Approaches for quantifying energy intake and %calorie restriction during calorie restriction interventions in humans: the multicenter CALERIE study

Author:

Racette Susan B.1,Das Sai Krupa2,Bhapkar Manjushri3,Hadley Evan C.4,Roberts Susan B.2,Ravussin Eric5,Pieper Carl6,DeLany James P.57,Kraus William E.6,Rochon James3,Redman Leanne M.5,

Affiliation:

1. Washington University School of Medicine, St. Louis, Missouri;

2. Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts;

3. Duke Clinical Research Institute, Durham, North Carolina;

4. National Institute on Aging, Bethesda, Maryland;

5. Pennington Biomedical Research Center, Baton Rouge, Louisiana;

6. Duke University School of Medicine, Durham, North Carolina

7. University of Pittsburgh, Pittsburgh, Pennsylvania; and

Abstract

Calorie restriction (CR) is a component of most weight loss interventions and a potential strategy to slow aging. Accurate determination of energy intake and %CR is critical when interpreting the results of CR interventions; this is most accurately achieved using the doubly labeled water method to quantify total energy expenditure (TEE). However, the costs and analytical requirements of this method preclude its repeated use in many clinical trials. Our aims were to determine 1) the optimal TEE assessment time points for quantifying average energy intake and %CR during long-term CR interventions and 2) the optimal approach for quantifying short-term changes in body energy stores to determine energy intake and %CR during 2-wk DLW periods. Adults randomized to a CR intervention in the multicenter CALERIE study underwent measurements of TEE by doubly labeled water and body composition at baseline and months 1, 3, and 6. Average %CR achieved during the intervention was 24.9 ± 8.7%, which was computed using an approach that included four TEE assessment time points (i.e., TEEbaseline, months 1, 3, and 6) plus the 6-mo change in body composition. Approaches that included fewer TEE assessments yielded %CR values of 23.4 ± 9.0 (TEEbaseline, months 3 and 6), 25.0 ± 8.7 (TEEbaseline, months 1 and 6), and 20.9 ± 7.1% (TEEbaseline, month 6); the latter approach differed significantly from approach 1 ( P < 0.001). TEE declined 9.6 ± 9.9% within 2–4 wk of CR beginning and then stabilized. Regression of daily home weights provided the most reliable estimate of short-term change in energy stores. In summary, optimal quantification of energy intake and %CR during weight loss necessitates a TEE measurement within the first month of CR to capture the rapid reduction in TEE.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology,Endocrinology, Diabetes and Metabolism

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