Literature DB >> 30403579

Low Health Literacy and Health Information Avoidance but Not Satisficing Help Explain "Don't Know" Responses to Questions Assessing Perceived Risk.

Heather Orom1,2,3,4, Elizabeth Schofield1,2,3,4, Marc T Kiviniemi1,2,3,4, Erika A Waters1,2,3,4, Caitlin Biddle1,2,3,4, Xuewei Chen1,2,3,4, Yuelin Li1,2,3,4, Kimberly A Kaphingst1,2,3,4, Jennifer L Hay1,2,3,4.   

Abstract

BACKGROUND: People who say they don't know (DK) their disease risk are less likely to engage in protective behavior.
PURPOSE: This study examined possible mechanisms underlying not knowing one's risk for common diseases.
METHODS: Participants were a nationally representative sample of 1005 members of a standing probability-based survey panel who answered questions about their comparative and absolute perceived risk for diabetes and colon cancer, health literacy, risk factor knowledge and health information avoidance, and beliefs about illness unpredictability. Survey satisficing was a composite assessment of not following survey instructions, nondifferentiation of responses, haphazard responding, and speeding. The primary outcomes were whether a person selected DK when asked absolute and comparative risk perception questions about diabetes or colon cancer. Base structural equation modeling path models with pathways from information avoidance and health literacy/knowledge to DK responding for each DK outcome were compared to models that also included pathways from satisficing or unpredictability beliefs.
RESULTS: Base models contained significant indirect effects of health literacy (odds ratios [ORs] = 0.94 to 0.97, all P < 0.02) and avoidance (ORs = 1.05 to 1.15, all P < 0.01) on DK responding through risk factor knowledge and a direct effect of avoidance (ORs = 1.21 to 1.28, all P < 0.02). Adding the direct effect for satisficing to models resulted in poor fit (for all outcomes, residual mean square error estimates >0.17, all weighted root mean square residuals >3.2, all Comparative Fit Index <0.47, all Tucker-Lewis Index <0.49), indicating that satisficing was not associated with DK responding. Unpredictability was associated with not knowing one's diabetes risk (OR = 1.01, P < 0.01). LIMITATIONS: The data were cross-sectional; therefore, directionality of the pathways cannot be assumed.
CONCLUSIONS: DK responders may need more health information, but it needs to be delivered differently. Interventions might include targeting messages for lower health literacy audiences and disrupting defensive avoidance of threatening health information.

Entities:  

Keywords:  avoidance; don’t know responding; health literacy; perceived risk; satisficing

Mesh:

Year:  2018        PMID: 30403579      PMCID: PMC6226271          DOI: 10.1177/0272989X18799999

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  39 in total

1.  How to do research with self-administered surveys.

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2.  "I don't know" my cancer risk: exploring deficits in cancer knowledge and information-seeking skills to explain an often-overlooked participant response.

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4.  Reducing information avoidance through affirmation.

Authors:  Jennifer L Howell; James A Shepperd
Journal:  Psychol Sci       Date:  2012-01-12

Review 5.  Construct definition and scale development for defensive information processing: an application to colorectal cancer screening.

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Journal:  Health Psychol       Date:  2012-02-20       Impact factor: 4.267

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Review 7.  Using the common sense model to design interventions for the prevention and management of chronic illness threats: from description to process.

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8.  "I don't know" My Cancer Risk: Implications for Health Behavior Engagement.

Authors:  Erika A Waters; Marc T Kiviniemi; Heather Orom; Jennifer L Hay
Journal:  Ann Behav Med       Date:  2016-10

9.  Education-based disparities in knowledge of novel health risks: The case of knowledge gaps in HIV risk perceptions.

Authors:  Marc T Kiviniemi; Heather Orom; Erika A Waters; Megan McKillip; Jennifer L Hay
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Journal:  Diabetes Care       Date:  2014-08-14       Impact factor: 19.112

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Review 2.  Measuring Cigarette Smoking Risk Perceptions.

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3.  Dismissing "Don't Know" Responses to Perceived Risk Survey Items Threatens the Validity of Theoretical and Empirical Behavior-Change Research.

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5.  Health Literacy, Education, and Internal Consistency of Psychological Scales.

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6.  Double burden of COVID-19 knowledge deficit: low health literacy and high information avoidance.

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7.  What Causes Health Information Avoidance Behavior under Normalized COVID-19 Pandemic? A Research from Fuzzy Set Qualitative Comparative Analysis.

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8.  Who Is Able to Resist What Is Forbidden?-The Relationship between Health Literacy and Risk Behaviours in Secondary School Students in the Broader Social and Educational Context.

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9.  Examining strategies for addressing high levels of 'I don't know' responding to risk perception questions for colorectal cancer and diabetes: an experimental investigation.

Authors:  Jennifer L Hay; Elizabeth Schofield; Marc Kiviniemi; Erika A Waters; Xuewei Chen; Kimberly Kaphingst; Yuelin Li; Heather Orom
Journal:  Psychol Health       Date:  2020-09-02

10.  Limitations in American adults' awareness of and beliefs about alcohol as a risk factor for cancer.

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  10 in total

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