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Rosalba Rojas-Martínez1, Consuelo Escamilla-Núñez2, Lilia Castro-Porras3

  • 1Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública. Cuernavaca, Morelos, México.. rrojas@insp.mx.

Salud Publica De Mexico
|February 20, 2025
PubMed
Summary

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This summary is machine-generated.

A new risk score effectively identifies undiagnosed adults at risk for prediabetes and diabetes in Mexico. This tool aids public health by pinpointing vulnerable individuals for targeted interventions.

Area of Science:

  • Public health research
  • Epidemiology
  • Biostatistics

Context:

  • Mexico faces a growing burden of diabetes and prediabetes.
  • Early detection is crucial for effective management and prevention.
  • The National Health and Nutrition Survey (Ensanut) provides valuable population data.

Purpose:

  • To design and validate a risk score for undiagnosed prediabetes and diabetes in Mexican adults.
  • To utilize data from the Ensanut Continua (2021-2023) for score development.
  • To inform public health policy and interventions.

Summary:

  • A logistic regression model was used to create a risk score for prediabetes and diabetes.
  • The score demonstrated a 68.3% sensitivity, 70.1% specificity, and 69.6% accuracy.

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  • Approximately 29% of the adult population studied was identified as being at risk.

    • Impact:

    • The risk score shows good performance for screening undiagnosed cases.
    • It enables the identification of high-risk individuals for targeted interventions.
    • Findings can guide health authorities in implementing preventive strategies.