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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...

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Autores principales: Hannerz, Harald, Holtermann, Andreas, Madsen, Ida Elisabeth Huitfeldt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
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.
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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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