Correlation between insulin resistance and new-onset hyperuricemia in nurses
10.3760/cma.j.cn115624-20240117-00040
- VernacularTitle:护士群体胰岛素抵抗与新发高尿酸血症的关联性
- Author:
Tingting HUANG
1
;
Lisha ZHANG
;
Xing CHEN
;
Liu HU
;
Yongman LÜ
;
Zhengce WAN
Author Information
1. 华中科技大学同济医学院附属同济医院护理部，武汉 430030
- Keywords:
Nurses;
Insulin resistance;
Hyperuricemia;
Cohort study
- From:
Chinese Journal of Health Management
2024;18(11):848-854
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the association between insulin resistance (IR) and new-onset hyperuricemia (HUA) in nurses.Methods:A retrospective cohort study was conducted on 3 792 nurses from Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, who were surveyed from January to July in 2021. A total of 2 995 nurses who were successfully followed up in 2023 and met the inclusion criteria were selected for the study. The nurses were divided into four groups based on their quantiles (Q1 to Q4)for each indicator of insulin resistance (IR), including the triglyceride glucose (TyG), the triglyceride glucose-body mass index (TyG-BMI), the triglyceride/high-density lipoprotein-cholesterol index (TG/HDL-C), and the metabolic score for insulin resistance (METS-IR): groups. The impact of each IR indicator on the risk of HUA was assessed by using Cox regression analysis, while the receiver operating characteristic (ROC) curve was employed to evaluate and compare the predictive power of each indicator.Results:Of the 2 995 nurses, there were 65 males and 2 930 females, with a mean age of (33.19±6.67) years. During the follow-up period of 1.95 (1.87, 2.03) years, 152 new-onset HUA cases were identified, resulting in an incidence density of 26.02 per 1 000 person-years. After adjusting for various confounding factors, the Cox risk regression model analysis indicated that the hazard ratios (95% CI) for the risk of HUA in the highest quartile (Q4) compared to the lowest quartile (Q1) were as follows: 2.20(1.34, 3.63) for TyG, 4.95 (2.76, 8.90) for TyG-BMI, 3.24 (1.92, 5.45) for TG/HDL-C, and 6.15 (3.34, 11.33) for METS-IR. The areas under the ROC curves for TyG, TyG-BMI, TG/HDL-C, and METS-IR levels in predicting the risk of HUA in nurses was 0.71, 0.73, 0.72, and 0.74, respectively. Conclusion:The IR is positively correlated with new-onset HUA in nurses, and each IR index demonstrates a certain predictive efficacy for risk of HUA.
