
ORIGINAL REPORTS
Breast Cancer
Article Tools

OPTIONS & TOOLS
COMPANION ARTICLES
ARTICLE CITATION
DOI: 10.1200/JCO.2012.46.5765 Journal of Clinical Oncology - published online before print April 8, 2013
PMID: 23569314
Alcohol Consumption Before and After Breast Cancer Diagnosis: Associations With Survival From Breast Cancer, Cardiovascular Disease, and Other Causes
Alcohol intake is associated with increased risk of breast cancer. In contrast, the relation between alcohol consumption and breast cancer survival is less clear.
We assessed pre- and postdiagnostic alcohol intake in a cohort of 22,890 women with incident invasive breast cancer who were residents of Wisconsin, Massachusetts, or New Hampshire and diagnosed from 198 to 200 at ages 20 to 79 years. All women reported on prediagnostic intake; a subsample of 4,881 reported on postdiagnostic intake.
During a median follow-up of 11.3 years from diagnosis, 7,780 deaths occurred, including 3,484 resulting from breast cancer. Hazard ratios (HR) and 95% CIs were estimated. Based on a quadratic analysis, moderate alcohol consumption before diagnosis was modestly associated with disease-specific survival (compared with nondrinkers, HR = 0.93 [95% CI, 0.85 to 1.02], 0.85 [95% CI, 0.75 to 0.95], 0.88 [95% CI, 0.75 to 1.02], and 0.89 [95% CI, 0.77 to 1.04] for two or more, three to six, seven to nine, and ≥ 10 drinks/wk, respectively). Alcohol consumption after diagnosis was not associated with disease-specific survival (compared with nondrinkers, HR = 0.88 [95% CI, 0.61 to 1.27], 0.80 [95% CI, 0.49 to 1.32], 1.01 [95% CI, 0.55 to 1.87], and 0.83 [95% CI, 0.45 to 1.54] for two or more, three to six, seven to nine, and ≥ 10 drinks/wk, respectively). Results did not vary by beverage type. Women consuming moderate levels of alcohol, either before or after diagnosis, experienced better cardiovascular and overall survival than nondrinkers.
Overall alcohol consumption before diagnosis was not associated with disease-specific survival, but we found a suggestion favoring moderate consumption. There was no evidence for an association with postdiagnosis alcohol intake and breast cancer survival. This study, however, does provide support for a benefit of limited alcohol intake for cardiovascular and overall survival in women with breast cancer.
Women with breast cancer may be concerned that their lifestyle choices before diagnosis will affect their prognosis and may wonder whether modifying these behaviors might improve survival.1–4 One readily modified factor is alcohol intake. Evidence is now incontrovertible that even moderate alcohol consumption increases risk of breast cancer5–11; for each drink increase in average daily alcohol consumption, the relative risk of breast cancer increases by 7%.8 There is, however, mixed information on whether prediagnostic alcohol consumption is related to breast cancer survival12–31 and limited literature on the association between postdiagnostic alcohol intake and survival.17,27
Most studies have observed no relation between prediagnostic alcohol intake and breast cancer–specific or overall survival12–14,17–27; however, some have found poorer disease-specific survival,15–17 and others have found better overall survival among drinkers.28–31 Studies of overall survival among women with breast cancer include deaths from other cancers and chronic diseases, including cardiovascular disease, the latter being consistent in its inverse association with alcohol intake.32–34
The health impact of alcohol consumption after a breast cancer diagnosis is salient for the 3,000,000 breast cancer survivors in the United States today.35,36 To more fully evaluate this association, we analyzed data from a well-characterized cohort of 22,890 women with incident invasive breast cancer who reported on alcohol history and other factors before diagnosis.37 We also examined a sub-cohort of these women who completed surveys on alcohol consumption and other behaviors after diagnosis.38–41
The Collaborative Breast Cancer Study (CBCS) began in 1988 as a multisite population-based case-control study of risk factors for breast cancer in New Hampshire, Massachusetts, and Wisconsin.37,42 A total of 23,344 women with incident breast cancer were enrolled during five successive study phases. Age eligibility varied by phase: from ages 20 to 74 years (1988 to 1991), to ages 50 to 79 years (1992 to 1995), and, more recently, ages 20 to 69 years at diagnosis (1997 to 2008). Approximately 80% of eligible women invited to join the study agreed to participate. For these analyses, we excluded 433 women (2%) with missing information on prediagnostic alcohol consumption, and 21 women (0.1%) with unknown vital status, leaving 22,890 eligible women.
After the completion of the CBCS, patients were invited to participate in a survivorship cohort, termed the Collaborative Women's Longevity Study (CWLS). From 1998 to 2001, we mailed a follow-up questionnaire to 14,621 women known to be alive to assess how exposures may have changed after diagnosis. In total, 5,791 women (40%) returned the follow-up questionnaire. We excluded 34 women (0.6%) who had been diagnosed with metastatic disease at baseline, 617 women (11%) who reported a breast cancer recurrence, 155 women (3%) who reported that breast cancer treatment significantly interfered with diet, and 104 women (2%) missing data from the postdiagnosis alcohol questions. After these exclusions, 4,881 women were included in postdiagnosis analyses. All study activities were approved by the respective study sites' institutional review boards.
At study enrollment, all women completed a structured baseline telephone interview that included information on lifetime alcohol consumption up to diagnosis, including separate questions on the amount and frequency of beer, wine, and spirits intake. Typical serving sizes were defined as a 12 oz. can/bottle of beer, a 5 oz. glass of wine, or a 1.5 oz. serving of spirits.43
The questionnaire also elicited information on other breast cancer risk factors, including reproductive and menstrual history, physical activity, height, weight, use of oral contraceptives and postmenopausal hormones, and personal and family history of cancer. Selected clinical information was obtained from state cancer registries, including date and stage at diagnosis, and histology.44 The postdiagnosis questionnaire was administered a median of 5.7 years (25th to 75th percentile: 2.7 to 8.8 years) after diagnosis and was similar to the baseline questionnaire.
Vital status was ascertained through December 31, 2009, using the National Death Index (NDI).45,46 Cause of death was assigned according to the International Classification of Diseases (ICD).47,48 We conducted separate analyses considering deaths attributable to breast cancer (ICD-9: 174 to 174.9; ICD-10: C50.0 to C50.9), cardiovascular disease (ICD-9: 390 to 398.9 and 401 to 448.9; ICD-10: I00 to I99), and any cause.
Survival time was calculated from the date of diagnosis to death or the end of follow-up (December 31, 2009). We assessed the frequency and type of alcohol consumption in the year before diagnosis and in the year before the postdiagnostic questionnaire. We considered the dose response for alcohol consumption in categories of drinks per week and, separately, by including linear and quadratic terms for drinks per week. Proportional hazards regression was used to estimate adjusted hazard ratios (HR) and 95% CIs for associations with survival across categories of alcohol consumption.49 All regression models stratified the baseline hazard on study phase, age at diagnosis, state of residence, and stage at diagnosis. For analyses involving prediagnostic alcohol consumption, several correlates measured during the baseline questionnaire were identified a priori as adjustment variables and categorized as in Table 1: first-degree family history of breast cancer, age at first birth, menopausal status, postmenopausal hormone use, recent body mass index (BMI, in kilograms per square meter), smoking status, education, and mammography screening 1 to 5 years before diagnosis. Models also included the duration of the interval between diagnosis and completion of baseline interview. Women were classified as postmenopausal if they (1) experienced a natural menopause, (2) had a hysterectomy with bilateral oophorectomy, (3) were aged ≥ 55 without bilateral oophorectomy, or (4) were using hormone therapy without bilateral oophorectomy.
|
Characteristic | Prediagnostic Alcohol Consumption (drinks/wk)* (N = 22,890) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
0 (n = 4,396) | ≤ 2 (n = 11,497) | 3-6 (n = 3,583) | 7-9 (n = 1,647) | ≥ 10 (n = 1,767) | ||||||
No. | % | No. | % | No. | % | No. | % | No. | % | |
Age, years | ||||||||||
< 50 | 695 | 16 | 3,039 | 26 | 990 | 28 | 323 | 20 | 357 | 20 |
50-59 | 1,114 | 25 | 3,473 | 30 | 1,104 | 31 | 491 | 30 | 556 | 31 |
60-69 | 1,712 | 39 | 3,666 | 32 | 1,154 | 32 | 614 | 37 | 637 | 36 |
70-79 | 875 | 20 | 1,319 | 11 | 335 | 9 | 219 | 13 | 217 | 12 |
State of residence | ||||||||||
MA | 1,075 | 24 | 2,578 | 22 | 782 | 22 | 454 | 28 | 450 | 25 |
NH | 435 | 10 | 737 | 6 | 215 | 6 | 182 | 11 | 172 | 10 |
WI | 2,886 | 66 | 8,182 | 71 | 2,586 | 72 | 1011 | 61 | 1,145 | 65 |
First-degree family history of breast cancer | ||||||||||
No | 3,373 | 77 | 9,019 | 78 | 2,800 | 78 | 1,266 | 77 | 1,317 | 78 |
Yes | 909 | 21 | 2,278 | 20 | 729 | 20 | 350 | 21 | 360 | 20 |
Unknown | 114 | 3 | 200 | 2 | 54 | 2 | 31 | 2 | 36 | 2 |
Age at first birth, years | ||||||||||
< 20 | 745 | 17 | 1,544 | 13 | 445 | 12 | 144 | 9 | 227 | 13 |
20-24 | 1,718 | 39 | 4,607 | 40 | 1,406 | 39 | 676 | 41 | 655 | 37 |
25-29 | 881 | 20 | 2,678 | 23 | 836 | 23 | 383 | 23 | 397 | 22 |
≥ 30 | 404 | 9 | 1,234 | 12 | 380 | 11 | 166 | 10 | 164 | 9 |
Nulliparous | 620 | 14 | 1,389 | 12 | 505 | 14 | 267 | 16 | 317 | 18 |
Unknown | 28 | 1 | 45 | 0 | 11 | 0 | 11 | 1 | 7 | 0 |
Menopausal status | ||||||||||
Premenopausal | 787 | 18 | 3,295 | 29 | 1,078 | 30 | 365 | 22 | 429 | 24 |
Postmenopausal | 3,419 | 78 | 7,554 | 66 | 2,297 | 64 | 1,198 | 78 | 1258 | 71 |
Unknown | 190 | 4 | 648 | 6 | 208 | 6 | 84 | 5 | 80 | 5 |
Postmenopausal hormone use† | ||||||||||
Never | 2,099 | 61 | 3,976 | 53 | 1,136 | 49 | 620 | 52 | 693 | 55 |
Former | 319 | 9 | 802 | 11 | 268 | 12 | 121 | 10 | 117 | 9 |
Current‡ | 591 | 17 | 1,928 | 26 | 656 | 29 | 333 | 28 | 311 | 25 |
Unknown | 410 | 12 | 848 | 11 | 237 | 10 | 124 | 10 | 137 | 11 |
Body mass index, kg/m2 | ||||||||||
< 18.5 | 77 | 2 | 177 | 2 | 56 | 2 | 41 | 2 | 48 | 3 |
18.5-24.9 | 1,646 | 37 | 5,128 | 45 | 2,026 | 57 | 975 | 59 | 977 | 55 |
25.0-29.9 | 1,376 | 31 | 3,628 | 32 | 1,022 | 29 | 448 | 27 | 520 | 29 |
≥ 30 | 1,205 | 27 | 2,458 | 21 | 452 | 13 | 174 | 11 | 204 | 12 |
Unknown | 92 | 2 | 106 | 1 | 27 | 1 | 9 | 1 | 18 | 1 |
Smoking status | ||||||||||
Never | 2,559 | 58 | 6,308 | 55 | 1,499 | 42 | 551 | 33 | 422 | 24 |
Former | 1,120 | 25 | 3,215 | 28 | 1,307 | 36 | 678 | 41 | 680 | 38 |
Current‡ | 706 | 16 | 1,945 | 17 | 770 | 21 | 413 | 25 | 658 | 37 |
Unknown | 11 | 0 | 29 | 0 | 7 | 0 | 5 | 0 | 7 | 0 |
Education | ||||||||||
Less than high school diploma | 795 | 18 | 1,171 | 10 | 274 | 8 | 114 | 7 | 170 | 10 |
High school diploma | 1,939 | 44 | 4,903 | 43 | 1,401 | 39 | 645 | 39 | 749 | 42 |
Some college | 923 | 21 | 2,837 | 25 | 905 | 25 | 432 | 26 | 417 | 24 |
College degree | 716 | 16 | 2,552 | 22 | 996 | 28 | 453 | 28 | 421 | 24 |
Unknown | 23 | 1 | 34 | 0 | 7 | 0 | 3 | 0 | 10 | 1 |
Mammography | ||||||||||
Never | 966 | 22 | 2,216 | 19 | 669 | 19 | 278 | 17 | 322 | 19 |
Ever | 2,777 | 63 | 7781 | 68 | 2,468 | 69 | 1,137 | 69 | 1,145 | 65 |
Unknown | 653 | 15 | 1,500 | 13 | 446 | 12 | 232 | 14 | 290 | 16 |
Stage of disease | ||||||||||
Localized | 2,621 | 60 | 7,061 | 61 | 2,217 | 62 | 1,054 | 64 | 1,099 | 62 |
Regional | 1,290 | 29 | 3,422 | 30 | 1,035 | 29 | 425 | 26 | 484 | 27 |
Distant | 126 | 3 | 212 | 2 | 60 | 2 | 32 | 2 | 36 | 2 |
Unknown | 359 | 8 | 802 | 7 | 271 | 8 | 136 | 8 | 148 | 8 |
*Alcohol consumption as reported on baseline questionnaire.
†Premenopausal women are not included.
‡Current as of year before diagnosis.
For analyses involving postdiagnostic alcohol consumption, follow-up time was calculated from the date of return of the CWLS questionnaire until the date of death or December 31, 2009. Models included the same variables as in prediagnostic analyses. In addition to prediagnostic BMI, we adjusted for the change between pre- and postdiagnosis BMI (five categories of loss/gain) and for prediagnostic alcohol consumption.
We performed several secondary analyses. For both pre- and postdiagnostic alcohol intake, we considered separate models according to breast cancer histology (ductal or lobular) and menopausal status at diagnosis. To evaluate the possibility that severity of illness affected alcohol intake, we conducted analyses excluding women who died within 2 years of completing the postdiagnosis survey (n = 95), those who did not report a mammogram or physician breast exam any time after their diagnosis (n = 153), and those who reported being in poor health (n = 44). We also calculated HRs for postdiagnostic intake that were not adjusted for prediagnostic consumption and not stratified by stage. Finally, we considered associations according to changes in consumption before and after diagnosis. All P values are two-sided, with P ≤ .05 considered statistically significant without consideration of multiple comparisons. Analyses were performed using SAS version 9.2 (SAS Institute, Cary, NC).
The median duration of follow-up after diagnosis was 11.3 years. During this time, 7,780 deaths occurred, including 3,484 resulting from breast cancer, 1,531 resulting from cardiovascular disease, and 2,765 resulting from other causes. Of the 22,890 women who completed the baseline questionnaire, 4,396 (19%) reported never drinking, 11,497 (50%) consumed one to two drinks/wk, 3,583 (16%) consumed three to six drinks/wk, 1,647(7%) consumed seven to nine drinks/wk, and 1,767(8%) consumed ≥ 10 drinks/wk. Compared with those who abstained from alcohol before diagnosis, drinkers were younger, of lower BMI, higher education, and were more likely to have smoked and used hormones (Table 1).
Associations between increasing prediagnostic alcohol consumption and disease-specific survival were not linear. Relative to nondrinkers, improved survival was observed for moderate prediagnostic consumption (three to six drinks/wk), and no association was observed for heavy consumption (≥ 10 drinks/wk; Table 2). These estimates were similar to minimally adjusted HRs (not shown) indicating minimal confounding by measured covariates. To further explore the dose-response pattern for alcohol consumption and mortality, we included quadratic terms to account for a U-shaped relation. When we did so, with 28 drinks/wk as the maximum allowable value, this quadratic term was statistically significantly associated with breast cancer-specific survival (P = .03). In general, our results were similar according to breast cancer histology (Appendix Table A1, online only).
|
Prediagnostic Alcohol Consumption (drinks/wk) | At Risk | Cause of Death | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Breast Cancer | Cardiovascular Disease | Any Cause | |||||||||
No. | % | No. of Deaths | HR | 95% CI | No. of Deaths | HR | 95% CI | No. of Deaths | HR | 95% CI | |
Total | |||||||||||
0 | 4,396 | 19 | 726 | 1 | Reference | 454 | 1 | Reference | 1,851 | 1 | Reference |
1-2 | 11,497 | 50 | 1,769 | 0.93 | 0.85 to 1.02 | 622 | 0.70 | 0.61 to 0.79 | 3,609 | 0.84 | 0.80 to 0.90 |
3-6 | 3,583 | 16 | 487 | 0.85 | 0.75 to 0.95 | 201 | 0.75 | 0.63 to 0.90 | 1,052 | 0.80 | 0.74 to 0.86 |
7-9 | 1,647 | 7 | 228 | 0.88 | 0.75 to 1.02 | 107 | 0.73 | 0.58 to 0.91 | 559 | 0.85 | 0.77 to 0.93 |
≥ 10 | 1,767 | 8 | 274 | 0.89 | 0.77 to 1.04 | 147 | 0.98 | 0.80 to 1.20 | 709 | 0.96 | 0.88 to 1.05 |
Wine | |||||||||||
0 | 8,914 | 39 | 1,474 | 1 | Reference | 816 | 1 | Reference | 3,655 | 1 | Reference |
1-2 | 11,469 | 50 | 1,692 | 0.98 | 0.91 to 1.06 | 607 | 0.77 | 0.68 to 0.86 | 3,466 | 0.88 | 0.84 to 0.93 |
3-6 | 1,521 | 7 | 176 | 0.85 | 0.72 to 1.01 | 55 | 0.65 | 0.49 to 0.86 | 348 | 0.75 | 0.67 to 0.84 |
≥ 7 | 986 | 4 | 142 | 1.11 | 0.93 to 1.34 | 53 | 0.81 | 0.61 to 1.08 | 311 | 0.97 | 0.85 to 1.09 |
Beer | |||||||||||
0 | 13,065 | 57 | 2,076 | 1 | Reference | 1,003 | 1 | Reference | 4,900 | 1 | Reference |
1-2 | 7,811 | 34 | 1,092 | 0.94 | 0.87 to 1.02 | 378 | 0.98 | 0.86 to 1.12 | 2,150 | 0.92 | 0.87 to 0.97 |
3-6 | 1,137 | 5 | 163 | 0.90 | 0.76 to 1.06 | 82 | 1.30 | 1.02 to 1.65 | 363 | 0.99 | 0.89 to 1.11 |
≥ 7 | 877 | 4 | 153 | 0.96 | 0.81 to 1.14 | 68 | 1.35 | 1.04 to 1.75 | 367 | 1.13 | 1.01 to 1.26 |
Spirits | |||||||||||
0 | 8,702 | 38 | 1,358 | 1 | Reference | 668 | 1 | Reference | 3,156 | 1 | Reference |
1-2 | 11,583 | 51 | 1,740 | 0.92 | 0.85 to 1.00 | 629 | 0.87 | 0.77 to 0.99 | 3,578 | 0.91 | 0.87 to 0.96 |
3-6 | 1,364 | 6 | 207 | 0.91 | 0.78 to 1.06 | 94 | 0.81 | 0.64 to 1.02 | 478 | 0.88 | 0.80 to 0.97 |
≥ 7 | 1,241 | 5 | 179 | 0.86 | 0.73 to 1.02 | 140 | 1.24 | 1.02 to 1.52 | 568 | 1.05 | 0.95 to 1.15 |
NOTE. HR adjusted for age at diagnosis, stage of disease at diagnosis, state of residence at diagnosis, study phase, family history of breast cancer, age at first birth, menopausal status, hormone therapy use, body mass index, smoking status, education, and mammography.
Abbreviation: HR, hazard ratio.
HRs for the association between alcohol consumption and cardiovascular disease survival also suggested a U-shaped pattern with increasing alcohol consumption. A quadratic term for alcohol intake was associated with cardiovascular disease (P = .01) and all-cause mortality (P = .001). Trends for disease-specific and overall survival did not vary much by beverage type. Consumption of wine was associated with increased cardiovascular disease survival, whereas beer and spirit intake appeared to be associated with decreased cardiovascular disease survival, but these estimates are based on limited sample sizes and should be interpreted with caution.
In total, 1,140 women (23%) reported never drinking alcohol after their breast cancer diagnosis, 2,232 (46%) consumed one to two drinks/wk, 790 (1%) consumed three to six drinks/wk, 305 (%) consumed seven to nine drinks/wk, and 414 (9%) consumed ≥ 10 drinks/wk (Table 3). Compared with those who abstained from alcohol after diagnosis, drinkers were younger at diagnosis, more educated, and more likely to have had a mammogram before study enrollment (Appendix Table A2, online only). As was the case for prediagnostic alcohol consumption, heavy drinkers were more likely to smoke. Postdiagnostic drinkers were also more likely to have gained weight after diagnosis compared with postdiagnostic nondrinkers.
|
Postdiagnostic Alcohol Consumption (drinks/wk) | At Risk | Cause of Death | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Breast Cancer | Cardiovascular Disease | Any Cause | |||||||||
No. | % | No. of Deaths | HR | 95% CI | No. of Deaths | HR | 95% CI | No. of Deaths | HR | 95% CI | |
Total | |||||||||||
0 | 1,140 | 23 | 69 | 1 | Reference | 97 | 1 | Reference | 326 | 1 | Reference |
1-2 | 2,232 | 46 | 122 | 0.88 | 0.61 to 1.27 | 125 | 1.00 | 0.72 to 1.40 | 467 | 0.89 | 0.75 to 1.06 |
3-6 | 790 | 16 | 39 | 0.80 | 0.49 to 1.32 | 28 | 0.61 | 0.37 to 1.03 | 141 | 0.77 | 0.60 to 0.98 |
7-9 | 305 | 6 | 21 | 1.01 | 0.55 to 1.87 | 11 | 0.50 | 0.24 to 1.03 | 57 | 0.63 | 0.45 to 0.88 |
≥ 10 | 414 | 9 | 25 | 0.83 | 0.45 to 1.54 | 15 | 0.47 | 0.24 to 0.91 | 78 | 0.64 | 0.47 to 0.88 |
Wine | |||||||||||
0 | 1,614 | 33 | 100 | 1 | Reference | 125 | 1 | Reference | 452 | 1 | Reference |
1-2 | 2,451 | 50 | 128 | 1.00 | 0.70 to 1.42 | 118 | 1.07 | 0.77 to 1.49 | 483 | 0.90 | 0.76 to 1.07 |
3-6 | 534 | 11 | 27 | 1.00 | 0.58 to 1.72 | 23 | 1.22 | 0.67 to 2.20 | 84 | 0.76 | 0.57 to 1.03 |
≥ 7 | 282 | 6 | 21 | 1.45 | 0.77 to 2.73 | 10 | 0.81 | 0.36 to 1.82 | 50 | 0.73 | 0.51 to 1.05 |
Beer | |||||||||||
0 | 2,830 | 58 | 157 | 1 | Reference | 195 | 1 | Reference | 696 | 1 | Reference |
1-2 | 1,731 | 36 | 102 | 1.26 | 0.88 to 1.79 | 74 | 0.85 | 0.58 to 1.24 | 322 | 1.02 | 0.85 to 1.23 |
3-6 | 215 | 4 | 10 | 1.04 | 0.49 to 2.22 | 5 | 0.68 | 0.25 to 1.82 | 32 | 1.04 | 0.69 to 1.57 |
≥ 7 | 105 | 2 | 7 | 0.94 | 0.37 to 2.39 | 2 | 0.44 | 0.10 to 2.06 | 19 | 0.91 | 0.53 to 1.57 |
Spirits | |||||||||||
0 | 2,406 | 49 | 146 | 1 | Reference | 168 | 1 | Reference | 604 | 1 | Reference |
1-2 | 1,826 | 37 | 94 | 0.74 | 0.53 to 1.03 | 78 | 0.78 | 0.54 to 1.11 | 327 | 0.84 | 0.70 to 1.00 |
3-6 | 394 | 8 | 20 | 0.78 | 0.45 to 1.36 | 17 | 0.65 | 0.35 to 1.21 | 79 | 0.86 | 0.65 to 1.14 |
≥ 7 | 255 | 5 | 16 | 0.83 | 0.43 to 1.62 | 13 | 0.51 | 0.25 to 1.05 | 59 | 0.69 | 0.49 to 0.98 |
NOTE. HR adjusted for prediagnostic alcohol consumption, age at diagnosis, stage of disease at diagnosis, state of residence at diagnosis, study phase, family history of breast cancer, age at first birth, menopausal status, hormone therapy use, body mass index, weight change, smoking status, education, and mammography.
Abbreviation: HR, hazard ratio.
Disease-specific survival was similar in women who drank alcohol after diagnosis as compared with nondrinkers (Table 3). There was no association for a nonlinear term for weekly alcohol intake and breast cancer mortality (P = .78). No beverage-specific associations were observed. Trends in postdiagnostic consumption by histology were not considered because very few women with lobular disease were included in the survival cohort.
Women who consumed higher levels of alcohol after diagnosis were less likely than nondrinkers to die from cardiovascular disease. There was a similar association between increasing alcohol consumption and more favorable overall survival. The quadratic terms for cardiovascular disease-specific (P = .07) and all-cause mortality (P = .04) suggested that the relation with alcohol intake was nonlinear.
There remained no association between postdiagnostic alcohol consumption in models that did not adjust for prediagnostic alcohol intake and stage at diagnosis (data not shown). Results were essentially unchanged after excluding women who died within 2 years of completing the survey, did not report having a mammogram or physician breast exam after their diagnosis, or reported they were in poor health at the time of the questionnaire.
Among women who reported both pre- and postdiagnostic alcohol consumption, the average weekly alcohol intake was not substantially different before and after diagnosis (mean drinks/wk: 3.4, standard deviation [SD] 5.6, prediagnostic; mean drinks/wk 3.2, SD 5.8, postdiagnostic). At the extremes, 19% of prediagnostic regular (three or more drinks/wk) drinkers became nondrinkers after diagnosis, whereas 20% of prediagnostic nondrinkers reported regular (three or more drinks/wk) alcohol consumption after diagnosis. Compared with women who never consumed alcohol (before or after diagnosis), women who reported drinking more frequently after their breast cancer diagnosis were less likely to die from cardiovascular disease, although there was no association with breast cancer–specific survival (Table 4).
|
Change in Alcohol Consumption Before and After Diagnosis | At Risk | Cause of Death | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Breast Cancer | Cardiovascular Disease | Any Cause | |||||||||
No. | % | No. of Deaths | HR | 95% CI | No. of Deaths | HR | 95% CI | No. of Deaths | HR | 95% CI | |
Total | |||||||||||
Never drinker* | 631 | 13 | 31 | 1 | Reference | 58 | 1 | Reference | 167 | 1 | Reference |
< 1 drink/wk change | 2,096 | 43 | 110 | 0.96 | 0.63 to 1.46 | 101 | 0.64 | 0.45 to 0.90 | 418 | 0.86 | 0.71 to 1.03 |
≥ 1 drink/wk decrease | 1,241 | 25 | 82 | 1.33 | 0.87 to 2.05 | 95 | 0.87 | 0.61 to 1.23 | 336 | 1.03 | 0.85 to 1.25 |
≥ 1 drink/wk increase | 913 | 18 | 53 | 1.13 | 0.70 to 1.80 | 22 | 0.39 | 0.22 to 0.66 | 148 | 0.76 | 0.60 to 0.97 |
HR per 1 drink/wk change | 0.99 | 0.97 to 1.01 | 0.96 | 0.93 to 0.98 | 0.98 | 0.97 to 0.99 |
NOTE. HR adjusted for age at diagnosis, stage of disease at diagnosis, state of residence at diagnosis, study phase, family history of breast cancer, age at first birth, menopausal status, hormone therapy use, body mass index, weight change, smoking status, education, and mammography.
Abbreviation: HR, hazard ratio.
*Zero drinks/week reported on both the prediagnostic and postdiagnostic questionnaire.
In this large population-based cohort of women with breast cancer, we found there was no linear association between prediagnostic alcohol consumption and disease-specific survival, but did find an inverse association for moderate levels of intake using a quadratic model. We evaluated whether postdiagnostic alcohol consumption was associated with survival in a subgroup of this population, independent of prediagnostic consumption, and found no relation with disease-specific survival. We also observed that cardiovascular disease survival and overall survival were improved in women who consumed moderate levels of alcohol prediagnostically or postdiagnostically, consistent with prior literature.32,34,50,51 Furthermore, women who increased their level of alcohol consumption after breast cancer diagnosis had better survival from cardiovascular disease and other causes.
Population-based estimates suggest that approximately 65% of US women consume alcohol.52 Although women may alter their habits after breast cancer diagnosis,53 our results do not support a meaningful effect of changing consumption patterns on breast cancer survival. Alcohol consumption is believed to influence breast cancer risk through increases in endogenous estrogens in both pre- and postmenopausal women.54–56 Limiting estrogen exposure is important in controlling breast cancer progression,57 given evidence that oophorectomy in premenopausal women,58 antiestrogens,59 and aromatase inhibitors60 are effective treatments for breast cancer. Reductions in alcohol intake might, therefore, be plausibly expected to improve breast cancer survival through similar mechanisms. Such parallel relationships with incidence and survival, though, have not always been observed for breast cancer. For example, some exposures known to increase risk of disease, such as hormone therapy or late age at first birth, do not appear to be positively associated with mortality in women with breast cancer.18,61–64 If alcohol use is an important promoting factor, then terminating alcohol use shortly after diagnosis might result in tumors that would be particularly responsive to treatment. We did not, however, observe differences in breast cancer–specific survival in women who continued alcohol intake postdiagnosis.
There is limited evidence relating postdiagnostic alcohol intake to clinical outcomes in women with breast cancer. Kwan et al17 observed that disease-specific mortality (n = 154 deaths) was increased in women consuming ≥ 6 versus 0 g/d at 2 years postdiagnosis (HR, 1.51; 95% CI, 1.00 to 2.29). Li et al65 reported on a population-based case-control study of contralateral breast cancer where a statistically significant doubling of risk of second primary breast cancer was observed in women consuming seven or more drinks per week. Unlike our study, this design may also reflect the positive effect of alcohol on breast cancer incidence.5–11 In contrast to Li et al,65 the Women's Healthy Eating and Living study found the occurrence of new breast cancer events (n = 518) in breast cancer survivors did not differ according to baseline alcohol consumption (≥ 10 g/month v < 10 g/month) after a mean follow-up of 7.3 years.27
Cardiovascular disease is increasingly recognized as an important contributor to mortality among breast cancer survivors.66–68 Deaths owing to cardiovascular causes may be related to the cardiotoxic and metabolic effects of some breast cancer treatments.69 Our findings suggest that alcohol consumption, before and after breast cancer diagnosis, is associated with a reduced risk of death from cardiovascular disease. These results are reassuringly concordant with the previously described role for moderate levels of alcohol consumption in improved cardiovascular survival, regardless of breast cancer status.32,34,50,51
Strengths of this study include its large sample size, long follow-up, and detailed information on both pre- and postdiagnosis alcohol intake. We used standardized and reliable instruments for exposures, including alcohol consumption.70–75 Our measurement of prediagnostic alcohol intake was based on recalled alcohol consumption habits from approximately 2 years before interview. We believe this retrospective interval yielded valid results, as our previous findings on alcohol and breast cancer risk in this study population76 were consistent with the results from prospective cohort studies.5,8 We did not observe major changes in alcohol drinking habits after breast cancer diagnosis. Reassuringly, in another recent study of alcohol and breast cancer mortality, 92% of the subset of women with postdiagnosis alcohol intake reported the same level or adjacent category of intake as those that reported before diagnosis.14 Our confidence in these study results is enhanced by the incorporation of information on risk factors for breast cancer mortality, the minimal confounding by measured covariates, and the fact that our survival cohort reflects the spectrum of breast cancer as it occurs in the population.
Some limitations should be considered when interpreting our results. Hormone receptor status of tumors was not available. Estrogen receptor–positive tumors are the most common phenotype of breast cancer and may be associated with alcohol consumption.22,77,78 However, our inability to control for receptor positivity is unlikely to lead to an overestimation of the association between alcohol use and survival. That is, if alcohol use is related to survival only among those with hormone receptor–positive tumors, the heterogeneity of tumor types in our sample probably leads to conservatively biased estimates for alcohol consumption and survival. Because hormone receptor positivity increases with increasing age at diagnosis,79 and our sample was primarily postmenopausal, we suspect that most women's tumors would have been hormone receptor positive. We did not have information on breast cancer recurrence or the occurrence of second primaries, such as ovarian cancers, which may be associated with alcohol consumption,80 to support analyses of other end points.
Mammography is particularly important when considering survival. In our population, alcohol users were slightly more likely to have ever had a mammogram (68% of drinkers v 63% of nondrinkers). Because screening history was self-reported by each woman, residual confounding is possible. It is also conceivable that breast density confounded the association between alcohol consumption and breast cancer survival. Breast density is generally, but not always, positively associated with markers of poorer prognosis,81–83 and women who drink are more likely to have greater breast density than those who do not.84 Additionally, it remains unclear whether the effects of alcohol on breast cancer development and progression depend on other dietary factors, such as folate status,85 which were not available for our analyses.
One practical concern of our postdiagnosis data is that our results may only be applicable to women who survive several years after diagnosis. Not all women with prediagnostic information were participants in our evaluation of postdiagnostic alcohol consumption. In general, women who participated in our postdiagnostic study were similar to nonresponders with respect to age, stage at diagnosis, reproductive history, and prediagnostic alcohol consumption, although there were differences in prediagnosis BMI and smoking status.38 We previously found positive associations of increased alcohol intake with greater risk of developing breast cancer in our case-control analysis, consistent with previous prospective and retrospective studies,40,76 indicating that losses owing to death or other causes at the time of initial enrollment did not distort our evaluation.5–11 In a sensitivity analysis, we compared the results for prediagnostic alcohol consumption with the more limited CWLS and the total cohort in Table 2. Overall, the HRs were reassuringly similar (data not shown). Our observation of better overall survival for alcohol users compared with nonusers further demonstrates that any losses over follow-up may not introduce substantial bias. Finally, it is important to note that the reported level of consumption from a single follow-up questionnaire may not be fully representative of alcohol use across the entire postdiagnosis period.
In summary, this research suggests a U-shaped association between alcohol intake before breast cancer diagnosis and modestly better breast cancer survival. We did not observe this relationship with postdiagnostic alcohol consumption. This study also provides additional support for a beneficial role for moderate alcohol intake with respect to cardiovascular-specific and overall survival in women with breast cancer.
See accompanying editorial on page 1917
Supported by grants from the National Cancer Institute (Grant Nos. R01CA47147, R01CA67264, R01CA47305, R01CA69664, R01CA82004, K05CA152714, P30CA014520, and P30CA015704) and Komen for the Cure (Grant No. POP0504234).
Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.
The author(s) indicated no potential conflicts of interest.
Conception and design: Polly A. Newcomb, Walter C. Willett
Collection and assembly of data: Polly A. Newcomb, Amy Trentham-Dietz, Kathleen M. Egan, Linda J. Titus, John A. Baron
Data analysis and interpretation: Polly A. Newcomb, Ellen Kampman, Amy Trentham-Dietz, Kathleen M. Egan, Linda J. Titus, John A. Baron, John M. Hampton, Michael N. Passarelli, Walter C. Willett
Manuscript writing: All authors
Final approval of manuscript: All authors
1. | W Demark-Wahnefried, NM Aziz, JH Rowland , etal : Riding the crest of the teachable moment: Promoting long-term health after the diagnosis of cancer J Clin Oncol 23: 5814– 5830,2005 Link, Google Scholar |
2. | N Humpel, C Magee, SC Jones : The impact of a cancer diagnosis on the health behaviors of cancer survivors and their family and friends Support Care Cancer 15: 621– 630,2007 Crossref, Medline, Google Scholar |
3. | NA Hawkins, T Smith, L Zhao , etal : Health-related behavior change after cancer: Results of the American Cancer Society's studies of cancer survivors (SCS) J Cancer Surviv 4: 20– 32,2010 Crossref, Medline, Google Scholar |
4. | LS Velentzis, MR Keshtgar, JV Woodside , etal : Significant changes in dietary intake and supplement use after breast cancer diagnosis in a UK multicentre study Breast Cancer Res Treat 128: 473– 482,2011 Crossref, Medline, Google Scholar |
5. | SA Smith-Warner, D Spiegelman, SS Yaun , etal : Alcohol and breast cancer in women: A pooled analysis of cohort studies JAMA 279: 535– 540,1998 Crossref, Medline, Google Scholar |
6. | Food, Nutrition, Physical Activity, and the Prevention of Cancer: A Global Perspective 2007 World Cancer Research Fund and American Institute for Cancer Research Washington, DC AICR Google Scholar |
7. | LH Kushi, T Byers, C Doyle , etal : American Cancer Society guidelines on nutrition and physical activity for cancer prevention: Reducing the risk of cancer with healthy food choices and physical activity CA Cancer J Clin 56: 254– 281,2006 Crossref, Medline, Google Scholar |
8. | N Hamajima, K Hirose, K Tajima , etal : Alcohol, tobacco and breast cancer: Collaborative reanalysis of individual data from 53 epidemiological studies, including 58,515 women with breast cancer and 95,067 women without the disease Br J Cancer 87: 1234– 1245,2002 Crossref, Medline, Google Scholar |
9. | J Key, S Hodgson, RZ Omar , etal : Meta-analysis of studies of alcohol and breast cancer with consideration of the methodological issues Cancer Causes Control 17: 759– 770,2006 Crossref, Medline, Google Scholar |
10. | J Kotsopoulos, WY Chen, MA Gates , etal : Risk factors for ductal and lobular breast cancer: Results from the Nurses' Health Study Breast Cancer Res 12: R106,2010 Crossref, Medline, Google Scholar |
11. | NE Allen, V Beral, D Casabonne , etal : Moderate alcohol intake and cancer incidence in women J Natl Cancer Inst 101: 296– 305,2009 Crossref, Medline, Google Scholar |
12. | TE Rohan, JE Hiller, AJ McMichael : Dietary factors and survival from breast cancer Nutr Cancer 20: 167– 177,1993 Crossref, Medline, Google Scholar |
13. | PJ Goodwin, M Ennis, KI Pritchard , etal : Diet and breast cancer: Evidence that extremes in diet are associated with poor survival J Clin Oncol 21: 2500– 2507,2003 Link, Google Scholar |
14. | HR Harris, L Bergkvist, A Wolk : Alcohol intake and mortality among women with invasive breast cancer Br J Cancer 106: 592– 595,2012 Crossref, Medline, Google Scholar |
15. | JR Hebert, TG Hurley, Y Ma : The effect of dietary exposures on recurrence and mortality in early stage breast cancer Breast Cancer Res Treat 51: 17– 28,1998 Crossref, Medline, Google Scholar |
16. | PA McDonald, R Williams, F Dawkins , etal : Breast cancer survival in African American women: Is alcohol consumption a prognostic indicator? Cancer Causes Control 13: 543– 549,2002 Crossref, Medline, Google Scholar |
17. | ML Kwan, LH Kushi, E Weltzien , etal : Alcohol consumption and breast cancer recurrence and survival among women with early-stage breast cancer: The life after cancer epidemiology study J Clin Oncol 28: 4410– 4416,2010 Link, Google Scholar |
18. | M Ewertz, S Gillanders, L Meyer , etal : Survival of breast cancer patients in relation to factors which affect the risk of developing breast cancer Int J Cancer 49: 526– 530,1991 Crossref, Medline, Google Scholar |
19. | LE Holm, E Nordevang, ML Hjalmar , etal : Treatment failure and dietary habits in women with breast cancer J Natl Cancer Inst 85: 32– 36,1993 Crossref, Medline, Google Scholar |
20. | D Ingram : Diet and subsequent survival in women with breast cancer Br J Cancer 69: 592– 595,1994 Crossref, Medline, Google Scholar |
21. | S Zhang, AR Folsom, TA Sellers , etal : Better breast cancer survival for postmenopausal women who are less overweight and eat less fat: The Iowa Women's Health Study Cancer 76: 275– 283,1995 Crossref, Medline, Google Scholar |
22. | SM Zhang, IM Lee, JE Manson , etal : Alcohol consumption and breast cancer risk in the Women's Health Study Am J Epidemiol 165: 667– 676,2007 Crossref, Medline, Google Scholar |
23. | MD Holmes, MJ Stampfer, GA Colditz , etal : Dietary factors and the survival of women with breast carcinoma Cancer 86: 826– 835,1999 Crossref, Medline, Google Scholar |
24. | GA Saxe, CL Rock, MS Wicha , etal : Diet and risk for breast cancer recurrence and survival Breast Cancer Res Treat 53: 241– 253,1999 Crossref, Medline, Google Scholar |
25. | AJ McEligot, J Largent, A Ziogas , etal : Dietary fat, fiber, vegetable, and micronutrients are associated with overall survival in postmenopausal women diagnosed with breast cancer Nutr Cancer 55: 132– 140,2006 Crossref, Medline, Google Scholar |
26. | S Franceschi, L Dal Maso, A Zucchetto , etal : Alcohol consumption and survival after breast cancer Cancer Epidemiol Biomarkers Prev 18: 1011– 1012,2009 author reply 1012-1013 Crossref, Medline, Google Scholar |
27. | SW Flatt, CA Thomson, EB Gold , etal : Low to moderate alcohol intake is not associated with increased mortality after breast cancer Cancer Epidemiol Biomarkers Prev 19: 681– 688,2010 Crossref, Medline, Google Scholar |
28. | KW Reding, JR Daling, DR Doody , etal : Effect of prediagnostic alcohol consumption on survival after breast cancer in young women Cancer Epidemiol Biomarkers Prev 17: 1988– 1996,2008 Crossref, Medline, Google Scholar |
29. | MG Jain, RG Ferrenc, JT Rehm , etal : Alcohol and breast cancer mortality in a cohort study Breast Cancer Res Treat 64: 201– 209,2000 Crossref, Medline, Google Scholar |
30. | GC Barnett, M Shah, K Redman , etal : Risk factors for the incidence of breast cancer: Do they affect survival from the disease? J Clin Oncol 26: 3310– 3316,2008 Link, Google Scholar |
31. | JM Beasley, PA Newcomb, A Trentham-Dietz , etal : Post-diagnosis dietary factors and survival after invasive breast cancer Breast Cancer Res Treat 128: 229– 236,2011 Crossref, Medline, Google Scholar |
32. | CS Fuchs, MJ Stampfer, GA Colditz , etal : Alcohol consumption and mortality among women N Engl J Med 332: 1245– 1250,1995 Crossref, Medline, Google Scholar |
33. | MJ Thun, R Peto, AD Lopez , etal : Alcohol consumption and mortality among middle-aged and elderly U.S. adults N Engl J Med 337: 1705– 1714,1997 Crossref, Medline, Google Scholar |
34. | PE Ronksley, SE Brien, BJ Turner , etal : Association of alcohol consumption with selected cardiovascular disease outcomes: A systematic review and meta-analysis BMJ 342: d671,2011 Crossref, Medline, Google Scholar |
35. | C Parry, EE Kent, AB Mariotto , etal : Cancer survivors: A booming population Cancer Epidemiol Biomarkers Prev 20: 1996– 2005,2011 Crossref, Medline, Google Scholar |
36. | R Siegel, C DeSantis, K Virgo , etal : Cancer treatment and survivorship statistics, 2012 CA Cancer J Clin 62: 220– 241,2012 Crossref, Medline, Google Scholar |
37. | PA Newcomb, A Trentham-Dietz, JM Hampton , etal : Late age at first full term birth is strongly associated with lobular breast cancer Cancer 117: 1946– 1956,2011 Crossref, Medline, Google Scholar |
38. | HB Nichols, A Trentham-Dietz, KM Egan , etal : Body mass index before and after breast cancer diagnosis: Associations with all-cause, breast cancer, and cardiovascular disease mortality Cancer Epidemiol Biomarkers Prev 18: 1403– 1409,2009 Crossref, Medline, Google Scholar |
39. | CN Holick, PA Newcomb, A Trentham-Dietz , etal : Physical activity and survival after diagnosis of invasive breast cancer Cancer Epidemiol Biomarkers Prev 17: 379– 386,2008 Crossref, Medline, Google Scholar |
40. | PA Newcomb, HB Nichols, JM Beasley , etal : No difference between red wine or white wine consumption and breast cancer risk Cancer Epidemiol Biomarkers Prev 18: 1007– 1010,2009 Crossref, Medline, Google Scholar |
41. | PA Newcomb, A Trentham-Dietz, JM Hampton : Bisphosphonates for osteoporosis treatment are associated with reduced breast cancer risk Br J Cancer 102: 799– 802,2010 Crossref, Medline, Google Scholar |
42. | PA Newcomb, BE Storer, MP Longnecker , etal : Lactation and a reduced risk of premenopausal breast cancer N Engl J Med 330: 81– 87,1994 Crossref, Medline, Google Scholar |
43. | Rethinking Drinking Alcohol and Your Health: What's a “standard” drink? 2012 National Institute on Alcohol, Abuse, and Alcoholism, National Institutes of Health Bethesda, MD National Institute on Alcohol, Abuse, and Alcoholism Google Scholar |
44. | C Percy, Holten V Van, C Muir : International Classification of Diseases for Oncology (ed 2) 2000 Geneva, Switzerland World Health Organization Google Scholar |
45. | EE Calle, DD Terrell : Utility of the National Death Index for ascertainment of mortality among cancer prevention study II participants Am J Epidemiol 137: 235– 241,1993 Crossref, Medline, Google Scholar |
46. | JW Rich-Edwards, KA Corsano, MJ Stampfer : Test of the National Death Index and Equifax Nationwide Death Search Am J Epidemiol 140: 1016– 1019,1994 Crossref, Medline, Google Scholar |
47. | International Classification of Diseases (ICD-9) 1977 World Health Organization Geneva, Switzerland World Health Organization Google Scholar |
48. | International Classification of Diseases (ICD-10) 1994 World Health Organization Geneva, Switzerland World Health Organization Google Scholar |
49. | NE Breslow, NE Day : Statistical methods in cancer research: Volume II The design and analysis of cohort studies 1987 Lyon, France IARC Scientific Publications Google Scholar |
50. | DE King, AG Mainous 3rd, ME Geesey : Adopting moderate alcohol consumption in middle age: Subsequent cardiovascular events Am J Med 121: 201– 206,2008 Crossref, Medline, Google Scholar |
51. | G Behrens, MF Leitzmann, S Sandin , etal : The association between alcohol consumption and mortality: The Swedish Women's Lifestyle and Health Study Eur J Epidemiol 26: 81– 90,2011 Crossref, Medline, Google Scholar |
52. | RA Breslow, PM Guenther, W Juan , etal : Alcoholic beverage consumption, nutrient intakes, and diet quality in the US adult population, 1999-2006 J Am Diet Assoc 110: 551– 562,2010 Crossref, Medline, Google Scholar |
53. | CL Carmack, K Basen-Engquist, ER Gritz : Survivors at higher risk for adverse late outcomes due to psychosocial and behavioral risk factors Cancer Epidemiol Biomarkers Prev 20: 2068– 2077,2011 Crossref, Medline, Google Scholar |
54. | ME Reichman, JT Judd, C Longcope , etal : Effects of alcohol consumption on plasma and urinary hormone concentrations in premenopausal women J Natl Cancer Inst 85: 722– 727,1993 Crossref, Medline, Google Scholar |
55. | JF Dorgan, DJ Baer, PS Albert , etal : Serum hormones and the alcohol-breast cancer association in postmenopausal women J Natl Cancer Inst 93: 710– 715,2001 Crossref, Medline, Google Scholar |
56. | KW Singletary, SM Gapstur : Alcohol and breast cancer: Review of epidemiologic and experimental evidence and potential mechanisms JAMA 286: 2143– 2151,2001 Crossref, Medline, Google Scholar |
57. | JD Yager, NE Davidson : Estrogen carcinogenesis in breast cancer N Engl J Med 354: 270– 282,2006 Crossref, Medline, Google Scholar |
58. | HB Nichols, K Visvanathan, PA Newcomb , etal : Bilateral oophorectomy in relation to risk of postmenopausal breast cancer: Confounding by nonmalignant indications for surgery? Am J Epidemiol 173: 1111– 1120,2011 Crossref, Medline, Google Scholar |
59. | VC Jordan : Antiestrogenic action of raloxifene and tamoxifen: Today and tomorrow J Natl Cancer Inst 90: 967– 971,1998 Crossref, Medline, Google Scholar |
60. | PD Taylor, A Howell : The therapeutic potential of novel aromatase inhibitors in breast cancer Exp Opin Investig Drugs 8: 269– 279,1999 Crossref, Medline, Google Scholar |
61. | PA Newcomb, KM Egan, A Trentham-Dietz , etal : Prediagnostic use of hormone therapy and mortality after breast cancer Cancer Epidemiol Biomarkers Prev 17: 864– 871,2008 Crossref, Medline, Google Scholar |
62. | P Bonnier, S Romain, PL Giacalone , etal : Clinical and biologic prognostic factors in breast cancer diagnosed during postmenopausal hormone replacement therapy Obstet Gynecol 85: 11– 17,1995 Crossref, Medline, Google Scholar |
63. | DM Strickland, RD Gambrell Jr, CA Butzin , etal : The relationship between breast cancer survival and prior postmenopausal estrogen use Obstet Gynecol 80: 400– 404,1992 Medline, Google Scholar |
64. | H Jernström, PO Bendahl, J Lidfeldt , etal : A prospective study of different types of hormone replacement therapy use and the risk of subsequent breast cancer: The Women's Health in the Lund Area (WHILA) study (Sweden) Cancer Causes Control 14: 673– 680,2003 Crossref, Medline, Google Scholar |
65. | CI Li, JR Daling, PL Porter , etal : Relationship between potentially modifiable lifestyle factors and risk of second primary contralateral breast cancer among women diagnosed with estrogen receptor-positive invasive breast cancer J Clin Oncol 27: 5312– 5318,2009 Link, Google Scholar |
66. | MJ Hooning, A Botma, BM Aleman , etal : Long-term risk of cardiovascular disease in 10-year survivors of breast cancer J Natl Cancer Inst 99: 365– 375,2007 Crossref, Medline, Google Scholar |
67. | C Schairer, PJ Mink, L Carroll , etal : Probabilities of death from breast cancer and other causes among female breast cancer patients J Natl Cancer Inst 96: 1311– 1321,2004 Crossref, Medline, Google Scholar |
68. | W van de Water, C Markopoulos, CJ van de Velde , etal : Association between age at diagnosis and disease-specific mortality among postmenopausal women with hormone receptor-positive breast cancer JAMA 307: 590– 597,2012 Crossref, Medline, Google Scholar |
69. | JJ Doyle, AI Neugut, JS Jacobson , etal : Chemotherapy and cardiotoxicity in older breast cancer patients: A population-based study J Clin Oncol 23: 8597– 8605,2005 Link, Google Scholar |
70. | MP Longnecker, PA Newcomb, R Mittendorf , etal : The reliability of self-reported alcohol consumption in the remote past Epidemiology 3: 535– 539,1992 Crossref, Medline, Google Scholar |
71. | WC Willett, FB Hu : The food frequency questionnaire Cancer Epidemiol Biomarkers Prev 16: 182– 183,2007 Crossref, Medline, Google Scholar |
72. | WC Willett, FB Hu : Not the time to abandon the food frequency questionnaire: Point Cancer Epidemiol Biomarkers Prev 15: 1757– 1758,2006 Crossref, Medline, Google Scholar |
73. | AR Kristal, JD Potter : Not the time to abandon the food frequency questionnaire: Counterpoint Cancer Epidemiol Biomarkers Prev 15: 1759– 1760,2006 Crossref, Medline, Google Scholar |
74. | ML Neuhouser, L Tinker, PA Shaw , etal : Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative Am J Epidemiol 167: 1247– 1259,2008 Crossref, Medline, Google Scholar |
75. | RE Patterson, AR Kristal, LF Tinker , etal : Measurement characteristics of the Women's Health Initiative food frequency questionnaire Ann Epidemiol 9: 178– 187,1999 Crossref, Medline, Google Scholar |
76. | MP Longnecker, PA Newcomb, R Mittendorf , etal : Risk of breast cancer in relation to lifetime alcohol consumption J Natl Cancer Inst 87: 923– 929,1995 Crossref, Medline, Google Scholar |
77. | R Suzuki, W Ye, T Rylander-Rudqvist , etal : Alcohol and postmenopausal breast cancer risk defined by estrogen and progesterone receptor status: A prospective cohort study J Natl Cancer Inst 97: 1601– 1608,2005 Crossref, Medline, Google Scholar |
78. | GA Colditz, BA Rosner, WY Chen , etal : Risk factors for breast cancer according to estrogen and progesterone receptor status J Natl Cancer Inst 96: 218– 228,2004 Crossref, Medline, Google Scholar |
79. | CG Kardinal : Hormonal and endocrine therapy of breast cancer, in Donegan WL, Spratt JS (eds): Cancer of the Breast (ed 5) 693– 737,2002 St. Louis, MO Saunders Google Scholar |
80. | A Trentham-Dietz, PA Newcomb, HB Nichols , etal : Breast cancer risk factors and second primary malignancies among women with breast cancer Breast Cancer Res Treat 105: 195– 207,2007 Crossref, Medline, Google Scholar |
81. | EJ Aiello, DS Buist, E White , etal : Association between mammographic breast density and breast cancer tumor characteristics Cancer Epidemiol Biomarkers Prev 14: 662– 668,2005 Crossref, Medline, Google Scholar |
82. | MA Roubidoux, JE Bailey, LA Wray , etal : Invasive cancers detected after breast cancer screening yielded a negative result: Relationship of mammographic density to tumor prognostic factors Radiology 230: 42– 48,2004 Crossref, Medline, Google Scholar |
83. | GL Gierach, L Ichikawa, K Kerlikowske , etal : Relationship between mammographic density and breast cancer death in the breast cancer surveillance consortium J Natl Cancer Inst 104: 1218– 1227,2012 Crossref, Medline, Google Scholar |
84. | F Sendağ, M Coşan Terek, S Ozşener , etal : Mammographic density changes during different postmenopausal hormone replacement therapies Fertil Steril 76: 445– 450,2001 Crossref, Medline, Google Scholar |
85. | CM Duffy, A Assaf, M Cyr , etal : Alcohol and folate intake and breast cancer risk in the WHI Observational Study Breast Cancer Res Treat 116: 551– 562,2009 Crossref, Medline, Google Scholar |
Acknowledgment
We thank the study participants and staff for their generous contributions and appreciate the counsel of Matthew P. Longnecker, MD, E. Robert Greenberg, MD, Meir J. Stampfer, MD, Barry E. Storer, PhD, and Patrick L. Remington, MD, MPH at various stages of this project.
|
Prediagnostic Alcohol Consumption (drinks/wk) | Breast Cancer Death According to Histology at Diagnosis | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
At Risk | Ductal Breast Cancer | At Risk | Lobular Breast Cancer | |||||||
No. | % | No. of Deaths | HR | 95% CI | No. | % | No. of Deaths | HR | 95% CI | |
Total | ||||||||||
0 | 3,500 | 19 | 593 | 1 | Reference | 392 | 19 | 71 | 1 | Reference |
1-2 | 9,100 | 50 | 1,443 | 0.94 | 0.85 to 1.04 | 986 | 49 | 173 | 0.93 | 0.67 to 1.28 |
3-6 | 2,856 | 16 | 407 | 0.86 | 0.75 to 0.98 | 319 | 16 | 50 | 0.97 | 0.62 to 1.51 |
7-9 | 1,286 | 7 | 179 | 0.86 | 0.72 to 1.02 | 147 | 7 | 28 | 1.23 | 0.74 to 2.05 |
≥ 10 | 1,385 | 8 | 216 | 0.86 | 0.73 to 1.02 | 170 | 8 | 27 | 0.90 | 0.53 to 1.52 |
Wine | ||||||||||
0 | 7,079 | 39 | 1,197 | 1 | Reference | 800 | 38 | 150 | 1 | Reference |
1-2 | 6,104 | 50 | 1,386 | 1.00 | 0.92 to 1.10 | 977 | 49 | 166 | 1.00 | 0.75 to 1.34 |
3-6 | 877 | 5 | 145 | 0.89 | 0.74 to 1.07 | 141 | 7 | 16 | 0.79 | 0.44 to 1.43 |
≥ 7 | 700 | 4 | 110 | 1.16 | 0.94 to 1.42 | 96 | 5 | 17 | 1.34 | 0.73 to 2.48 |
Beer | ||||||||||
0 | 10,376 | 57 | 1,704 | 1 | Reference | 1,132 | 56 | 203 | 1 | Reference |
1-2 | 6,164 | 34 | 885 | 0.93 | 0.85 to 1.02 | 707 | 35 | 110 | 0.96 | 0.71 to 1.29 |
3-6 | 887 | 5 | 125 | 0.82 | 0.68 to 0.99 | 96 | 5 | 23 | 2.74 | 1.60 to 4.71 |
≥ 7 | 700 | 4 | 124 | 0.92 | 0.76 to 1.12 | 79 | 4 | 13 | 0.90 | 0.46 to 1.74 |
Spirits | ||||||||||
0 | 6,913 | 38 | 1,113 | 1 | Reference | 754 | 37 | 125 | 1 | Reference |
1-2 | 9,151 | 50 | 1,417 | 0.91 | 0.83 to 1.00 | 1,018 | 51 | 178 | 0.89 | 0.66 to 1.20 |
3-6 | 1,100 | 6 | 170 | 0.90 | 0.76 to 1.06 | 125 | 6 | 25 | 0.72 | 0.41 to 1.25 |
≥ 7 | 963 | 5 | 138 | 0.82 | 0.68 to 0.99 | 117 | 6 | 21 | 1.08 | 0.60 to 1.96 |
NOTE. HR adjusted for age at diagnosis, stage of disease at diagnosis, state of residence at diagnosis, study phase, family history of breast cancer, age at first birth, menopausal status, hormone therapy use, body mass index, smoking status, education, and mammography.
Abbreviation: HR, hazard ratio.
|
Characteristic | Postdiagnostic Alcohol Consumption (drinks/wk)* (N = 4,881) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
0 (n = 1,140) | ≤ 2 (n = 2,232) | 3-6 (n = 790) | 7-9 (n = 305) | ≥ 10 (n = 414) | ||||||
No. | % | No. | % | No. | % | No. | % | No. | % | |
At breast cancer diagnosis | ||||||||||
Age, years | ||||||||||
< | ||||||||||
- | ||||||||||
-69 | ||||||||||
-79 | 1 | |||||||||
State of residence | ||||||||||
MA | 1 | 1 | 4 | |||||||
NH | ||||||||||
WI | 1, | |||||||||
First-degree family history of breast cancer | ||||||||||
No | ,7 | |||||||||
Yes | ||||||||||
Unknown | 18 | 2 | 1 | 4 | 1 | |||||
Age at first birth, years | ||||||||||
< 20 | 1 | |||||||||
−24 | ||||||||||
−29 | 2 | |||||||||
≥ 30 | ||||||||||
Nulliparous | ||||||||||
Unknown | ||||||||||
Education | ||||||||||
Less than high school diploma | 9 | 3 | 1 | |||||||
High school diploma | 4 | 3 | 1 | 3 | ||||||
Some college | 2 | 1 | ||||||||
College degree | ||||||||||
Unknown | 2 | 1 | 0 | |||||||
Mammography | ||||||||||
Never | 1 | 10 | 14 | 1 | 5 | 12 | ||||
Ever | ,595 | |||||||||
Unknown | ||||||||||
Stage of disease | ||||||||||
Localized | 1,502 | 5 | 2 | |||||||
Regional | 268 | 24 | 564 | 25 | 182 | 23 | 78 | 26 | 96 | 23 |
Unknown | ||||||||||
At follow-up | ||||||||||
Age, years | ||||||||||
< 50 | 9 | |||||||||
-59 | 2 | 2 | 10 | 26 | ||||||
-69 | ||||||||||
≥ 70 | 9 | 3 | ||||||||
Current postmenopausal hormone use†‡ | ||||||||||
No | ,471 | |||||||||
Yes | ||||||||||
Unknown | ||||||||||
Current smoking status‡ | ||||||||||
No | ,030 | ,035 | ||||||||
Yes | ||||||||||
Unknown | 1 | 3 | 1 | |||||||
Weight change since diagnosis, kg | ||||||||||
< −.0 | 2 | 5 | ||||||||
−. to .0 | ||||||||||
.1 to 6. | ||||||||||
.1 to 10.0 | ||||||||||
≥ 10 | 154 | 14 | 309 | 14 | 97 | 12 | 26 | 9 | 42 | 10 |
Unknown | 48 | 4 | 84 | 4 | 25 | 3 | 11 | 4 | 11 | 3 |
*Alcohol consumption as reported on follow-up questionnaire.
†Premenopausal women are not included.
‡Current as of year before follow-up interview.