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Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery
PURPOSE: To identify subgroups of female breast cancer patients with distinct self-reported employment interference (EI) profiles and determine which demographic, clinical, and symptom characteristics, and quality of life outcomes were associated with subgroup membership. METHODS: Women with breast...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327049/ https://www.ncbi.nlm.nih.gov/pubmed/34340680 http://dx.doi.org/10.1186/s12885-021-08583-0 |
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author | Chan, Raymond Javan Cooper, Bruce Gordon, Louisa Hart, Nicolas Tan, Chia Jie Koczwara, Bogda Kober, Kord M. Chan, Alexandre Conley, Yvette P. Paul, Steven M. Miaskowski, Christine |
author_facet | Chan, Raymond Javan Cooper, Bruce Gordon, Louisa Hart, Nicolas Tan, Chia Jie Koczwara, Bogda Kober, Kord M. Chan, Alexandre Conley, Yvette P. Paul, Steven M. Miaskowski, Christine |
author_sort | Chan, Raymond Javan |
collection | PubMed |
description | PURPOSE: To identify subgroups of female breast cancer patients with distinct self-reported employment interference (EI) profiles and determine which demographic, clinical, and symptom characteristics, and quality of life outcomes were associated with subgroup membership. METHODS: Women with breast cancer (n = 385) were assessed for changes in EI over ten times, from prior to, through 12 months after breast cancer surgery. Latent profile analysis (LPA) was used to identify subgroups of patients with distinct EI profiles. RESULTS: Three distinct EI profiles (i.e., None – 26.2% (n = 101), Low – 42.6% (n = 164), High – 31.2% (n = 120)) were identified. Compared to the None and Low groups, patients in the High group were more likely to be younger. Higher proportions in the High group were non-White, pre-menopausal prior to surgery, had more advanced stage disease, had received an axillary lymph node dissection, had received neoadjuvant chemotherapy, had received adjuvant chemotherapy, and had a re-excision or mastectomy on the affected breast within 6 months after surgery. In addition, these patients had lower quality of life scores. Compared to the None group, the High group had higher levels of trait and state anxiety, depressive symptoms, fatigue and sleep disturbance and lower levels of cognitive function. CONCLUSIONS: This study provides new knowledge regarding EI profiles among women in the year following breast cancer surgery. The non-modifiable risk factors (e.g., younger age, being non-White, having more advanced stage disease) can inform current screening procedures. The potentially modifiable risk factors can be used to develop interventions to improve employment outcomes of breast cancer patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08583-0. |
format | Online Article Text |
id | pubmed-8327049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83270492021-08-02 Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery Chan, Raymond Javan Cooper, Bruce Gordon, Louisa Hart, Nicolas Tan, Chia Jie Koczwara, Bogda Kober, Kord M. Chan, Alexandre Conley, Yvette P. Paul, Steven M. Miaskowski, Christine BMC Cancer Research PURPOSE: To identify subgroups of female breast cancer patients with distinct self-reported employment interference (EI) profiles and determine which demographic, clinical, and symptom characteristics, and quality of life outcomes were associated with subgroup membership. METHODS: Women with breast cancer (n = 385) were assessed for changes in EI over ten times, from prior to, through 12 months after breast cancer surgery. Latent profile analysis (LPA) was used to identify subgroups of patients with distinct EI profiles. RESULTS: Three distinct EI profiles (i.e., None – 26.2% (n = 101), Low – 42.6% (n = 164), High – 31.2% (n = 120)) were identified. Compared to the None and Low groups, patients in the High group were more likely to be younger. Higher proportions in the High group were non-White, pre-menopausal prior to surgery, had more advanced stage disease, had received an axillary lymph node dissection, had received neoadjuvant chemotherapy, had received adjuvant chemotherapy, and had a re-excision or mastectomy on the affected breast within 6 months after surgery. In addition, these patients had lower quality of life scores. Compared to the None group, the High group had higher levels of trait and state anxiety, depressive symptoms, fatigue and sleep disturbance and lower levels of cognitive function. CONCLUSIONS: This study provides new knowledge regarding EI profiles among women in the year following breast cancer surgery. The non-modifiable risk factors (e.g., younger age, being non-White, having more advanced stage disease) can inform current screening procedures. The potentially modifiable risk factors can be used to develop interventions to improve employment outcomes of breast cancer patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08583-0. BioMed Central 2021-08-02 /pmc/articles/PMC8327049/ /pubmed/34340680 http://dx.doi.org/10.1186/s12885-021-08583-0 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 Chan, Raymond Javan Cooper, Bruce Gordon, Louisa Hart, Nicolas Tan, Chia Jie Koczwara, Bogda Kober, Kord M. Chan, Alexandre Conley, Yvette P. Paul, Steven M. Miaskowski, Christine Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery |
title | Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery |
title_full | Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery |
title_fullStr | Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery |
title_full_unstemmed | Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery |
title_short | Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery |
title_sort | distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327049/ https://www.ncbi.nlm.nih.gov/pubmed/34340680 http://dx.doi.org/10.1186/s12885-021-08583-0 |
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