Published on in Vol 21, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12914, first published .
Identifying Influence Agents That Promote Physical Activity Through the Simulation of Social Network Interventions: Agent-Based Modeling Study

Identifying Influence Agents That Promote Physical Activity Through the Simulation of Social Network Interventions: Agent-Based Modeling Study

Identifying Influence Agents That Promote Physical Activity Through the Simulation of Social Network Interventions: Agent-Based Modeling Study

Journals

  1. Chevance G, Perski O, Hekler E. Innovative methods for observing and changing complex health behaviors: four propositions. Translational Behavioral Medicine 2021;11(2):676 View
  2. Badham J, Kee F, Hunter R. Network structure influence on simulated network interventions for behaviour change. Social Networks 2021;64:55 View
  3. Shi L, Zhang L, Lu Y, Galán J. Evaluating social network-based weight loss interventions in Chinese population: An agent-based simulation. PLOS ONE 2020;15(8):e0236716 View
  4. Prochnow T, van Woudenberg T, Patterson M. Network Effects on Adolescents’ Perceived Barriers to Physical Activity. Journal of Physical Activity and Health 2020;17(9):889 View
  5. Prochnow T, Patterson M, Umstattd Meyer M. A social network analysis approach to group and individual perceptions of child physical activity. Health Education Research 2020;35(6):564 View
  6. Granic I, Morita H, Scholten H. Beyond Screen Time: Identity Development in the Digital Age. Psychological Inquiry 2020;31(3):195 View
  7. Folkvord F, Roes E, Bevelander K. Promoting healthy foods in the new digital era on Instagram: an experimental study on the effect of a popular real versus fictitious fit influencer on brand attitude and purchase intentions. BMC Public Health 2020;20(1) View
  8. Salway R, Sebire S, Tibbitts B, Sanderson E, Kandiyali R, Willis K, MacNeill S, Jago R. Physical Activity and Psychosocial Characteristics of the Peer Supporters in the PLAN-A Study—A Latent Class Analysis. International Journal of Environmental Research and Public Health 2020;17(21):7980 View
  9. Benavides C, Benítez-Andrades J, Marqués-Sánchez P, Arias N. eHealth Intervention to Improve Health Habits in the Adolescent Population: Mixed Methods Study. JMIR mHealth and uHealth 2021;9(2):e20217 View
  10. Marqués-Sánchez P, Benítez-Andrades J, Calvo Sánchez M, Arias N. The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis. BMJ Open 2021;11(3):e042773 View
  11. Prochnow T, Patterson M, Bridges Hamilton C, Delgado H, Craig S, Umstattd Meyer M. Sex Differences in Play Networks and Self-Reported Physical Activity Among Children at Summer Care Programs. Child & Youth Services 2021;42(2):136 View
  12. Cho S, Lee H, Shim J, Youm Y, Jung S, Kim D, Kim H. Association between social network structure and physical activity in middle-aged Korean adults. Social Science & Medicine 2021;282:114112 View
  13. Zhou Y, Lv X, Wang L, Li J, Gao X. What increases the risk of gamers being addicted? An integrated network model of personality–emotion–motivation of gaming disorder. Computers in Human Behavior 2023;141:107647 View
  14. Almenara C, Cimino S, Cerniglia L, B S. Sensor Technology and Intelligent Systems in Anorexia Nervosa: Providing Smarter Healthcare Delivery Systems. BioMed Research International 2022;2022:1 View
  15. Jago R, Tibbitts B, Willis K, Sanderson E, Kandiyali R, Reid T, MacNeill S, Kipping R, Campbell R, Sebire S, Hollingworth W. Peer-led physical activity intervention for girls aged 13 to 14 years: PLAN-A cluster RCT. Public Health Research 2022;10(6):1 View
  16. Prochnow T, Patterson M, Umstattd Meyer M, Lightner J, Gomez L, Sharkey J. Conducting Physical Activity Research on Racially and Ethnically Diverse Adolescents Using Social Network Analysis: Case Studies for Practical Use. International Journal of Environmental Research and Public Health 2022;19(18):11545 View
  17. Zhang S, Xiao T, He J. The Influence of a School Social Network Intervention on Adolescent's Health Behaviors: A Gender-Specific Agent-Based Model. Frontiers in Public Health 2022;10 View
  18. Fu P, Jing B, Chen T, Yang J, Cong G. Identifying a New Social Intervention Model of Panic Buying Under Sudden Epidemic. Frontiers in Public Health 2022;10 View
  19. Feng Y, Li X, Ma X, Zhu Z, Chen K, Gao J, Xia J, Jiang R, Lu J. Using online social networks to provide a parental health-education intervention for preventing unintentional injuries among children aged 0–3 years: A randomized controlled trial and social network analysis in Shanghai, China. Frontiers in Public Health 2023;10 View
  20. Peiris R, Ross H, Chan C, Poon S, Auguste B, Rac V, Farkouh M, McDonald M, Kaczorowski J, Code J, Duero Posada J, Ong S, Kobulnik J, Tomlinson G, Huszti E, Arcand J, Thomas S, Akbari A, Maunder R, Grover S, Seto E, Simard A, Pope B, Bains M, McIntyre C, Torbay C, Syed F, Nolan R. Automated digital counselling with social network support as a novel intervention for patients with heart failure: protocol for randomised controlled trial. BMJ Open 2022;12(9):e059635 View
  21. Shih C, Pudipeddi R, Uthayakumar A, Washington P. A Local Community-Based Social Network for Mental Health and Well-being (Quokka): Exploratory Feasibility Study. JMIRx Med 2021;2(4):e24972 View
  22. Blok D, Simoski B, van Woudenberg T, Buijzen M. The Usefulness of Web-Based Communication Data for Social Network Health Interventions: Agent-Based Modeling Study. JMIR Pediatrics and Parenting 2023;6:e44849 View
  23. Raudeniece J, Vanags E, Justamente I, Skara D, Fredriksen P, Brownlee I, Reihmane D. Relations between the levels of moderate to vigorous physical activity, BMI, dietary habits, cognitive functions and attention problems in 8 to 9 years old pupils: network analysis (PACH Study). BMC Public Health 2024;24(1) View

Books/Policy Documents

  1. Aroke H, Katenka N, Kogut S, Buchanan A. Complex Networks & Their Applications X. View