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Colegio de Medicina Interna de México.

2025, Number 07

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Med Int Mex 2025; 41 (07)

Validation of a regression equation to estimate body weight in the Peruvian population from ENDES 2022 and ENDES 2023

Guevara TA

Language: Spanish
References: 19
Page: 378-385
PDF size: 408.44 Kb.


ABSTRACT

Objective: To develop an equation to estimate body weight using abdominal circumference, height, and age in Peruvian adults.
Materials and Methods: Analytical study based on data from the Encuesta Demográfica y de Salud Familiar (ENDES 2022). In the population ENDES 2023 external validation was carried out. The variables were: body weight, age, height and abdominal circumference. Multiple linear regression was applied. The coefficient of determination (R²) and error metrics were determined: mean absolute error, root mean square error, and mean relative error.
Results: The ENDES 2022 sample was of 30,071 persons and the ENDES 2023 sample was of 31,247.The multiple linear regression model in ENDES 2022 had a coefficient of determination R² of 0.895, explaining 90% of the variability in body weight. The regression equation had a mean absolute error of 3.50 kg, root mean square error of 4.58 kg and mean relative error of 0.05, indicating high precision. The Spearman cor- relation was 0.943. When applying the model in ENDES 2023, the R² coefficient was 0.876, confirming its predictive capacity in an independent sample.
Conclusions: The regression equation based on abdominal perimeter, height and age is a reliable method to estimate body weight in Peruvian adults.


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