An analysis of physical activity coping plans: mapping barriers and coping strategies based on user ratings.

IF 2.4 Q2 PSYCHOLOGY, CLINICAL
Health Psychology and Behavioral Medicine Pub Date : 2024-12-01 eCollection Date: 2024-01-01 DOI:10.1080/21642850.2024.2434140
Maya Braun, Geert Crombez, Femke De Backere, Emma Tack, Annick L De Paepe
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引用次数: 0

Abstract

Introduction: Personalising recommendations for physical activity coping plans can help bridging the physical activity intention-behaviour gap. Data-driven 'black-box' approaches result in recommendations that prove difficult to explain, and may have undesired consequences. This study aimed to explicitly link barriers and coping strategies using end-user input.

Method: 152 participants (85 female) took part in an online task. Participants were asked to judge the relevance of coping strategies for barriers to physical activity, and under which circumstances coping strategies were relevant for a given barrier. Data was aggregated and heat maps were produced. Necessary conditions for the relevance of each combination were coded and their frequencies were reported.

Results: Relevance of 1570 combinations of barriers and coping strategies were assessed, with 2 combinations rated 'always relevant' by all participants, and 37 combinations rated as 'always relevant' by no participants. Barriers differ strongly in how many coping strategies are relevant for them, and coping strategies differ strongly in how many barriers they are relevant for. Resulting aggregates concerning the average rating as 'never relevant', 'always relevant' and 'relevant under certain conditions' are shared for each barrier coping strategy combination, as are the conditions associated with different barriers and coping strategies.

Discussion: This study introduces a novel method to create rules for recommendations using input from stakeholders. The datasets created throughout this research are available for re-use in future research, as well as for clinical practice and (digital) intervention development. This data can be used as a base for explainable personalised recommendations for physical activity coping plans.

体育活动应对计划分析:基于用户评分的障碍和应对策略映射。
针对身体活动应对计划的个性化建议可以帮助弥合身体活动意图-行为之间的差距。数据驱动的“黑箱”方法导致难以解释的建议,并可能产生意想不到的后果。本研究旨在利用终端用户输入明确地将障碍与应对策略联系起来。方法:152名参与者(85名女性)参加了一项在线任务。参与者被要求判断应对体育活动障碍的策略的相关性,以及在何种情况下应对策略与给定障碍相关。汇总了数据并制作了热图。对每个组合的相关条件进行编码,并报告其频率。结果:评估了1570种障碍和应对策略组合的相关性,其中2种组合被所有参与者评为“始终相关”,37种组合被无参与者评为“始终相关”。障碍在有多少应对策略与之相关方面差异很大,而应对策略在有多少障碍与之相关方面差异很大。对于每个障碍应对策略组合,以及与不同障碍和应对策略相关的条件,所得到的“从不相关”、“总是相关”和“在某些条件下相关”的平均评级汇总是共享的。讨论:本研究介绍了一种利用利益相关者的输入来创建建议规则的新方法。在整个研究过程中创建的数据集可用于未来的研究,以及临床实践和(数字)干预开发。这些数据可以作为体育活动应对计划的可解释的个性化建议的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
3.70%
发文量
57
审稿时长
24 weeks
期刊介绍: Health Psychology and Behavioral Medicine: an Open Access Journal (HPBM) publishes theoretical and empirical contributions on all aspects of research and practice into psychosocial, behavioral and biomedical aspects of health. HPBM publishes international, interdisciplinary research with diverse methodological approaches on: Assessment and diagnosis Narratives, experiences and discourses of health and illness Treatment processes and recovery Health cognitions and behaviors at population and individual levels Psychosocial an behavioral prevention interventions Psychosocial determinants and consequences of behavior Social and cultural contexts of health and illness, health disparities Health, illness and medicine Application of advanced information and communication technology.
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