Literature DB >> 16313212

Perceived risk of breast cancer among women at average and increased risk.

Jennifer S Haas1, Celia P Kaplan, Genevieve Des Jarlais, Virginia Gildengoin, Eliseo J Pérez-Stable, Karla Kerlikowske.   

Abstract

BACKGROUND: The accuracy of a woman's perception of her risk of developing breast cancer has gained importance as more options for primary prevention have become available for those at increased risk. Conversely, women at average risk who perceive themselves as at increased risk may suffer from avoidable anxiety or unnecessary treatment. This study examined characteristics associated with perception of breast cancer risk among women at average and increased risk.
METHODS: We included 1700 women 40-74 years old without a history of breast cancer. The outcome variable was a woman's perceived lifetime risk of developing breast cancer. The Gail model was used to categorize a woman's actual risk as average or high. Multivariate logistic regression models were used to model a woman's perception that her risk was (1) higher than average for those whose Gail score indicated average risk (<1.67% 5-year risk) and (2) accurate for those whose Gail score indicated increased risk (> or = 1.67% 5-year risk).
RESULTS: Of women at average risk, 72%, but only 43% of those at high risk, accurately perceived their risk. Among women at average risk, those who were younger, had a family history of breast cancer, had no history of childbirth, or had more frequent exposure to lay media information about breast health were more likely than women without these characteristics to overestimate their future risk. Among women at increased risk, younger women and those with a family history of breast cancer were more likely than women without these characteristics to accurately perceive their increased risk. African American women were less likely than white women to accurately perceive their risk.
CONCLUSIONS: A majority of women at high risk of developing breast cancer underestimate their risk, and a substantial proportion of women at average risk perceive they are at increased risk.

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Year:  2005        PMID: 16313212     DOI: 10.1089/jwh.2005.14.845

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   2.681


  37 in total

1.  Disparities in cancer screening in individuals with a family history of breast or colorectal cancer.

Authors:  Ninez A Ponce; Jennifer Tsui; Sara J Knight; Aimee Afable-Munsuz; Uri Ladabaum; Robert A Hiatt; Jennifer S Haas
Journal:  Cancer       Date:  2011-08-25       Impact factor: 6.860

2.  Willingness to use tamoxifen to prevent breast cancer among diverse women.

Authors:  Celia Patricia Kaplan; Sue E Kim; Sabrina T Wong; George F Sawaya; Judith M E Walsh; Eliseo J Pérez-Stable
Journal:  Breast Cancer Res Treat       Date:  2012-05       Impact factor: 4.872

3.  Disentangling the influence of socioeconomic status on differences between African American and white women in unmet medical needs.

Authors:  Jacqueline C Wiltshire; Sharina D Person; Catarina I Kiefe; Jeroan J Allison
Journal:  Am J Public Health       Date:  2009-07-16       Impact factor: 9.308

4.  Women with Family History of Breast Cancer: How Much Are They Aware of Their Risk?

Authors:  Memnun Seven; Gülcan Bağcivan; Aygul Akyuz; Ferdağ Bölükbaş
Journal:  J Cancer Educ       Date:  2018-08       Impact factor: 2.037

5.  The Complexity of Achieving the Promise of Precision Breast Cancer Screening.

Authors:  Jennifer S Haas
Journal:  J Natl Cancer Inst       Date:  2017-01-27       Impact factor: 13.506

6.  Breast Cancer Risks and Effectiveness of BSE Training among Women Living in a District of İstanbul.

Authors:  Kamer Gür; Hasibe Kadıoğlu; Ayşe Sezer
Journal:  J Breast Health       Date:  2014-07-01

7.  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

Review 8.  Prevention of breast cancer in postmenopausal women: approaches to estimating and reducing risk.

Authors:  Steven R Cummings; Jeffrey A Tice; Scott Bauer; Warren S Browner; Jack Cuzick; Elad Ziv; Victor Vogel; John Shepherd; Celine Vachon; Rebecca Smith-Bindman; Karla Kerlikowske
Journal:  J Natl Cancer Inst       Date:  2009-03-10       Impact factor: 13.506

9.  How old are African American women when they receive their first mammogram? Results from a church-based study.

Authors:  Janice V Bowie; Anita M Wells; Hee-Soon Juon; Kim D Sydnor; Elisa M Rodriguez
Journal:  J Community Health       Date:  2008-08

10.  Perceived and objective breast cancer risk assessment in Chilean women living in an underserved area.

Authors:  Matthew P Banegas; Klaus Püschel; Javiera Martínez-Gutiérrez; Jennifer C Anderson; Beti Thompson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-07-26       Impact factor: 4.254

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