Literature DB >> 35147889

The Health of Women (HOW) Study®: a web-based survey of breast cancer risk factors, diagnosis, and treatment.

Jennifer Lyn Guida1, Paige Green2, Jessica Clague-DeHart3, Leah Eshraghi4, Nicole Laurita4, Mary O'Connell2, Susan Love4.   

Abstract

PURPOSE: Although improvements in breast cancer detection and treatment have significantly increased survival, important questions related to breast cancer risk, prognosis, and survivorship remain. This brief report describes the Health of Women (HOW) Study® methodology and characterizes the participants who completed the My Health Overview and My Breast Cancer modules.
METHODS: The HOW Study® was a collection of cross-sectional, web-based modules designed to survey a large number of participants with and without breast cancer.
RESULTS: A total of 42,540 participants completed the My Health Overview module, of whom 13,285 (31.2%) reported a history of breast cancer. The majority of participants were white (94.3%), female (99.5%), married (74.1%), college educated (73.2%), post-menopausal (91.1%), parous (68.8%), and reported breastfeeding their children (56.0%). A total of 11,670 participants reported a history of breast cancer in the My Breast Cancer module. The majority of survivors reported on their primary breast cancer and were diagnosed over the age of 40 years (83.5%), had either Stage I or Stage II breast cancer (63.1%), and were treated with surgery (98.8%), radiation (64.8%), and/or chemotherapy (62.3%).
CONCLUSIONS: The HOW Study® provides an innovative framework for collecting large amounts of epidemiological data in an efficient and minimally invasive way. Data are publicly available to researchers upon request. IMPLICATIONS FOR CANCER SURVIVORS: The HOW Study® can be leveraged to answer important questions about survivorship, and researchers are encouraged to utilize this new data source.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Entities:  

Keywords:  Breast cancer; Quality of life; Risk factors; Survivorship

Year:  2022        PMID: 35147889      PMCID: PMC9365887          DOI: 10.1007/s11764-022-01180-5

Source DB:  PubMed          Journal:  J Cancer Surviv        ISSN: 1932-2259            Impact factor:   4.062


  7 in total

1.  Health information, the Internet, and the digital divide.

Authors:  M Brodie; R E Flournoy; D E Altman; R J Blendon; J M Benson; M D Rosenbaum
Journal:  Health Aff (Millwood)       Date:  2000 Nov-Dec       Impact factor: 6.301

2.  Selection bias of Internet panel surveys: a comparison with a paper-based survey and national governmental statistics in Japan.

Authors:  Satoshi Tsuboi; Honami Yoshida; Ryusuke Ae; Takao Kojo; Yosikazu Nakamura; Kunio Kitamura
Journal:  Asia Pac J Public Health       Date:  2012-06-28       Impact factor: 1.399

3.  Cancer treatment and survivorship statistics, 2019.

Authors:  Kimberly D Miller; Leticia Nogueira; Angela B Mariotto; Julia H Rowland; K Robin Yabroff; Catherine M Alfano; Ahmedin Jemal; Joan L Kramer; Rebecca L Siegel
Journal:  CA Cancer J Clin       Date:  2019-06-11       Impact factor: 508.702

4.  Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection methods.

Authors:  Arne Weigold; Ingrid K Weigold; Elizabeth J Russell
Journal:  Psychol Methods       Date:  2013-03

5.  Validity of self-reports of breast cancer treatment in low-income, medically underserved women with breast cancer.

Authors:  Yihang Liu; Allison L Diamant; Amardeep Thind; Rose C Maly
Journal:  Breast Cancer Res Treat       Date:  2009-06-24       Impact factor: 4.872

6.  Ascertaining invasive breast cancer cases; the validity of administrative and self-reported data sources in Australia.

Authors:  Anna Kemp; David B Preen; Christobel Saunders; C D'Arcy J Holman; Max Bulsara; Kris Rogers; Elizabeth E Roughead
Journal:  BMC Med Res Methodol       Date:  2013-02-11       Impact factor: 4.615

7.  Validity of self-reported breast cancer characteristics in a nationwide cohort of women with a family history of breast cancer.

Authors:  Aimee A D'Aloisio; Hazel B Nichols; M Elizabeth Hodgson; Sandra L Deming-Halverson; Dale P Sandler
Journal:  BMC Cancer       Date:  2017-10-23       Impact factor: 4.430

  7 in total

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