a Institute of Health & Society , Newcastle University , Newcastle upon Tyne , UK.
b School of Engineering , Newcastle University , Newcastle upon Tyne , UK.
Health Psychol Rev. 2018 Mar;12(1):58-74. doi: 10.1080/17437199.2017.1400394. Epub 2017 Nov 23.
Active school travel (AST) is an important source of physical activity for children and a conceptual understanding of AST is necessary to inform promotion efforts. The aim of this article is to provide a conceptual analysis of AST. All currently identified AST formulations include intra-individual variables which are often recommended as intervention targets. However, existing literature lacks clarity on precisely how these intra-individual variables might shape specific AST interventions. Moreover, evaluative studies of AST interventions typically fail to specify an underpinning theory or model. To address this limitation, the Behavioural Ecological Model (BEM), not previously addressed in AST, is presented to guide this area of research. Based on specific examples, we draw attention to the role of potential antecedents and potential reinforcers of AST, as well as potential reinforcers of motorised travel. Antecedents and reinforcers may help to explain choices of school travel mode, and to inform and increase intervention options to promote AST. Consistent with the BEM, the provision of more immediate consequences, such as fun and material prizes, is an evidence-based strategy for increasing AST which is likely to be low-cost and easier to deliver than alternative interventions. This approach to the study of AST is expected to contribute to similar analyses in this and other areas of behaviour change research, and to a more useful discussion and treatment of theoretical and conceptual behavioural models.
积极的学校出行(AST)是儿童身体活动的重要来源,为了推动这一工作,我们需要对 AST 有一个概念性的理解。本文旨在对 AST 进行概念分析。目前所有已确定的 AST 方案都包含个体内部变量,这些变量通常被推荐作为干预目标。然而,现有的文献对于这些个体内部变量如何影响特定的 AST 干预措施并不明确。此外,AST 干预措施的评估研究通常未能明确一个基础理论或模型。为了解决这一局限性,本文提出了行为生态学模型(BEM),该模型以前并未在 AST 中涉及,旨在指导这一研究领域。通过具体示例,我们关注了 AST 的潜在前提和潜在增强因素,以及机动出行的潜在增强因素。前提和增强因素可以帮助解释学校出行方式的选择,并为促进 AST 的信息和增加干预选择提供依据。与 BEM 一致的是,提供更直接的后果,如乐趣和物质奖励,是一种增加 AST 的循证策略,这种策略可能成本低,比其他干预措施更容易实施。这种对 AST 的研究方法有望为行为改变研究的其他领域以及对理论和概念行为模型的更有用的讨论和处理做出贡献。