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针对心脏疾病人群的体育活动干预:基于干预映射的通用逻辑模型

Physical activity interventions for the cardiac population: A generic logic model based on intervention mapping.

作者信息

Marcos Tamika Akesha, Kulnik Stefan Tino, Crutzen Rik

机构信息

Department of Work and Social Psychology, Maastricht University, Maastricht, The Netherlands.

Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.

出版信息

PLoS One. 2025 May 14;20(5):e0322807. doi: 10.1371/journal.pone.0322807. eCollection 2025.

DOI:10.1371/journal.pone.0322807
PMID:40367115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12077670/
Abstract

Regular physical activity constitutes a crucial secondary prevention behaviour for people who have had an acute cardiac event. Nonetheless, sustained physical activity levels of the cardiac population are in need of improvement. Applying the Intervention Mapping approach, we describe a generic logic model for developing behavioural interventions to increase and maintain physical activity among those who have had an acute cardiac event. The development of the logic model was both data- and theory-driven, which enhances the effectiveness of the behavioural interventions developed using the logic model. The logic model may additionally be used to indicate research gaps, to solidify the underpinnings of already established behavioural interventions, and as a reflection tool for healthcare providers and individuals' behaviour. A generic logic model like the one presented here can be developed for key behavioural outcomes related to preventing other highly relevant health problems. We further recommend that future empirical research focuses on determinants of social support provision for cardiac patients' physical activity.

摘要

定期进行体育活动对于经历过急性心脏事件的人来说是一种至关重要的二级预防行为。尽管如此,心脏疾病人群的持续体育活动水平仍有待提高。应用干预映射方法,我们描述了一个通用逻辑模型,用于制定行为干预措施,以增加和维持经历过急性心脏事件的人的体育活动。该逻辑模型的开发是由数据和理论驱动的,这提高了使用该逻辑模型开发的行为干预措施的有效性。该逻辑模型还可用于指出研究差距,巩固已确立的行为干预措施的基础,并作为医疗保健提供者和个人行为的反思工具。可以针对与预防其他高度相关健康问题相关的关键行为结果开发像这里呈现的这样一个通用逻辑模型。我们进一步建议,未来的实证研究应关注为心脏病患者体育活动提供社会支持的决定因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caec/12077670/27ff570a4175/pone.0322807.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caec/12077670/59171d9bce63/pone.0322807.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caec/12077670/27ff570a4175/pone.0322807.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caec/12077670/59171d9bce63/pone.0322807.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caec/12077670/27ff570a4175/pone.0322807.g002.jpg

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Digit Health. 2024 Jun 17;10:20552076241260974. doi: 10.1177/20552076241260974. eCollection 2024 Jan-Dec.
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