Literature DB >> 15122591

Education and risk of breast cancer in the Norwegian-Swedish women's lifestyle and health cohort study.

Tonje Braaten1, Elisabete Weiderpass, Merethe Kumle, Hans-Olov Adami, Eiliv Lund.   

Abstract

A positive relationship between level of education and female breast cancer risk is well supported by scientific evidence, but few previous studies could adjust for all relevant potential confounding factors. The authors' purpose was to examine how risk for breast cancer varies with level of education and to identify factors that explain this variation, using data from a prospective cohort study including 102860 women from Norway and Sweden who responded to an extensive questionnaire in 1991/1992; 1090 incident primary invasive breast cancer cases were revealed during follow-up, which ended in December 1999. The Cox Proportional Hazards Model was used to calculate relative risks (RR) with 95% confidence intervals (CI). Women with more than 16 years of education had a 36% increased risk compared to the lowest educated (7-9 years) (Age adjusted RR=1.36, 95% CI: 1.10, 1.68). This relationship was slightly stronger among postmenopausal (RR 1.51) than among premenopausal (RR 1.25) women. In both groups, however, the relative risk estimates turned close to unity by adjustment for parity, age at first birth, body mass index (BMI), height, age at menarche, menopausal status, use of oral contraceptives and consumption of alcohol. The overall multivariate relative risk among the highest educated women was 1.04 (95% CI 0.82-1.32). The results of our study suggest a clear positive gradient in risk for breast cancer by level of education, which can be fully explained by established breast cancer risk factors. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15122591     DOI: 10.1002/ijc.20141

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  23 in total

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Journal:  Eur J Breast Health       Date:  2017-10-01

2.  The contribution of risk factors to the higher incidence of invasive and in situ breast cancers in women with higher levels of education in the European prospective investigation into cancer and nutrition.

Authors:  Gwenn Menvielle; Anton E Kunst; Carla H van Gils; Petra H Peeters; Hendriek Boshuizen; Kim Overvad; Anja Olsen; Anne Tjonneland; Silke Hermann; Rudolf Kaaks; Manuela M Bergmann; Anne-Kathrin Illner; Pagona Lagiou; Dimitrios Trichopoulos; Antonia Trichopoulou; Domenico Palli; Franco Berrino; Amelia Mattiello; Rosario Tumino; Carlotta Sacerdote; Anne May; Evelyn Monninkhof; Tonje Braaten; Eiliv Lund; José Ramón Quirós; Eric J Duell; Maria-José Sánchez; Carmen Navarro; Eva Ardanaz; Signe Borgquist; Jonas Manjer; Kay Tee Khaw; Naomi E Allen; Gillian K Reeves; Véronique Chajes; Sabina Rinaldi; Nadia Slimani; Valentina Gallo; Paolo Vineis; Elio Riboli; H Bas Bueno-de-Mesquita
Journal:  Am J Epidemiol       Date:  2010-11-17       Impact factor: 4.897

3.  Mammographic density and markers of socioeconomic status: a cross-sectional study.

Authors:  Zoe Aitken; Kate Walker; Bernardine H Stegeman; Petra A Wark; Sue M Moss; Valerie A McCormack; Isabel dos Santos Silva
Journal:  BMC Cancer       Date:  2010-02-09       Impact factor: 4.430

4.  Ovarian hormones and reproductive risk factors for breast cancer in premenopausal women: the Norwegian EBBA-I study.

Authors:  A Iversen; I Thune; A McTiernan; A Emaus; S E Finstad; V Flote; T Wilsgaard; S F Lipson; P T Ellison; G Jasienska; A-S Furberg
Journal:  Hum Reprod       Date:  2011-04-05       Impact factor: 6.918

5.  Social inequalities in breast cancer mortality among French women: disappearing educational disparities from 1968 to 1996.

Authors:  G Menvielle; A Leclerc; J-F Chastang; D Luce
Journal:  Br J Cancer       Date:  2006-01-16       Impact factor: 7.640

6.  Breast cancer risk factors in Turkish women--a University Hospital based nested case control study.

Authors:  Vahit Ozmen; Beyza Ozcinar; Hasan Karanlik; Neslihan Cabioglu; Mustafa Tukenmez; Rian Disci; Tolga Ozmen; Abdullah Igci; Mahmut Muslumanoglu; Mustafa Kecer; Atilla Soran
Journal:  World J Surg Oncol       Date:  2009-04-08       Impact factor: 2.754

7.  Differences in reproductive risk factors for breast cancer in middle-aged women in Marin County, California and a sociodemographically similar area of Northern California.

Authors:  C Suzanne Lea; Nancy P Gordon; Lee Ann Prebil; Rochelle Ereman; Connie S Uratsu; Mark Powell
Journal:  BMC Womens Health       Date:  2009-03-25       Impact factor: 2.809

8.  Causality, mediation and time: a dynamic viewpoint.

Authors:  Odd O Aalen; Kjetil Røysland; Jon Michael Gran; Bruno Ledergerber
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2012-10       Impact factor: 2.483

9.  Educational differences in cancer mortality among women and men: a gender pattern that differs across Europe.

Authors:  G Menvielle; A E Kunst; I Stirbu; B H Strand; C Borrell; E Regidor; A Leclerc; S Esnaola; M Bopp; O Lundberg; B Artnik; G Costa; P Deboosere; P Martikainen; J P Mackenbach
Journal:  Br J Cancer       Date:  2008-02-19       Impact factor: 7.640

10.  Increased standardized incidence ratio of breast cancer in female electronics workers.

Authors:  Tzu-I Sung; Pau-Chung Chen; Lukas Jyuhn-Hsiarn Lee; Yi-Ping Lin; Gong-Yih Hsieh; Jung-Der Wang
Journal:  BMC Public Health       Date:  2007-06-08       Impact factor: 3.295

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