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Body size and weight change over adulthood and risk of breast cancer by menopausal and hormone receptor status: a pooled analysis of 20 prospective cohort studies.
van den Brandt, Piet A; Ziegler, Regina G; Wang, Molin; Hou, Tao; Li, Ruifeng; Adami, Hans-Olov; Agnoli, Claudia; Bernstein, Leslie; Buring, Julie E; Chen, Yu; Connor, Avonne E; Eliassen, A Heather; Genkinger, Jeanine M; Gierach, Gretchen; Giles, Graham G; Goodman, Gary G; Håkansson, Niclas; Krogh, Vittorio; Le Marchand, Loic; Lee, I-Min; Liao, Linda M; Martinez, M Elena; Miller, Anthony B; Milne, Roger L; Neuhouser, Marian L; Patel, Alpa V; Prizment, Anna; Robien, Kim; Rohan, Thomas E; Sawada, Norie; Schouten, Leo J; Sinha, Rashmi; Stolzenberg-Solomon, Rachael Z; Teras, Lauren R; Tsugane, Shoichiro; Visvanathan, Kala; Weiderpass, Elisabete; White, Kami K; Willett, Walter C; Wolk, Alicja; Zeleniuch-Jacquotte, Anne; Smith-Warner, Stephanie A.
  • van den Brandt PA; Department of Epidemiology, GROW - School for Oncology and Developmental Biology, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands. PA.vandenBrandt@maastrichtuniversity.nl.
  • Ziegler RG; Department of Epidemiology, Care and Public Health Institute (CAPHRI), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands. PA.vandenBrandt@maastrichtuniversity.nl.
  • Wang M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Hou T; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Li R; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Adami HO; Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Agnoli C; Department of Nutrition, Harvard T.H Chan School of Public Health, Boston, MA, USA.
  • Bernstein L; Department of Nutrition, Harvard T.H Chan School of Public Health, Boston, MA, USA.
  • Buring JE; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Chen Y; Clinical Effectiveness Group, Institute of Health, University of Oslo, Oslo, Norway.
  • Connor AE; Epidemiology and Prevention Unit, Department of Research, Fondazione Istituto Nazionale Tumori, 20133, Milan, Italy.
  • Eliassen AH; Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA.
  • Genkinger JM; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Gierach G; Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Giles GG; Division of Epidemiology, Department of Population Health and Department of Environmental Medicine, New York University School of Medicine, New York, USA.
  • Goodman GG; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Håkansson N; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Krogh V; Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Le Marchand L; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
  • Lee IM; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
  • Liao LM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Martinez ME; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Miller AB; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
  • Milne RL; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
  • Neuhouser ML; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Patel AV; Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Prizment A; Epidemiology and Prevention Unit, Department of Research, Fondazione Istituto Nazionale Tumori, 20133, Milan, Italy.
  • Robien K; Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
  • Rohan TE; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Sawada N; Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Schouten LJ; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Sinha R; Department of Family Medicine and Public Health School of Medicine, University of California San Diego, La Jolla, CA, USA.
  • Stolzenberg-Solomon RZ; Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
  • Teras LR; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
  • Tsugane S; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Visvanathan K; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
  • Weiderpass E; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
  • White KK; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Willett WC; Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA.
  • Wolk A; Division of Hematology, Oncology and Transplantation, University of Minnesota Medical School, Minneapolis, MN, USA.
  • Zeleniuch-Jacquotte A; Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
  • Smith-Warner SA; Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Eur J Epidemiol ; 36(1): 37-55, 2021 Jan.
Article en En | MEDLINE | ID: mdl-33128203
ABSTRACT
Associations between anthropometric factors and breast cancer (BC) risk have varied inconsistently by estrogen and/or progesterone receptor (ER/PR) status. Associations between prediagnostic anthropometric factors and risk of premenopausal and postmenopausal BC overall and ER/PR status subtypes were investigated in a pooled analysis of 20 prospective cohorts, including 36,297 BC cases among 1,061,915 women, using multivariable Cox regression analyses, controlling for reproductive factors, diet and other risk factors. We estimated dose-response relationships and tested for nonlinear associations using restricted cubic splines. Height showed positive, linear associations for premenopausal and postmenopausal BC risk (6-7% RR increase per 5 cm increment), with stronger associations for receptor-positive subtypes. Body mass index (BMI) at cohort baseline was strongly inversely associated with premenopausal BC risk, and strongly positively-and nonlinearly-associated with postmenopausal BC (especially among women who never used hormone replacement therapy). This was primarily observed for receptor-positive subtypes. Early adult BMI (at 18-20 years) showed inverse, linear associations for premenopausal and postmenopausal BC risk (21% and 11% RR decrease per 5 kg/m2, respectively) with stronger associations for receptor-negative subtypes. Adult weight gain since 18-20 years was positively associated with postmenopausal BC risk, stronger for receptor-positive subtypes, and among women who were leaner in early adulthood. Women heavier in early adulthood generally had reduced premenopausal BC risk, independent of later weight gain. Positive associations between height, baseline (adult) BMI, adult weight gain and postmenopausal BC risk were substantially stronger for hormone receptor-positive versus negative subtypes. Premenopausal BC risk was positively associated with height, but inversely with baseline BMI and weight gain (mostly in receptor-positive subtypes). Inverse associations with early adult BMI seemed stronger in receptor-negative subtypes of premenopausal and postmenopausal BC.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Peso Corporal / Neoplasias de la Mama / Menopausia / Aumento de Peso / Receptores de Estrógenos Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Peso Corporal / Neoplasias de la Mama / Menopausia / Aumento de Peso / Receptores de Estrógenos Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Año: 2021 Tipo del documento: Article