Sex differences in the predictive value of insulin resistance surrogate indicators for prediabetes among Chinese adults aged 18–45 years: a multicenter cohort study - Summary - MDSpire
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Sex differences in the predictive value of insulin resistance surrogate indicators for prediabetes among Chinese adults aged 18–45 years: a multicenter cohort study
To evaluate and compare the predictive value of four insulin resistance (IR) surrogate indices for incident prediabetes and examine sex-specific disparities in their predictive performance.
Approach:
Study Design: Multicenter retrospective cohort study using data from the Rich Healthcare Group Database, enrolling 63,795 adults aged 18–45 years with normoglycemia at baseline.
Statistical Analysis: Cox proportional hazards regression models, restricted cubic spline analyses, and receiver operating characteristic (ROC) curve analysis were employed.
Key Findings:
5,304 participants (8.31%) developed prediabetes during follow-up, with a higher incidence in men (10.76%) than women (5.74%; p< 0.001).
All four IR indices were independently associated with incident prediabetes after multivariable adjustment.
METS-IR showed a fully adjusted hazard ratio of 7.82 in women compared to 1.45 in men.
TyG-BMI demonstrated the highest predictive accuracy in the overall population (AUC = 0.6497).
Women exhibited superior discriminative performance across all indices compared to men.
Interpretation:
IR surrogate indices have significantly greater predictive value for prediabetes in young Chinese women than in men, particularly with METS-IR showing pronounced sex disparity.
Limitations:
The study is retrospective and may be subject to biases inherent in observational studies.
The cohort was limited to young adults aged 18-45, which may not generalize to older populations.
Conclusion:
The findings indicate sex-specific differences in the predictive value of IR surrogate indices for prediabetes.