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预测风险行为:一种诊断量表的开发与验证

Predicting risk behaviors: development and validation of a diagnostic scale.

作者信息

Witte K, Cameron K A, McKeon J K, Berkowitz J M

机构信息

Department of Communication, Michigan State University, East Lansing 48824-1212, USA.

出版信息

J Health Commun. 1996 Oct-Dec;1(4):317-41. doi: 10.1080/108107396127988.

DOI:10.1080/108107396127988
PMID:10947367
Abstract

The goal of this study was to develop and validate the Risk Behavior Diagnosis (RBD) Scale for use by health care providers and practitioners interested in promoting healthy behaviors. Theoretically guided by the Extended Parallel Process Model (EPPM; a fear appeal theory), the RBD scale was designed to work in conjunction with an easy-to-use formula to determine which types of health risk messages would be most appropriate for a given individual or audience. Because some health risk messages promote behavior change and others backfire, this type of scale offers guidance to practitioners on how to develop the best persuasive message possible to motivate healthy behaviors. The results of the study demonstrate the RBD scale to have a high degree of content, construct, and predictive validity. Specific examples and practical suggestions are offered to facilitate use of the scale for health practitioners.

摘要

本研究的目的是开发并验证风险行为诊断(RBD)量表,供有兴趣促进健康行为的医疗保健提供者和从业者使用。在扩展平行过程模型(EPPM;一种恐惧诉求理论)的理论指导下,RBD量表旨在与一个易于使用的公式配合使用,以确定哪些类型的健康风险信息最适合特定个体或受众。由于一些健康风险信息能促进行为改变,而另一些则适得其反,这种量表为从业者提供了指导方针,告诉他们如何制定最具说服力的信息来激励健康行为。研究结果表明,RBD量表具有高度的内容效度、结构效度和预测效度。文中提供了具体示例和实用建议,以方便健康从业者使用该量表。

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