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A logic model framework for community nutrition education.

Lydia C Medeiros1, Sue Nicholson Butkus, Helen Chipman

  • 1Department of Human Nutrition, The Ohio State University, Columbus 43210-1295, USA. medeiros.1@osu.edu

Journal of Nutrition Education and Behavior
|July 21, 2005
PubMed
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This study introduces a flexible Logic Model for community nutrition programs to systematically collect impact data. The model ensures national data capture without sacrificing state-level programming flexibility.

Area of Science:

  • Community Nutrition
  • Program Evaluation
  • Public Health Interventions

Background:

  • Community nutrition programs require systematic impact data collection.
  • Existing evaluation methods may lack flexibility for state-level programming.
  • The Food Stamp Nutrition Education program serves as a case study.

Purpose of the Study:

  • To develop and test a Community Nutrition Education Logic Model.
  • To create an evaluation framework covering dietary quality, food safety, food security, and shopping behaviors.
  • To establish a training mechanism for the logic model.

Main Methods:

  • Development of the Community Nutrition Education Logic Model.
  • Pilot testing to assess national data capture versus state-level flexibility.

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  • Framework integration of key nutrition education outcomes.

    • Main Results:

    • The developed Logic Model successfully captured national evaluation data.
    • State-level programming and evaluation flexibility were maintained.
    • The model demonstrated portability for diverse community education programs.

    Conclusions:

    • Logic models provide a practical framework for community nutrition program evaluation.
    • The tested model balances national data needs with state-level adaptability.
    • This approach enhances the systematic collection of impact data in public health nutrition.