Evidence map›Paper›PMID 41810273›Full record

ArticleInternational journal of applied & basic medical research

Sex-Specific Cardiometabolic Phenotypes of Metabolic Syndrome Identified by Latent Class Analysis in Indian Adults.

Neha Dharmesh Sheth, Ivvala Anand Shaker, Jay Ranade

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Article in International journal of applied & basic medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Neha Dharmesh ShethDepartment of Biochemistry, Parul Institute of Medical Sciences and Research, Parul University, Waghodia, Gujarat, India.
Ivvala Anand ShakerDepartment of Biochemistry, Swaminarayan Institute of Medical Science and Research, Swaminarayan University, Gandhinagar, Gujarat, India.
Jay RanadeJai Research Foundation, Vapi, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ( 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.

Indexed as

Blood pressurehigh-density lipoprotein cholesterolhomeostatic model assessment of insulin resistanceinsulin resistancelatent class analysismetabolic syndromesex differences

Identifiers

PMID41810273
PMCPMC12970760

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.