Concordancia de ecuaciones predictivas del gasto energético basal en adultos sanos de Chillán, Chile, 2025
Fecha
2025-06-20Autor
Endrussat Araya, Geraldine Laura
Orrego Ubilla, Bárbara Daniela
López Espinoza, Miguel Ángel
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Introduction: Basal Energy Expenditure (GEB) is an essential parameter both in dietary management in the clinical care setting and for food and nutrition planning in daily life. life. Currently, there are several predictive equations to estimate GEB, which raises the question if their results are interchangeable. Objective: To evaluate the agreement between various GEB predictive equations in adults from the city of Chillán (capital of the Ñuble region, Chile). Materials and methods: Concurrent agreement study. The Harris-Benedict, Mifflin, FAO/WHO/ UN equations and one with local data, called López- Valenzuela; in a sample of 102 adults of both sexes between 18-77 years old selected by conglomerate sample. Intraclass contribution coefficients (ICC) were calculated and the Bland-Altman graph was used, with R-Studio. Results: 49% were between 18 and 44 years old and 51% were between 45 and 77 years old. The highest ICCs were between the Harris-Benedict versus FAO/WHO/UN formulas (0.94; 95% CI: 0.91 – 0.96) and between Harris-Benedict versus López- Valenzuela (0.93; 95% CI: 0.89 – 0.95), while the lowest were between Mifflin versus FAO/WHO/UN (0.42; 95%: 0.25 – 0.57) and between Harris-Benedict versus Mifflin (0.51; 95% CI: 0.36 – 0.64). The Bland-Altman plots revealed positive bias when comparing the results between the Harris-Benedict and López-Valenzuela equations, and a negative bias when contrasting Mifflin with López-Valenzuela and FAO/ WHO/UN. Conclusions: Not all GEB predictive equations are interchangeable, which underlines the importance of carefully selecting the equation according to the specific characteristics of the population evaluated. Arch Latinoam Nutr 2025; 75(2): 108-117 Introduction: Basal Energy Expenditure (GEB) is an essential parameter both in dietary management in the clinical care setting and for food and nutrition planning in daily life. life. Currently, there are several predictive equations to estimate GEB, which raises the question if their results are interchangeable. Objective: To evaluate the agreement between various GEB predictive equations in adults from the city of Chillán (capital of the Ñuble region, Chile). Materials and methods: Concurrent agreement study. The Harris-Benedict, Mifflin, FAO/WHO/ UN equations and one with local data, called López- Valenzuela; in a sample of 102 adults of both sexes between 18-77 years old selected by conglomerate sample. Intraclass contribution coefficients (ICC) were calculated and the Bland-Altman graph was used, with R-Studio. Results: 49% were between 18 and 44 years old and 51% were between 45 and 77 years old. The highest ICCs were between the Harris-Benedict versus FAO/WHO/UN formulas (0.94; 95% CI: 0.91 – 0.96) and between Harris-Benedict versus López- Valenzuela (0.93; 95% CI: 0.89 – 0.95), while the lowest were between Mifflin versus FAO/WHO/UN (0.42; 95%: 0.25 – 0.57) and between Harris-Benedict versus Mifflin (0.51; 95% CI: 0.36 – 0.64). The Bland-Altman plots revealed positive bias when comparing the results between the Harris-Benedict and López-Valenzuela equations, and a negative bias when contrasting Mifflin with López-Valenzuela and FAO/ WHO/UN. Conclusions: Not all GEB predictive equations are interchangeable, which underlines the importance of carefully selecting the equation according to the specific characteristics of the population evaluated. Arch Latinoam Nutr 2025; 75(2): 108-117.
