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How can an agent-based model explore the impact of interventions on children's physical activity in an urban

Jonatan Almagor1, Anne Martin1, Paul McCrorie1

  • 1MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Berkeley Square, 99 Berkeley Street, G3 7HR, Glasgow, Scotland, UK.

Health & Place
|October 10, 2021
PubMed

Insights

Simulations show that interventions in outdoor play, school physical education, and active travel can increase children's physical activity (PA) and help more meet daily guidelines. Encouraging diverse group activities and neighborhood events boosts engagement.

Area of Science:

  • Public Health
  • Computational Modeling
  • Child Development

Background:

  • Physical inactivity in children and adolescents is a significant global health issue.
  • This lack of activity hinders crucial developmental and health benefits.
  • Understanding the impact of interventions is vital for promoting healthier lifestyles.

Purpose of the Study:

  • To explore the impact of interventions on children's physical activity (PA) using an agent-based model (ABM).
  • To simulate daily activities of children in an urban setting to test intervention effectiveness.
  • To identify key domains for intervention: outdoor play, school physical education, and active travel.

Main Methods:

  • Development and application of an agent-based model (ABM) to simulate children's PA in an urban environment.
  • Simulation of three intervention domains: outdoor play, school physical education, and active travel.
  • Analysis of simulated outcomes on average daily moderate-to-vigorous PA and adherence to PA guidelines.

Main Results:

  • Simulated interventions increased average daily moderate-to-vigorous PA by 2-13 minutes.
  • The percentage of children not meeting PA guidelines decreased from 34% to 10%-29%, varying by intervention.
  • Interventions promoting active travel and outdoor play showed greater benefits for children in higher socio-economic positions.
  • Agent interactions indicated that diverse group activities and neighborhood events enhance PA engagement.

Conclusions:

  • Agent-based modeling offers a valuable tool for understanding complex social-environmental systems influencing children's PA.
  • Interventions targeting outdoor play and active travel can effectively increase PA, though socio-economic disparities exist.
  • Community-based initiatives and inclusive activities are promising strategies for boosting children's physical activity levels.
  • ABMs provide measurable outcomes for interventions that are challenging to assess with traditional methods.

Keywords:
Agent-based modelChildrenComplex systemsPhysical activityUrban environment

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