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A computational model to determine energy intake during weight loss.(Author abstract)(Report)

Background: Energy intake (EI) during weight loss is difficult and costly to measure accurately. Objective: The objective was to develop and validate a computational energy balance differential equation model to determine individual EI during weight loss. Design: An algorithm was developed to quanti... Full description

Journal Title: American Journal of Clinical Nutrition Dec, 2010, Vol.92(6), p.1326(6)
Main Author: Thomas, Diana M.
Other Authors: Schoeller, Dale A. , Redman, Leanne A. , Martin, Corby K. , Levine, James A. , Heymsfield, Steven B.
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0002-9165
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recordid: gale_ofa243875128
title: A computational model to determine energy intake during weight loss.(Author abstract)(Report)
format: Article
creator:
  • Thomas, Diana M.
  • Schoeller, Dale A.
  • Redman, Leanne A.
  • Martin, Corby K.
  • Levine, James A.
  • Heymsfield, Steven B.
subjects:
  • Weight Loss -- Models
  • Weight Loss -- Research
  • Low Calorie Diet -- Research
  • Low Calorie Diet -- Physiological Aspects
ispartof: American Journal of Clinical Nutrition, Dec, 2010, Vol.92(6), p.1326(6)
description: Background: Energy intake (EI) during weight loss is difficult and costly to measure accurately. Objective: The objective was to develop and validate a computational energy balance differential equation model to determine individual EI during weight loss. Design: An algorithm was developed to quantify EI during weight loss based on a validated one-dimensional model for weight change. By using data from a 24-wk calorie-restriction study, we tested the validity of the EI model against 2 criterion measures: 1) EI quantified through food provision from weeks 0-4 and 4-12 and 2) EI quantified through changes in body energy stores [measured with dual-energy X-ray absorptiometry (DXA)] and energy expenditure [measured with doubly labeled water (DLW)] from weeks 4-12 and 12-24. Results: Compared with food provision, the mean ([+ or -]SD) model errors were 41 [+ or -] 118 kcal/d and -22 [+ or -] 230 kcal/d from weeks 0-4 and 4-12, respectively. Compared with EI measured with DXA and DLW, the model errors were -71 [+ or -] 272 kcal/d and -48 [+ or -] 226 kcal/d from weeks 4-12 and 12-24, respectively. In every comparison, the mean error was never significantly different from zero (P values > 0.10). Furthermore, Bland and Altman analysis indicated that error variance did not differ significantly over amounts of EI (P values > 0.26). Almost all individual participants' values were within CI limits. Conclusion: The validity of the newly developed EI model was supported by experimental observations and can be used to determine an individual participant's EI during weight loss. Am J Clin Nutr 2010;92:1326-31. doi: 10.3945/ajcn.2010.29687.
language: English
source:
identifier: ISSN: 0002-9165
fulltext: fulltext
issn:
  • 0002-9165
  • 00029165
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titleA computational model to determine energy intake during weight loss.(Author abstract)(Report)
creatorThomas, Diana M. ; Schoeller, Dale A. ; Redman, Leanne A. ; Martin, Corby K. ; Levine, James A. ; Heymsfield, Steven B.
ispartofAmerican Journal of Clinical Nutrition, Dec, 2010, Vol.92(6), p.1326(6)
identifierISSN: 0002-9165
subjectWeight Loss -- Models ; Weight Loss -- Research ; Low Calorie Diet -- Research ; Low Calorie Diet -- Physiological Aspects
descriptionBackground: Energy intake (EI) during weight loss is difficult and costly to measure accurately. Objective: The objective was to develop and validate a computational energy balance differential equation model to determine individual EI during weight loss. Design: An algorithm was developed to quantify EI during weight loss based on a validated one-dimensional model for weight change. By using data from a 24-wk calorie-restriction study, we tested the validity of the EI model against 2 criterion measures: 1) EI quantified through food provision from weeks 0-4 and 4-12 and 2) EI quantified through changes in body energy stores [measured with dual-energy X-ray absorptiometry (DXA)] and energy expenditure [measured with doubly labeled water (DLW)] from weeks 4-12 and 12-24. Results: Compared with food provision, the mean ([+ or -]SD) model errors were 41 [+ or -] 118 kcal/d and -22 [+ or -] 230 kcal/d from weeks 0-4 and 4-12, respectively. Compared with EI measured with DXA and DLW, the model errors were -71 [+ or -] 272 kcal/d and -48 [+ or -] 226 kcal/d from weeks 4-12 and 12-24, respectively. In every comparison, the mean error was never significantly different from zero (P values > 0.10). Furthermore, Bland and Altman analysis indicated that error variance did not differ significantly over amounts of EI (P values > 0.26). Almost all individual participants' values were within CI limits. Conclusion: The validity of the newly developed EI model was supported by experimental observations and can be used to determine an individual participant's EI during weight loss. Am J Clin Nutr 2010;92:1326-31. doi: 10.3945/ajcn.2010.29687.
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titleA computational model to determine energy intake during weight loss.(Author abstract)(Report)
descriptionBackground: Energy intake (EI) during weight loss is difficult and costly to measure accurately. Objective: The objective was to develop and validate a computational energy balance differential equation model to determine individual EI during weight loss. Design: An algorithm was developed to quantify EI during weight loss based on a validated one-dimensional model for weight change. By using data from a 24-wk calorie-restriction study, we tested the validity of the EI model against 2 criterion measures: 1) EI quantified through food provision from weeks 0-4 and 4-12 and 2) EI quantified through changes in body energy stores [measured with dual-energy X-ray absorptiometry (DXA)] and energy expenditure [measured with doubly labeled water (DLW)] from weeks 4-12 and 12-24. Results: Compared with food provision, the mean ([+ or -]SD) model errors were 41 [+ or -] 118 kcal/d and -22 [+ or -] 230 kcal/d from weeks 0-4 and 4-12, respectively. Compared with EI measured with DXA and DLW, the model errors were -71 [+ or -] 272 kcal/d and -48 [+ or -] 226 kcal/d from weeks 4-12 and 12-24, respectively. In every comparison, the mean error was never significantly different from zero (P values > 0.10). Furthermore, Bland and Altman analysis indicated that error variance did not differ significantly over amounts of EI (P values > 0.26). Almost all individual participants' values were within CI limits. Conclusion: The validity of the newly developed EI model was supported by experimental observations and can be used to determine an individual participant's EI during weight loss. Am J Clin Nutr 2010;92:1326-31. doi: 10.3945/ajcn.2010.29687.
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abstractBackground: Energy intake (EI) during weight loss is difficult and costly to measure accurately. Objective: The objective was to develop and validate a computational energy balance differential equation model to determine individual EI during weight loss. Design: An algorithm was developed to quantify EI during weight loss based on a validated one-dimensional model for weight change. By using data from a 24-wk calorie-restriction study, we tested the validity of the EI model against 2 criterion measures: 1) EI quantified through food provision from weeks 0-4 and 4-12 and 2) EI quantified through changes in body energy stores [measured with dual-energy X-ray absorptiometry (DXA)] and energy expenditure [measured with doubly labeled water (DLW)] from weeks 4-12 and 12-24. Results: Compared with food provision, the mean ([+ or -]SD) model errors were 41 [+ or -] 118 kcal/d and -22 [+ or -] 230 kcal/d from weeks 0-4 and 4-12, respectively. Compared with EI measured with DXA and DLW, the model errors were -71 [+ or -] 272 kcal/d and -48 [+ or -] 226 kcal/d from weeks 4-12 and 12-24, respectively. In every comparison, the mean error was never significantly different from zero (P values > 0.10). Furthermore, Bland and Altman analysis indicated that error variance did not differ significantly over amounts of EI (P values > 0.26). Almost all individual participants' values were within CI limits. Conclusion: The validity of the newly developed EI model was supported by experimental observations and can be used to determine an individual participant's EI during weight loss. Am J Clin Nutr 2010;92:1326-31. doi: 10.3945/ajcn.2010.29687.
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