 group was 1.91 (1.18 to 3.09) for the male population and 2.93 (1.14 to 7.56) for the female population, respectively (both P<0.05). Conclusion:Among the occupational population, the risk of hyperuricemia increases with increase of waist circumference.
