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