Literature DB >> 15598767

A prospective study of perceived susceptibility to breast cancer and nonadherence to mammography screening guidelines in African American and White women ages 40 to 79 years.

Lisa Calvocoressi1, Stanislav V Kasl, Carol H Lee, Marilyn Stolar, Elizabeth B Claus, Beth A Jones.   

Abstract

This prospective study examined the influence of perceived susceptibility to breast cancer on nonadherence to recommended mammography screening guidelines. The study population included 1,229 African American and White women ages 40 to 79 years who obtained an index mammography screening examination at one of five urban hospitals in Connecticut between October 1996 and January 1998. Information on perceived susceptibility to breast cancer and on multiple covariates was obtained by telephone interview on average 1.5 months after the index screening. Subsequent adherence to mammography screening guidelines was ascertained by follow-up interview on average 29 months after the index exam. Across race, age, and family breast cancer history, women who believed that their susceptibility was high (i.e., "very likely" to develop breast cancer) were less likely to adhere to screening guidelines than women who believed that their susceptibility was moderate [adjusted odds ratio (OR), 2.83; 95% confidence interval (CI), 1.51-5.30], but the effect was stronger in older women. Women ages 40 to 49 years (but not ages 50-79 years) who believed that their susceptibility was low (i.e., "not likely" or "a little likely" to develop breast cancer) were also less likely to adhere to guidelines than those who reported moderate susceptibility (adjusted OR, 3.07; 95% CI, 1.66-5.68, and adjusted OR, 2.78; 95% CI, 1.63-4.73). In contrast to most previous studies that found a positive linear relationship between perceived susceptibility to breast cancer and mammography screening, these findings suggest a more complex relationship that should be considered when developing interventions to improve adherence to mammography screening guidelines.

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Year:  2004        PMID: 15598767

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  35 in total

1.  Intervention tailoring for Chinese American women: comparing the effects of two videos on knowledge, attitudes and intentions to obtain a mammogram.

Authors:  Judy Huei-yu Wang; Marc D Schwartz; George Luta; Annette E Maxwell; Jeanne S Mandelblatt
Journal:  Health Educ Res       Date:  2012-02-10

2.  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

3.  Inconsistent mammography perceptions and practices among women at risk of breast cancer following a pediatric malignancy: a report from the Childhood Cancer Survivor Study.

Authors:  Stephanie M Smith; Jennifer S Ford; William Rakowski; Chaya S Moskowitz; Lisa Diller; Melissa M Hudson; Ann C Mertens; Annette L Stanton; Tara O Henderson; Wendy M Leisenring; Leslie L Robison; Kevin C Oeffinger
Journal:  Cancer Causes Control       Date:  2010-05-27       Impact factor: 2.506

4.  The relation between projected breast cancer risk, perceived cancer risk, and mammography use. Results from the National Health Interview Survey.

Authors:  C P Gross; G Filardo; H S Singh; A N Freedman; M H Farrell
Journal:  J Gen Intern Med       Date:  2005-12-22       Impact factor: 5.128

5.  Adequacy of communicating results from screening mammograms to African American and White women.

Authors:  Beth A Jones; Kam Reams; Lisa Calvocoressi; Amy Dailey; Stanislav V Kasl; Nancy M Liston
Journal:  Am J Public Health       Date:  2007-01-31       Impact factor: 9.308

6.  Does gender discrimination impact regular mammography screening? Findings from the race differences in screening mammography study.

Authors:  Amy B Dailey; Stanislav V Kasl; Beth A Jones
Journal:  J Womens Health (Larchmt)       Date:  2008-03       Impact factor: 2.681

7.  Concordance of population-based estimates of mammography screening.

Authors:  Denise M Boudreau; Casey L Luce; Evette Ludman; Amy E Bonomi; Paul A Fishman
Journal:  Prev Med       Date:  2007-07-17       Impact factor: 4.018

8.  Randomized trial of a lay health advisor and computer intervention to increase mammography screening in African American women.

Authors:  Kathleen M Russell; Victoria L Champion; Patrick O Monahan; Sandra Millon-Underwood; Qianqian Zhao; Nicole Spacey; Nathan L Rush; Electra D Paskett
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-01       Impact factor: 4.254

9.  Factors associated with use of breast cancer screening services by women aged >or= 40 years in Korea: the third Korea National Health and Nutrition Examination Survey 2005 (KNHANES III).

Authors:  Kiheon Lee; Hyung Taek Lim; Sang Min Park
Journal:  BMC Cancer       Date:  2010-04-16       Impact factor: 4.430

10.  Age differences in mammography screening reconsidered: life course trajectories in 13 European countries.

Authors:  Sarah Missinne; Piet Bracke
Journal:  Eur J Public Health       Date:  2014-07-04       Impact factor: 3.367

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