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Exploring spillover effects beyond workplace dietary interventions using agent-based modelling.

Yinjie Zhu1,2, Marga C Ocké2,3, Emely de Vet1

  • 1Consumption and Healthy Lifestyles Chair Group, Wageningen University & Researchhttps://ror.org/04qw24q55, Hollandseweg 1, 6706 KNWageningen, the Netherlands.

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This summary is machine-generated.

Agent-based modeling (ABM) showed dietary interventions can positively impact plant-based protein consumption at home. Workplace interventions led to increased plant-based meals at dinner, demonstrating spillover effects.

Keywords:
Behavior changeComplex systemDietary interventionSpilloverSustainable diet

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Area of Science:

  • Computational social science
  • Nutritional science
  • Behavioral science

Background:

  • Dietary interventions often focus on direct impacts.
  • Understanding spillover effects into other meals and contexts is crucial for public health.
  • Agent-based modeling (ABM) offers a novel approach to study complex behavioral dynamics.

Purpose of the Study:

  • To investigate spillover effects of dietary interventions beyond their immediate scope using ABM.
  • To quantify the extent to which workplace dietary changes influence home-based eating patterns.
  • To explore the role of factors like dietary identity and social networks in mediating these effects.

Main Methods:

  • Developed an agent-based model (ABM) simulating Dutch adult dietary practices for lunch and dinner.
  • Simulated a workplace canteen intervention promoting plant-based protein at lunch.
  • Assessed spillover effects on plant-based protein consumption at dinner, varying direct intervention effect sizes.

Main Results:

  • Simulations showed a positive population-level spillover effect, increasing plant-based protein consumption at dinner over three years.
  • Plant-based protein intake at dinner increased linearly with direct intervention effect sizes up to 0.5.
  • Spillover effects plateaued beyond an effect size of 0.5, indicating diminishing returns.

Conclusions:

  • ABM successfully demonstrated that workplace dietary interventions can generate positive spillover effects on home eating habits.
  • This modeling approach can complement traditional methods for studying dietary behavior change.
  • Findings support the potential of ABM in promoting sustainable dietary patterns.