The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Predicting Risk Behaviors: Development and Validation of a Diagnostic Scale
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Putting the fear back into fear appeals: the extended parallel process model
Witte, K. (1992) · Communication Monographs · doi:10.1080/03637759209376276 · Cited by 3,880
Cited by
A Meta-Analysis of Fear Appeals: Implications for Effective Public Health Campaigns
Witte, K., & Allen, M. (2000) · Health Education & Behavior · doi:10.1177/109019810002700506 · Cited by 3,216
Self-citationToward a Unified Model of Information Security Policy Compliance1
Moody, G. D., Siponen, M., & Pahnila, S. (2018) · MIS Quarterly · doi:10.25300/misq/2018/13853 · Cited by 450
The Extended Parallel Process Model: Illuminating the Gaps in Research
Popova, L. (2012) · Health Education & Behavior · doi:10.1177/1090198111418108 · Cited by 361
Pizam, A., Jeong, G.-H., Reichel, A., van Boemmel, H., Lusson, J. M., Steynberg, L., State-Costache, O., Volo, S., Kroesbacher, C., Kucerova, J., et al. (2004) · Journal of Travel Research · doi:10.1177/0047287503258837 · Cited by 325
Liu, S., Lithopoulos, A., Zhang, C.-Q., Garcia-Barrera, M. A., & Rhodes, R. E. (2021) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110351 · Cited by 321
Parental attitudes to pre-pubertal HPV vaccination
Marlow, L. A. V., Waller, J., & Wardle, J. (2007) · Vaccine · doi:10.1016/j.vaccine.2007.01.059 · Cited by 245
Bilandzic, H., Kalch, A., & Soentgen, J. (2017) · Science Communication · doi:10.1177/1075547017718553 · Cited by 144
Madhivanan, P., Li, T., Srinivas, V., Marlow, L., Mukherjee, S., & Krupp, K. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.04.002 · Cited by 52
Grimley, C. E., Kato, P. M., & Grunfeld, E. A. (2020) · British Journal of Health Psychology · doi:10.1111/bjhp.12397 · Cited by 47
Degarege, A., Krupp, K., Fennie, K., Srinivas, V., Li, T., Stephens, D. P., Marlow, L. A. V., Arun, A., & Madhivanan, P. (2018) · Journal of Pediatric and Adolescent Gynecology · doi:10.1016/j.jpag.2018.07.008 · Cited by 34
Fear appeals to promote better health behaviors: an investigation of potential mediators
Moussaoui, L. S., Claxton, N., & Desrichard, O. (2021) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2021.1947290 · Cited by 30
Degarege, A., Krupp, K., Fennie, K., Srinivas, V., Li, T., Stephens, D. P., & Madhivanan, P. (2019) · Vaccine · doi:10.1016/j.vaccine.2019.01.012 · Cited by 29
Degarege, A., Krupp, K., Fennie, K., Li, T., Stephens, D. P., Marlow, L. A. V., Srinivas, V., Arun, A., & Madhivanan, P. (2018) · Journal of Pediatric and Adolescent Gynecology · doi:10.1016/j.jpag.2018.03.008 · Cited by 29
Wissinger, C. L., & Stiegler, Z. (2019) · Teaching and Learning in Medicine · doi:10.1080/10401334.2018.1528155 · Cited by 16
Degarege, A., Krupp, K., Srinivas, V., Ibrahimou, B., Marlow, L. A. V., Arun, A., & Madhivanan, P. (2018) · Journal of Obstetrics and Gynaecology Research · doi:10.1111/jog.13765 · Cited by 10
Metadata
- Authors
- WITTE, K.
- Venue
- Journal of Health Communication
- Publisher
- Informa UK Limited
- Published
- 1996-10
- Volume
- 1
- Issue
- 4
- Pages
- 317-342
- ISSN
- 1081-0730 (ISSN-L)
- 1087-0415
- OpenAlex
- W2088252829
- Cited by
- 758
- References
- 2
- FWCI
- 2.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
