ArticleScientific reports2019
Application of Latent Class Analysis to Identify Metabolic Syndrome Components Patterns in adults: Tehran Lipid and Glucose study.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Subtyping metabolic dysfunction-associated steatotic liver disease using electronic health record-linked genomic cohorts reveals diverse etiologies and progression.Nature communications · 2026Article
- Cardiometabolic risk phenotypes and chronic kidney disease incidence in older adults: a nationwide longitudinal cohort study.BMC public health · 2025Article
- Metabolic syndrome including both elevated blood pressure and elevated fasting plasma glucose is associated with higher mortality risk: a prospective study.Diabetology & metabolic syndrome · 2025Article
- The crucial role of hypertension in determining latent classes of metabolic syndrome in northern Iran and predictive power of these classes in non-alcoholic fatty liver: a gender-based insight.Frontiers in endocrinology · 2025Article
- Cardiometabolic risk factor clusters in older adults using latent class analysis on the Bushehr elderly health program.Scientific reports · 2024Article
- Metabolic syndrome clustering patterns and the association with cardiovascular disease among post-menopausal Korean women.Scientific reports · 2024Article
- Clustering of Cardiometabolic Risk Factors and Dementia Incidence in Older Adults: A Cross-Country Comparison in England, the United States, and China.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Article
- Patterns of metabolic syndrome and associated factors in women from the ELSA-Brasil: a latent class analysis approach.Cadernos de saude publica · 2023Article
- Article
- Distinct Microbial Signatures between Periodontal Profile Classes.Journal of dental research · 2021Article
- Subtypes of Premorbid Metabolic Syndrome and Associated Clinical Outcomes in Older Adults.Frontiers in medicine · 2021Article
- Sex-Specific Cardiometabolic Phenotypes of Metabolic Syndrome Identified by Latent Class Analysis in Indian Adults.International journal of applied & basic medical researchArticle
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6 authors.
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Abstract
In this study, using latent class analysis (LCA), we investigated whether there are any homogeneous subclasses of individuals exhibiting different profiles of metabolic syndrome (MetS) components. The current study was conducted within the framework of the Tehran Lipid and Glucose Study (TLGS), a population-based cohort including 6448 subjects, aged 20-50 years. We carried out a LCA on MetS components and assessed the association of some demographic and behavioral variables with membership of latent subclasses using multinomial logistic regression. Four latent classes were identified:(1) Low riskclass, with the lowest probabilities for all MetS components (its prevalence rate in men: 29%, women: 64.7%), (2) MetS with diabetes medication (men: 1%, women: 2.3%), (3) Mets without diabetes medication (men: 32%, women: 13.4%), (4) dyslipidemia (men: 38%, women: 19.6%). In men the forth subclass was more significantly associated with being smoker (odds ratio: 4.49; 95% CI: 1.89-9.97). Our study showed that subjects with MetS could be classified in sub-classes with different origins for their metabolic disorders including drug treated diabetes, those with central obesity and dyslipidemia associated with smoking.
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