An agent-based model of child sugar-sweetened beverage consumption: implications for policies and practices

Matt Kasman1, Ross A Hammond1,2,3, Rob Purcell1

  • 1Center on Social Dynamics and Policy, Brookings Institution, Washington, DC, USA.

Insights

Reducing sugar-sweetened beverage (SSB) availability at home significantly lowers children's consumption. Home-based interventions are most effective for decreasing SSB intake in young children.

Area of Science:

  • Pediatric nutrition
  • Public health interventions
  • Behavioral economics

Background:

  • Sugar-sweetened beverages (SSBs) are linked to numerous adverse health outcomes in young children.
  • Understanding effective intervention strategies is crucial for public health.

Purpose of the Study:

  • To assess the impact of various intervention strategies on reducing SSB consumption in children aged 2-7 years.
  • To identify the most effective settings for SSB consumption interventions.

Main Methods:

  • An agent-based model (ABM) was developed using data from the Project Viva longitudinal study.
  • The ABM simulated SSB consumption patterns and evaluated interventions targeting SSB availability in different environments (home, school, childcare).
  • Model validation was performed by comparing simulated consumption to observed patterns in the Project Viva cohort.

Main Results:

  • The agent-based model accurately replicated age-stratified beverage consumption trends from the Project Viva cohort.
  • Reducing SSB availability in the home led to the most substantial decrease in consumption (approx. 60% reduction).
  • Interventions removing SSB access outside the home (schools, childcare) showed a smaller impact (approx. 40% reduction).

Conclusions:

  • Interventions focused on reducing SSB availability within the home environment are the most effective strategy for decreasing children's SSB consumption.
  • Home-based strategies offer a promising avenue for public health initiatives aimed at improving pediatric nutrition and health outcomes.
Abstract

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