ReviewThe international journal of behavioral nutrition and physical activity2017
Development of a dynamic framework to explain population patterns of leisure-time physical activity through agent-based modeling.
Review in The international journal of behavioral nutrition and physical activity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Thinking about inequalities in physical activity as an emergent feature of complex systems.The international journal of behavioral nutrition and physical activity · 2024Article
- The PHEM-B toolbox of methods for incorporating the influences on Behaviour into Public Health Economic Models.BMC public health · 2024Article
- Hypothetical mechanisms driving physical activity levels in ethnic minority groups living in Europe: a systematically identified evidence-based conceptual systems model.The international journal of behavioral nutrition and physical activity · 2024Article
- The long-term effectiveness and cost-effectiveness of public health interventions; how can we model behavior? A review.Health economics · 2023Review
- Using systems perspectives in evidence synthesis: A methodological mapping review.Research synthesis methods · 2022Review
- How can an agent-based model explore the impact of interventions on children's physical activity in an urban environment?Health & place · 2021Article
- Is adiposity associated with objectively measured physical activity and sedentary behaviors in older adults?BMC geriatrics · 2020Article
- Correlates of physical activity behavior in adults: a data mining approach.The international journal of behavioral nutrition and physical activity · 2020Article
- Association of Social Networks and Physical Activity in South Asians: The Mediators of Atherosclerosis in South Asians Living in America Cohort Study.Journal of physical activity & health · 2020Article
- Factors influencing sedentary behaviour: A system based analysis using Bayesian networks within DEDIPAC.PloS one · 2019Article
- How has big data contributed to obesity research? A review of the literature.International journal of obesity (2005) · 2018Review
- 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the increasing body of evidences on the factors influencing leisure-time physical activity, our understanding of the mechanisms and interactions that lead to the formation and evolution of population patterns is still limited. Moreover, most frameworks in this field fail to capture dynamic processes. Our aim was to create a dynamic conceptual model depicting the interaction between key psychological attributes of individuals and main aspects of the built and social environments in which they live. This conceptual model will inform and support the development of an agent-based model aimed to explore how population patterns of LTPA in adults may emerge from the dynamic interplay between psychological traits and built and social environments. We integrated existing theories and models as well as available empirical data (both from literature reviews), and expert opinions (based on a systematic expert assessment of an intermediary version of the model). The model explicitly presents intention as the proximal determinant of leisure-time physical activity, a relationship dynamically moderated by the built environment (access, quality, and available activities) - with the strength of the moderation varying as a function of the person's intention- and influenced both by the social environment (proximal network's and community's behavior) and the person's behavior. Our conceptual model is well supported by evidence and experts' opinions and will inform the design of our agent-based model, as well as data collection and analysis of future investigations on population patterns of leisure-time physical activity among adults.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.