Modeling US Adult Obesity Trends: A System Dynamics Model for Estimating Energy Imbalance Gap.

Objectives. We present a system dynamics model that quantifies the energy imbalance gap responsible for the US adult obesity epidemic among gender and racial subpopulations. Methods. We divided the adult population into gender–race/ethnicity subpopulations and body mass index (BMI) classes. We defin...

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Publicado en:American Journal of Public Health Vol. 104; no. 7; pp. 1230 - 1240
Autores principales: Fallah-Fini, Saeideh, Rahmandad, Hazhir, Huang, Terry T.-K., Bures, Regina M., Glass, Thomas A.
Formato: Journal Article
Publicado: American Public Health Association Jul2014
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2014
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        10.2105/AJPH.2014.301882
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        atl: Modeling US Adult Obesity Trends: A System Dynamics Model for Estimating Energy Imbalance Gap.
      aug:
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          Fallah-Fini, Saeideh
          Rahmandad, Hazhir
          Huang, Terry T.-K.
          Bures, Regina M.
          Glass, Thomas A.
      su:
        United States
        Black people
        Computer simulation
        Hispanic Americans
        Obesity
        Sex distribution
        Systems theory
        White people
        Cross-sectional method
        Retrospective studies
        Calibration
        Cluster analysis (Statistics)
        Energy metabolism
        Homeostasis
        Ingestion
        Research funding
        Time
        Secondary analysis
        Body mass index
        Descriptive statistics
      sug:
        subj:
          Black people
          Computer simulation
          Hispanic Americans
          Obesity
          Sex distribution
          Systems theory
          White people
          Cross-sectional method
          Retrospective studies
          United States
          Calibration
          Cluster analysis (Statistics)
          Energy metabolism
          Homeostasis
          Ingestion
          Research funding
          Time
          Secondary analysis
          Body mass index
          Descriptive statistics
      ab: Objectives. We present a system dynamics model that quantifies the energy imbalance gap responsible for the US adult obesity epidemic among gender and racial subpopulations. Methods. We divided the adult population into gender–race/ethnicity subpopulations and body mass index (BMI) classes. We defined transition rates between classes as a function of metabolic dynamics of individuals within each class. We estimated energy intake in each BMI class within the past 4 decades as a multiplication of the equilibrium energy intake of individuals in that class. Through calibration, we estimated the energy gap multiplier for each gender– race–BMI group by matching simulated BMI distributions for each subpopulation against national data with maximum likelihood estimation. Results. No subpopulation showed a negative or zero energy gap, suggesting that the obesity epidemic continues to worsen, albeit at a slower rate. In the past decade the epidemic has slowed for non-Hispanic Whites, is starting to slow for non-Hispanic Blacks, but continues to accelerate among Mexican Americans. Conclusions. The differential energy balance gap across subpopulations and over time suggests that interventions should be tailored to subpopulations’ needs.
      pubtype: Academic Journal
      doctype: Journal Article
      src: R
    language: English
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