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Diet induced changes in 'energy expenditure' help to slightly attenuate the gap ... Exercise and diet in obesity treatment: an integrative system dynamics perspective. ... – PowerPoint PPT presentation

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1
Building a system dynamics model of body
weight regulation and obesity
  • Özge Karanfil
  • PhD student
  • Department of Biomedical Physiology and
    Kinesiology, SFU
  • ozgekaranfil_at_gmail.com
  • 19th MIT-UAlbany-WPI System Dynamics PhD
    Colloquium
  • October 30, 2009

2
Outline
  • Introduction
  • Methodology
  • Problem Description and Research Objectives
  • Data
  • Weight cycling, or yo-yo dieting, as a common
    feature

3
Introduction
  • Obesity is a problem..
  • Factors influencing obesity and the regulation of
    body weight have been under intensive
    investigation
  • Growing interest has culminated in the growth of
    simulation models
  • as a tool to investigate this complex system
  • as a means for evaluating hypotheses concerning
    the underlying pathology
  • Obesity is a dynamically complex problem..
  • A dynamic problem is one that necessitates
    continuous monitoring and action (management).
    Chronic problems.
  • Internal structure is the main cause of dynamic
    behavior

4
Introduction
  • Body weight regulation constitutes a suitable
    area for simulation modeling
  • Feedback complexity of the underlying structure
  • Different levels of factors involved (genetic,
    dietary, life-style ..)
  • Time delays, interplay of factors make it
    difficult to make quantitative predictions of
    dynamic patterns
  • System dynamics is appropriate for quantitative
    analysis of chronic problems

5
Methodology- Steps of System Dynamics
methodology
  • Problem identification (a dynamic feedback
    problem is selected)
  • Model conceptualization (causal loop diagramming)
  • Model construction (mathematical, numeric)
  • Simulation verification testing
  • Validation (is my model appropriate for real
    life?)
  • Analysis and results
  • Implementation

6
Problem Description and Research Objectives
  • Most adults maintain a stable body weight and
    composition, in spite substantial deviations in
    their daily food intakes, physical activity
    levels, resulting energy balances.. (Flatt, 1995)
  • Energy In and Energy Out tend to remain adjusted,
    and protein, carbohydrate, fat balances are
    achieved
  • As long as this is not the case, body composition
    keeps changing
  • Deviations from energy balance trigger bodys
    homeostatic mechanisms
  • 1-Regulating food intake
  • 2-Altering rate of energy expenditure
  • 3-Altering the composition of fuel mix used for
    energy generation

7
Some of core physiological mechanisms Energy
Intake-Expenditure
adapted from Abdel-Hamid TK. 2002. Modeling
the dynamics of human energy regulation and its
implications for obesity treatment. System
Dynamics Review 18431-71
8
Some of core physiological mechanisms Energy
Intake-Expenditure
Adapted from Abdel-Hamid TK. 2002. Modeling
the dynamics of human energy regulation and its
implications for obesity treatment. System
Dynamics Review 18431-71
9
Carbohydrate-fat interactions and obesity
examined by a two-compartment computer model
Adapted from Flatt JP. 2004. Carbohydrate-fat
interactions and obesity examined by a
two-compartment computer model. Obesity Research
122013-22
10
CarbohydrateFat Interactions and Obesity
Examined by a Two-Compartment Model- J. P. Flatt
  • A systems dynamics computer model to examine how
    interactions between CHO and Fat metabolism
    influence BW regulation
  • Environmental factors such as food palatability,
    and availability can be expected to raise the
    range within which glycogen levels are habitually
    maintained.
  • This restrains fat oxidation, until expansion of
    the fat mass is sufficient to promote fat
    oxidation to a rate commensurate with dietary fat
    intake. This metabolic leverage can explain why
    increased food offerings tend to raise the
    prevalence of obesity.

Flatt JP. 2004. Carbohydrate-fat interactions
and obesity examined by a two-compartment
computer model. Obesity Research 122013-22
11
Two-compartment model showing the impact of
circumstantial, lifestyle genetic factors on
glycogen levels and fat stores
  • Reflects operation of a 2 reservoir-system
    representing the bodys limited glycogen, and its
    large fat reserves. Outflows from reservoirs
    correspond to oxidation of glucose and fat, whose
    relative contributions are affected by size of
    prevailing glycogen and fat reserves.
  • Flow through the small turbine reflects the
    exclusive use of glucose by the brain
  • Flow through large turbine represents EE in the
    rest of the body to which 2 reservoirs contribute
    in proportion to levels of fuel they contain at a
    given time

The conduit from the small to the large
reservoir lipogenesis
Flatt JP. 1995. McCollum Award Lecture, 1995
diet, lifestyle, and weight maintenance. Am. J.
Clin. Nutr. 62820-36
12
The two main issues for body weight maintenance
in obesity
Well known and less well known variables
affecting adiposity and their potential role in
explaining the increased incidence of obesity
revealed by the (NHANES Ill) data.
Flatt JP. 1995. McCollum Award Lecture, 1995
diet, lifestyle, and weight maintenance. Am. J.
Clin. Nutr. 62820-36
13
Computational model of in vivo human energy
metabolism during semistarvation and refeeding
  • A general simulation model for body weight change
    based on the Minnesota Starvation Experiment
    (1940).
  • Model consists of 3 macronutrient compartments
    (stocks) fat, glycogen and protein, and fluxes
    (flows) between them.
  • Energy intake of fat, carbohydrate and protein
    are external inputs.

Hall KD. 2006. Computational model of in vivo
human energy metabolism during semistarvation
and refeeding. Am. J. Physiol Endocrinol. Metab
291E23-E37
14
Hall Model- Stock-Flow diagram
Adapted from Hall KD. 2006. Computational model
of in vivo human energy metabolism during
semistarvation and refeeding. Am. J. Physiol
Endocrinol. Metab 291E23-E37
15
Hall Model- Stock-Flow diagram
Body Composition
Fat Metabolism
Protein Metabolism
Resting Metabolic Rate
Physical Activity Expenditure
Macronutrient Oxidation Rates
Adapted from Hall KD. 2006. Computational model
of in vivo human energy metabolism during
semistarvation and refeeding. Am. J. Physiol
Endocrinol. Metab 291E23-E37
16
Why to model food intake regulation?
  • Diet induced changes in energy expenditure help
    to slightly attenuate the gap between energy
    intake expenditure, but does not have power to
    offset energy imbalances. (Flatt, 1978)
  • Regulation of energy intake appears to be a
    more important phenomenon to help achieving a
    steady-state body weight.
  • Less well explored by previous models, also less
    is known
  • We aim to explore interactions between food
    intake regulation and body composition.

17
Different levels
  • Human energy and weight regulation is a complex
    of nested feedback processes at multiple levels.
  • 1- Physiological aspects
  • 2- Aspects between the physiology and the
    behaviour Combination of voluntary and
    involuntary effects
  • 3- Environmental, cognitive aspects

18
Research Questions
  • How does food intake- diet composition effect the
    effort of losing weight?
  • How does our body composition change when we lose
    and gain weight, and what are the implications of
    this for further attempts of weight loss?
  • Can we simulate this model to examine a common
    feature weight cycling?

19
Weight cycling, or yo-yo dieting
  • Unintended consequences of dieting Detrimental
    effects on body composition? Both supportive and
    counter-arguments can be found
  • Cannon G, Einzig H. 1983. Dieting makes you fat.
    London Century Publishing.
  • We believe that drivers for natural weight
    cycles and todays yo-yo dieting and consequent
    body weight trajectories are different in nature.
  • First dynamic behavior is mainly driven by an
    externally imposed function.
  • We cannot observe a similar external data source
    for the latter.

Fig. Seasonal fluctuations in body weight in
rural Gambian women. Plot derived from over 20
000 measurements in women of child-bearing age.
(Prentice et. al, 1992)
20
When does weight cycling become more interesting
for us?
  • We see a pattern in the real data, but cannot
    observe any externally imposed functions to
    explain this cyclic behavior .
  • No simple, straight answers, no
    straight-line-thinking!
  • Endogenous (structural) explanation for weight
    cycles
  • Without having external data force, peoples
    weights are oscillating, i.e. problem
    structural.
  • Structure Complex interactions between our
    physiology, psychology, behavior social factors
  • Problem is quantitative and dynamic well suited
    to computer simulation.
  • Iteratively develop models of varying size
    scope along with the development of hypotheses
    supporting evidence.

21
A model for the dynamics of human weight cycling
Adapted from Goldbeter A. 2006. A model for the
dynamics of human weight cycling. Journal of
Biosciences 31129-36
22
Summary
  • Previous models on body weight regulation are
    explored in detail, reproduced and simulated when
    possible
  • The application of system dynamics is appropriate
    because of the central role homeostatic
    (feedback) processes play in human energy
    regulation.
  • Regulation of food intake behavior appears to be
    an important phenomenon to help achieving a
    steady-state body weight, needs to be further
    explored
  • Investigating the weight cycling phenomenon would
    be a good application of SD modeling.       

23
References
  • Abbott, WGH, Howard BV, Christin L. et al. 1988.
    Short-term energy balance relationship with
    protein, carbohydrate, and fat balances A. J.
    Physiology. 255 E 332-7.
  • Abdel-Hamid TK. 2002. Modeling the dynamics of
    human energy regulation and its implications for
    obesity treatment. System Dynamics Review
    18431-71
  • Abdel-Hamid TK. 2003. Exercise and diet in
    obesity treatment an integrative system dynamics
    perspective. Med. Sci. Sports Exerc. 35400-13
  • Bjöntorp P, Sjöström L. 1978. Carbohydrate
    storage in man speculations and some
    quantitative considerations. Metabolism. 271853-
    65.
  • Cannon G, Einzig H. 1983. Dieting makes you fat.
    London Century Publishing.
  • Chow CC, Hall KD. 2008. The dynamics of human
    body weight change. PLoS. Comput. Biol.
    4e1000045
  • Christakis NA, Fowler JH. 2007. The spread of
    obesity in a large social network over 32 years.
    N. Engl. J. Med. 357370-9
  • Christiansen E, Swann A, Sorensen TIA. 2008.
    Feedback models allowing estimation of thresholds
    for self-promoting body weight gain. Journal of
    Theoretical Biology 254731-6
  • Flatt, JP. 1978. The biochemistry of energy
    expenditure. In Bray GA, ed. Recent advances in
    obesity research. Vol 2. London Newman,
    1978211-28.
  • Flatt, JP. 1987. Dietary fat, carbohydrate
    balance, and weight maintenance effects of
    exercise. Am J Clin Nutr. 45 296-306
  • Flatt JP. 1995. McCollum Award Lecture, 1995
    diet, lifestyle, and weight maintenance. Am. J.
    Clin. Nutr. 62820-36
  • Flatt JP. 2004. Carbohydrate-fat interactions and
    obesity examined by a two-compartment computer
    model. Obes. Res. 122013-22
  • Goldbeter A. 2006. A model for the dynamics of
    human weight cycling. Journal of Biosciences
    31129-36
  • Hall KD. 2006. Computational model of in vivo
    human energy metabolism during semistarvation and
    refeeding. Am. J. Physiol Endocrinol. Metab
    291E23-E37
  • Homer J, Milstein B, Dietz W, Buchner D, Majestic
    D. 2006. Obesity population dynamics exploring
    historical growth and plausible futures in the
    U.S. 24th International System Dynamics
    Conference Nijmegen, The Netherlands.
  • Keys A, Brozek J, Henschel A, Mickelsen 0, Taylor
    HL. 1950. The biology of human starvation.
    Minneapolis University of Minnesota Press.
  • Mayer J, Thomas DW. 1967. Regulation of food
    intake and obesity. Science.156328-37.
  • Oga H, Uehara T. 2003. An Application of System
    Dynamics to an Obesity Prevention Program
    Simulation of the Risk Reduction of
    Cardiovascular Disease and the Savable Medical
    Expenses. Proceedings of the 21st International
    Conference of the System Dynamics Society.
  • Prentice AM, Jebb SA, Goldberg GR, Coward WA,
    Murgatroyd PR, Poppitt SD, Cole TJ. 1992. Effects
    of weight cycling on body composition, American
    Journal of Clinical Nutrition. 56 209S-216S

24
(My) Questions
  • One shortcoming of the second part of this
    proposal
  • It may be hard to find empirical data in these
    areas, so that we can test our theories (i.e
    models).
  • Do you know any good datasets to study..
  • How dieting affects body composition, and vice
    versa?
  • Weight cycling/ yo-yo dieting, its effect on
    further attempts of losing weight?
  • Contact ozgekaranfil_at_gmail.com
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