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Measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk
Although a key function of cancer genetics services is to provide risk information, to date there has been little consistency in the way in which breast cancer risk perception has been measured. The aims of the study were to measure estimates of (i) population risk, (ii) absolute risk and (iii) comp...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Nature Publishing Group
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2653735/ https://www.ncbi.nlm.nih.gov/pubmed/19209174 http://dx.doi.org/10.1038/sj.bjc.6604910 |
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author | Apicella, C Peacock, S J Andrews, L Tucker, K Daly, M B Hopper, J L |
author_facet | Apicella, C Peacock, S J Andrews, L Tucker, K Daly, M B Hopper, J L |
author_sort | Apicella, C |
collection | PubMed |
description | Although a key function of cancer genetics services is to provide risk information, to date there has been little consistency in the way in which breast cancer risk perception has been measured. The aims of the study were to measure estimates of (i) population risk, (ii) absolute risk and (iii) comparative risk of developing breast cancer for Ashkenazi Jewish women, and to determine predictors of breast cancer risk perception. Of 152 women, 107 (70%) completed all questions. The mean (s.d.) estimates for population risk, absolute risk and comparative risk were 22.7% (15.9), 31.8% (20.6) and 1.9-fold (1.9), respectively. Most women overestimated population risk. Women at population risk generally overestimated the population risk and their own absolute risk, yet understood they are at the same risk as the population. Those with a family history understood that they are at increased risk, but underestimated the extent to which their familial risk is increased. Anxiety, high estimation of population risk and lesser family history predicted overestimation of absolute risk, whereas high estimation of population risk and a strong family history predicted underestimation of comparative risk. |
format | Text |
id | pubmed-2653735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-26537352009-07-22 Measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk Apicella, C Peacock, S J Andrews, L Tucker, K Daly, M B Hopper, J L Br J Cancer Clinical Study Although a key function of cancer genetics services is to provide risk information, to date there has been little consistency in the way in which breast cancer risk perception has been measured. The aims of the study were to measure estimates of (i) population risk, (ii) absolute risk and (iii) comparative risk of developing breast cancer for Ashkenazi Jewish women, and to determine predictors of breast cancer risk perception. Of 152 women, 107 (70%) completed all questions. The mean (s.d.) estimates for population risk, absolute risk and comparative risk were 22.7% (15.9), 31.8% (20.6) and 1.9-fold (1.9), respectively. Most women overestimated population risk. Women at population risk generally overestimated the population risk and their own absolute risk, yet understood they are at the same risk as the population. Those with a family history understood that they are at increased risk, but underestimated the extent to which their familial risk is increased. Anxiety, high estimation of population risk and lesser family history predicted overestimation of absolute risk, whereas high estimation of population risk and a strong family history predicted underestimation of comparative risk. Nature Publishing Group 2009-02-24 2009-02-10 /pmc/articles/PMC2653735/ /pubmed/19209174 http://dx.doi.org/10.1038/sj.bjc.6604910 Text en Copyright © 2009 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Clinical Study Apicella, C Peacock, S J Andrews, L Tucker, K Daly, M B Hopper, J L Measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk |
title | Measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk |
title_full | Measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk |
title_fullStr | Measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk |
title_full_unstemmed | Measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk |
title_short | Measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk |
title_sort | measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2653735/ https://www.ncbi.nlm.nih.gov/pubmed/19209174 http://dx.doi.org/10.1038/sj.bjc.6604910 |
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