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评估密集型乳腺通知法背景下扩展并行处理模型的危险控制预测。

Evaluating the Extended Parallel Process Model's Danger Control Predictions in the Context of Dense Breast Notification Laws.

机构信息

Department of Communication Studies, West Virginia University.

Department of Communication, University of Delaware.

出版信息

Health Commun. 2022 Jan;37(1):103-113. doi: 10.1080/10410236.2020.1824663. Epub 2020 Oct 5.

Abstract

This study evaluates predictions central to the extended parallel process model (EPPM) in the context of dense breast notifications. Many EPPM propositions have gone untested and competing predictions to the model have been evaluated to an even lesser extent. Also left as an open question is exactly how perceived threat and efficacy constructs should be treated in health communication research. Using experimental data collected from women likely to receive dense breast notification letters (i.e., aged 40 to 50 years) in states with and without dense breast notification legislation, this study explicitly tests EPPM predictions regarding danger control responses. These data were largely unsupportive of the EPPM's predictions and instead finds that negative affect is more of a direct predictor of intention than expected. These data also provide evidence supporting the separate treatment of the perceived severity, susceptibility, self-efficacy, and response efficacy variables, contrary to convention in EPPM research. Implications for breast density research and EPPM theorizing are discussed in light of these findings.

摘要

本研究评估了扩展平行过程模型(EPPM)在致密乳腺通知背景下的核心预测。许多 EPPM 命题尚未经过测试,对该模型的竞争预测甚至更少。在健康传播研究中,如何对待感知威胁和效能结构也仍然是一个悬而未决的问题。本研究使用从可能收到致密乳腺通知信的女性(即年龄在 40 岁至 50 岁之间)的实验数据,这些女性来自有和没有致密乳腺通知立法的州,明确测试了 EPPM 关于危险控制反应的预测。这些数据在很大程度上不支持 EPPM 的预测,而是发现负面情绪比对意图的预期更直接地预测意图。这些数据还提供了支持将感知严重性、易感性、自我效能和反应效能变量分开处理的证据,这与 EPPM 研究中的传统做法相反。根据这些发现,讨论了对乳腺密度研究和 EPPM 理论化的影响。

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