The correlation between HOMA-IR and cardiometabolic risk index among different metabolic adults: a cross-sectional study.

Lu, Qiyun; Chen, Benjian; Li, Anxiang; Liang, Qingshun; Yao, Jia; Tao, Yiming; Dai, Fangfang; Hu, Xiaoling; Lu, Jiayan; Liu, Yunwei; Liu, Yunyi; Wang, Yingxi; Long, Jieer; Zhang, RongHua; Liu, Zhenjie

Aims: This study aimed to explore the correlation between homeostasis model assessment of insulin resistance(HOMA-IR)and cardiometabolic risk index(CMRI) among different metabolic adults to evaluate the value of HOMA-IR in predicting cardiometabolic risk. Methods: This cross-sectional study was conducted over 18 months (from August 1, 2020 to February 18, 2022) and included 1550 participants divided into non-metabolic syndrome (non-MetS) group (n = 628) and metabolic syndrome (MetS) group (n = 922) in three centers of China. Logistic regression analysis was employed to investigate the correlation between HOMA-IR, body fat percentage, BMI (body mass index), visceral fat index, waist-to-hip ratio, vitamin D, and CMRI. Further analysis was conducted to evaluate the ability of HOMA-IR in diagnosing high CMRI within different metabolic, gender, and age groups to predict the risk of cardiovascular disease (CVD). Results: HOMA-IR was significantly higher in the MetS group compared with the non-MetS group (P < 0.05). CMRI was significantly higher in the MetS group compared to the non-MetS group (P < 0.05). According to ROC curve analysis, HOMA-IR can predict cardiovascular risk (CVR) in the general population, non-MetS individuals, and MetS people. Logistic regression analysis revealed that BMI, visceral fat index, waist-to-hip ratio, and HOMA-IR are independent risk indicators of high CVR, whereas vitamin D may exert a protective role. Conclusions: HOMA-IR was an independent risk factor for increased CVR in MetS patients. Moreover, HOMA-IR elevates the risk of CVD regardless of MetS and thus can be used for screening the general population. Trial Registration: The study was registered at the Chinese Clinical Trial Registry (Registration Number: ChiCTR2100054654). Strengths and limitations: • This is the first cross-sectional study evaluating the correlation between HOMA-IR and cardiometabolic risk index and its difference among metabolic populations in China. • HOMA-IR is a simple, accurate, and highly sensitive predictor for the early identification of cardiovascular disease among different metabolic adults. • This study helps to set optimal cutoff points of HOMA-IR for predicting cardiovascular risk in different metabolic populations in China. • Populations only come from three cities in China, and there may be selective bias.

POPULATION of China; LOGISTIC regression analysis; WAIST-hip ratio; MEDICAL sciences; INSULIN resistance

Acta Diabetologica, 2025, Vol 62, Issue 1, p49

0940-5429

Academic Journal

10.1007/s00592-024-02332-y