1. Associations of the cardiometabolic index with insulin resistance, prediabetes, and diabetes in U.S. adults: a cross-sectional study.
- Author
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Liu, An-Bang, Lin, Yan-Xia, Meng, Ting-Ting, Tian, Peng, Chen, Jian-Lin, Zhang, Xin-He, Xu, Wei-Hong, Zhang, Yu, Zhang, Dan, Zheng, Yan, and Su, Guo-Hai
- Subjects
DIABETES risk factors ,PREDIABETIC state ,RISK assessment ,CROSS-sectional method ,RESEARCH funding ,GLYCOSYLATED hemoglobin ,LOGISTIC regression analysis ,MULTIPLE regression analysis ,CARDIOVASCULAR diseases risk factors ,DESCRIPTIVE statistics ,INSULIN resistance ,ODDS ratio ,BLOOD sugar ,CONFIDENCE intervals ,DISEASE risk factors - Abstract
Background: The cardiometabolic index (CMI) is a novel metric for assessing cardiometabolic health and type 2 diabetes mellitus (DM), yet its relationship with insulin resistance (IR) and prediabetes (preDM) is not well-studied. There is also a gap in understanding the nonlinear associations between CMI and these conditions. Our study aimed to elucidate these associations. Methods: We included 13,142 adults from the National Health and Nutrition Examination Survey (NHANES) 2007–2020. CMI was calculated by multiplying the triglyceride-to-high density lipoprotein cholesterol (TG/HDL-C) by waist-to-height ratio (WHtR). Using weighted multivariable linear and logistic regression explored the relationships of CMI with glucose metabolism markers, IR, preDM, and DM. Nonlinear associations were assessed using generalized additive models (GAM), smooth curve fittings, and two-piecewise logistic regression. Results: Multivariate regression revealed positive correlations between CMI and glucose metabolic biomarkers, including FBG (β = 0.08, 95% CI: 0.06–0.10), HbA1c (β = 0.26, 95% CI: 0.22–0.31), FSI (β = 4.88, 95% CI: 4.23–5.54), and HOMA-IR (β = 1.85, 95% CI: 1.56–2.14). There were also significant correlations between CMI and increased risk of IR (OR = 3.51, 95% CI: 2.94–4.20), preDM (OR = 1.49, 95% CI: 1.29–1.71), and DM (OR = 2.22, 95% CI: 2.00-2.47). Inverse nonlinear L-shaped associations were found between CMI and IR, preDM, and DM, with saturation inflection points at 1.1, 1.45, and 1.6, respectively. Below these thresholds, increments in CMI significantly correlated with heightened risks of IR, preDM, and DM. Conclusions: CMI exhibited inverse L-shaped nonlinear relationships with IR, preDM, and DM, suggesting that reducing CMI to a certain level might significantly prevent these conditions. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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