Assessment of Clinical Metabolic Risk Score and Its Correlation with Anthropometric and Biochemical Parameters among Faculty Members of a Medical Institution: A Cross-Sectional Study

Abstract

Background: Cardiometabolic risk results from clustering of central adiposity, hyperglycaemia, dyslipidaemia and elevated blood pressure. The Clinical Metabolic Risk Score (CMRS) provides a simple composite approach to risk stratification. Methods: A cross-sectional Study was done on 100 participants including 60 male and 40 females. Anthropometric, blood pressure and biochemical variables were analysed and CMRS was calculated using sex-specific waist and HDL thresholds, fasting glucose, triglycerides and blood pressure. Spearman correlation and chi-square tests were used as appropriate. Material and Methods: A cross-sectional study was conducted among teaching faculty members aged >30 years at JIIUS IIMSR, Jalna, Maharashtra, after obtaining informed consent. Sociodemographic, lifestyle and medical history data were collected using a pre-tested structured form, along with anthropometric measurements, blood pressure and fasting biochemical parameters. Cardiometabolic risk was assessed using the Clinical Metabolic Risk Score (CMRS), ranging from 0-5, categorized as low (0-1), moderate (2-3) and high (4-5) risk. Data were analysed using appropriate statistical tests, with a p-value Results: In the combined illustrative dataset, mean age was 48.64±7.96 years and mean CMRS was 2.13±1.30. Thirty-three participants (33.0%) were in the low-risk category, 52 (52.0%) in the moderate-risk category and 15 (15.0%) in the high-risk category. CMRS showed significant positive correlations with BMI (rho = 0.659), waist circumference (rho = 0.419), waist-to-height ratio (rho = 0.485), fasting glucose (rho = 0.600) and triglycerides (rho=0.604), all p<0.001. HDL cholesterol was not significantly correlated with CMRS (rho = -0.080, p = 0.430). Conclusion: The illustrative analysis demonstrates that CMRS can summarise clustering of Cardiometabolic risk and is associated with several anthropometric and biochemical indicators.