ADAPTATION AND PSYCHOMETRIC ANALYSIS OF THE EATING HABITS QUESTIONNAIRE IN MEDICAL STUDENTS FROM LIMA

Orihuela-Manrique E.J.; Escudero Nolasco J.C.; Iturregui Paucar C.; Vera-Ponce V.J.; Torres-Malca J.R. · Revista de la Facultad de Medicina Humana (2026) · DOI: 10.25176/rfmh.v26i1.6716

Resumen

Introduction: The assessment of eating habits related to overweight and obesity in university students requires instruments with psychometric evidence in the local context. Objectives: To adapt and conduct a psychometric analysis of the original version of a questionnaire for the assessment and quantification of lifestyle habits related to overweight and obesity among medical students in Lima. Methods: The study used an instrumental design. It included 600 medical students from two private universities, selected through non-probabilistic convenience sampling. The analysis verified the factorability of the matrix and compared five-, six-, and seven-factor models. Exploratory factor analysis and confirmatory factor analysis were conducted, and internal consistency was estimated using McDonald's Omega coefficient (ω). Results: The evaluated models showed adequate fit in the Root Mean Square Error of Approximation (RMSEA) and the Standardized Root Mean Square Residual (SRMR), with RMSEA < 0.06 and SRMR < 0.08. The six-factor model achieved the best overall performance, showing adequate fit in the Comparative Fit Index (CFI) and the Tucker-Lewis Index (TLI), with values >0.95, whereas the five-factor model showed acceptable fit with values >0.90. Omega (ω) values indicated adequate internal consistency, with values >0.7. Conclusion: The questionnaire demonstrated favorable psychometric properties for use in medical students in Lima, supporting its application for assessing eating habits related to overweight and obesity. Article published by the Revista de la Facultad de Medicina Humana of Universidad Ricardo Palma. It is an open access article, distributed under the terms of the Creative Commons License: Creative Commons Attribution 4.0 International, CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/non-commercial use, distribution and reproduction in any medium, provided that the original work is duly cited.

Instituciones: Universidad Nacional Mayor de San Marcos; Universidad Ricardo Palma; Universidad Tecnológica del Perú; Universidad Privada del Norte