Patterns of clustering of the metabolic syndrome components and its association with coronary heart disease in the Multi-Ethnic Study of Atherosclerosis (MESA): A latent class analysis. (15th November 2018)

• Record Type: Journal Article
• Authors: Riahi, Seyed Mohammad; Moamer, Soraya; Namdari, Mahshid; Mokhayeri, Yaser; Pourhoseingholi, Mohammad Amin; Hashemi-Nazari, Seyed Saeed
• Is Part Of: International journal of cardiology. Volume 271(2018)
• Page Start: 13
• Page End: 18
• Publication Date: 2018-11-15
• Subjects: LCA latent class analysis -- MetS metabolic syndrome -- BMI body mass index -- CHD coronary heart disease -- CVD cardiovascular disease -- HDL high density lipoprotein -- NCEP-ATP III National Cholesterol Education Program Adult Treatment Panel III -- MESA Multi-Ethnic Study of Atherosclerosis -- TG Triglyceride -- SBP systolic blood pressure -- DBP diastolic blood pressure -- WC waist circumference -- AOR adjusted odds ratios -- GOF goodness-of-fit -- Med medication -- AAP age-adjusted prevalence -- T2D type 2 diabetes; Metabolic syndrome -- Latent class analysis -- Coronary heart disease -- NECP-ATPIII criteria -- MESA -- USA; Cardiology -- Periodicals; Electronic journals; 616.12
• DOI: 10.1016/j.ijcard.2018.05.080
• Languages: English
• ISSNs: 0167-5273

Abstract

Abstract: Background: The Metabolic syndrome (MetS), refers to one of the most challenging public health issues across the world. The aim of this study was to explore the clusters of participants on the basis of MetS components and determine its effect on coronary heart disease (CHD). Methods: This study used the information from Multi-Ethnic Study of Atherosclerosis (MESA). MESA was performed at 6 US sites and was a population-based cohort study of 6776 adults (3576 females; 3200 males), aged 45 to 84 years. The participants were free of clinical cardiovascular disease at baseline. Latent class analysis (LCA) was conducted to achieve the study's objectives. The outcome variable was CHD during the study period (2000−2012). Results: The prevalence of all Mets components (except triglyceride (TG) and fasting blood glucose (FBS)) is more common in females than in males. Three latent classes were recognized: (1) Non-MetS, (2) low risk, and (3) MetS. Notably, MetS latent class included 29.88% and 35.38% in females and males, respectively. After adjustment for covariates (e.g. demographic, biomarker etc.), MetS latent class showed a positive association with CHD events in both genders. Conclusions: Results showed that clustering pattern of the MetS components, as well as the association between latent classes and risk of incident CHD events, are different in females and males. Notable percentages of individuals are in the MetS class, which emphasizes the necessity of implementing preventive interventions for this sub-group of the population. Highlights: Age-standardization were done using WHO standard world population of 2000. Five dichotomous observable variables, including components of metabolic syndrome were considered in LCA. The visual agreement between the results of LCA model and NCEP components of the MetS criteria was compared. In this study, Association of the latent classes with incidence of CHD was assessed.