Key result
Latent class analysis identifies three distinct, sex-specific cardiometabolic phenotypes in metabolic syndrome.
Cross-Sectional (n=440)
p-value: p=<0.001
Latent class analysis identifies three distinct cardiometabolic phenotypes of metabolic syndrome with significant sex-specific differences, suggesting the need for tailored interventions.
Background: Metabolic syndrome (MetS) encompasses a constellation of cardiometabolic risk factors, yet its phenotypic diversity remains underexplored. Aim: The study aimed to identify sex-specific latent phenotypes of MetS using key clinical indicators and to evaluate their association with metabolic risk. Materials and Methods: We conducted a latent class analysis among 440 adults aged 20–55 years using five indicators – waist circumference, systolic and diastolic blood pressure (BP), high-density lipoprotein (HDL) cholesterol, and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR). Sex-specific models and sensitivity analyses were used to assess measurement invariance and model robustness. Results: A three-class model demonstrated optimal fit (lowest Bayesian Information Criterion, entropy ≥0.99). Class 1 (43%) was predominantly low-risk, with minimal abdominal obesity and no hypertension. Class 2 (23%) represented a hypertensive–adiposity phenotype, characterized by universal elevated waist circumference and systolic hypertension but moderate insulin resistance. Class 3 (35%) was marked by pronounced insulin resistance and dyslipidemia, with high HOMA-IR and triglycerides (TG) despite minimal hypertension. Sex-stratified models fit significantly better than pooled models ( G 2 = 130.4, P < 0.001), revealing differential indicator profiles – men showed higher low-HDL prevalence, whereas women exhibited greater diastolic load. Sensitivity analysis collapsing BP indicators confirmed class stability and preserved metabolic gradients. Bolck-Croon-Hagenaars - weighted analysis revealed a stepwise increase in fasting blood sugar and TG across classes. Conclusion: Our findings highlight three robust cardiometabolic phenotypes with distinct sex-specific profiles. The hypertensive–adiposity and insulin-resistant classes suggest divergent risk pathways requiring tailored interventions. Even the low-risk group exhibited intermediate lipid elevation, supporting the need for universal lifestyle counseling alongside precision screening strategies.
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Sheth et al. (2026) conducted a cross-sectional in Metabolic syndrome (n=440). Metabolic syndrome phenotypes was evaluated on Latent phenotypes of MetS (p=<0.001). Latent class analysis identified three distinct cardiometabolic phenotypes of metabolic syndrome (low-risk 43%, hypertensive-adiposity 23%, insulin-resistant 35%) with sex-specific profiles (P<0.001).
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