Abstract

Background Excess fat mass (FM) has a higher risk of producing sarcopenia, physical deterioration and reduced quality of life in older people. Aim To propose regression equations based on the Body Mass Index (BMI) to predict fat mass using double energy X-ray absorptiometry (DXA) as the gold standard. Material and methods Cross-sectional study in 1,188 participants (523 men and 665 women) aged 60 to 85 years. Ten percent of these (59 men and 60 women) were randomly selected to propose FM equations using DXA. The remaining 90% was used to calculate FM and develop percentiles. Results Two equations were proposed to estimate FM [men: FM = -29,502+ (1,912 * BMI) R2 = 79%, women: FM = -9,891+ (1,323 * BMI) R2 = 80%]. Ten, 50, 85 and 95 percentiles were developed to evaluate FM. Conclusions This study developed reliable regression equations and referential values to estimate FM in older people.

Highlights

  • Validez de ecuaciones y propuesta de valores referenciales para estimar la masa grasa de adultos mayores

  • Development of equations based on Body Mass Index to estimate fat mass in older people Background: Excess fat mass (FM) has a higher risk of producing sarcopenia, physical deterioration and reduced quality of life in older people

  • Aim: To propose regression equations based on the Body Mass Index (BMI) to predict fat mass using double energy X-ray absorptiometry (DXA) as the gold standard

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Summary

Artículo de investigación

Hasta donde se sabe, en Chile no se han identificado estudios en adultos mayores (AM), en el que propongan ecuaciones de regresión para predecir la MG, además, ante la incomodidad de utilizar métodos complejos que requieran equipamiento e infraestructura sofisticados, esta investigación destaca que el índice de masa corporal es la medida tradicional que se ha utilizado históricamente para evaluar la adiposidad corporal en diversas poblaciones y etapas de la vida. Los objetivos de este estudio son proponer ecuaciones de regresión basadas en el uso del IMC para predecir la MG, utilizando como método estándar la DXA y desarrollar percentiles para categorizar los niveles de MG entre los AM según rango de edad y sexo

Material y Métodos
Presión arterial
MG Ecuación
Full Text
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