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Low back pain and widespread pain predict sickness absence among industrial workers

BACKGROUND: The prevalence of musculoskeletal disorders (MSD) in the aluminium industry is high, and there is a considerable work-related fraction. More knowledge about the predictors of sickness absence from MSD in this industry will be valuable in determining strategies for prevention. The aim of...

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Autores principales: Morken, Tone, Riise, Trond, Moen, Bente, Hauge, Signe HV, Holien, Solrun, Langedrag, Anne, Pedersen, Svein, Saue, Inger Lise L, Seljebø, Guri M, Thoppil, Varughese
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC200978/
https://www.ncbi.nlm.nih.gov/pubmed/12956891
http://dx.doi.org/10.1186/1471-2474-4-21
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author Morken, Tone
Riise, Trond
Moen, Bente
Hauge, Signe HV
Holien, Solrun
Langedrag, Anne
Pedersen, Svein
Saue, Inger Lise L
Seljebø, Guri M
Thoppil, Varughese
author_facet Morken, Tone
Riise, Trond
Moen, Bente
Hauge, Signe HV
Holien, Solrun
Langedrag, Anne
Pedersen, Svein
Saue, Inger Lise L
Seljebø, Guri M
Thoppil, Varughese
author_sort Morken, Tone
collection PubMed
description BACKGROUND: The prevalence of musculoskeletal disorders (MSD) in the aluminium industry is high, and there is a considerable work-related fraction. More knowledge about the predictors of sickness absence from MSD in this industry will be valuable in determining strategies for prevention. The aim of this study was to analyse the relative impact of body parts, psychosocial and individual factors as predictors for short- and long-term sickness absence from MSD among industrial workers. METHODS: A follow-up study was conducted among all the workers at eight aluminium plants in Norway. A questionnaire was completed by 5654 workers at baseline in 1998. A total of 3320 of these participated in the follow-up study in 2000. Cox regression analysis was applied to investigate the relative impact of MSD in various parts of the body and of psychosocial and individual factors reported in 1998 on short-term and long-term sickness absence from MSD reported in 2000. RESULTS: MSD accounted for 45% of all working days lost the year prior to follow-up in 2000. Blue-collar workers had significantly higher risk than white-collar workers for both short- and long-term sickness absence from MSD (long-term sickness absence: RR = 3.04, 95% CI 2.08–4.45). Widespread and low back pain in 1998 significantly predicted both short- and long-term sickness absence in 2000. In addition, shoulder pain predicted long-term sickness absence. Low social support predicted short-term sickness absence (RR = 1.28, 95% CI 1.11–1.49). CONCLUSIONS: Reducing sickness absence from MSD among industrial workers requires focusing on the working conditions of blue-collar workers and risk factors for low back pain and widespread pain. Increasing social support in the work environment may have effects in reducing short-term sickness absence from MSD.
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spelling pubmed-2009782003-09-30 Low back pain and widespread pain predict sickness absence among industrial workers Morken, Tone Riise, Trond Moen, Bente Hauge, Signe HV Holien, Solrun Langedrag, Anne Pedersen, Svein Saue, Inger Lise L Seljebø, Guri M Thoppil, Varughese BMC Musculoskelet Disord Research Article BACKGROUND: The prevalence of musculoskeletal disorders (MSD) in the aluminium industry is high, and there is a considerable work-related fraction. More knowledge about the predictors of sickness absence from MSD in this industry will be valuable in determining strategies for prevention. The aim of this study was to analyse the relative impact of body parts, psychosocial and individual factors as predictors for short- and long-term sickness absence from MSD among industrial workers. METHODS: A follow-up study was conducted among all the workers at eight aluminium plants in Norway. A questionnaire was completed by 5654 workers at baseline in 1998. A total of 3320 of these participated in the follow-up study in 2000. Cox regression analysis was applied to investigate the relative impact of MSD in various parts of the body and of psychosocial and individual factors reported in 1998 on short-term and long-term sickness absence from MSD reported in 2000. RESULTS: MSD accounted for 45% of all working days lost the year prior to follow-up in 2000. Blue-collar workers had significantly higher risk than white-collar workers for both short- and long-term sickness absence from MSD (long-term sickness absence: RR = 3.04, 95% CI 2.08–4.45). Widespread and low back pain in 1998 significantly predicted both short- and long-term sickness absence in 2000. In addition, shoulder pain predicted long-term sickness absence. Low social support predicted short-term sickness absence (RR = 1.28, 95% CI 1.11–1.49). CONCLUSIONS: Reducing sickness absence from MSD among industrial workers requires focusing on the working conditions of blue-collar workers and risk factors for low back pain and widespread pain. Increasing social support in the work environment may have effects in reducing short-term sickness absence from MSD. BioMed Central 2003-09-04 /pmc/articles/PMC200978/ /pubmed/12956891 http://dx.doi.org/10.1186/1471-2474-4-21 Text en Copyright © 2003 Morken et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Morken, Tone
Riise, Trond
Moen, Bente
Hauge, Signe HV
Holien, Solrun
Langedrag, Anne
Pedersen, Svein
Saue, Inger Lise L
Seljebø, Guri M
Thoppil, Varughese
Low back pain and widespread pain predict sickness absence among industrial workers
title Low back pain and widespread pain predict sickness absence among industrial workers
title_full Low back pain and widespread pain predict sickness absence among industrial workers
title_fullStr Low back pain and widespread pain predict sickness absence among industrial workers
title_full_unstemmed Low back pain and widespread pain predict sickness absence among industrial workers
title_short Low back pain and widespread pain predict sickness absence among industrial workers
title_sort low back pain and widespread pain predict sickness absence among industrial workers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC200978/
https://www.ncbi.nlm.nih.gov/pubmed/12956891
http://dx.doi.org/10.1186/1471-2474-4-21
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