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Obesity Prevention: A Review of the Interactions and Interventions, and some Policy Implications

Author

Listed:
  • Anura Amarasinghe

    (School of Population Health, The University of Western Australia)

  • Gerard D'Souza

    (Division of Resource Management, West Virginia University)

Abstract

Obesity is reaching epidemic proportions especially in the developed and, more recently, in the developing world where the problem is compounded by myriad socio-economic, demographic, built and natural environmental factors. This review examines the possible causes, consequences and policy implications using a multilevel, multispectral framework. The causes of obesity clearly are multifaceted and involve numerous interactions. Together with economic incentives, allocation of physical and financial resources to community intervention strategies through educational programs as well as better land use planning would be helpful in promoting healthier and sustainable communities. Towards this goal, we proposed a dynamic and integrated Individual, Social, Economic and Environmental Model (ISEEM) for obesity prevention. The use of an ISEEM framework, involving a strategic combinations of strategies and targeted to the specific circumstances of individual communities and localities could be helpful for obesity prevention in the years to come.

Suggested Citation

  • Anura Amarasinghe & Gerard D'Souza, 2010. "Obesity Prevention: A Review of the Interactions and Interventions, and some Policy Implications," Working Papers Working Paper 2010-02, Regional Research Institute, West Virginia University.
    • Handle: RePEc:rri:wpaper:2010wp02
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    File URL: https://researchrepository.wvu.edu/rri_pubs/88/
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    health promotion; obesity prevention; dynamic; integrated system; economic incentives;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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