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Employment Changes Following Breast Cancer Diagnosis: The Effects of Race and Place
Journal article   Open access   Peer reviewed

Employment Changes Following Breast Cancer Diagnosis: The Effects of Race and Place

Jennifer C Spencer, Jason S Rotter, Jan M Eberth, Whitney E Zahnd, Robin C Vanderpool, Linda K Ko, Melinda M Davis, Melissa A Troester, Andrew F Olshan and Stephanie B Wheeler
JNCI : Journal of the National Cancer Institute, v 112(6), pp 647-650
01 Jun 2020
PMID: 31599949
url
https://doi.org/10.1093/jnci/djz197View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

African Continental Ancestry Group - statistics & numerical data Breast Neoplasms - economics Breast Neoplasms - epidemiology Breast Neoplasms - ethnology Employment - economics Employment - statistics & numerical data European Continental Ancestry Group - statistics & numerical data Female Humans North Carolina - epidemiology Rural Population - statistics & numerical data Social Class Urban Population - statistics & numerical data
The financial implications of breast cancer diagnosis may be greater among rural and black women. Women with incident breast cancer were recruited as part of the Carolina Breast Cancer Study. We compared unadjusted and adjusted prevalence of cancer-related job or income loss, and a composite measure of either outcome, by rural residence and stratified by race. We included 2435 women: 11.7% were rural; 48.5% were black; and 38.0% reported employment changes after diagnosis. Rural women more often reported employment effects, including reduced household income (43.6% vs 35.4%, two-sided χ2 test P = .04). Rural white, rural black, and urban black women each more often reported income reduction (statistically significant vs. urban white women), although these groups did not meaningfully differ from each other. In multivariable regression, rural differences were mediated by socioeconomic factors, but racial differences remained. Programs and policies to reduce financial toxicity in vulnerable patients should address indirect costs of cancer, including lost wages and employment.

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Web of Science research areas
Oncology
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