Literature DB >> 10854461

Population risk, actual risk, perceived risk, and cancer control: a discussion.

H Leventhal1, K Kelly, E A Leventhal.   

Abstract

Given the difficulty of converting population-based estimates of cancer risk into precise statements of individual risk, it is not surprising that (a) individual differences in risk perception are at best poorly correlated to the best available determination of "actual risk" and to behaviors to prevent and detect and treat cancer, and (b) success in bringing perceived risk into line with actual risk has been limited. These inconsistencies are of concern because individual perceptions of risk are thought to be important motivators of action for the prevention and early detection and treatment of cancer. Following the reviewer's suggestion that risk perceptions are readily influenced by contextual factors, we suggest examining risk perception in a self-regulatory framework in which both risk judgments and motivated action are products of underlying representations of cancer and the self. Self-assessments of risk may access only a part of the data necessary for motivation, whereas motivation to sustain action calls on a larger number of concrete features of the database (symptoms, time loss, consequences). Studies of cancer risk perception can make a major contribution to our understanding of processes involved in self-appraisals and self-management to maximize well-being and to avoid catastrophic disease.

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Year:  1999        PMID: 10854461     DOI: 10.1093/oxfordjournals.jncimonographs.a024214

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  39 in total

1.  Perceived risk for breast cancer and its relationship to mammography in Blacks, Hispanics, and Whites.

Authors:  Heather Orom; Marc T Kiviniemi; Vickie L Shavers; Levi Ross; Willie Underwood
Journal:  J Behav Med       Date:  2012-07-08

Review 2.  Illness representations, self-regulation, and genetic counseling: a theoretical review.

Authors:  Shoshana Shiloh
Journal:  J Genet Couns       Date:  2006-10       Impact factor: 2.537

3.  Risky communication: pitfalls in counseling about risk, and how to avoid them.

Authors:  K O'Doherty; G K Suthers
Journal:  J Genet Couns       Date:  2007-05-01       Impact factor: 2.537

4.  Subjective and Objective Risks of Carrying a BRCA1/2 Mutation in Individuals of Ashkenazi Jewish Descent.

Authors:  Kimberly Kelly; Howard Leventhal; Deborah Toppmeyer; Judy Much; James Dermody; Monica Marvin; Jill Baran; Marvin Schwalb
Journal:  J Genet Couns       Date:  2003-08       Impact factor: 2.537

5.  SI RLTD: Risk Scores and Decision Making: The Anatomy of a Decision to Reduce Breast Cancer Risk.

Authors:  Christine Holmberg; Mary Daly; Worta McCaskill-Stevens
Journal:  J Nurs Healthc Chronic Illn       Date:  2010-12

6.  'The thing is not knowing': patients' perspectives on surveillance of an indeterminate pulmonary nodule.

Authors:  Renda Soylemez Wiener; Michael K Gould; Steven Woloshin; Lisa M Schwartz; Jack A Clark
Journal:  Health Expect       Date:  2012-12-16       Impact factor: 3.377

7.  Exploring perceptions of cancer risk, neighborhood environmental risks, and health behaviors of blacks.

Authors:  LaShanta J Rice; Heather M Brandt; James W Hardin; Lucy Annang Ingram; Sacoby M Wilson
Journal:  J Community Health       Date:  2015-06

Review 8.  Decision making about cancer screening: an assessment of the state of the science and a suggested research agenda from the ASPO Behavioral Oncology and Cancer Communication Special Interest Group.

Authors:  Marc T Kiviniemi; Jennifer L Hay; Aimee S James; Isaac M Lipkus; Helen I Meissner; Michael Stefanek; Jamie L Studts; John F P Bridges; David R Close; Deborah O Erwin; Resa M Jones; Karen Kaiser; Kathryn M Kash; Kimberly M Kelly; Simon J Craddock Lee; Jason Q Purnell; Laura A Siminoff; Susan T Vadaparampil; Catharine Wang
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-11       Impact factor: 4.254

9.  Causal Attribution of Breast Cancer by Survivors in French West Indies.

Authors:  Philippe Kadhel; Caroline Schuster; Nathalie Grossat; Eustase Janky; Ali Ghassani
Journal:  J Cancer Educ       Date:  2018-04       Impact factor: 2.037

10.  The impact of personalized risk feedback on Mexican Americans' perceived risk for heart disease and diabetes.

Authors:  Shelly R Hovick; Anna V Wilkinson; Sato Ashida; Hendrik D de Heer; Laura M Koehly
Journal:  Health Educ Res       Date:  2014-01-24
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