Prevalence of metabolic syndrome and its risk factors in Kerala, South India: Analysis of a community based cross-sectional study

PLoS One. 2018 Mar 27;13(3):e0192372. doi: 10.1371/journal.pone.0192372. eCollection 2018.

Abstract

Background: Coronary Artery Disease (CAD) is a leading cause of death and disability in Kerala, India. Metabolic syndrome (MS) is a constellation of established risk factors for CAD. We aimed to estimate the prevalence of MS and evaluate the association between MS and CAD using a community-based sample population.

Methods: A cross-sectional community based survey was conducted in urban and rural areas of Kerala in 2011. We included 5063 individuals for analysis. Age standardized prevalence of MS, associated diagnoses (hypertension, diabetes and hypercholesterolemia) and other potential risk factors were assessed for men and women in both urban and rural locations. Univariate and multivariate logistic regression models were developed to identify participant characteristics that are associated with MS.

Results: After standardization for age and adjustment for sex and urban-rural distribution, the prevalence of metabolic syndrome in Kerala was 24%, 29% and 33% for the NCEP ATP III, IDF and AHA/NHLBI Harmonization definitions, respectively. The mean (SD) age of the participants was 51 (14) years, and 60% were women. Women had a higher prevalence of MS than men (28% versus 20% for ATP III, p<0.001). Similarly, participants living in urban areas had higher prevalence of MS than their rural counterparts (26% versus 22%, p<0.001). Elevated body mass index, older age, and female sex were associated with MS in an adjusted multivariate model. The propensity for definite CAD was 1.7 times higher in individuals with MS defined based on ATP III criteria compared to those without MS (Adjusted OR = 1.69; 95% CI: 1.3-2.2, p<0.001).

Conclusions: One of four to one of three adult individuals in Kerala have MS based on different criteria. Higher propensity for CAD in individuals with MS in Kerala calls for urgent steps to prevent and control the burden of metabolic conditions.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Coronary Artery Disease / epidemiology
  • Cross-Sectional Studies
  • Female
  • Health Surveys / methods
  • Health Surveys / statistics & numerical data*
  • Humans
  • India / epidemiology
  • Logistic Models
  • Male
  • Metabolic Syndrome / epidemiology*
  • Middle Aged
  • Multivariate Analysis
  • Risk Factors
  • Rural Population / statistics & numerical data*
  • Urban Population / statistics & numerical data*
  • Young Adult

Associated data

  • figshare/3938863

Grants and funding

The study was funded exclusively by the Cardiological Society of India, Kerala Chapter; this is the professional organization of cardiologists in this region. The funders had no role in the design, data collection, analysis or interpretation or writing up of the article.