title: Assessing Connections Between Behavior Change Theories Using Network Analysis.
abstract: BACKGROUND
  A cross-disciplinary scoping review identified 83 of behavior change theories, with many similarities and overlapping constructs. Investigating the derivation of these theories may provide further understanding of their contribution and intended application.
  
  
  OBJECTIVE
  To develop and apply a method to describe the explicit derivation of theories of behavior change.
  
  
  METHODS
  A network analysis of the explicit "contributing to" relations between the 83 theories was conducted. Identification of relations involved textual analysis of primary theory sources.
  
  
  RESULTS
  One hundred and twenty-two connections between the theories were identified amounting to 1.8% of the number possible. On average, theories contributed to one or two theories (mean = 1.47 ± 3.69 contributions) and were informed by one or two theories (mean = 1.47 ± 1.61 contributing theories).
  
  
  CONCLUSIONS
  Most behavior change theories appear to be explicitly informed by few prior theories. If confirmed, this suggests a considerable dislocation between generations of theories which would be expected to undermine scientific progress.
authors.affiliation: Research Department of Clinical, Educational and Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, London, UK, heathergainforth@gmail.com.
authors.forename: Heather L
authors.initials: HL
authors.lastname: Gainforth
authors.forename: Robert
authors.initials: R
authors.lastname: West
authors.forename: Susan
authors.initials: S
authors.lastname: Michie
mesh_terms: D006801:Humans; D015233:Models, Statistical; D011582:Psychological Theory