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Evaluating the Extended Parallel Process Model’s Danger Control Predictions in the Context of Dense Breast Notification Laws
- Source :
- Health Commun
- Publication Year :
- 2020
-
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.
- Subjects :
- Health (social science)
050801 communication & media studies
Legislation
Context (language use)
Breast Neoplasms
Intention
Article
Convention
03 medical and health sciences
0508 media and communications
Extended parallel process model
Humans
Breast density
Control (linguistics)
Health communication
Breast Density
030505 public health
Breast tissue
Communication
05 social sciences
Health Communication
Female
0305 other medical science
Psychology
Social psychology
Mammography
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Health Commun
- Accession number :
- edsair.doi.dedup.....252964625ff9ea274d0143204dabcf44