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April 12, 2026Healthcare0 citationsOpen Access

Cardiometabolic Risk Determinants in a University Community: Beyond Chronological Age to Anthropometric Impact

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OAOscar AraqueLSLuz Adriana Sánchez-EcheverriICIvonne X. Cerón

Key Points

  • The study aims to evaluate cardiovascular risk profiles in a university community using various health indicators.
  • Conducted a cross-sectional, observational study.
  • Evaluated haemodynamic parameters including SBP and DBP.
  • Assessed anthropometric indicators such as BMI and waist-to-height ratio.
  • Analyzed biochemical indicators including lipid profiles.
  • Employed multiple linear regression to identify predictors of SBP.
  • Older age groups exhibited significantly higher SBP levels, reaching stage 1 hypertension by the sixth decade.
  • The study found consistently high atherogenic index across all groups.
  • BMI was identified as the strongest predictor of SBP variability (β = 1.18).
  • Men presented earlier haemodynamic risks, while women experienced post-menopausal hypertension and metabolic issues.

Abstract

Objectives: Cardiovascular diseases (CVDs) represent the main global burden of morbidity and mortality, with an accelerated epidemiological transition in regions such as Latin America. The university environment constitutes a period of critical vulnerability due to increased sedentary lifestyles and cardiometabolic risk factors. The objective of this study was to evaluate the cardiovascular risk profile in a university community in the central Andean region of Colombia using anthropometric, haemodynamic and biochemical indicators. Methods: A cross-sectional, observational, and analytical study was conducted on a sample of n = 143 participants (students, teachers, and administrators) aged between 18 and 80 years. Haemodynamic parameters (SBP, DBP, MAP), anthropometric parameters (BMI, % body fat, waist-to-height ratio WC/W) and lipid profile were evaluated. Statistical analysis included multiple linear regression models to determine predictors of systolic blood pressure (SBP). Results: Significantly higher levels of SBP were found in the older age groups compared with the younger age groups, reaching stage 1 hypertension levels in the sixth decade. The biochemical profile revealed metabolic deterioration with an atherogenic index (TC/HDL) consistently above the clinical threshold (>4.5) in all groups. The regression model BMI was identified as the statistical predictor with the strongest association with SBP variability in the sample (β = 1.18), followed by age (β = 0.28). A marked sexual dimorphism was observed, with men presenting early haemodynamic risk, while women experienced an accelerated post-menopausal tension and metabolic crisis. Conclusions: The university community presents latent cardiometabolic vulnerability closely linked to modifiable anthropometric factors. These findings underscore the urgency of implementing institutional preventive health policies and weight control intervention programmes to mitigate the future burden of chronic diseases on campus.

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Cite This Study

Araque et al. (2026) studied this question.

synapsesocial.com/papers/69db38534fe01fead37c689ehttps://doi.org/10.3390/healthcare14081002
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