BACKGROUND: The relationship between obesity and screening mammography adherence has been examined previously, yet few studies have investigated obesity as a potential mediator of timely follow-up of abnormal (Breast Imaging Reporting and Data System [BIRADS-0]) mammography results in minority and medically underserved patients. METHODS: We conducted a retrospective cohort study of 35 women who did not return for follow-up >6 months from index abnormal mammography and 41 who returned for follow-up < or =6 months in Nashville, Tennessee. Patients with a BIRADS-0 mammography event in 2003-2004 were identified by chart review. Breast cancer risk factors were collected by telephone interview. Multivariate logistic regression was performed on selected factors with return for diagnostic follow-up. RESULTS: Obesity and gynecological history were significant predictors of abnormal mammography resolution. A significantly higher frequency of obese women delayed return for mammography resolution compared with nonobese women (64.7% vs. 35.3%). A greater number of hysterectomized women returned for diagnostic follow-up compared with their counterparts without a hysterectomy (77.8% vs. 22.2%). Obese patients were more likely to delay follow-up >6 months (adjusted OR 4.09, p = 0.02). Conversely, hysterectomized women were significantly more likely to return for timely mammography follow-up < or =6 months (adjusted OR 7.95, p = 0.007). CONCLUSIONS: Study results suggest that weight status and gynecological history influence patients' decisions to participate in mammography follow-up studies. Strategies are necessary to reduce weight-related barriers to mammography follow-up in the healthcare system including provider training related to mammography screening of obese women.
BACKGROUND: The relationship between obesity and screening mammography adherence has been examined previously, yet few studies have investigated obesity as a potential mediator of timely follow-up of abnormal (Breast Imaging Reporting and Data System [BIRADS-0]) mammography results in minority and medically underserved patients. METHODS: We conducted a retrospective cohort study of 35 women who did not return for follow-up >6 months from index abnormal mammography and 41 who returned for follow-up < or =6 months in Nashville, Tennessee. Patients with a BIRADS-0 mammography event in 2003-2004 were identified by chart review. Breast cancer risk factors were collected by telephone interview. Multivariate logistic regression was performed on selected factors with return for diagnostic follow-up. RESULTS:Obesity and gynecological history were significant predictors of abnormal mammography resolution. A significantly higher frequency of obesewomen delayed return for mammography resolution compared with nonobese women (64.7% vs. 35.3%). A greater number of hysterectomized women returned for diagnostic follow-up compared with their counterparts without a hysterectomy (77.8% vs. 22.2%). Obesepatients were more likely to delay follow-up >6 months (adjusted OR 4.09, p = 0.02). Conversely, hysterectomized women were significantly more likely to return for timely mammography follow-up < or =6 months (adjusted OR 7.95, p = 0.007). CONCLUSIONS: Study results suggest that weight status and gynecological history influence patients' decisions to participate in mammography follow-up studies. Strategies are necessary to reduce weight-related barriers to mammography follow-up in the healthcare system including provider training related to mammography screening of obesewomen.
Authors: Alecia Malin Fair; Debra Wujcik; Jin-Mann Sally Lin; Wei Zheng; Kathleen M Egan; Ana M Grau; Victoria L Champion; Kenneth A Wallston Journal: J Health Care Poor Underserved Date: 2010-02
Authors: Nicolien T van Ravesteyn; Clyde B Schechter; Aimee M Near; Eveline A M Heijnsdijk; Michael A Stoto; Gerrit Draisma; Harry J de Koning; Jeanne S Mandelblatt Journal: Cancer Epidemiol Biomarkers Prev Date: 2010-11-30 Impact factor: 4.254
Authors: Danielle D Durham; Whitney R Robinson; Sheila S Lee; Stephanie B Wheeler; Katherine E Reeder-Hayes; J Michael Bowling; Andrew F Olshan; Louise M Henderson Journal: Cancer Epidemiol Biomarkers Prev Date: 2016-11 Impact factor: 4.254
Authors: Cindy K Blair; Charles L Wiggins; Andrea M Nibbe; Curt B Storlie; Eric R Prossnitz; Melanie Royce; Lesley C Lomo; Deirdre A Hill Journal: NPJ Breast Cancer Date: 2019-10-02