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December 20, 2025Open Access

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

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Authors

ASAdriana Guzmán SánchezLSLilibeth Sánchez-GüetteAQArmando Monterrosa Quintero

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Overview

Cross-sectional analysis identifies significance of sociodemographics on health outcomes in Colombian adults, highlighting interventions for Non-Communicable Diseases.

Key Points

  • Identify predictors of chronic disease outcomes in a Colombian population to inform targeted interventions.
  • Cross-sectional analysis of 2495 patients from Bogotá’s public health facilities.
  • Examined associations between sociodemographic and clinical variables.
  • Utilized chi-square tests for bivariate associations and multivariable logistic regression for predictions.
  • Women displayed higher obesity rates at 81% compared to men (19%), with significant differences in health statuses.
  • Underweight and obesity were linked to reduced odds of pulmonary alteration compared to overweight.
  • Lack of education increased odds of mental alteration, highlighting the influence of sociodemographics.

Cite This Study

Sánchez et al. (2025) studied this question.

synapsesocial.com/papers/6945e9325151ab1219e4d5efhttps://doi.org/10.20944/preprints202512.1197.v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Sociodemographic and Clinical Predictors of Chronic Disease Outcomes in a Colombian Population: A Cross-Sectional Analysis of 2495 Patients2026
  2. 2Self-Reported Prevalence of Chronic Non-Communicable Diseases Concerning Socioeconomic and Educational Factors: Analysis of the PURE-Ecuador Cohort2025 · 5 citations
  3. 3Sex Differences in Cardiovascular Disease Risk Factor Prevalence, Morbidity, and Mortality in Colombia: Findings from the Prospective Urban Rural Epidemiology (PURE) Study2024 · 10 citations
  4. 4Adherence, burden, and morbidity of chronic diseases in an outpatient clinic: A-CaMo I2024
  5. 5Assessing the Impact of COVID-19 on Multimorbidity: Insights from Structural Equation Modeling in Colombia2024