ArticleThe international journal of behavioral nutrition and physical activity2018
Exploring the emergence and evolution of population patterns of leisure-time physical activity through agent-based modelling.
Article in The international journal of behavioral nutrition and physical activity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 19 citations in OpenAlex.
- The long-term effectiveness and cost-effectiveness of public health interventions; how can we model behavior? A review.Health economics · 2023Review
- A scoping review of complex systems methods used in population physical activity research: do they align with attributes of a whole system approach?Health research policy and systems · 2023Article
- Bring Your Own Location Data: Use of Google Smartphone Location History Data for Environmental Health Research.Environmental health perspectives · 2022Article
- A scoping review of systems approaches for increasing physical activity in populations.Health research policy and systems · 2022Article
- Exploring the emergence and evolution of population patterns of leisure-time physical activity through agent-based modelling.The international journal of behavioral nutrition and physical activity · 2018Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
introductionMost interventions aiming to promote leisure-time physical activity (LTPA) at population level showed small or null effects. Approaching the problem from a systems science perspective may shed light on the reasons for these results. We developed an agent-based model to explore how the interactions between psychological attributes and built and social environments may lead to the emergence and evolution of LTPA patterns among adults.
methodsThe modeling process consisted of four stages: (1) conceptual model development, (2) formulation of the agent-based model, (3) parametrization and calibration, and (4) consistency and sensitivity analyses. The model represents a stylized community containing two types of agents: persons and LTPA sites. Persons interact with each other (proximal network and perceived community) and with the built environment (LTPA sites) over time. Decision-making is based on the person's intention to practice LTPA, conditioned to the perceived environment. Each iteration is equivalent to one week and we assessed a period of 10 years.
resultsThe model was able to reproduce population temporal trends of intention and LTPA reported in the literature. Sensitivity analyses indicated that population patterns and trends of intention and LTPA were highly influenced by the relationship between a person's behavior in the preceding week and his current intention, the person's access to built and social environment, and the density of LTPA sites.
conclusionsThe proposed agent-based model is suitable to explore the emergence and evolution of LTPA patterns among adults, considering the dynamic interaction between individuals' psychological attributes and the built and social environments in which they live. The model is available at https://doi.org/10.17605/OSF.IO/J2KAS .
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.