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Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study
BACKGROUND: The COVID-19 pandemic has caused difficulties and changes in many aspects of people’s health and lives. Although infection affected work capacity, during the first wave policies for sick leave due to COVID-19 were unclear. The aim of this study was to investigate the impact of sick leave...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884157/ https://www.ncbi.nlm.nih.gov/pubmed/36709256 http://dx.doi.org/10.1186/s12889-023-15115-x |
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author | Abzhandadze, Tamar Westerlind, Emma Persson, Hanna C. |
author_facet | Abzhandadze, Tamar Westerlind, Emma Persson, Hanna C. |
author_sort | Abzhandadze, Tamar |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic has caused difficulties and changes in many aspects of people’s health and lives. Although infection affected work capacity, during the first wave policies for sick leave due to COVID-19 were unclear. The aim of this study was to investigate the impact of sick leave diagnoses in the year before the COVID-19 diagnosis on sick leave duration due to COVID-19 in a nationwide non-hospitalised population. METHODS: Data from three Swedish registries were analysed for sick leave commencing between 1 March and 31 August 2020, with a follow-up period of 4 months. Sick leave due to COVID-19 was considered the number of days that sickness benefits were used and included at least one registered COVID-19 diagnosis. Sick leave in the year before COVID-19 diagnosis were categorised into five diagnostic groups and one reference group (participants without prior sick leave). RESULTS: The study comprised 8935 individuals who received sickness benefits due to COVID-19 in Sweden during the first pandemic wave (mean age 46.7 years, 67% females, and 24% had diagnoses for sick leave in the year before COVID-19 diagnosis). The duration of sick leave due to COVID-19 was significantly higher in the groups with prior sick leave owing to musculoskeletal system diseases (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 1.01–1.15); respiratory system diseases (OR: 1.22, 95% CI: 1.14–1.31); all other isolated diagnoses (OR: 1.08, 95% CI: 1.03–1.14); and multiple diagnoses (OR: 1.32, 95% CI: 1.21–1.43). CONCLUSIONS: The results of this nationwide registry-based study indicate that individuals with premorbid conditions are more prone to longer sick leave durations due to COVID-19. Prediction of sick leave duration during the first wave of the COVID-19 pandemic is complex and several factors played a role. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15115-x. |
format | Online Article Text |
id | pubmed-9884157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98841572023-01-30 Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study Abzhandadze, Tamar Westerlind, Emma Persson, Hanna C. BMC Public Health Research BACKGROUND: The COVID-19 pandemic has caused difficulties and changes in many aspects of people’s health and lives. Although infection affected work capacity, during the first wave policies for sick leave due to COVID-19 were unclear. The aim of this study was to investigate the impact of sick leave diagnoses in the year before the COVID-19 diagnosis on sick leave duration due to COVID-19 in a nationwide non-hospitalised population. METHODS: Data from three Swedish registries were analysed for sick leave commencing between 1 March and 31 August 2020, with a follow-up period of 4 months. Sick leave due to COVID-19 was considered the number of days that sickness benefits were used and included at least one registered COVID-19 diagnosis. Sick leave in the year before COVID-19 diagnosis were categorised into five diagnostic groups and one reference group (participants without prior sick leave). RESULTS: The study comprised 8935 individuals who received sickness benefits due to COVID-19 in Sweden during the first pandemic wave (mean age 46.7 years, 67% females, and 24% had diagnoses for sick leave in the year before COVID-19 diagnosis). The duration of sick leave due to COVID-19 was significantly higher in the groups with prior sick leave owing to musculoskeletal system diseases (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 1.01–1.15); respiratory system diseases (OR: 1.22, 95% CI: 1.14–1.31); all other isolated diagnoses (OR: 1.08, 95% CI: 1.03–1.14); and multiple diagnoses (OR: 1.32, 95% CI: 1.21–1.43). CONCLUSIONS: The results of this nationwide registry-based study indicate that individuals with premorbid conditions are more prone to longer sick leave durations due to COVID-19. Prediction of sick leave duration during the first wave of the COVID-19 pandemic is complex and several factors played a role. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15115-x. BioMed Central 2023-01-29 /pmc/articles/PMC9884157/ /pubmed/36709256 http://dx.doi.org/10.1186/s12889-023-15115-x Text en © The Author(s) 2023 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 Abzhandadze, Tamar Westerlind, Emma Persson, Hanna C. Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study |
title | Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study |
title_full | Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study |
title_fullStr | Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study |
title_full_unstemmed | Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study |
title_short | Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study |
title_sort | impact of pre-pandemic sick leave diagnoses on the length of covid-19-related sick leave: a nationwide registry-based study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884157/ https://www.ncbi.nlm.nih.gov/pubmed/36709256 http://dx.doi.org/10.1186/s12889-023-15115-x |
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