Defining metabolic syndrome and factors associated with metabolic syndrome in a poly-pharmaceutical population

Metabolic Syndrome (METs) definitions vary and diagnosis takes into account consumption of medications commonly prescribed for conditions defining METs. This paper evaluates the potential differences in population characteristics using two different methods of defining METs, with and without the adjustment of the effects of pharmacotherapy on biochemical and blood pressure (BP) measurements Methods: This was a cross-sectional study utilizing the Malaysian Elders Longitudinal Research (MELoR) cohort comprising urban community-dwellers aged ≥55 years. Participants were interviewed using a structured questionnaire during home visits where medications were reviewed. Health impacts assessed included heart disease, stroke, body mass index (BMI), peptic ulcers, arthritis, and number of medications and comorbidities. Risk factors and health impacts associated with METs were determined by Poisson multivariate regression models using a binary and count dependent variables.