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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
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Cigarette Smoking, Physical Activity, and Alcohol Consumption as Predictors of Cancer Incidence among Women at High Risk of Breast Cancer in the NSABP P-1 Trial

Stephanie R. Land, Qing Liu, D. Lawrence Wickerham, Joseph P. Costantino and Patricia A. Ganz
Stephanie R. Land
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
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Qing Liu
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
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D. Lawrence Wickerham
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
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Joseph P. Costantino
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
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Patricia A. Ganz
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
1National Surgical Adjuvant Breast and Bowel Project (NSABP); 2Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh; 3Allegheny Cancer Center, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania; 4Division of Cancer Control and Population Sciences, Behavioral Research Program, National Cancer Institute, Bethesda, Maryland; and 5UCLA Schools of Medicine and Public Health, and Division of Cancer Prevention & Control Research, Jonsson Comprehensive Cancer Center, Los Angeles, California
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DOI: 10.1158/1055-9965.EPI-13-1105-T Published May 2014
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  • Figure 1.
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    Figure 1.

    Kaplan–Meier graph of the time to breast cancer event (A) or colon cancer (B), grouped according to smoking duration. P values are based on multivariable Cox regression analysis.

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    HRs and 95% CIs for the association of cigarette smoking history with time to invasive cancer of the breast, lung, colon, and endometrium.

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    Figure 3.

    HRs and 95% CIs for the association of physical activity with time to invasive cancer of the breast, lung, colon, and endometrium.

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    Figure 4.

    HRs and 95% CIs for the association of alcohol consumption with time to invasive cancer of the breast, lung, colon, and endometrium.

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  • Table 1.

    Participant characteristics: NSABP P-1

    PlaceboTamoxifenTotal
    N = 6,707 (50.1%)N = 6,681 (49.9%)(N = 13,388)
    CharacteristicaN (%)N (%)N (%)
    Age, y (B, L, C, E)
     <655797 (86.4)5783 (86.6)11,580 (86.5)
     ≥65910 (13.6)898 (13.4)1,808 (13.5)
    Race (B, L, C, E)
     White6,352 (94.7)6,337 (94.8)12,689 (94.8)
     Black133 (2)143 (2.1)276 (2.1)
     Hispanic94 (1.4)73 (1.1)167 (1.2)
     Other/unknown128 (1.9)128 (2)256 (1.9)
    Leisure-time physical activity (B, L, C, E)
     Moderate–heavy3,058 (45.6)3,067 (45.9)6,125 (45.7)
     Inactive–light3,626 (54.1)3,586 (53.7)7,212 (53.9)
     Unknown23 (0.3)28 (0.4)51 (0.4)
    Baseline BMI (Bb, Eb)
     Healthy (BMI < 25)2,603 (38.8)2,635 (39.4)5,238 (39.1)
     Overweight (BMI ≥25 to <30)2,233 (33.3)2,157 (32.3)4,390 (32.8)
     Obese (BMI ≥ 30)1,871 (27.9)1,889 (28.3)3,760 (28.1)
    Alcohol consumption (B, L, C, E)
     None1,421 (21.2)1,366 (20.5)2,787 (20.8)
     1 drink/day4,383 (65.3)4,439 (66.4)8,822 (65.9)
     >1 drink/day877 (13.1)847 (12.7)1,724 (12.9)
     Unknown26 (0.4)29 (0.4)55 (0.4)
    Smoking status (B, L, C, E)
     Never smoked3,707 (55.3)3,612 (54.1)7,319 (54.7)
     Current smoker827 (12.3)847 (12.7)1,674 (12.5)
     Former smoker2,150 (32.1)2,195 (32.8)4,345 (32.5)
     Unknown23 (0.3)27 (0.4)50 (0.4)
    Smoking duration (B, L, C, E)
     Never smokedc3,715 (55.4)3,620 (54.2)7,335 (54.8)
     <15 smoking years839 (12.5)825 (12.3)1,664 (12.4)
     ≥15 to <35 smoking years1,607 (24)1,707 (25.6)3,314 (24.8)
     ≥35 smoking years514 (7.7)497 (7.4)1,011 (7.6)
     Unknown32 (0.5)32 (0.5)64 (0.5)
    Smoking intensity (B, L, C, E)
     None3,707 (55.3)3,612 (54.1)7,319 (54.7)
     1 pack/day2,008 (29.9)2,069 (31)4,077 (30.5)
     >1 packs/day968 (14.4)972 (14.5)1,940 (14.5)
     Unknown24 (0.4)28 (0.4)52 (0.4)
    5-Year breast cancer risk (Bd)
     ≤2%1,682 (25.1)1,677 (25.1)3,359 (25.1)
     >2% and ≤5%3,895 (58.1)3,823 (57.2)7,718 (57.6)
     >5%1,130 (16.8)1,181 (17.7)2,311 (17.3)
    Family cancer history (number of family members who developed cancer; L, C, E)
     None759 (11.3)731 (10.9)1,490 (11.1)
     12,709 (40.4)2,717 (40.7)5,426 (40.5)
     >13,183 (47.5)3,182 (47.6)6,365 (47.5)
     Unknown56 (0.8)51 (0.8)107 (0.8)
    Menstrual period stopped (B, L, C, E)
     No2,254 (33.6)2,159 (32.8)4,449 (33.2)
     Yes4,453 (66.4)4,486 (67.2)8,939 (66.8)
    Estrogen use (B, L, C, E)
     Never used1,619 (24.1)1,542 (23.1)3,161 (23.6)
     Ever used5,088 (75.9)5,139 (76.9)10,227 (76.4)
    Age at menarche (years; E)
     7–10567 (8.5)576 (8.6)1,143 (8.5)
     11–134,868 (72.6)4,902 (73.4)9,770 (73)
     ≥141,243 (18.5)1,180 (17.7)2,423 (18.1)
     Unknown29 (0.4)23 (0.3)52 (0.4)
    Ever had diabetes (B, E)
     No6,443 (96.1)6,402 (95.8)12,845 (95.9)
     Yes264 (3.9)279 (4.2)543 (4.1)
    Past pregnancy (E)
     No1,011 (15.1)1,009 (15.1)2,020 (15.1)
     Yes5,690 (84.8)5,669 (84.9)11,359 (84.8)
     Unknown6 (0.1)3 (0)9 (0.1)
    Current regular aspirin use (C)
     No5,651 (84.3)5,610 (84.0)11,261 (84.1)
     Yes1,056 (15.7)1,071 (16.0)2,127 (15.9)
    Personal history of tuberculosis (L)
     No6,629 (98.8)6,581 (98.5)13,210 (98.7)
     Yes78 (1.2)100 (1.5)178 (1.3)
    • ↵aCharacteristic included in disease site models in parentheses: breast (B), lung (L), colon (C), and endometrial (E).

    • ↵bOverweight/obesity was included in secondary analyses for models with significant effects of physical activity. These were the models for breast and endometrial cancers.

    • ↵cIncludes former smokers who indicated 0 years of smoking history.

    • ↵dEstimated breast cancer risk is included as a continuous variable in models.

Additional Files

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    Files in this Data Supplement:

    • Supplementary Materials and Methods, Supplementary Results, and Supplementary Tables 1 and 2 - PDF - 135K, Appendix providing analyses of alternative smoking variables and interactions. Table A1. Multivariable analysis results (p-values, hazard ratios and 95% confidence intervals) for alternative smoking history variables. Table A2. Hazard ratios (with 95% confidence intervals in parentheses).
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Cancer Epidemiology Biomarkers & Prevention: 23 (5)
May 2014
Volume 23, Issue 5
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Cigarette Smoking, Physical Activity, and Alcohol Consumption as Predictors of Cancer Incidence among Women at High Risk of Breast Cancer in the NSABP P-1 Trial
Stephanie R. Land, Qing Liu, D. Lawrence Wickerham, Joseph P. Costantino and Patricia A. Ganz
Cancer Epidemiol Biomarkers Prev May 1 2014 (23) (5) 823-832; DOI: 10.1158/1055-9965.EPI-13-1105-T

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Cigarette Smoking, Physical Activity, and Alcohol Consumption as Predictors of Cancer Incidence among Women at High Risk of Breast Cancer in the NSABP P-1 Trial
Stephanie R. Land, Qing Liu, D. Lawrence Wickerham, Joseph P. Costantino and Patricia A. Ganz
Cancer Epidemiol Biomarkers Prev May 1 2014 (23) (5) 823-832; DOI: 10.1158/1055-9965.EPI-13-1105-T
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