ArticleAmerican journal of public health2015
Network interventions on physical activity in an afterschool program: an agent-based social network study.
Article in American journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01063413 (Impact Analysis of Metro Parks' After-School Programming on Physical Activity, Weight and Fitness Outcomes), which is not on this map. Cited by 21 papers.
What it found
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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.
Impact Analysis of Metro Parks' After-School Programming on Physical Activity, Weight and Fitness Outcomes
Who cites it
21 citing papers in PubMed, 47 citations in OpenAlex.
- Identifying Social Network Conditions that Facilitate Sedentary Behavior Change: The Benefit of Being a "Bridge" in a Group-based Intervention.International journal of environmental research and public health · 2020Trial
- Trial
- Friendship as a social mechanism influencing body mass index (BMI) among emerging adults.PloS one · 2018Trial
- The role of the social network in the study of adherence to diabetic retinopathy screening programs.Scientific reports · 2024Article
- The Usefulness of Web-Based Communication Data for Social Network Health Interventions: Agent-Based Modeling Study.JMIR pediatrics and parenting · 2023Article
- Adolescent Body Mass Index and Exposure to Peers with Overweight and Obesity: A Structural Equation Model Approach to Longitudinal Network Data.Childhood obesity (Print) · 2022Article
- A scoping review of systems approaches for increasing physical activity in populations.Health research policy and systems · 2022Article
- A systems thinking approach to understanding youth active recreation.The international journal of behavioral nutrition and physical activity · 2022Article
- Enabling Better Physical Activity and Screen Time Behaviours for Adolescents from Middle Eastern Backgrounds: Semi-Structured Interviews with Parents.International journal of environmental research and public health · 2021Article
- How can an agent-based model explore the impact of interventions on children's physical activity in an urban environment?Health & place · 2021Article
- Built environment in programs to promote physical activity among Latino children and youth living in the United States and in Latin America.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021Article
- Social Influences on Obesity: Current Knowledge, Emerging Methods, and Directions for Future Research and Practice.Current nutrition reports · 2020Review
- Identification and Description of Potentially Influential Social Network Members using the Strategic Player Approach.Substance use & misuse · 2020Article
- Identifying Influence Agents That Promote Physical Activity Through the Simulation of Social Network Interventions: Agent-Based Modeling Study.Journal of medical Internet research · 2019Article
- Assessing the Impact of Lifestyle Interventions on Diabetes Prevention in China: A Modeling Approach.International journal of environmental research and public health · 2019Article
- Social Network Structures in African American Churches: Implications for Health Promotion Programs.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- Developing agent-based models of complex health behaviour.Health & place · 2018Article
- Neighborhood, Family and Peer-Level Predictors of Obesity-Related Health Behaviors Among Young Adolescents.Journal of pediatric psychology · 2017Article
- An agent-based simulation of persistent inequalities in health behavior: Understanding the interdependent roles of segregation, clustering, and social influence.SSM - population health · 2016Article
- Analyzing heterogeneity in the effects of physical activity in children on social network structure and peer selection dynamics.Network science (Cambridge University Press) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectivesWe studied simulated interventions that leveraged social networks to increase physical activity in children.
methodsWe studied a real-world social network of 81 children (average age = 7.96 years) who lived in low socioeconomic status neighborhoods, and attended public schools and 1 of 2 structured afterschool programs. The sample was ethnically diverse, and 44% were overweight or obese. We used social network analysis and agent-based modeling simulations to test whether implementing a network intervention would increase children's physical activity. We tested 3 intervention strategies.
resultsThe intervention that targeted opinion leaders was effective in increasing the average level of physical activity across the entire network. However, the intervention that targeted the most sedentary children was the best at increasing their physical activity levels.
conclusionsWhich network intervention to implement depends on whether the goal is to shift the entire distribution of physical activity or to influence those most adversely affected by low physical activity. Agent-based modeling could be an important complement to traditional project planning tools, analogous to sample size and power analyses, to help researchers design more effective interventions for increasing children's physical activity.
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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.