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Novel Mathematical Models for Investigating Topics in Obesity

Published on Sep 1, 2014in Advances in Nutrition7.24
· DOI :10.3945/an.114.006569
John A. Dawson13
Estimated H-index: 13
(UAB: University of Alabama at Birmingham),
Kevin D. Hall38
Estimated H-index: 38
(NIH: National Institutes of Health)
+ 3 AuthorsSteven B. Heymsfield111
Estimated H-index: 111
(Pennington Biomedical Research Center)
Abstract
There is limited insight into the mechanisms, progression, and related comorbidities of obesity through simple modeling tools such as linear regression. Keeping in mind the words of the late George E. P. Box that “all models are wrong, some are useful,” this symposium presented 4 useful mathematical models or methodologic refinements. Presenters placed specific emphasis on how these novel models and methodologies can be applied to further our knowledge of the etiology of obesity.
  • References (6)
  • Citations (4)
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References6
Newest
#1Britta GöbelH-Index: 2
#2Arjun Sanghvi (NIH: National Institutes of Health)H-Index: 5
Last. Kevin D. Hall (NIH: National Institutes of Health)H-Index: 38
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Objective Despite the fact that most obesity drugs primarily work by reducing metabolizable energy intake, elucidation of the time course of energy intake changes during long-term obesity pharmacotherapy has been prevented by the limitations of self-report methods of measuring energy intake. Methods A validated mathematical model of human metabolism was used to provide the first quantification of metabolizable energy intake changes during long-term obesity pharmacotherapy using body weight data ...
11 CitationsSource
#1Ignatius BradyH-Index: 1
#2Kevin D. Hall (NIH: National Institutes of Health)H-Index: 6
Mathematical models of human weight dynamics have been validated in research settings, but are they applicable in the real world of clinical obesity treatment? We compared model calculations to weight loss data from 49 patients in a medically-supervised, outpatient weight loss program. A range of expected weight losses was defined for each patient based on uncertainties in their baseline energy requirements and physical activity changes. Assuming that energy intake was within the prescribed rang...
7 CitationsSource
#1John A. Dawson (UAB: University of Alabama at Birmingham)H-Index: 13
#2Emily J. Dhurandhar (UAB: University of Alabama at Birmingham)H-Index: 14
Last. David B. Allison (UAB: University of Alabama at Birmingham)H-Index: 114
view all 5 authors...
Background/Aims: To quantify the extent to which the increase in obesity observed across recent generations of the American population is associated with the individual or combined effects of assortative mating (AM) for body mass index (BMI) and differential realized fertility by BMI. Methods: A Monte Carlo framework is formed and informed using data collected from the National Longitudinal Survey of Youth (NLSY). The model has 2 portions: one that generates childbirth events on an annual basis ...
12 CitationsSource
#1Kristian Bernt Karlson (AU: Aarhus University)H-Index: 12
#2Anders Holm (AU: Aarhus University)H-Index: 25
Last. Richard Breen (Yale University)H-Index: 34
view all 3 authors...
Logit and probit models are widely used in empirical sociological research. However, the common practice of comparing the coefficients of a given variable across differently specified models fitted to the same sample does not warrant the same interpretation in logits and probits as in linear regression. Unlike linear models, the change in the coefficient of the variable of interest cannot be straightforwardly attributed to the inclusion of confounding variables. The reason for this is that the v...
346 CitationsSource
#1Kevin D. Hall (NIH: National Institutes of Health)H-Index: 38
#2Gary Sacks (Deakin University)H-Index: 33
Last. Boydoyd Swinburn (Deakin University)H-Index: 70
view all 7 authors...
Summary Obesity interventions can result in weight loss, but accurate prediction of the bodyweight time course requires properly accounting for dynamic energy imbalances. In this report, we describe a mathematical modelling approach to adult human metabolism that simulates energy expenditure adaptations during weight loss. We also present a web-based simulator for prediction of weight change dynamics. We show that the bodyweight response to a change of energy intake is slow, with half times of a...
559 CitationsSource
#1Diana M. Thomas (MSU: Montclair State University)H-Index: 29
#2Dale A. Schoeller (UW: University of Wisconsin-Madison)H-Index: 79
Last. Steven B. Heymsfield (MSD: Merck & Co.)H-Index: 111
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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 ...
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#1R. Drew SayerH-Index: 4
#2James O. HillH-Index: 100
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#1R. Drew SayerH-Index: 4
#2James O. HillH-Index: 100
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#1Andrew J. Krentz (AmeriCorps VISTA)H-Index: 2
#2Ken Fujioka (Scripps Health)H-Index: 31
Last. Marcus Hompesch (AmeriCorps VISTA)H-Index: 21
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Pharmacotherapy directed toward reducing body weight may provide benefits for both curbing obesity and lowering the risk of obesity-associated comorbidities; however, many weight loss medications have been withdrawn from the market because of serious adverse effects. Examples include pulmonary hypertension (aminorex), cardiovascular toxicity, e.g. flenfluramine-induced valvopathy, stroke [phenylpropanolamine (PPA)], excess non-fatal cardiovascular events (sibutramine), and neuro-psychiatric issu...
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