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Metabolic Syndrome Components and Long-Term Incidence of Cardiovascular Disease in Eastern Mediterranean Region: A 13-Year Population-Based Cohort Study Publisher Pubmed



Mansourian M1, 2 ; Babahajiani M3 ; Jafarikoshki T4, 5 ; Roohafza H6 ; Sadeghi M6 ; Sarrafzadegan N2, 7
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Authors Affiliations
  1. 1. Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Student Research Committee, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran
  4. 4. Medical Education Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
  5. 5. Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Attar-Neyshabouri Street, Tabriz, 5166616471, Iran
  6. 6. Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  7. 7. School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada

Source: Metabolic Syndrome and Related Disorders Published:2019


Abstract

Background: The risk of cardiovascular events in individuals with metabolic syndrome (MetS) is higher than in general populations. We aimed at assessing the association between cardiovascular disease (CVD) and MetS and at identifying triple components that are the most predictive of future CVD events. Methods: Data on 1387 CVD-free individuals recruited in an ongoing cohort in Isfahan, Iran (ICS) were analyzed. This included serum tests and health and lifestyle questionnaires measured at baseline in 2001, 2007, and 2013. The association between CVD and MetS, irrespective of composing components, was evaluated by using logistic regression. The hazard ratio (HR) of CVD events after MetS diagnosis was calculated for different combinations by using Cox PH regression. Results: The prevalence of MetS was 34.4% at baseline, 19.5% of which was with diabetes. The prevalence of hypertension (blood pressure [BP]) and hyperglycemia (fasting plasma glucose [FPG]) increased over time. Irrespective of composing components, the odds of developing CVD in MetS individuals was higher than in those who did not develop MetS with adjusted odds ratio = 1.76; 95% confidence intervals (CI) = 1.22-2.55. Among the five most prevalent triple combinations, there was a significant association between CVD incidence and high-density lipoprotein + BP + waist circumference combination only with HR = 1.66; 95% CI = 1.04-2.67. Conclusion: Some MetS components are more likely to result in CVD. Identifying the most predictive components could help in the timely initiation of proper interventions rather than waiting for all MetS components or symptoms of CVD. © 2019, Mary Ann Liebert, Inc.
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