Literature DB >> 20494530

Defining menopausal status in epidemiologic studies: A comparison of multiple approaches and their effects on breast cancer rates.

Amanda I Phipps1, Laura Ichikawa, Erin J A Bowles, Patricia A Carney, Karla Kerlikowske, Diana L Miglioretti, Diana S M Buist.   

Abstract

OBJECTIVES: Menopausal status is a common covariate in epidemiologic studies. Still, there are no standard definitions for menopausal status using observational data. This study assesses distinctions between menopausal status definitions using commonly collected epidemiologic data, and explores their impact on study outcomes using breast cancer rates as an example. STUDY
DESIGN: Using survey data from 227,700 women aged 40-64 who received screening mammograms from the Breast Cancer Surveillance Consortium, we classified menopausal status under five different definitions: one complex definition combining multiple variables, two definitions using age as a proxy for menopausal status, one based only on menstrual period status, and one based on age and menstrual period status. MAIN OUTCOME MEASURES: We compared the distribution of menopausal status and menopausal status-specific breast cancer incidence and detection rates across definitions for menopausal status.
RESULTS: Overall, 36% and 29% of women were consistently classified as postmenopausal and premenopausal, respectively, across all definitions. Menopausal status-specific breast cancer incidence and detection rates were similar across definitions. Rates were unchanged when information regarding natural menopause, bilateral oophorectomy, hormone therapy, and timing of last menstrual period were sequentially added to definitions of postmenopausal status.
CONCLUSIONS: Distinctions in menopausal status definitions contribute to notable differences in how women are classified, but translate to only slight differences in menopausal status-specific breast cancer rates. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20494530      PMCID: PMC2922404          DOI: 10.1016/j.maturitas.2010.04.015

Source DB:  PubMed          Journal:  Maturitas        ISSN: 0378-5122            Impact factor:   4.342


  16 in total

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Journal:  J Womens Health Gend Based Med       Date:  2001-11

2.  Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk.

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Journal:  Am J Epidemiol       Date:  2000-09-15       Impact factor: 4.897

3.  Misclassification bias related to definition of menopausal status in case-control studies of breast cancer.

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Journal:  Int J Epidemiol       Date:  1992-04       Impact factor: 7.196

4.  Factors associated with age at natural menopause in a multiethnic sample of midlife women.

Authors:  E B Gold; J Bromberger; S Crawford; S Samuels; G A Greendale; S D Harlow; J Skurnick
Journal:  Am J Epidemiol       Date:  2001-05-01       Impact factor: 4.897

Review 5.  A review of hormonal changes during the menopausal transition: focus on findings from the Melbourne Women's Midlife Health Project.

Authors:  H G Burger; G E Hale; D M Robertson; L Dennerstein
Journal:  Hum Reprod Update       Date:  2007-07-14       Impact factor: 15.610

6.  The role of reproductive and menstrual factors in cancer of the breast before and after menopause.

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7.  Menopause and breast cancer risk.

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Journal:  J Natl Cancer Inst       Date:  1972-03       Impact factor: 13.506

8.  Evaluation of four proposed bleeding criteria for the onset of late menopausal transition.

Authors:  Siobán D Harlow; Kevin Cain; Sybil Crawford; Lorraine Dennerstein; Roderick Little; Ellen S Mitchell; Bin Nan; John F Randolph; John Taffe; Matheos Yosef
Journal:  J Clin Endocrinol Metab       Date:  2006-06-13       Impact factor: 5.958

9.  Menstrual factors and breast cancer risk.

Authors:  G Kvåle; I Heuch
Journal:  Cancer       Date:  1988-10-15       Impact factor: 6.860

10.  Use of oral contraceptives, alcohol, and risk for invasive breast cancer.

Authors:  Vanessa Dumeaux; Eiliv Lund; Anette Hjartåker
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-08       Impact factor: 4.254

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  53 in total

1.  Anti-Müllerian hormone concentrations in premenopausal women and breast cancer risk.

Authors:  Hazel B Nichols; Donna D Baird; Frank Z Stanczyk; Anne Z Steiner; Melissa A Troester; Kristina W Whitworth; Dale P Sandler
Journal:  Cancer Prev Res (Phila)       Date:  2015-04-14

Review 2.  The Role of Biomarkers of Oxidative Stress in Breast Cancer Risk and Prognosis: A Systematic Review of the Epidemiologic Literature.

Authors:  Jasmine D Lee; Qiuyin Cai; Xiao Ou Shu; Sarah J Nechuta
Journal:  J Womens Health (Larchmt)       Date:  2017-02-02       Impact factor: 2.681

3.  Effects of transitioning from conventional methods to liquid-based methods on unsatisfactory Papanicolaou tests: results from a multicenter US study.

Authors:  Christopher L Owens; Dan Peterson; Aruna Kamineni; Diana S M Buist; Sheila Weinmann; Tyler R Ross; Andrew E Williams; Azadeh Stark; Kenneth F Adams; Terry S Field
Journal:  Cancer Cytopathol       Date:  2013-05-08       Impact factor: 5.284

4.  Performance of Screening Ultrasonography as an Adjunct to Screening Mammography in Women Across the Spectrum of Breast Cancer Risk.

Authors:  Janie M Lee; Robert F Arao; Brian L Sprague; Karla Kerlikowske; Constance D Lehman; Robert A Smith; Louise M Henderson; Garth H Rauscher; Diana L Miglioretti
Journal:  JAMA Intern Med       Date:  2019-05-01       Impact factor: 21.873

5.  Diabetes and differences in detection of incident invasive breast cancer.

Authors:  Gregory S Calip; Onchee Yu; Denise M Boudreau; Huibo Shao; Ruth Oratz; Stephen B Richardson; Heather T Gold
Journal:  Cancer Causes Control       Date:  2019-04-04       Impact factor: 2.506

6.  Factors associated with long-term adherence to annual surveillance mammography among breast cancer survivors.

Authors:  Heidi S Wirtz; Denise M Boudreau; Julie R Gralow; William E Barlow; Shelly Gray; Erin J A Bowles; Diana S M Buist
Journal:  Breast Cancer Res Treat       Date:  2014-01-10       Impact factor: 4.872

7.  Comparative safety of cardiovascular medication use and breast cancer outcomes among women with early stage breast cancer.

Authors:  Denise M Boudreau; Onchee Yu; Jessica Chubak; Heidi S Wirtz; Erin J Aiello Bowles; Monica Fujii; Diana S M Buist
Journal:  Breast Cancer Res Treat       Date:  2014-02-21       Impact factor: 4.872

8.  Distress screening remains important during follow-up after primary breast cancer treatment.

Authors:  Floortje K Ploos van Amstel; Sanne W van den Berg; Hanneke W M van Laarhoven; Marieke F M Gielissen; Judith B Prins; Petronella B Ottevanger
Journal:  Support Care Cancer       Date:  2013-03-01       Impact factor: 3.603

9.  Reported mammographic density: film-screen versus digital acquisition.

Authors:  Jennifer A Harvey; Charlotte C Gard; Diana L Miglioretti; Bonnie C Yankaskas; Karla Kerlikowske; Diana S M Buist; Berta A Geller; Tracy L Onega
Journal:  Radiology       Date:  2012-12-18       Impact factor: 11.105

10.  Endocrine therapy initiation from 2001 to 2008 varies by age at breast cancer diagnosis and tumor size.

Authors:  Erin J Aiello Bowles; Diana S M Buist; Jessica Chubak; Onchee Yu; Jeanene Johnson; Janet Chestnut; Denise M Boudreau
Journal:  J Oncol Pract       Date:  2012-02-21       Impact factor: 3.840

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