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一项探索性分析旨在确定与实施健康食堂政策相关的实施干预措施的行为改变技术。

An exploratory analysis to identify behavior change techniques of implementation interventions associated with the implementation of healthy canteen policies.

机构信息

School of Health Science, Swinburne University of Technology, Hawthorn, VIC, Australia.

Hunter New England Local Health District, Population Health, New Lambton, NSW, Australia.

出版信息

Transl Behav Med. 2021 Aug 13;11(8):1606-1616. doi: 10.1093/tbm/ibab036.

DOI:10.1093/tbm/ibab036
PMID:33950223
Abstract

Empirical studies to disentangle the effects of multicomponent implementation interventions are needed to inform the development of future interventions. This study aims to examine which behavior change techniques (BCTs) primarily targeting canteen manager are associated with school's healthy canteen policy implementation. This is a secondary data analysis from three randomized controlled trials assessing the impact of a "high," "medium," and "low" intensity intervention primarily targeting canteen managers on school's implementation of a healthy canteen policy. The policy required primary schools to remove all "red" (less healthy items) or "banned" (sugar sweetened beverages) items from regular sale and ensure that "green" (healthier items) dominated the menu (>50%). The delivery of BCTs were retrospectively coded. We undertook an elastic net regularized logistic regression with all BCTs in a single model. Five k-fold cross-validation elastic net models were conducted. The percentage of times each strategy remained across 1,000 replications was calculated. For no "red" or "banned" items (n = 162), the strongest BCTs were: problem solving, goal setting (behavior), and review behavior goals. These BCTs were identified in 100% of replications as a strong predictor in the cross-validation elastic net models. For the outcome relating to >50% "green" items, the BCTs problem solving, instruction on how to perform behavior and demonstration of behavior were the strongest predictors. Two strategies were identified in 100% of replications as a strong (i.e., problem solving) or weak predictor (i.e., feedback on behavior). This study identified unique BCTs associated with the implementation of a healthy canteen policy.

摘要

需要进行实证研究来厘清多成分实施干预的效果,以便为未来的干预措施提供信息。本研究旨在探讨主要针对食堂经理的行为改变技术(BCTs)与学校健康食堂政策实施的关联。这是对三项随机对照试验的二次数据分析,评估了主要针对食堂经理的“高”、“中”、“低”强度干预对学校实施健康食堂政策的影响。该政策要求小学从常规销售中去除所有“红色”(较不健康的项目)或“禁用”(含糖饮料)项目,并确保“绿色”(更健康的项目)主导菜单(>50%)。BCT 的传递是通过回顾性编码进行的。我们在单个模型中对所有 BCT 进行了弹性网络正则化逻辑回归。进行了五个 k 折交叉验证弹性网络模型。在 1000 次重复中,每个策略保留的次数百分比被计算。对于没有“红色”或“禁用”项目(n=162),最强的 BCT 是:解决问题、设定目标(行为)和审查行为目标。这些 BCT 在交叉验证弹性网络模型中 100%的重复中被确定为强预测因素。对于与>50%“绿色”项目相关的结果,BCTs 解决问题、关于如何执行行为的指导和行为示范是最强的预测因素。有两个策略在 100%的重复中被确定为强预测因素(即解决问题)或弱预测因素(即行为反馈)。本研究确定了与实施健康食堂政策相关的独特 BCTs。

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