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A computational model to determine energy intake during weight loss
Oleh:
Thomas, Diana M.
;
Schoeller, Dale A.
;
Redman, Leanne A.
;
Martin, Corby K.
;
Levine, James A.
;
Heymsfield, Steven B.
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
The American Journal of Clinical Nutrition vol. 92 no. 06 (Dec. 2010)
,
page 1326-1331 .
Topik:
Computational Energy Balance
Fulltext:
Am J Clin Nutr-2010-Thomas-1326-31.pdf
(250.08KB)
Ketersediaan
Perpustakaan FK
Nomor Panggil:
A07.K.2010.02
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
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 (±SD) model errors were 41 ± 118 kcal/d and -22 ± 230 kcal/d from weeks 0–4 and 4–12, respectively. Compared with EI measured with DXA and DLW, the model errors were -71 ± 272 kcal/d and -48 ± 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.
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