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Journal article
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, v 15(1), pp 112-112
19 Nov 2018
PMID: 30453997
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Most 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.
The 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.
The 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.
The 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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Details
- Title
- Exploring the emergence and evolution of population patterns of leisure-time physical activity through agent-based modelling
- Creators
- Leandro M T Garcia - UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UKAna V Diez Roux - Drexel UniversityAndré C R Martins - Universidade de São PauloYong Yang - University of MemphisAlex A Florindo - Universidade de São Paulo
- Publication Details
- The international journal of behavioral nutrition and physical activity, v 15(1), pp 112-112
- Publisher
- Springer BMC
- Grant note
- Wellcome Trust MR/K023187/1 / British Heart Foundation 205177/Z/16/Z / Wellcome Trust MR/K023187/1 / Cancer Research UK MR/K023187/1 / Medical Research Council MR/K023187/1 / Wellcome Trust
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000451090200001
- Scopus ID
- 2-s2.0-85056719554
- Other Identifier
- 991019168987704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Nutrition & Dietetics
- Physiology