a Department of Health Promotion , Maastricht University/CAPHRI , Maastricht , Netherlands.
b Faculty of Psychology and Education Science , Open University of the Netherlands , Heerlen , Netherlands.
Health Psychol Rev. 2018 Mar;12(1):43-57. doi: 10.1080/17437199.2017.1362569. Epub 2017 Aug 18.
We argue that the active ingredients of behaviour change interventions, often called behaviour change methods (BCMs) or techniques (BCTs), can usefully be placed on a dimension of psychological aggregation. We introduce evolutionary learning processes (ELPs) as fundamental building blocks that are on a lower level of psychological aggregation than BCMs/BCTs. A better understanding of ELPs is useful to select the appropriate BCMs/BCTs to target determinants of behaviour, or vice versa, to identify potential determinants targeted by a given BCM/BCT, and to optimally translate them into practical applications. Using these insights during intervention development may increase the likelihood of developing effective interventions - both in terms of behaviour change as well as maintenance of behaviour change.
我们认为，行为改变干预措施的有效成分，通常称为行为改变方法（BCMs）或技术（BCTs），可以有用地放置在心理聚合的维度上。我们引入进化学习过程（ELPs）作为基本构建块，其处于比 BCMs/BCTs 更低的心理聚合水平。更好地理解 ELPs 有助于选择适当的 BCMs/BCTs 来针对行为的决定因素，或者相反，识别给定 BCM/BCT 所针对的潜在决定因素，并将其优化为实际应用。在干预措施的开发过程中使用这些见解可以增加开发有效干预措施的可能性——无论是在行为改变方面还是在行为改变的维持方面。
