Journal article
Alcohol consumption and cigarette smoking in combination: A predictor of contralateral breast cancer risk in the WECARE study
International journal of cancer, Vol.141(5), pp.916-924
09/01/2017
DOI: 10.1002/ijc.30791
PMCID: PMC5518236
PMID: 28524234
Abstract
Alcohol drinking and, to a lesser extent, cigarette smoking are risk factors for a first primary breast cancer. Information on these behaviours at diagnosis may contribute to risk prediction of contralateral breast cancer (CBC) and they are potentially modifiable. The WECARE Study is a large population-based case-control study of women with breast cancer where cases (N = 1,521) had asynchronous CBC and controls (N = 2,212), matched on survival time and other factors, had unilateral breast cancer (UBC). Using multivariable conditional logistic regression to estimate rate ratios (RR) and 95% confidence intervals (CI), we examined the risk of CBC in relation to drinking and smoking history at and following first diagnosis. We adjusted for treatment, disease characteristics and other factors. There was some evidence for an association between CBC risk and current drinking or current smoking at the time of first breast cancer diagnosis, but the increased risk occurred primarily among women exposed to both (RR = 1.62, 95% CI 1.24-2.11). CBC risk was also elevated in women who both smoked and drank alcohol after diagnosis (RR = 1.54, 95% CI 1.18-1.99). In the subset of women with detailed information on amount consumed, smoking an average of ≥10 cigarettes per day following diagnosis was also associated with increased CBC risk (RR = 1.50, 95% CI 1.08-2.08; p-trend = 0.03). Among women with a diagnosis of breast cancer, information on current drinking and smoking could contribute to the prediction of CBC risk. Women who both drink and smoke may represent a group who merit targeted lifestyle intervention to modify their risk of CBC.
Details
- Title: Subtitle
- Alcohol consumption and cigarette smoking in combination: A predictor of contralateral breast cancer risk in the WECARE study
- Creators
- Julia A Knight - Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, CanadaJing Fan - Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, CanadaKathleen E Malone - Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WAEsther M John - Department of Health Research and Policy (Epidemiology) and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CACharles F Lynch - Departments of Epidemiology and Pathology, University of Iowa, Iowa City, IARikke Langballe - Virus, Lifestyle and Genes Unit, Danish Cancer Society Research Center, Copenhagen, DenmarkLeslie Bernstein - Department of Population Health Sciences, Beckman Research Institute, City of Hope National Medical Center, Duarte, CARoy E Shore - Department of Environmental Medicine, New York University, New York, NYJennifer D Brooks - Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, CanadaAnne S Reiner - Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NYMeghan Woods - Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NYXiaolin Liang - Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NYJonine L Bernstein - Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NYWECARE Study Collaborative Group
- Resource Type
- Journal article
- Publication Details
- International journal of cancer, Vol.141(5), pp.916-924
- Publisher
- United States
- DOI
- 10.1002/ijc.30791
- PMID
- 28524234
- PMCID
- PMC5518236
- ISSN
- 0020-7136
- eISSN
- 1097-0215
- Grant note
- R01 CA129639 / NCI NIH HHS R01 CA168339 / NCI NIH HHS U01 CA083178 / NCI NIH HHS R01 CA097397 / NCI NIH HHS P30 CA008748 / NCI NIH HHS P30 CA086862 / NCI NIH HHS R01 CA114236 / NCI NIH HHS
- Language
- English
- Date published
- 09/01/2017
- Academic Unit
- Epidemiology
- Record Identifier
- 9983995051302771
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