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Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden
BACKGROUND: Women’s return to work after diagnosis of breast cancer (BC) is becoming more prevalent. However, register-based national investigation on sickness absence (SA) and disability pension (DP) in BC women is lacking. The aim of the study was to explore SA and DP before and after a first BC d...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033713/ https://www.ncbi.nlm.nih.gov/pubmed/33836707 http://dx.doi.org/10.1186/s12889-021-10703-1 |
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author | Kvillemo, Pia K. Chen, Lingjing Bottai, Matteo Frumento, Paolo Almondo, Gino Mittendorfer-Rutz, Ellenor Friberg, Emilie Alexanderson, Kristina A. E. |
author_facet | Kvillemo, Pia K. Chen, Lingjing Bottai, Matteo Frumento, Paolo Almondo, Gino Mittendorfer-Rutz, Ellenor Friberg, Emilie Alexanderson, Kristina A. E. |
author_sort | Kvillemo, Pia K. |
collection | PubMed |
description | BACKGROUND: Women’s return to work after diagnosis of breast cancer (BC) is becoming more prevalent. However, register-based national investigation on sickness absence (SA) and disability pension (DP) in BC women is lacking. The aim of the study was to explore SA and DP before and after a first BC diagnosis and the possibility to predict new cancer-related SA by using disease-related and sociodemographic factors. METHODS: A longitudinal register study of the 3536 women in Sweden aged 19–64 with a first BC diagnosis in 2010 was conducted by linkage of five nationwide registers. Particularly, detailed information on SA and DP was obtained from the National Social Insurance Agency. Descriptive statistics on SA and DP 2 years before through 3 years after the BC diagnosis were performed. The risk of having a new SA spell due to BC or BC-related diagnoses was modeled using logistic regression. RESULTS: The proportion of women with SA increased during the year following the BC diagnosis date and declined over the next 2 years to proportions before diagnosis. At the time of BC diagnosis, half of the women began a new SA spell > 14 days with cancer, cancer-related, or mental diagnosis. Disease-related and sociodemographic factors including occupational sector, living area, age, cancer stage, educational level, and number of previous SA days showed statistical significance (p < 0.05) in predicting a new SA around BC diagnosis. By using these factors, it was possible to correctly predict 67% of the new SA spell. CONCLUSIONS: SA among women with BC was elevated mainly in the first year after diagnosis. New SA following BC diagnosis can accurately be predicted. |
format | Online Article Text |
id | pubmed-8033713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80337132021-04-09 Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden Kvillemo, Pia K. Chen, Lingjing Bottai, Matteo Frumento, Paolo Almondo, Gino Mittendorfer-Rutz, Ellenor Friberg, Emilie Alexanderson, Kristina A. E. BMC Public Health Research Article BACKGROUND: Women’s return to work after diagnosis of breast cancer (BC) is becoming more prevalent. However, register-based national investigation on sickness absence (SA) and disability pension (DP) in BC women is lacking. The aim of the study was to explore SA and DP before and after a first BC diagnosis and the possibility to predict new cancer-related SA by using disease-related and sociodemographic factors. METHODS: A longitudinal register study of the 3536 women in Sweden aged 19–64 with a first BC diagnosis in 2010 was conducted by linkage of five nationwide registers. Particularly, detailed information on SA and DP was obtained from the National Social Insurance Agency. Descriptive statistics on SA and DP 2 years before through 3 years after the BC diagnosis were performed. The risk of having a new SA spell due to BC or BC-related diagnoses was modeled using logistic regression. RESULTS: The proportion of women with SA increased during the year following the BC diagnosis date and declined over the next 2 years to proportions before diagnosis. At the time of BC diagnosis, half of the women began a new SA spell > 14 days with cancer, cancer-related, or mental diagnosis. Disease-related and sociodemographic factors including occupational sector, living area, age, cancer stage, educational level, and number of previous SA days showed statistical significance (p < 0.05) in predicting a new SA around BC diagnosis. By using these factors, it was possible to correctly predict 67% of the new SA spell. CONCLUSIONS: SA among women with BC was elevated mainly in the first year after diagnosis. New SA following BC diagnosis can accurately be predicted. BioMed Central 2021-04-09 /pmc/articles/PMC8033713/ /pubmed/33836707 http://dx.doi.org/10.1186/s12889-021-10703-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Kvillemo, Pia K. Chen, Lingjing Bottai, Matteo Frumento, Paolo Almondo, Gino Mittendorfer-Rutz, Ellenor Friberg, Emilie Alexanderson, Kristina A. E. Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden |
title | Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden |
title_full | Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden |
title_fullStr | Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden |
title_full_unstemmed | Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden |
title_short | Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden |
title_sort | sickness absence and disability pension among women with breast cancer: a population-based cohort study from sweden |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033713/ https://www.ncbi.nlm.nih.gov/pubmed/33836707 http://dx.doi.org/10.1186/s12889-021-10703-1 |
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