BACKGROUND: The Gail model is validated to estimate breast carcinoma risk. The authors assessed the association of Gail risk scores with screening and cancer risk perception. METHODS: Using the 2000 National Health Interview Survey, the authors studied women ages 41-70 without a cancer history. Gail scores > or = 1.66% defined increased risk. The authors used logistic regression to assess associations between breast carcinoma risk and previous and recent (< or = 1 year) mammography and clinical breast examination (CBE). RESULTS: Of 6410 women, 15.7% had increased risk. High-risk women more frequently reported previous mammograms (94% vs. 85%; P < 0.0001), previous CBE (93% vs. 88%; P < 0.0001), recent mammograms (70% vs. 54%; P < 0.0001), recent CBE (71% vs. 61%; P < 0.0001), and high cancer risk perception (20% vs. 9%; P < 0.0001). However, 30% of high-risk women had not received a recent mammogram. After adjustment for sociodemographic factors, access to care factors, and cancer risk perception, high-risk women remained more likely to have received recent mammography (adjusted odds ratio [OR], 1.45, 95% confidence interval [95% CI], 1.19-1.77), recent CBE (OR, 1.32; 95% CI, 1.08-1.61]), and previous mammography than average-risk women. The authors observed an interaction between risk and age, with women ages 41-49 years more frequently reporting previous mammography (OR, 4.79; 95% CI, 1.55-4.81) than average-risk, same-age women. For women age > or = 50 years, the odds of previous mammography were similar regardless of risk. CONCLUSIONS: In a nationally representative sample, 15.7% of women had increased breast carcinoma risk using the Gail model. High-risk women perceived higher cancer risk and more often received screening. However, nearly one in three high-risk women did not receive recent screening and most of these women did not perceive increased risk. Copyright 2004 American Cancer Society.
BACKGROUND: The Gail model is validated to estimate breast carcinoma risk. The authors assessed the association of Gail risk scores with screening and cancer risk perception. METHODS: Using the 2000 National Health Interview Survey, the authors studied women ages 41-70 without a cancer history. Gail scores > or = 1.66% defined increased risk. The authors used logistic regression to assess associations between breast carcinoma risk and previous and recent (< or = 1 year) mammography and clinical breast examination (CBE). RESULTS: Of 6410 women, 15.7% had increased risk. High-risk women more frequently reported previous mammograms (94% vs. 85%; P < 0.0001), previous CBE (93% vs. 88%; P < 0.0001), recent mammograms (70% vs. 54%; P < 0.0001), recent CBE (71% vs. 61%; P < 0.0001), and high cancer risk perception (20% vs. 9%; P < 0.0001). However, 30% of high-risk women had not received a recent mammogram. After adjustment for sociodemographic factors, access to care factors, and cancer risk perception, high-risk women remained more likely to have received recent mammography (adjusted odds ratio [OR], 1.45, 95% confidence interval [95% CI], 1.19-1.77), recent CBE (OR, 1.32; 95% CI, 1.08-1.61]), and previous mammography than average-risk women. The authors observed an interaction between risk and age, with women ages 41-49 years more frequently reporting previous mammography (OR, 4.79; 95% CI, 1.55-4.81) than average-risk, same-age women. For women age > or = 50 years, the odds of previous mammography were similar regardless of risk. CONCLUSIONS: In a nationally representative sample, 15.7% of women had increased breast carcinoma risk using the Gail model. High-risk women perceived higher cancer risk and more often received screening. However, nearly one in three high-risk women did not receive recent screening and most of these women did not perceive increased risk. Copyright 2004 American Cancer Society.
Authors: Susan A Sabatino; Risa B Burns; Roger B Davis; Russell S Phillips; Ellen P McCarthy Journal: J Gen Intern Med Date: 2006-04 Impact factor: 5.128
Authors: Jacqueline W Miller; Susan A Sabatino; Trevor D Thompson; Nancy Breen; Mary C White; A Blythe Ryerson; Stephen Taplin; Rachel Ballard-Barbash Journal: Cancer Epidemiol Biomarkers Prev Date: 2012-11-15 Impact factor: 4.254