Alv A Dahl1,2, Sophie D Fosså1, Hanne C Lie1,3,4, Jon Håvard Loge3,5, Kristin Valborg Reinertsen1,6, Ellen Ruud2,4, Cecilie Essholt Kiserud1. 1. 1 National Advisory Unit on Late Effects After Cancer Treatment, Radiumhospitalet, Oslo University Hospital, Oslo, Norway. 2. 2 Faculty of Medicine, University of Oslo, Oslo, Norway. 3. 3 Department of Behavioural Sciences in Medicine, University of Oslo, Oslo, Norway. 4. 4 Department of Paediatric Medicine, Rikshospitalet, Oslo University Hospital, Oslo, Norway. 5. 5 Regional Advisory Unit on Palliative Care, Oslo University Hospital, Oslo, Norway. 6. 6 Department of Oncology, Ullevål Hospital, Oslo University Hospital, Oslo, Norway.
Abstract
Purpose: In young adult cancer survivors (YACSs) to explore the rate of being nonemployed and having low work ability, and to identify factors associated with these two outcomes. Methods: All Norwegian YACSs (N = 3558) diagnosed at ages 19-39 years and treated between 1985 and 2009 for breast or colorectal cancer, leukemia, non-Hodgkin lymphoma, or melanoma, and alive in 2015, were mailed a questionnaire. The response rate was 42%. For treatment, a minimal surgery-only group (N = 198) was defined as reference group, and 1000 YACSs represented the local, systemic, and systemic plus other treatment groups. Work status was compared with normative data. Results: The sample included 63% females. Median age at survey was 49 years (range 27-65), and median time since first cancer diagnosis was 16 years (range 6-31). At survey, 25% (95% confidence interval [CI]: 22-27) of YACSs were nonemployed, and 38% (95% CI: 35-41) reported low work ability. The rate of being nonemployed was similar to normative data. More female YACSs held disability pension compared with normative data. In multivariable analyses, an increasing number of adverse effects (AEs), cardiovascular diseases, lower basic education, reduced level of self-rated health, and increased level of depression were significantly associated with both being nonemployed and having low work ability. Conclusions: In YACSs surveyed at median 49 years of age, 25% were nonemployed and 38% had low current work ability. An increased mean number of long-term AEs and several other health-related factors were significantly associated with both these outcomes. Health care providers responsible for YACSs should be attentive to such factors and work ability.
Purpose: In young adult cancer survivors (YACSs) to explore the rate of being nonemployed and having low work ability, and to identify factors associated with these two outcomes. Methods: All Norwegian YACSs (N = 3558) diagnosed at ages 19-39 years and treated between 1985 and 2009 for breast or colorectal cancer, leukemia, non-Hodgkin lymphoma, or melanoma, and alive in 2015, were mailed a questionnaire. The response rate was 42%. For treatment, a minimal surgery-only group (N = 198) was defined as reference group, and 1000 YACSs represented the local, systemic, and systemic plus other treatment groups. Work status was compared with normative data. Results: The sample included 63% females. Median age at survey was 49 years (range 27-65), and median time since first cancer diagnosis was 16 years (range 6-31). At survey, 25% (95% confidence interval [CI]: 22-27) of YACSs were nonemployed, and 38% (95% CI: 35-41) reported low work ability. The rate of being nonemployed was similar to normative data. More female YACSs held disability pension compared with normative data. In multivariable analyses, an increasing number of adverse effects (AEs), cardiovascular diseases, lower basic education, reduced level of self-rated health, and increased level of depression were significantly associated with both being nonemployed and having low work ability. Conclusions: In YACSs surveyed at median 49 years of age, 25% were nonemployed and 38% had low current work ability. An increased mean number of long-term AEs and several other health-related factors were significantly associated with both these outcomes. Health care providers responsible for YACSs should be attentive to such factors and work ability.
Entities:
Keywords:
long-term adverse effects; treatment intensity; work ability; work status
Authors: K Vandraas; R S Falk; S K H Bøhn; C Kiserud; H C Lie; S K Smedsland; M Ewertz; S Dahl; M Brekke; K V Reinertsen Journal: Breast Cancer Res Treat Date: 2022-04-21 Impact factor: 4.624
Authors: Alicia A Gingrich; Candice A M Sauder; Melanie Goldfarb; Qian Li; Ted Wun; Theresa H M Keegan Journal: Cancer Epidemiol Biomarkers Prev Date: 2020-08-20 Impact factor: 4.254
Authors: Lauren Victoria Ghazal; John Merriman; Sheila Judge Santacroce; Victoria Vaughan Dickson Journal: Workplace Health Saf Date: 2021-05-27 Impact factor: 1.413
Authors: A V Mellblom; C E Kiserud; C S Rueegg; E Ruud; J H Loge; S D Fosså; Hanne C Lie Journal: Support Care Cancer Date: 2020-10-03 Impact factor: 3.603