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A Simple Model Predicting Individual Weight Change in Humans.

Published on Nov 1, 2011in Journal of Biological Dynamics1.642
· DOI :10.1080/17513758.2010.508541
Diana M. Thomas31
Estimated H-index: 31
(MSU: Montclair State University),
Corby K. Martin49
Estimated H-index: 49
(Pennington Biomedical Research Center)
+ 3 AuthorsJames A. Levine63
Estimated H-index: 63
(Mayo Clinic)
Abstract
Excessive weight in adults is a national concern with over 2/3 of the US population deemed overweight. Because being overweight has been correlated to numerous diseases such as heart disease and type 2 diabetes, there is a need to understand mechanisms and predict outcomes of weight change and weight maintenance. A simple mathematical model that accurately predicts individual weight change offers opportunities to understand how individuals lose and gain weight and can be used to foster patient adherence to diets in clinical settings. For this purpose, we developed a one-dimensional differential equation model of weight change based on the energy balance equation paired to an algebraic relationship between fat-free mass and fat mass derived from a large nationally representative sample of recently released data collected by the Centers for Disease Control. We validate the model's ability to predict individual participants’ weight change by comparing model estimates of final weight data from two recent unde...
  • References (57)
  • Citations (73)
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References57
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#1Diana M. Thomas (MSU: Montclair State University)H-Index: 31
#2Sai Krupa Das (Tufts University)H-Index: 31
Last. Steven B. Heymsfield (MSD: Merck & Co.)H-Index: 123
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Background The Forbes equation relating fat-free mass (FFM) to fat mass (FM) has been used to predict longitudinal changes in FFM during weight change but has important limitations when paired with a one dimensional energy balance differential equation. Direct use of the Forbes model within a one dimensional energy balance differential equation requires calibration of a translate parameter for the specific population under study. Comparison of translates to a representative sample of the US popu...
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255 Citations
#1Frédéric Destaillats (Nestlé)H-Index: 34
#2Corinne Joffre (INRA: Institut national de la recherche agronomique)H-Index: 28
Last. Lionel Bretillon (INRA: Institut national de la recherche agronomique)H-Index: 27
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Background Dietary long-chain polyunsaturated fatty acids (LC-PUFA) are of crucial importance for the development of neural tissues. The aim of this study was to evaluate the impact of a dietary supplementation in n-3 fatty acids in female rats during gestation and lactation on fatty acid pattern in brain glial cells phosphatidylethanolamine (PE) and phosphatidylserine (PS) in the neonates.
17 CitationsSource
#1Thomas L. Kelly (Hologic)H-Index: 5
#2Kevin E. Wilson (Hologic)H-Index: 12
Last. Steven B. Heymsfield (MSD: Merck & Co.)H-Index: 123
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In 2008 the National Center for Health Statistics released a dual energy x-ray absorptiometry (DXA) whole body dataset from the NHANES population-based sample acquired with modern fan beam scanners in 15 counties across the United States from 1999 through 2004. The NHANES dataset was partitioned by gender and ethnicity and DXA whole body measures of %fat, fat mass/height2, lean mass/height2, appendicular lean mass/height2, %fat trunk/%fat legs ratio, trunk/limb fat mass ratio of fat, bone minera...
460 CitationsSource
#1Diana M. Thomas (MSU: Montclair State University)H-Index: 31
#2Ashley Ciesla (MSU: Montclair State University)H-Index: 1
Last. Corby K. Martin (Pennington Biomedical Research Center)H-Index: 49
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44 CitationsSource
#1Pedro Del Corral (UAB: University of Alabama at Birmingham)H-Index: 4
#2Paula C. Chandler-Laney (UAB: University of Alabama at Birmingham)H-Index: 19
Last. Gary R. Hunter (UAB: University of Alabama at Birmingham)H-Index: 62
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Context: Weight loss using low-calorie diets produces variable results, presumably due to a wide range of energy deficits and low-dietary adherence. Objective: Our objective was to quantify the relationship between dietary adherence, weight loss, and severity of caloric restriction. Design and Setting: Participants were randomized to diet only, diet-endurance training, or diet-resistance training until body mass index (BMI) was less than 25 kg/m2. Participants: Healthy overweight (BMI 27–30) pre...
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#1Edward Saltzman (Tufts University)H-Index: 2
#2Susan B. Roberts (Tufts University)H-Index: 3
The role of energy expenditure in energy regulation remains a subject of continuing controversy. New data have emerged from studies conducted over the last decade demonstrating that energy expenditure is a critical factor contributing to successful energy regulation in normal individuals, as well as to the disregulation of energy balance that characterizes obesity. Reduced energy expenditure appears to facilitate weight gain in individuals susceptible to obesity and also appears to reduce the ex...
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#1Gilbert B. Forbes (UR: University of Rochester)H-Index: 42
Lean and fat compartments of the body are companions. Dietary alterations induce changes in both compartments.
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#1Leanne M. Redman (Pennington Biomedical Research Center)H-Index: 41
#2Leonie K. Heilbronn (Pennington Biomedical Research Center)H-Index: 39
Last. Eric Ravussin (Pennington Biomedical Research Center)H-Index: 104
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Background Metabolic and behavioral adaptations to caloric restriction (CR) in free-living conditions have not yet been objectively measured.
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#1Nori Geary (Cornell University)H-Index: 37
Abstract Human body weight (BW), or some variable related to it, is physiologically regulated. That is, negative feedback from changes in BW elicits compensatory influences on appetite, which may be called BW-regulatory appetite, and a component of energy expenditure (EE) called adaptive thermogenesis (AdEE). BW-regulatory appetite is of general significance because it appears to be related to a variety of aspects of human appetite beyond just energy intake. BW regulation, BW-regulatory appetite...
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#1L. Anne Gilmore (Pennington Biomedical Research Center)H-Index: 10
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Abstract Obesity is a complex pandemic, and its effective management involves addressing many different factors. This complexity has given rise to novel analytic methods, integrating intensive computational, engineering, and statistical techniques. Mathematical models are currently applied to inform clinical practice. At the 2017 The Korean Nutrition Society 50th Anniversary International Conference, the development of such models and their application to improve data accuracy and patient care d...
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#1Abby D. Altazan (LSU: Louisiana State University)H-Index: 5
#2Leanne M. Redman (LSU: Louisiana State University)H-Index: 41
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