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...
| Publicado en: | American Journal of Public Health Vol. 104; no. 7; pp. 1230 - 1240 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
American Public Health Association
Jul2014
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=103968702&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 103968702 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jul2014 vid: 104 iid: 7 pid: 44 pub: American Public Health Association artinfo: ui: 103968702 10.2105/AJPH.2014.301882 ppf: 1230 ppct: 10 formats: tig: atl: Modeling US Adult Obesity Trends: A System Dynamics Model for Estimating Energy Imbalance Gap. aug: au: 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 refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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