Sex differences in the predictive value of insulin resistance surrogate indicators for prediabetes among Chinese adults aged 18–45 years: a multicenter cohort study - Scorecard - MDSpire

Sex differences in the predictive value of insulin resistance surrogate indicators for prediabetes among Chinese adults aged 18–45 years: a multicenter cohort study

  • By

  • Yafei Chang

  • Luming Zhang

  • Shafiu Adam UmarShinge

  • Rui Gu

  • Xingchao Zhou

  • Qingzhou Zhang

  • Xinyi Zhang

  • Binbin Zhang

  • Jiawei Liu

  • Yanqi Yang

  • June 24, 2026

  • 0 min

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Clinical Scorecard: Gender-Based Variations in the Predictive Utility of Insulin Resistance Surrogates for Prediabetes in Chinese Adults Aged 18 to 45: Findings from a Multicenter Cohort Analysis

At a Glance

CategoryDetail
ConditionPrediabetes
Key MechanismsInsulin resistance as a core pathophysiological driver
Target PopulationChinese adults aged 18 to 45
Care SettingMulticenter retrospective cohort study

Key Highlights

  • 8.31% of participants developed prediabetes during follow-up, with higher incidence in men (10.76%) than women (5.74%)
  • METS-IR showed the strongest association with incident prediabetes in women (HR: 7.82) compared to men (HR: 1.45)
  • TyG-BMI demonstrated the highest predictive accuracy in the overall population (AUC = 0.6497)
  • Women exhibited superior discriminative performance across all insulin resistance indices compared to men
  • The study emphasizes the need for sex-specific risk stratification in prediabetes screening

Guideline-Based Recommendations

Diagnosis

  • Utilize insulin resistance surrogate indices for screening prediabetes

Management

  • Implement sex-stratified screening protocols for prediabetes

Monitoring & Follow-up

  • Regular follow-up for individuals identified at risk using insulin resistance indices

Risks

  • Higher risk of progression to type 2 diabetes mellitus and cardiovascular complications in prediabetic individuals

Patient & Prescribing Data

Young Chinese adults aged 18 to 45 with normoglycemia at baseline

Focus on early identification of high-risk individuals to prevent metabolic deterioration

Clinical Best Practices

  • Incorporate routine insulin resistance surrogate indices in health check-ups
  • Conduct sex-specific analyses when evaluating risk for prediabetes

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