Validation of an inexpensive and accurate mathematical method to measure long-term changes in free-living energy intake

卷:102

Sanghvi, Arjun ; Redman, Leanne M. ; Martin, Corby K. ; Ravussin, Eric ; Hall, Kevin D.

关键词: caloric restriction;    dietary assessment;    energy balance;    energy intake;    mathematical modeling;    weight loss;   

DOI  :  10.3945/ajcn.115.111070

学科分类：食品科学和技术

【 摘 要 】

Background: Accurate measurement of free-living energy intake (El) over long periods is imperative for understanding obesity and its treatment. Unfortunately, traditional methods rely on self-report and are notoriously inaccurate. Although El can be indirectly estimated by the intake-balance method, this technique is prohibitively labor-intensive and expensive, requiring repeated measures of energy expenditure via doubly labeled water (DLW) along with multiple dual-energy X-ray absorptiometry (DXA) scans to measure changes in body energy stores. Objective: Our objective was to validate a mathematical method to measure long-term changes in free-living energy intake. Design: We measured body weight and El changes (Delta EI) over 4 time intervals by using the intake-balance method in 140 individuals who underwent 2 y of caloric restriction as part of the Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy study. We compared the Delta EI values calculated by using DLW/DXA with those obtained by using a mathematical model of human metabolism whose only inputs were the initial demographic information and repeated body weight data. Results: The mean Delta EI values calculated by the model were within 40 kcal/d of the DLW/DXA method throughout the 2-y study. For individual subjects, the overall root mean square deviation between the model and DLW/DXA method was 215 kcal/d, and most of the model-calculated Delta EI values were within 132 kcal/d of the DLW/DXA method. Conclusions: Accurate and inexpensive estimates of Delta EI that are comparable to the DLW/DXA method can be obtained by using a mathematical model and repeated body weight measurements. This trial was registered at clinicaltrials.gov as NCT00427193.