Long-term effects of cancer on earnings of childhood, adolescent and young adult cancer survivors – a population-based study from British ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Paulos Teckle, Stuart Peacock, Mary L. McBride, Colene Bentley, Karen Goddard, Paul Rogers

ABSTRACT

BACKGROUND: The patterns and determinants of long-term income among young people surviving cancer, and differences compared to peers, have not yet been fully explored. The objectives of this paper are to describe long-term income among young survivors of cancer, the impact of socio-demographic, disease, and treatment factors on long-term income, and income relative to the general population. METHODS: Retrospective cohort study with comparison group from the general population, using linked population-based registries, clinical data, and tax-records. Multivariate random effects regression models were used to determine survivor income, compare long-term income between survivors and comparators, and assess income determinants. Subjects included all residents of British Columbia (BC), Canada, diagnosed with cancer before 25 years of age and surviving 5 years or more. Comparators were selected from the BC general population matched by gender and birth year. RESULTS: Young cancer survivors earned significantly less than the general population. In addition, survivors of central nervous system tumors have significantly lower incomes than lymphoma survivors. Survivors who received radiation therapy have significantly lower income. Results should be interpreted with caution as the comparator group was matched by gender and date of birth. CONCLUSIONS: Depending on original diagnosis, treatment, and other characteristics, survivors face significantly lower income than peers and may require supports to gain and retain paid employment. Lower income will affect their opportunity for independent living, and will reduce productivity in the labour force. More... »

PAGES

826

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12913-018-3617-5

DOI

http://dx.doi.org/10.1186/s12913-018-3617-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107953429

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30382843


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RDF/XML is a standard XML format for linked data.

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