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Effect of dietary adherence on the body weight plateau: a mathematical model incorporating intermittent compliance with energy intake prescription.

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25080458
PMC4135489
The American journal of clinical nutrition
Sept. 1, 2014
From the Center for Quantitative Obesity Research, Montclair State University, Montclair, NJ (DMT); the Pennington Biomedical Research Center, Baton Rouge, LA (CKM, LMR, SBH, and CB); the Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA (SL); Obesity Solutions, Mayo Clinic, Arizona State University, Phoenix, AZ (JAL); and Nutritional Sciences, University of Wisconsin, Madison, WI (DAS).
Hyperphagia, Canada, Patient Compliance, Energy Metabolism, Caloric Restriction, Overweight, Diet, Reducing, Recurrence, Energy Intake, Weight Gain, Weight Loss, Male, Software, Nutrition Surveys, Models, Biological, Adult, United States, Obesity, Humans, Female, Cohort Studies
HL102166, R15 DK090739-01, U01 DK094418, U01DK094418, DK089051, R00HD060762, U01 AG20478, P30 DK072476
Bouchard C, Martin CK, Redman LM, Lettieri S, Schoeller DA, Levine JA, Thomas DM, Heymsfield SB
Thomas DM, Martin CK, Redman LM, Heymsfield SB, Lettieri S, Levine JA, Bouchard C, Schoeller DA. Effect of dietary adherence on the body weight plateau: a mathematical model incorporating intermittent compliance with energy intake prescription. The American journal of clinical nutrition 2014 Sep.

Abstract

BACKGROUND: Clinical weight loss in individuals typically stabilizes at 6 mo. However, validated models of dynamic energy balance have consistently shown weight plateaus between 1 and 2 y. The cause for this discrepancy is unclear. OBJECTIVE: We developed 2 mathematical models on the basis of the first law of thermodynamics to investigate plausible explanations for reaching an early weight plateau at 6 mo. METHODS: The first model was an energy-expenditure adaptation model and was applied to determine the degree of metabolic adaptation required to generate this plateau. The second model was an intermittent lack-of-adherence model formulated by using a randomly fluctuating energy intake term accounting for intermittent noncompliance in dietary intake to reach this plateau. To set model variables, validate models, and compare free-living weight-loss patterns to in-residence supervised programs, we applied the following 4 different studies: The US NHANES 1999-2004, Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE) weight-loss study, the Bouchard Twin overfeeding study, and the Minnesota Starvation Experiment. RESULTS: The metabolic adaptation model increased final weight but did not affect the predicted plateau time point. The intermittent lack-of-adherence model generated oscillating weight graphs that have been frequently observed in weight-loss studies. The model showed that a 6-mo weight-loss plateau can be attained despite what can be considered as high diet adherence. The model was programmed as a downloadable application. CONCLUSIONS: An intermittent lack of diet adherence, not metabolic adaptation, is a major contributor to the frequently observed early weight-loss plateau. The new weight-loss prediction software, which incorporates an intermittent lack of adherence, can be used to guide and inform patients on realistic levels of adherence on the basis of patient lifestyle.