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Part-time work and sickness absence – an organization-level analysis
BACKGROUND: Absenteeism is consistently higher in public than in private organizations, as is the use of part-time employment. The aim of this study is to identify whether there is a relationship between part-time work and sickness absence at the organizational level. METHODS: The data is a six-year...
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/PMC10647031/ https://www.ncbi.nlm.nih.gov/pubmed/37964256 http://dx.doi.org/10.1186/s12889-023-17189-z |
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author | Jacobsen, Dag Ingvar Fjelde, Viktoria |
author_facet | Jacobsen, Dag Ingvar Fjelde, Viktoria |
author_sort | Jacobsen, Dag Ingvar |
collection | PubMed |
description | BACKGROUND: Absenteeism is consistently higher in public than in private organizations, as is the use of part-time employment. The aim of this study is to identify whether there is a relationship between part-time work and sickness absence at the organizational level. METHODS: The data is a six-year panel for the full population of Norwegian municipalities (N = 422), linking objective register data on both part-time employment and sickness absence. Using OLS regression with fixed effects for municipality and time, we estimate the statistical effects of the municipalities’ use of part-time work on sickness absence. RESULTS: The bivariate correlation between percentage position at the municipal level and percentage sickness absence is positive and significant (Pearson’s r = .25, sig LE 0.01). When controlling for fixed effects for municipality and time, as well as municipality economy, municipality size, ratio of female employees in the municipality and characteristics of the general population, the multivariate regression coefficient is still positive but insignificant (coefficient = 1.56, robust standard error = 1.31). CONCLUSIONS: The main findings are that the organizations’ use of part-time work is unrelated to sickness absence indicating that organizations with extensive use of part-time work do not experience higher levels of absenteeism than those having less extensive use of part-time employees. |
format | Online Article Text |
id | pubmed-10647031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106470312023-11-14 Part-time work and sickness absence – an organization-level analysis Jacobsen, Dag Ingvar Fjelde, Viktoria BMC Public Health Research BACKGROUND: Absenteeism is consistently higher in public than in private organizations, as is the use of part-time employment. The aim of this study is to identify whether there is a relationship between part-time work and sickness absence at the organizational level. METHODS: The data is a six-year panel for the full population of Norwegian municipalities (N = 422), linking objective register data on both part-time employment and sickness absence. Using OLS regression with fixed effects for municipality and time, we estimate the statistical effects of the municipalities’ use of part-time work on sickness absence. RESULTS: The bivariate correlation between percentage position at the municipal level and percentage sickness absence is positive and significant (Pearson’s r = .25, sig LE 0.01). When controlling for fixed effects for municipality and time, as well as municipality economy, municipality size, ratio of female employees in the municipality and characteristics of the general population, the multivariate regression coefficient is still positive but insignificant (coefficient = 1.56, robust standard error = 1.31). CONCLUSIONS: The main findings are that the organizations’ use of part-time work is unrelated to sickness absence indicating that organizations with extensive use of part-time work do not experience higher levels of absenteeism than those having less extensive use of part-time employees. BioMed Central 2023-11-14 /pmc/articles/PMC10647031/ /pubmed/37964256 http://dx.doi.org/10.1186/s12889-023-17189-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Jacobsen, Dag Ingvar Fjelde, Viktoria Part-time work and sickness absence – an organization-level analysis |
title | Part-time work and sickness absence – an organization-level analysis |
title_full | Part-time work and sickness absence – an organization-level analysis |
title_fullStr | Part-time work and sickness absence – an organization-level analysis |
title_full_unstemmed | Part-time work and sickness absence – an organization-level analysis |
title_short | Part-time work and sickness absence – an organization-level analysis |
title_sort | part-time work and sickness absence – an organization-level analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647031/ https://www.ncbi.nlm.nih.gov/pubmed/37964256 http://dx.doi.org/10.1186/s12889-023-17189-z |
work_keys_str_mv | AT jacobsendagingvar parttimeworkandsicknessabsenceanorganizationlevelanalysis AT fjeldeviktoria parttimeworkandsicknessabsenceanorganizationlevelanalysis |