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Recurrent pain and work disability: a record linkage study
PURPOSE: We examined the associations between recurrent single- and multisite pain and incident sickness absence (SA) of different lengths and the risk of disability pension (DP). METHODS: The data were derived from the Finnish Helsinki Health Study. Pain measures were recorded for panel 1 in 2000/2...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118055/ https://www.ncbi.nlm.nih.gov/pubmed/31781902 http://dx.doi.org/10.1007/s00420-019-01494-5 |
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author | Lallukka, Tea Hiilamo, Aapo Oakman, Jodi Mänty, Minna Pietiläinen, Olli Rahkonen, Ossi Kouvonen, Anne Halonen, Jaana I. |
author_facet | Lallukka, Tea Hiilamo, Aapo Oakman, Jodi Mänty, Minna Pietiläinen, Olli Rahkonen, Ossi Kouvonen, Anne Halonen, Jaana I. |
author_sort | Lallukka, Tea |
collection | PubMed |
description | PURPOSE: We examined the associations between recurrent single- and multisite pain and incident sickness absence (SA) of different lengths and the risk of disability pension (DP). METHODS: The data were derived from the Finnish Helsinki Health Study. Pain measures were recorded for panel 1 in 2000/2 and 2007, and for panel 2 in 2007 and 2012 (altogether 3191 employees). SA data were obtained from the employer’s personnel register and DP events from the Finnish Centre for Pensions. Negative binomial regression models with generalized estimation equations were used to model the incidence of self-certified short- (1–3 days), and medically certified medium- (4–14 days) and long-term (more than 14 days) SA episodes. Cox regression models were fitted for the associations between pain and all-cause DP and competing risk models for DP by diagnostic groups. Social and health-related covariates were adjusted for. RESULTS: Recurrent pain was associated with short-, medium- and long-term SA. Additionally, recurrent single- and multisite pain increased the risk of long-term SA. Recurrent single or multisite pain was further associated with an increased risk of DP, while a single instance of pain did not increase the risk. CONCLUSIONS: These results suggest that recurrent pain is a robust determinant of subsequent SA and DP risk. Improved understanding of determinants of recurrent pain is needed to inform the development of targeted measures to reduce SA and premature exit from employment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00420-019-01494-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7118055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-71180552020-04-06 Recurrent pain and work disability: a record linkage study Lallukka, Tea Hiilamo, Aapo Oakman, Jodi Mänty, Minna Pietiläinen, Olli Rahkonen, Ossi Kouvonen, Anne Halonen, Jaana I. Int Arch Occup Environ Health Original Article PURPOSE: We examined the associations between recurrent single- and multisite pain and incident sickness absence (SA) of different lengths and the risk of disability pension (DP). METHODS: The data were derived from the Finnish Helsinki Health Study. Pain measures were recorded for panel 1 in 2000/2 and 2007, and for panel 2 in 2007 and 2012 (altogether 3191 employees). SA data were obtained from the employer’s personnel register and DP events from the Finnish Centre for Pensions. Negative binomial regression models with generalized estimation equations were used to model the incidence of self-certified short- (1–3 days), and medically certified medium- (4–14 days) and long-term (more than 14 days) SA episodes. Cox regression models were fitted for the associations between pain and all-cause DP and competing risk models for DP by diagnostic groups. Social and health-related covariates were adjusted for. RESULTS: Recurrent pain was associated with short-, medium- and long-term SA. Additionally, recurrent single- and multisite pain increased the risk of long-term SA. Recurrent single or multisite pain was further associated with an increased risk of DP, while a single instance of pain did not increase the risk. CONCLUSIONS: These results suggest that recurrent pain is a robust determinant of subsequent SA and DP risk. Improved understanding of determinants of recurrent pain is needed to inform the development of targeted measures to reduce SA and premature exit from employment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00420-019-01494-5) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-11-28 2020 /pmc/articles/PMC7118055/ /pubmed/31781902 http://dx.doi.org/10.1007/s00420-019-01494-5 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Lallukka, Tea Hiilamo, Aapo Oakman, Jodi Mänty, Minna Pietiläinen, Olli Rahkonen, Ossi Kouvonen, Anne Halonen, Jaana I. Recurrent pain and work disability: a record linkage study |
title | Recurrent pain and work disability: a record linkage study |
title_full | Recurrent pain and work disability: a record linkage study |
title_fullStr | Recurrent pain and work disability: a record linkage study |
title_full_unstemmed | Recurrent pain and work disability: a record linkage study |
title_short | Recurrent pain and work disability: a record linkage study |
title_sort | recurrent pain and work disability: a record linkage study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118055/ https://www.ncbi.nlm.nih.gov/pubmed/31781902 http://dx.doi.org/10.1007/s00420-019-01494-5 |
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