Accuracy of aggregate 2-and 3-component models of body composition relative to 4-component for the measurement of changes in fat mass during weight loss in overweight and obese subjects

Jose Lara, Alexandra M Johnstone, Jonathan Wells, Susan Jebb, Mario Siervo

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The 4-component (4-C) model is the reference method to measure fat mass (FM). Simpler 2-component (2-C) models are widely used to assess FM. We hypothesised that an aggregate 2-C model may improve accuracy of FM assessment during weight loss (WL). One hundred and six overweight and obese men and women were enrolled in different WL programs (fasting, very low energy diet, low energy diet). Body density, bone mineral content, and total body water were measured. FM was calculated using 2-C, 3-C, and 4-C models. Aggregate equations for 2-C, 3-C, and 4-C models were calculated, with the aggregate 4-C model assumed as the reference method. The aggregate approach postulates that the average of the individual estimates obtained from each model is more accurate than the best single measurement. The average WL was -7.5 kg. The agreement between 3-C and 4-C models for FM change was excellent (R-2 = 0.99). The aggregate 2-C equation was more accurate than individual 2-C estimates in measuring changes in FM. The aggregate model was characterised by a lower measurement error at baseline and post-WL. The relationship between the aggregate 3-C and 4-C component models was highly linear (R-2 = 0.99), whereas a lower linearity was found for the aggregate 2-C and 4-C model (R-2 = 0.72). The aggregate 2-C model is characterised by a greater accuracy than commonly applied 2-C equations for the measurement of FM during WL in overweight and obese men and women.

Original languageEnglish
Pages (from-to)871-879
Number of pages9
JournalApplied Physiology Nutrition and Metabolism / Physiologie Appliquée, Nutrition et Métabolisme
Volume39
Issue number8
Early online date20 Feb 2014
DOIs
Publication statusPublished - Aug 2014

Keywords

  • fat mass
  • multicomponent models
  • accuracy
  • weight loss
  • mlticompartment models
  • 4-compartment models
  • postmenopausal women
  • sarcopenic obesity
  • critical-appraisal
  • high-protein
  • soft-tissue
  • diet
  • men
  • density

Cite this

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title = "Accuracy of aggregate 2-and 3-component models of body composition relative to 4-component for the measurement of changes in fat mass during weight loss in overweight and obese subjects",
abstract = "The 4-component (4-C) model is the reference method to measure fat mass (FM). Simpler 2-component (2-C) models are widely used to assess FM. We hypothesised that an aggregate 2-C model may improve accuracy of FM assessment during weight loss (WL). One hundred and six overweight and obese men and women were enrolled in different WL programs (fasting, very low energy diet, low energy diet). Body density, bone mineral content, and total body water were measured. FM was calculated using 2-C, 3-C, and 4-C models. Aggregate equations for 2-C, 3-C, and 4-C models were calculated, with the aggregate 4-C model assumed as the reference method. The aggregate approach postulates that the average of the individual estimates obtained from each model is more accurate than the best single measurement. The average WL was -7.5 kg. The agreement between 3-C and 4-C models for FM change was excellent (R-2 = 0.99). The aggregate 2-C equation was more accurate than individual 2-C estimates in measuring changes in FM. The aggregate model was characterised by a lower measurement error at baseline and post-WL. The relationship between the aggregate 3-C and 4-C component models was highly linear (R-2 = 0.99), whereas a lower linearity was found for the aggregate 2-C and 4-C model (R-2 = 0.72). The aggregate 2-C model is characterised by a greater accuracy than commonly applied 2-C equations for the measurement of FM during WL in overweight and obese men and women.",
keywords = "fat mass, multicomponent models, accuracy, weight loss, mlticompartment models, 4-compartment models, postmenopausal women, sarcopenic obesity, critical-appraisal, high-protein, soft-tissue, diet, men , density",
author = "Jose Lara and Johnstone, {Alexandra M} and Jonathan Wells and Susan Jebb and Mario Siervo",
year = "2014",
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language = "English",
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pages = "871--879",
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publisher = "National Research Council of Canada",
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TY - JOUR

T1 - Accuracy of aggregate 2-and 3-component models of body composition relative to 4-component for the measurement of changes in fat mass during weight loss in overweight and obese subjects

AU - Lara, Jose

AU - Johnstone, Alexandra M

AU - Wells, Jonathan

AU - Jebb, Susan

AU - Siervo, Mario

PY - 2014/8

Y1 - 2014/8

N2 - The 4-component (4-C) model is the reference method to measure fat mass (FM). Simpler 2-component (2-C) models are widely used to assess FM. We hypothesised that an aggregate 2-C model may improve accuracy of FM assessment during weight loss (WL). One hundred and six overweight and obese men and women were enrolled in different WL programs (fasting, very low energy diet, low energy diet). Body density, bone mineral content, and total body water were measured. FM was calculated using 2-C, 3-C, and 4-C models. Aggregate equations for 2-C, 3-C, and 4-C models were calculated, with the aggregate 4-C model assumed as the reference method. The aggregate approach postulates that the average of the individual estimates obtained from each model is more accurate than the best single measurement. The average WL was -7.5 kg. The agreement between 3-C and 4-C models for FM change was excellent (R-2 = 0.99). The aggregate 2-C equation was more accurate than individual 2-C estimates in measuring changes in FM. The aggregate model was characterised by a lower measurement error at baseline and post-WL. The relationship between the aggregate 3-C and 4-C component models was highly linear (R-2 = 0.99), whereas a lower linearity was found for the aggregate 2-C and 4-C model (R-2 = 0.72). The aggregate 2-C model is characterised by a greater accuracy than commonly applied 2-C equations for the measurement of FM during WL in overweight and obese men and women.

AB - The 4-component (4-C) model is the reference method to measure fat mass (FM). Simpler 2-component (2-C) models are widely used to assess FM. We hypothesised that an aggregate 2-C model may improve accuracy of FM assessment during weight loss (WL). One hundred and six overweight and obese men and women were enrolled in different WL programs (fasting, very low energy diet, low energy diet). Body density, bone mineral content, and total body water were measured. FM was calculated using 2-C, 3-C, and 4-C models. Aggregate equations for 2-C, 3-C, and 4-C models were calculated, with the aggregate 4-C model assumed as the reference method. The aggregate approach postulates that the average of the individual estimates obtained from each model is more accurate than the best single measurement. The average WL was -7.5 kg. The agreement between 3-C and 4-C models for FM change was excellent (R-2 = 0.99). The aggregate 2-C equation was more accurate than individual 2-C estimates in measuring changes in FM. The aggregate model was characterised by a lower measurement error at baseline and post-WL. The relationship between the aggregate 3-C and 4-C component models was highly linear (R-2 = 0.99), whereas a lower linearity was found for the aggregate 2-C and 4-C model (R-2 = 0.72). The aggregate 2-C model is characterised by a greater accuracy than commonly applied 2-C equations for the measurement of FM during WL in overweight and obese men and women.

KW - fat mass

KW - multicomponent models

KW - accuracy

KW - weight loss

KW - mlticompartment models

KW - 4-compartment models

KW - postmenopausal women

KW - sarcopenic obesity

KW - critical-appraisal

KW - high-protein

KW - soft-tissue

KW - diet

KW - men

KW - density

U2 - 10.1139/apnm-2013-0424

DO - 10.1139/apnm-2013-0424

M3 - Article

VL - 39

SP - 871

EP - 879

JO - Applied Physiology Nutrition and Metabolism / Physiologie Appliquée, Nutrition et Métabolisme

JF - Applied Physiology Nutrition and Metabolism / Physiologie Appliquée, Nutrition et Métabolisme

SN - 1715-5312

IS - 8

ER -