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Relative fat mass as an estimator of body fat percentage in Chilean adults.
Aguirre, Carolina; Tumani, María Fernanda; Carrasco, Fernando; Inostroza, Jorge; Obregón, Ana María; Reyes, Álvaro; Pettinelli, Paulina.
Afiliación
  • Aguirre C; Departmento de Nutrición y Dietética, Escuela de Ciencias de la Salud, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Tumani MF; Departmento de Nutrición y Dietética, Escuela de Ciencias de la Salud, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Carrasco F; Department of Nutrition, Faculty of Medicine, University of Chile, Independencia, Santiago, Chile.
  • Inostroza J; Department of Nutrition, Faculty of Medicine, University of Chile, Independencia, Santiago, Chile.
  • Obregón AM; Escuela de Nutrición y Dietética, Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Concepción, Chile.
  • Reyes Á; Exercise and Rehabilitation Sciences Laboratory, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago, Chile.
  • Pettinelli P; European Renal Association Headquarters, Parma, Italy. ppettinelli@gmail.com.
Eur J Clin Nutr ; 78(9): 782-787, 2024 Sep.
Article en En | MEDLINE | ID: mdl-38942896
ABSTRACT
BACKGROUND/

OBJECTIVE:

The Relative Fat Mass (RFM) is an alternative index to body mass index (BMI) for estimating whole body fat percentage (BF%). Our aims were to determine the accuracy of the RFM for 1) identifying individuals with elevated BF% and, 2) estimating the BF% compared to Dual-energy X-ray absorptiometry (DXA) in a Chilean adult population. SUBJECTS/

METHODS:

Body composition was assessed by DXA in 270 healthy participants (125 women/145 men). Anthropometric measurements were assessed to calculate RFM and BMI. Receiver operating characteristic (ROC) curves were obtained to assess the sensitivity and specificity of both, RFM and BMI. Bland-Altman analysis between BF% measured by DXA vs. predicted BF% derived from RFM was performed to assess validity. Pearson´s correlation coefficients to analyze the association between BMI, RFM and DXA were also calculated.

RESULTS:

For RFM, the cut-off for elevated BF% was ≥22.7% for men and ≥32.4% for women and for BMI was ≥24.4 kg/m2 for men and ≥24.1 kg/m2 for women. The area under the ROC curve between RFM and BMI was not significantly different in men (0.970 vs. 0.959; p = 0.420) and women (0.946 vs. 0.942, p = 0.750). The Bland-Altman analysis showed that the estimation bias is more pronounced in men than in women.

CONCLUSION:

RFM is an accurate tool for identifying individuals with elevated BF%, although it was not as accurate as DXA for estimating the BF%. RFM may be an alternative method useful in primary care to select individuals for lifestyle counseling and in research to select patients for epidemiological studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Composición Corporal / Absorciometría de Fotón / Índice de Masa Corporal / Tejido Adiposo Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: America do sul / Chile Idioma: En Revista: Eur J Clin Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2024 Tipo del documento: Article País de afiliación: Chile Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Composición Corporal / Absorciometría de Fotón / Índice de Masa Corporal / Tejido Adiposo Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: America do sul / Chile Idioma: En Revista: Eur J Clin Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2024 Tipo del documento: Article País de afiliación: Chile Pais de publicación: Reino Unido