Metabolic Syndrome Indicators and Cardiovascular/Endocrine Risks in Rural Ecuador: A Cross-Sectional Study.

Abstract

Background/Objectives: This study assessed the prevalence of metabolic syndrome (MetS) and its association with cardiovascular and endocrine diseases in a rural Ecuadorian parish population. Methods: This cross-sectional study included 200 participants. Descriptive statistics were computed for glucose, total cholesterol, and triglyceride levels. Logistic regression estimated the odds ratios (ORs) for the likelihood of cardiovascular (hypertension, coronary artery disease, stroke) and endocrine diseases (diabetes and other metabolic disorders) in relation to MetS biomarkers. Results: The study included 200 participants, with average glucose (123.09 mg/dL), cholesterol (229.58 mg/dL), and triglycerides (188.75 mg/dL) levels exceeding standard thresholds. Logistic regression analysis showed that glucose was the strongest predictor, increasing cardiovascular disease odds by 6.9% (OR = 1.069, p < 0.001) and endocrine disease odds by 11.8% (OR = 1.118, p < 0.001) after adjustment. Cholesterol and triglycerides also significantly contributed to the risk of both diseases. The models demonstrated a high predictive performance (AUC: 0.933 for cardiovascular disease and 0.993 for endocrine diseases). Conclusions: MetS was significantly associated with cardiovascular and endocrine disease risks in the rural population. Integrating personalized healthcare, such as tailored dietary counseling, culturally adapted interventions, and mobile health technologies, is crucial for improving the early detection and management of MetS in underserved communities.