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Latent Cardiometabolic Phenotypes and Their Sociodemographic Correlates Among US Adults: A Cross-Sectional Latent Class Analysis Using NHANES (2011-2018) Data.

Diabetes/metabolism research and reviews - 1 Sept 2026

Unnikrishnan Greeshma, Singh Abhinav, Harijith K R

Abstract excerpt

AIM: The study aims to identify distinct cardiometabolic phenotypes based on multiple metabolic risk indicators, assess their associations with sociodemographic characteristics, and evaluate income-related differences through cardiometabolic risk using decomposition methods to quantify the contribution of observed factors to these disparities. MATERIALS AND METHODS: A cross-sectional analytical study was...

Read the complete abstract on PubMed

Topics

Humans
Cross-Sectional Studies
Female
Male
Latent Class Analysis
Adult

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Nutrition Surveys

United States

Phenotype

Middle Aged

Cardiovascular Diseases

Cardiometabolic Risk Factors

Socioeconomic Disparities in Health

Metabolic Syndrome

Biomarkers

Sociodemographic Factors

Follow-Up Studies

Prognosis

Source

Open in PubMed Open full text

Identifiers

PMID: 42671080
DOI: 10.1002/dmrr.70225
PMCID: PMC13528256

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 25 Oct 2026.

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