Construct definition and scale development for defensive information processing: an application to colorectal cancer screening
- PMID: 22353026
- DOI: 10.1037/a0027311
Construct definition and scale development for defensive information processing: an application to colorectal cancer screening
Abstract
Objective: Individuals have a large repertoire of defensive strategies for dealing with personally relevant negative feedback including health risk information. Defensive processes are covered in a diverse literature and in theoretical models such as the extended parallel process model, but outside the psychopathological domain, little attention has been paid to the conceptualization and measurement of defenses. In this study, we reviewed the broad literature and developed an integrated conceptual model of various defensive strategies to guide measurement development. In addition, we developed and tested measures of defensiveness for colorectal cancer screening, an important public health issue.
Method: We conducted 2 surveys of independent samples of screening-age adults (n = 226, 287) to iteratively test and refine measures using confirmatory factor analysis and structural equation models.
Results: Our conceptual model informed our development of measures for 4 stages of defensive information processing (attention avoidance, blunting, suppression, and counterarguing) and the literature review identified potential measures for each stage. Final subscales ranged from 3 to 8 items, showed good internal reliability, and demonstrated expected patterns of association with other correlates of colorectal cancer screening. Items available in both surveys were found to be largely invariant across adherence status to screening guidelines.
Conclusion: Future research is planned to replicate and validate these scales. We anticipate that the conceptual model and sample measures will increase understanding of defensive processes and can be used in the design and evaluation of future interventions and cancer risk communications to potentially reach and impact more resistant individuals.
Similar articles
-
Examining patterns of association with defensive information processing about colorectal cancer screening.J Health Psychol. 2014 Nov;19(11):1443-58. doi: 10.1177/1359105313493649. Epub 2013 Jul 17. J Health Psychol. 2014. PMID: 23864072
-
Validation of health literacy domains for informed decision making about colorectal cancer screening using classical test theory and item response theory.Patient Educ Couns. 2019 Dec;102(12):2335-2343. doi: 10.1016/j.pec.2019.09.016. Epub 2019 Sep 18. Patient Educ Couns. 2019. PMID: 31561933
-
Development and validation of an instrument to measure factors related to colorectal cancer screening adherence.Cancer Epidemiol Biomarkers Prev. 1997 Oct;6(10):825-32. Cancer Epidemiol Biomarkers Prev. 1997. PMID: 9332766
-
Factorial validity and invariance of a survey measuring psychosocial correlates of colorectal cancer screening in Ontario, Canada--a replication study.Cancer Epidemiol Biomarkers Prev. 2008 Nov;17(11):3279-83. doi: 10.1158/1055-9965.EPI-08-0241. Cancer Epidemiol Biomarkers Prev. 2008. PMID: 18990772
-
Optimising colorectal cancer screening acceptance: a review.Gut. 2015 Jul;64(7):1158-77. doi: 10.1136/gutjnl-2014-308081. Epub 2015 Apr 8. Gut. 2015. PMID: 26059765 Review.
Cited by
-
Reactance to Health Warnings Scale: Development and Validation.Ann Behav Med. 2016 Oct;50(5):736-750. doi: 10.1007/s12160-016-9799-3. Ann Behav Med. 2016. PMID: 27333895 Free PMC article. Clinical Trial.
-
The association between patient activation and accessing online health information: results from a national survey of US adults.Health Expect. 2015 Dec;18(6):3262-73. doi: 10.1111/hex.12316. Epub 2014 Dec 5. Health Expect. 2015. PMID: 25475371 Free PMC article.
-
Reactions to FDA-Proposed Graphic Warning Labels Affixed to U.S. Smokers' Cigarette Packs.Nicotine Tob Res. 2015 Jul;17(7):784-95. doi: 10.1093/ntr/ntu339. Epub 2015 Jan 14. Nicotine Tob Res. 2015. PMID: 25589676 Free PMC article.
-
[A gendered perspective of information behaviors, its drivers, and barriers : Results of an online survey of a sample stratified for the German population].Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2023 Oct;66(10):1153-1162. doi: 10.1007/s00103-023-03757-6. Epub 2023 Sep 5. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2023. PMID: 37668610 Free PMC article. German.
-
Testing Explanations for Skepticism of Personalized Risk Information.Med Decis Making. 2023 May;43(4):430-444. doi: 10.1177/0272989X231162824. Epub 2023 Apr 2. Med Decis Making. 2023. PMID: 37005827 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical