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Evaluating Food Policy Councils Using Structural Equation Modeling.

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Food Policy Councils (FPCs) improve community food access. This study validated a framework showing organizational capacity and social capital influence FPC effectiveness, with community context playing a key role.

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Area of Science:

  • Food Systems Research
  • Community Public Health
  • Policy Analysis

Background:

  • Food Policy Councils (FPCs) are vital for enhancing healthy food access.
  • Empirical research on FPC effectiveness and influencing factors remains limited.
  • Existing frameworks require empirical validation within diverse FPC contexts.

Purpose of the Study:

  • To empirically evaluate a Food Policy Council (FPC) Framework.
  • To understand the relationships between Organizational Capacity, Social Capital, and Council Effectiveness.
  • To assess the influence of community context on FPC performance.

Main Methods:

  • A cross-sectional survey using the Food Policy Council Self-Assessment Tool (FPC-SAT).
  • Structural equation modeling (SEM) to test the adapted FPC Framework.
  • Inclusion of FPC members from the U.S., Canada, and Native American Tribes and First Nations.

Main Results:

  • A modified FPC Framework demonstrated a good fit with the collected data.
  • Social Capital and Organizational Capacity were significant predictors of Council Effectiveness.
  • Community context was found to moderate the relationship between Social Capital and Council Effectiveness.

Conclusions:

  • The validated FPC Framework provides a robust model for understanding FPC operations.
  • The framework can guide targeted capacity-building interventions and evaluation strategies for FPCs.
  • Empirical evidence supports the framework's utility in improving local food systems and FPC efficiency.