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Musculoskeletal pain as a predictor for depression in the general working population of Denmark
Aim: This study examines the association between musculoskeletal complaints and subsequent use of antidepressants and/or psychiatric hospital treatment for depressive mood disorders in the Danish labour force. Methods: The study is based on two cohorts. The first cohort is the total labour force in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512271/ https://www.ncbi.nlm.nih.gov/pubmed/31969068 http://dx.doi.org/10.1177/1403494819875337 |
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author | Hannerz, Harald Holtermann, Andreas Madsen, Ida Elisabeth Huitfeldt |
author_facet | Hannerz, Harald Holtermann, Andreas Madsen, Ida Elisabeth Huitfeldt |
author_sort | Hannerz, Harald |
collection | PubMed |
description | Aim: This study examines the association between musculoskeletal complaints and subsequent use of antidepressants and/or psychiatric hospital treatment for depressive mood disorders in the Danish labour force. Methods: The study is based on two cohorts. The first cohort is the total labour force in 21 Danish municipalities (n=693,860), where the risk of depression (psychiatric diagnosis or antidepressant treatment) during 2010–2015 was compared between individuals on long-term sickness absence due to musculoskeletal disorders (MSD) and non-sick-listed gainfully employed individuals. The second cohort is a random sample of the Danish labour force (n=9248) who were followed during 2011–2015 to estimate the association between self-rated musculoskeletal pain and depression. All analyses were controlled for age, sex, calendar period and socio-economic status. Results: Compared to non-sick-listed gainfully employed individuals, there was an increased risk of depression in individuals sick-listed with MSD, with rate ratios of 2.39 (99% confidence interval (CI) 2.22–2.58) for individuals with less severe MSD and 4.27 (99% CI 3.98–4.59) for individuals with more severe MSD. There was also an increased risk of depression associated with self-rated pain (yes vs. no), with a rate ratio of 2.17 (99% CI 1.69–2.78). The population attributable fraction of depression from musculoskeletal pain was 0.35 (99% CI 0.24–0.45). Conclusions: The results of the present study indicate that musculoskeletal pain is an important predictor of indicators of depression in the general working population of Denmark. |
format | Online Article Text |
id | pubmed-8512271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-85122712021-10-14 Musculoskeletal pain as a predictor for depression in the general working population of Denmark Hannerz, Harald Holtermann, Andreas Madsen, Ida Elisabeth Huitfeldt Scand J Public Health Depressive Symptoms: Predictors and Explanations Aim: This study examines the association between musculoskeletal complaints and subsequent use of antidepressants and/or psychiatric hospital treatment for depressive mood disorders in the Danish labour force. Methods: The study is based on two cohorts. The first cohort is the total labour force in 21 Danish municipalities (n=693,860), where the risk of depression (psychiatric diagnosis or antidepressant treatment) during 2010–2015 was compared between individuals on long-term sickness absence due to musculoskeletal disorders (MSD) and non-sick-listed gainfully employed individuals. The second cohort is a random sample of the Danish labour force (n=9248) who were followed during 2011–2015 to estimate the association between self-rated musculoskeletal pain and depression. All analyses were controlled for age, sex, calendar period and socio-economic status. Results: Compared to non-sick-listed gainfully employed individuals, there was an increased risk of depression in individuals sick-listed with MSD, with rate ratios of 2.39 (99% confidence interval (CI) 2.22–2.58) for individuals with less severe MSD and 4.27 (99% CI 3.98–4.59) for individuals with more severe MSD. There was also an increased risk of depression associated with self-rated pain (yes vs. no), with a rate ratio of 2.17 (99% CI 1.69–2.78). The population attributable fraction of depression from musculoskeletal pain was 0.35 (99% CI 0.24–0.45). Conclusions: The results of the present study indicate that musculoskeletal pain is an important predictor of indicators of depression in the general working population of Denmark. SAGE Publications 2020-01-23 2021-08 /pmc/articles/PMC8512271/ /pubmed/31969068 http://dx.doi.org/10.1177/1403494819875337 Text en © Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Depressive Symptoms: Predictors and Explanations Hannerz, Harald Holtermann, Andreas Madsen, Ida Elisabeth Huitfeldt Musculoskeletal pain as a predictor for depression in the general working population of Denmark |
title | Musculoskeletal pain as a predictor for depression in the general
working population of Denmark |
title_full | Musculoskeletal pain as a predictor for depression in the general
working population of Denmark |
title_fullStr | Musculoskeletal pain as a predictor for depression in the general
working population of Denmark |
title_full_unstemmed | Musculoskeletal pain as a predictor for depression in the general
working population of Denmark |
title_short | Musculoskeletal pain as a predictor for depression in the general
working population of Denmark |
title_sort | musculoskeletal pain as a predictor for depression in the general
working population of denmark |
topic | Depressive Symptoms: Predictors and Explanations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512271/ https://www.ncbi.nlm.nih.gov/pubmed/31969068 http://dx.doi.org/10.1177/1403494819875337 |
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