Literature DB >> 23111535

Sick leave due to back pain in a cohort of young workers.

A Van Nieuwenhuyse1, A Burdorf, G Crombez, G Verbeke, R Masschelein, Ph Mairiaux, G F Moens.   

Abstract

PURPOSE: Evidence on risk factors for sick leave from prospective studies in work settings is limited. Furthermore, most available studies focused on workers with substantial low back disorders. These studies consistently report that physical work factors constitute a hindrance to work. However, it remains unclear whether the same risk factors are relevant in workers with less severe conditions or in early phases of the development of back pain. Therefore, this article aims to study risk factors for the occurrence of sick leave due to low back pain (LBP) among young workers with no or a modest history of back pain.
METHODS: Participants were 716 young healthcare or distribution workers with no or minimal antecedents of LBP in the year before inclusion. We investigated the role of potential physical, psychosocial and individual risk factors at baseline on the occurrence of sick leave due to LBP 1 year later. To this purpose, we used Cox regression with a constant risk period.
RESULTS: Six per cent (95 % CI 4.1-7.6) of the workers reported sick leave 1 year later; they accounted for 12 % of the sick-leave days independent of cause. A non-stimulating psychosocial work environment turned out to be the strongest risk factor for sick leave due to LBP (RR 6.08; 95 % CI 1.42-26.07). Physical factors were not predictive.
CONCLUSIONS: In the early phases of back pain and in less severe conditions, the main benefit of interventions lies in targeting the organisation and design of jobs to create a challenging professional environment.

Entities:  

Mesh:

Year:  2012        PMID: 23111535     DOI: 10.1007/s00420-012-0824-y

Source DB:  PubMed          Journal:  Int Arch Occup Environ Health        ISSN: 0340-0131            Impact factor:   3.015


  34 in total

1.  The economic burden of back pain in the UK.

Authors:  N Maniadakis; A Gray
Journal:  Pain       Date:  2000-01       Impact factor: 6.961

2.  Measuring sick leave: a comparison of self-reported data on sick leave and data from company records.

Authors:  M N M van Poppel; H C W de Vet; B W Koes; T Smid; L M Bouter
Journal:  Occup Med (Lond)       Date:  2002-12       Impact factor: 1.611

3.  Determinants of sickness absence duration after an occupational back injury in the Belgian population.

Authors:  D Mazina; A-F Donneau; Ph Mairiaux
Journal:  Am J Ind Med       Date:  2012-01-11       Impact factor: 2.214

4.  The differential role of pain, work characteristics and pain-related fear in explaining back pain and sick leave in occupational settings.

Authors:  Els L M Gheldof; Jan Vinck; Johan W S Vlaeyen; Alita Hidding; Geert Crombez
Journal:  Pain       Date:  2005-01       Impact factor: 6.961

5.  Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: what is to be done?

Authors:  M L Thompson; J E Myers; D Kriebel
Journal:  Occup Environ Med       Date:  1998-04       Impact factor: 4.402

6.  Risk factors for sick leave due to low back pain: a prospective study.

Authors:  Florence Tubach; Annette Leclerc; Marie-France Landre; Françoise Pietri-Taleb
Journal:  J Occup Environ Med       Date:  2002-05       Impact factor: 2.162

7.  Risk factors for new episodes of sick leave due to neck or back pain in a working population. A prospective study with an 18-month and a three-year follow-up.

Authors:  Gunnar Bergström; Lennart Bodin; Helena Bertilsson; Irene B Jensen
Journal:  Occup Environ Med       Date:  2006-11-09       Impact factor: 4.402

8.  Risk factors for first-ever low back pain among workers in their first employment.

Authors:  A Van Nieuwenhuyse; L Fatkhutdinova; G Verbeke; D Pirenne; K Johannik; P R Somville; Ph Mairiaux; G F Moens; R Masschelein
Journal:  Occup Med (Lond)       Date:  2004-09-22       Impact factor: 1.611

9.  A cost-of-illness study of back pain in The Netherlands.

Authors:  Maurits W van Tulder; Bart W Koes; Lex M Bouter
Journal:  Pain       Date:  1995-08       Impact factor: 6.961

Review 10.  A meta-analysis of observational studies identifies predictors of sickness absence.

Authors:  Saskia F A Duijts; Ijmert Kant; Gerard M H Swaen; Piet A van den Brandt; Maurice P A Zeegers
Journal:  J Clin Epidemiol       Date:  2007-08-23       Impact factor: 6.437

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  1 in total

1.  Using Shoulder Straps Decreases Heart Rate Variability and Salivary Cortisol Concentration in Swedish Ambulance Personnel.

Authors:  Kåre J Karlsson; Patrik H Niemelä; Anders R Jonsson; Carl-Johan A Törnhage
Journal:  Saf Health Work       Date:  2015-10-28
  1 in total

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