Evidence map›Paper›PMID 29393593›Full record

ArticleBritish journal of health psychology2018

Don't know responses to cognitive and affective risk perception measures: Exploring prevalence and socio-demographic moderators.

Eva Janssen, Philippe Verduyn, Erika A Waters

Abstract read
In one paragraph

Article in British journal of health psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Dismissing "Don't Know" Responses to Perceived Risk Survey Items Threatens the Validity of Theoretical and Empirical Behavior-Change Research.Perspectives on psychological science : a journal of the Association for Psychological Science · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Specifying Future Behavior When Assessing Risk Perceptions: Implications for Measurement and Theory.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Eva JanssenDepartment of Work and Social Psychology, Maastricht University, The Netherlands.ORCID 0000-0002-0715-2344
Philippe VerduynDepartment of Work and Social Psychology, Maastricht University, The Netherlands.
Erika A WatersDivision of Public Health Sciences, Department of Surgery, School of Medicine, Washington University, Saint Louis, Missouri, USA.

Funding

COMMUNICATING MULTIPLE DISEASE RISKS: A TRANSLATION OF RISK PREDICTION SCIENCER01CA190391 · NCI · WASHINGTON UNIVERSITY · PI WATERS, ERIKA A · 2015 to 2018
$1.4M
NCI NIH HHS R01 CA190391
6 · The paper itself

Abstract

objectivesMany people report uncertainty when appraising their risk of cancer and other diseases, but prior research about the topic has focused solely on cognitive risk perceptions. We investigated uncertainty related to cognitive and affective risk questions. We also explored whether any differences in uncertainty between cognitive and affective questions varied in magnitude by item-specific or socio-demographic characteristics.

designSecondary analysis of data collected for a 2 × 2 × 3 full-factorial risk communication experiment (N = 835) that was embedded within an online survey.

methodsWe investigated the frequency of 'don't know' responses (DKR) to eight perceived risk items that varied according to whether they assessed (1) cognitive versus affective perceived risk, (2) absolute versus comparative risk, and (3) colon cancer versus 'any exercise-related diseases'. Socio-demographics were as follows: sex, age, education, family history, and numeracy. We analysed the data using multilevel logistic regression.

resultsThe odds of DKR were lower for affective than cognitive perceived risk (OR = 0.64, p < .001). This difference occurred for absolute but not comparative risk perceptions (interaction effect, p = .004), but no interactions for disease type or demographic characteristics were found (ps > .05).

conclusionsLower uncertainty for affective (vs. cognitive) absolute perceived risk items is consistent with research stating: (1) Risk perceptions are grounded in people's feelings about a hazard, and (2) feelings are easier for people to access than facts. Including affective perceived risk items in health behaviour surveys may reduce missing data and improve data quality. Statement of contribution What is already known on this subject? Many people report that they don't know their risk (i.e., risk uncertainty). Evidence is growing for the importance of feelings of risk in explaining health behaviour. Feelings are easier for people to access than facts. What does this study add? Don't know responding is higher for absolute cognitive than absolute affective risk questions. This difference does not vary in magnitude by demographic characteristics. Affective perceived risk questions in surveys may reduce missing data and improve data quality.

Indexed as

AffectCognitionUncertaintyAdultAgedFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceRiskSocioeconomic Factorsaffectcognitionrisk perceptionuncertainty

Identifiers

PMID29393593
PMCPMC5882575

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.