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Published in: International Archives of Occupational and Environmental Health 8/2019

Open Access 01-11-2019 | Musculoskeletal Pain | Original Article

Sick leave due to musculoskeletal pain: determinants of distinct trajectories over 1 year

Authors: David M. Hallman, Andreas Holtermann, Martin Björklund, Nidhi Gupta, Charlotte D. Nørregaard Rasmussen

Published in: International Archives of Occupational and Environmental Health | Issue 8/2019

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Abstract

Purpose

This study aimed to identify sub-groups of workers with different trajectories of sick leave due to musculoskeletal pain over 1 year, and to investigate the extent to which the identified trajectories are associated with personal, occupational, lifestyle, and pain-related factors at baseline.

Methods

Data on 981 blue- and white-collar workers were analyzed in the DPHACTO cohort (2012–2014). The number of days on sick leave due to pain was reported using text messages at 4-week intervals across 1 year. Latent class growth analysis was used to distinguish sub-groups with different trajectories of sick leave. A web-based questionnaire at baseline was used to assess personal, occupational (physical and psychosocial), lifestyle, and pain-related factors. Multinomial regression models were constructed to determine associations between baseline factors and trajectories of sick leave (referencing no sick leave), with adjustment for potential confounders.

Results

Four distinct sub-groups were identified, with trajectories of sick leave due to pain ranging from no sick leave (prevalence 76%; average 0.5 days/year) to some days and increasing sick leave due to pain over 1 year (2%; 89 days/year). The increasing trajectory of sick leave was associated with higher perceived physical exertion, more time in manual work, less social community and influence at work, less leisure-time physical activity, smoking, and more severe symptoms (e.g., multisite pain, low back pain intensity, and pain interference).

Conclusions

We identified four distinct trajectories of sick leave due to musculoskeletal pain. The sub-group with increasing sick leave due to pain was associated with several modifiable physical and psychosocial factors at work and outside work, which may have implications for prevention.
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Literature
go back to reference Alavinia SM, van den Berg TIJ, van Duivenbooden C, Elders LAM, Burdorf A (2009) Impact of work-related factors, lifestyle, and work ability on sickness absence among Dutch construction workers. Scand J Work Environ Health 35(5):325–333CrossRef Alavinia SM, van den Berg TIJ, van Duivenbooden C, Elders LAM, Burdorf A (2009) Impact of work-related factors, lifestyle, and work ability on sickness absence among Dutch construction workers. Scand J Work Environ Health 35(5):325–333CrossRef
go back to reference Andersen LL, Fallentin N, Thorsen SV, Holtermann A (2016) Physical workload and risk of long-term sickness absence in the general working population and among blue-collar workers: prospective cohort study with register follow-up. Occup Environ Med 73(4):246CrossRef Andersen LL, Fallentin N, Thorsen SV, Holtermann A (2016) Physical workload and risk of long-term sickness absence in the general working population and among blue-collar workers: prospective cohort study with register follow-up. Occup Environ Med 73(4):246CrossRef
go back to reference Ariens GA, Bongers PM, Hoogendoorn WE, van der Wal G, van Mechelen W (2002) High physical and psychosocial load at work and sickness absence due to neck pain. Scand J Work Environ Health 28(4):222–231CrossRef Ariens GA, Bongers PM, Hoogendoorn WE, van der Wal G, van Mechelen W (2002) High physical and psychosocial load at work and sickness absence due to neck pain. Scand J Work Environ Health 28(4):222–231CrossRef
go back to reference Borg G (1998) Borg’s percieved exertion and pain scales. Human Kinetics, Champaign Borg G (1998) Borg’s percieved exertion and pain scales. Human Kinetics, Champaign
go back to reference Fredriksson K, Toomingas A, Torgen M, Thorbjornsson CB, Kilbom A (1998) Validity and reliability of self-reported retrospectively collected data on sick leave related to musculoskeletal diseases. Scand J Work Environ Health 24(5):425–431CrossRef Fredriksson K, Toomingas A, Torgen M, Thorbjornsson CB, Kilbom A (1998) Validity and reliability of self-reported retrospectively collected data on sick leave related to musculoskeletal diseases. Scand J Work Environ Health 24(5):425–431CrossRef
go back to reference Haukka E et al (2014) Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens. Scand J Work Environ Health 40(3):278–286CrossRef Haukka E et al (2014) Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens. Scand J Work Environ Health 40(3):278–286CrossRef
go back to reference Hogg-Johnson S et al (2009) The burden and determinants of neck pain in the general population: results of the bone and joint decade 2000–2010 task force on neck pain and its associated disorders. J Manip Physiol Ther 32(2, Supplement 1):S46–S60CrossRef Hogg-Johnson S et al (2009) The burden and determinants of neck pain in the general population: results of the bone and joint decade 2000–2010 task force on neck pain and its associated disorders. J Manip Physiol Ther 32(2, Supplement 1):S46–S60CrossRef
go back to reference Holtermann A, Hansen JV, Burr H, Sogaard K (2010) Prognostic factors for long-term sickness absence among employees with neck-shoulder and low-back pain. Scand J Work Environ Health 36(1):34–41CrossRef Holtermann A, Hansen JV, Burr H, Sogaard K (2010) Prognostic factors for long-term sickness absence among employees with neck-shoulder and low-back pain. Scand J Work Environ Health 36(1):34–41CrossRef
go back to reference Pekkala J, Rahkonen O, Pietiläinen O, Lahelma E, Blomgren J (2018) Sickness absence due to different musculoskeletal diagnoses by occupational class: a register-based study among 1.2 million Finnish employees. Occup Environ Med 75:296–302CrossRef Pekkala J, Rahkonen O, Pietiläinen O, Lahelma E, Blomgren J (2018) Sickness absence due to different musculoskeletal diagnoses by occupational class: a register-based study among 1.2 million Finnish employees. Occup Environ Med 75:296–302CrossRef
go back to reference Shiri R, Falah-Hassani K (2017) Does leisure time physical activity protect against low back pain? Systematic review and meta-analysis of 36 prospective cohort studies. Br J Sports Med 51:1410–1418CrossRef Shiri R, Falah-Hassani K (2017) Does leisure time physical activity protect against low back pain? Systematic review and meta-analysis of 36 prospective cohort studies. Br J Sports Med 51:1410–1418CrossRef
go back to reference Stapelfeldt CM, Jensen C, Andersen NT, Fleten N, Nielsen CV (2012) Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality. BMC Public Health 12(1):661. https://doi.org/10.1186/1471-2458-12-661 CrossRef Stapelfeldt CM, Jensen C, Andersen NT, Fleten N, Nielsen CV (2012) Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality. BMC Public Health 12(1):661. https://​doi.​org/​10.​1186/​1471-2458-12-661 CrossRef
go back to reference Steenstra IA, Verbeek JH, Heymans MW, Bongers PM (2005) Prognostic factors for duration of sick leave in patients sick listed with acute low back pain: a systematic review of the literature. Occup Environ Med 62(12):851CrossRef Steenstra IA, Verbeek JH, Heymans MW, Bongers PM (2005) Prognostic factors for duration of sick leave in patients sick listed with acute low back pain: a systematic review of the literature. Occup Environ Med 62(12):851CrossRef
go back to reference Sullivan M, Karlsson J, Ware JE (1995) The Swedish SF-36 Health Survey: I. Evaluation of data quality, scaling assumptions, reliability and construct validity across general populations in Sweden. Soc Sci Med 41(10):1349–1358CrossRef Sullivan M, Karlsson J, Ware JE (1995) The Swedish SF-36 Health Survey: I. Evaluation of data quality, scaling assumptions, reliability and construct validity across general populations in Sweden. Soc Sci Med 41(10):1349–1358CrossRef
Metadata
Title
Sick leave due to musculoskeletal pain: determinants of distinct trajectories over 1 year
Authors
David M. Hallman
Andreas Holtermann
Martin Björklund
Nidhi Gupta
Charlotte D. Nørregaard Rasmussen
Publication date
01-11-2019
Publisher
Springer Berlin Heidelberg
Published in
International Archives of Occupational and Environmental Health / Issue 8/2019
Print ISSN: 0340-0131
Electronic ISSN: 1432-1246
DOI
https://doi.org/10.1007/s00420-019-01447-y

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