Sociodemographic and Clinical Predictors of Chronic Disease Outcomes in a Colombian Population: A Cross-Sectional Analysis of 2495 Patients

Objectives: This study aimed to identify predictors of absence versus presence of alteration in system status to inform targeted interventions. Methods: In a cross-sectional analysis of 2495 patients (70.1% women) from Bogotá’s public health facilities (Colombia Open Data, 2023), associations were examined between sociodemographic factors (gender, age groups, education, ethnicity) and clinical variables (BMI, disability type, COVID-19 vaccination, psychiatric risk, dyspnea scale) with health outcomes. Chi-square tests identified bivariate associations, and multivariable logistic regression predicted absence of alteration (reference: presence of alteration), reporting odds ratios (ORs), 95% confidence intervals (CIs), and model fit indicators (deviance, AIC, McFadden’s R²). Outliers were removed using z-scores; significance was set at p