Literature DB >> 26320705

Working with cancer: health and employment among cancer survivors.

Tainya C Clarke1, Sharon L Christ2, Hosanna Soler-Vila3, David J Lee1, Kristopher L Arheart1, Guillermo Prado1, Alberto Caban-Martinez1, Lora E Fleming4.   

Abstract

PURPOSE: Cancer affects a growing proportion of US workers. Factors contributing to whether they continue or return to work after cancer diagnosis include: age, physical and mental health, health insurance, education, and cancer site. The purpose of this study was to assess the complex relationships between health indicators and employment status for adult cancer survivors.
METHODS: We analyzed pooled data from the 1997-2012 US National Health Interview Survey (NHIS). Our sample included adults with a self-reported physician diagnosis of cancer (n = 24,810) and adults with no cancer history (n = 382,837). Using structural equation modeling (SEM), we evaluated the relationship between sociodemographic factors, cancer site, and physical and mental health indicators on the overall health and employment status among adults with a cancer history.
RESULTS: The overall model for cancer survivors fit the data well (χ(2) (374) = 3654.7, P < .001; comparative fit index = 0.98; root mean square error of approximation = 0.04). Although black cancer survivors were less likely to report good-to-excellent health, along with Hispanic survivors, they were more likely to continue to work after diagnosis compared with their white counterparts. Health insurance status and educational level were strongly and positively associated with health status and current employment. Age and time since diagnosis were not significantly associated with health status or employment, but there were significant differences by cancer site.
CONCLUSIONS: A proportion of cancer survivors may continue to work because of employment-based health insurance despite reporting poor health and significant physical and mental health limitations. Acute and long-term health and social support are essential for the continued productive employment and quality of life of all cancer survivors.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Employment; Epidemiology; Health policy; Survivors; Survivorship

Mesh:

Year:  2015        PMID: 26320705     DOI: 10.1016/j.annepidem.2015.07.011

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  12 in total

1.  Long-term quality of life profile in oncology: a comparison between cancer survivors and the general population.

Authors:  Maria Antonietta Annunziata; Barbara Muzzatti; Cristiana Flaiban; Katiuscia Gipponi; Carlo Carnaghi; Paolo Tralongo; Michele Caruso; Raffaele Cavina; Umberto Tirelli
Journal:  Support Care Cancer       Date:  2017-09-16       Impact factor: 3.603

2.  Development of the Cancer Survivor Profile-Breast Cancer (CSPro-BC) app: patient and nurse perspectives on a new navigation tool.

Authors:  Amanda Gehrke; Sukhyung Steve Lee; Karrie Hilton; Barbara Ganster; Rebecca Trupp; Corinne McCullough; Elizabeth Mott; Michael Feuerstein
Journal:  J Cancer Surviv       Date:  2018-03-09       Impact factor: 4.442

3.  Predictors of post-cancer diagnosis resignation among Japanese cancer survivors.

Authors:  Motoki Endo; Go Muto; Yuya Imai; Kiyomi Mitsui; Katsuji Nishimura; Kazuhiko Hayashi
Journal:  J Cancer Surviv       Date:  2019-11-13       Impact factor: 4.442

4.  Managing work and cancer treatment: Experiences among survivors of hematological cancer.

Authors:  Maria D Thomson; Laura A Siminoff
Journal:  Cancer       Date:  2018-04-16       Impact factor: 6.860

5.  Assessing Physical Activity Behavior of Cancer Survivors by Race and Social Determinants of Health.

Authors:  Matthew Asare; Scott McIntosh; Eva Culakova; Amina Alio; M Renee Umstattd Meyer; Amber S Kleckner; Georges Adunlin; Ian R Kleckner; Kelly R Ylitalo; Charles S Kamen
Journal:  Int Q Community Health Educ       Date:  2019-06-26

6.  Association of Cumulative Socioeconomic and Health-Related Disadvantage With Disparities in Smoking Prevalence in the United States, 2008 to 2017.

Authors:  Adam M Leventhal; Mariel S Bello; Ellen Galstyan; Stephen T Higgins; Jessica L Barrington-Trimis
Journal:  JAMA Intern Med       Date:  2019-06-01       Impact factor: 21.873

7.  Survivorship, Version 1.2021.

Authors:  Amye Tevaarwerk; Crystal S Denlinger; Tara Sanft; Shannon M Ansbaugh; Saro Armenian; K Scott Baker; Gregory Broderick; Andrew Day; Wendy Demark-Wahnefried; Kristin Dickinson; Debra L Friedman; Patricia Ganz; Mindy Goldman; Norah Lynn Henry; Christine Hill-Kayser; Melissa Hudson; Nazanin Khakpour; Divya Koura; Allison L McDonough; Michelle Melisko; Kathi Mooney; Halle C F Moore; Natalie Moryl; Javid J Moslehi; Tracey O'Connor; Linda Overholser; Electra D Paskett; Chirayu Patel; Lindsay Peterson; William Pirl; M Alma Rodriguez; Kathryn J Ruddy; Lidia Schapira; Lillie Shockney; Sophia Smith; Karen L Syrjala; Phyllis Zee; Nicole R McMillian; Deborah A Freedman-Cass
Journal:  J Natl Compr Canc Netw       Date:  2021-06-30       Impact factor: 11.908

8.  Perceptions of clinical support for employed breast cancer survivors managing work and health challenges.

Authors:  Alicia G Dugan; Ragan E Decker; Sara Namazi; Jennifer M Cavallari; Keith M Bellizzi; Thomas O Blank; Ellen A Dornelas; Susan H Tannenbaum; William S Shaw; Helen Swede; Andrew L Salner
Journal:  J Cancer Surviv       Date:  2021-01-06       Impact factor: 4.442

9.  Comparative Analysis of the Trends in Medical Utilization of Cancer Inpatients in Korea.

Authors:  Hyun-Ju Lee; Sung-Soo Kim
Journal:  Osong Public Health Res Perspect       Date:  2017-10-31

10.  Closing the gap on causal processes of infection risk from cross-sectional data: structural equation models to understand infection and co-infection.

Authors:  Scott Carver; Julia A Beatty; Ryan M Troyer; Rachel L Harris; Kathryn Stutzman-Rodriguez; Vanessa R Barrs; Cathy C Chan; Séverine Tasker; Michael R Lappin; Sue VandeWoude
Journal:  Parasit Vectors       Date:  2015-12-23       Impact factor: 3.876

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