Assessing Connections Between Behavior Change Theories Using Network Analysis

被引:19
|
作者
Gainforth, Heather L. [1 ]
West, Robert [2 ]
Michie, Susan [1 ]
机构
[1] UCL, Ctr Outcomes Res & Effectiveness, Res Dept Clin Educ & Hlth Psychol, London, England
[2] UCL, Dept Epidemiol & Publ Hlth, London, England
基金
英国医学研究理事会;
关键词
Network analysis; Behavior change; Theory; Intervention development; PUBLIC-HEALTH; COMPLEX INTERVENTIONS; PREVENTION;
D O I
10.1007/s12160-015-9710-7
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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. To develop and apply a method to describe the explicit derivation of theories of behavior change. 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. 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). 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.
引用
收藏
页码:754 / 761
页数:8
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