open access

Vol 68, No 4 (2017)
Original article
Submitted: 2017-10-12
Accepted: 2017-12-13
Published online: 2017-12-22
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Fatigue and workload among Danish fishermen

Line Nørgaard Remmen1, Kimmo Herttua2, Jørgen Riss-Jepsen3, Gabriele Berg-Beckhoff1
DOI: 10.5603/IMH.2017.0044
·
Pubmed: 29297577
·
International Maritime Health 2017;68(4):252-259.
Affiliations
  1. Department of Public Health - Unit for Health Promotion, Univesity of Southern Denmark, Niels Bohrs Vej 9, 6700 Esbjerg, Denmark
  2. Centre of Maritime Health and Society, University of Southern Denmark, Niels Bohrs Vej 9, 6700 Esbjerg, Denmark
  3. Department of Occupational Medicine, Hospital of Southwestern Denmark, Denmark

open access

Vol 68, No 4 (2017)
MARITIME PSYCHOLOGY Original article
Submitted: 2017-10-12
Accepted: 2017-12-13
Published online: 2017-12-22

Abstract

Background: Fishery is a hazardous occupation and fatigue may contribute to the observed risks. This study aims to investigate the association between workload and fatigue among Danish fishermen. Materials and methods: The cross-sectional survey of demographic characteristics and self-reported exposure and health data was performed on a random sample of 270 active fishermen. We applied the validated Multidimensional Fatigue Inventory (MFI-20) to assess the degrees of the different dimensions of perceived fatigue. We estimated physical workload using questions regarding the frequency of seven physical work activities and analysed the association between fatigue and workload using multiple linear regressions. Results: The mean fatigue scores were 9.18 (SD 3.58) for general fatigue, 9.05 (SD 3.36) for physical fatigue, 7.57 (SD 3.03) for reduced activity and 7.16 (SD 3.07) for mental fatigue. Highest levels of fatigue were observed among fishermen at Danish seiners (mean 10.21), and fatigue scores decreased with more days at sea. However, none of these results were significant. Adjusted analyses showed that physical workload was significantly related to general fatigue (b = 0.20, 95% CI: 0.12–0.28), physical fatigue (b = 0.10, 95% CI: 0.04–0.16) and mental fatigue (b = 0.09, 95% CI: 0.01–0.16). Reduced activity was unrelated to work exposures. Conclusions: General fatigue was the dominant fatigue dimension among Danish fishermen and it is mostly associated with physical workload. Physical workload was additionally significantly associated to the levels of physical and mental fatigue. Fishermen had a lower average score for all fatigue dimensions compared to those seen in general Danish working population. Prospective studies are required to assess whether the identified associations are causal.

Abstract

Background: Fishery is a hazardous occupation and fatigue may contribute to the observed risks. This study aims to investigate the association between workload and fatigue among Danish fishermen. Materials and methods: The cross-sectional survey of demographic characteristics and self-reported exposure and health data was performed on a random sample of 270 active fishermen. We applied the validated Multidimensional Fatigue Inventory (MFI-20) to assess the degrees of the different dimensions of perceived fatigue. We estimated physical workload using questions regarding the frequency of seven physical work activities and analysed the association between fatigue and workload using multiple linear regressions. Results: The mean fatigue scores were 9.18 (SD 3.58) for general fatigue, 9.05 (SD 3.36) for physical fatigue, 7.57 (SD 3.03) for reduced activity and 7.16 (SD 3.07) for mental fatigue. Highest levels of fatigue were observed among fishermen at Danish seiners (mean 10.21), and fatigue scores decreased with more days at sea. However, none of these results were significant. Adjusted analyses showed that physical workload was significantly related to general fatigue (b = 0.20, 95% CI: 0.12–0.28), physical fatigue (b = 0.10, 95% CI: 0.04–0.16) and mental fatigue (b = 0.09, 95% CI: 0.01–0.16). Reduced activity was unrelated to work exposures. Conclusions: General fatigue was the dominant fatigue dimension among Danish fishermen and it is mostly associated with physical workload. Physical workload was additionally significantly associated to the levels of physical and mental fatigue. Fishermen had a lower average score for all fatigue dimensions compared to those seen in general Danish working population. Prospective studies are required to assess whether the identified associations are causal.
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Keywords

commercial fishing, fatigue dimensions, work conditions, Multidimensional Fatigue Inventory, MFI-20, occupational health

About this article
Title

Fatigue and workload among Danish fishermen

Journal

International Maritime Health

Issue

Vol 68, No 4 (2017)

Article type

Original article

Pages

252-259

Published online

2017-12-22

DOI

10.5603/IMH.2017.0044

Pubmed

29297577

Bibliographic record

International Maritime Health 2017;68(4):252-259.

Keywords

commercial fishing
fatigue dimensions
work conditions
Multidimensional Fatigue Inventory
MFI-20
occupational health

Authors

Line Nørgaard Remmen
Kimmo Herttua
Jørgen Riss-Jepsen
Gabriele Berg-Beckhoff

References (35)
  1. Laursen LH, Hansen HL, Jensen OC. Fatal occupational accidents in Danish fishing vessels 1989-2005. Int J Inj Contr Saf Promot. 2008; 15(2): 109–117.
  2. Kaerlev L, Jensen A, Hannerz H. Surveillance of hospital contacts among Danish seafarers and fishermen with focus on skin and infectious diseases-a population-based cohort study. Int J Environ Res Public Health. 2014; 11(11): 11931–11949.
  3. Kaerlev L, Dahl S, Nielsen PS, et al. Hospital contacts for chronic diseases among danish seafarers and fishermen: a population-based cohort study. Scand J Public Health. 2007; 35(5): 481–489.
  4. Jensen OCC, Petursdottir G, Holmen IM, et al. A review of fatal accident incidence rate trends in fishing. Int Marit Health. 2014; 65(2): 47–52.
  5. Chauvin C, Le Bouar G, Lardjane S. Analysis of occupational injuries in the sea fishing industry according to the type of fishery and the fishing activity. Int Marit Health. 2017; 68(1): 31–38.
  6. Roberts SE. Britain's most hazardous occupation: commercial fishing. Accid Anal Prev. 2010; 42(1): 44–49.
  7. Jaremin B, Kotulak E. Mortality in the Polish small-scale fishing industry. Occup Med (Lond). 2004; 54(4): 258–260.
  8. Roberts SE. Occupational mortality in British commercial fishing, 1976-95. Occup Environ Med. 2004; 61(1): 16–23.
  9. Grøn S, Rasmussen HB, Poulsen TR, Christensen FN. Safety in Danish fishing industry. Centre of Maritime Health and Society Esbjerg, 2014.
  10. Törner M, Almström C, Karlsson R, et al. Working on a moving surface--a biomechanical analysis of musculo-skeletal load due to ship motions in combination with work. Ergonomics. 1994; 37(2): 345–362.
  11. Jepsen JR, Zhao Z, van Leeuwen WMA. Seafarer fatigue: a review of risk factors, consequences for seafarers' health and safety and options for mitigation. Int Marit Health. 2015; 66(2): 106–117.
  12. A Høvdanum AS, Jensen OC, Petursdóttir G, et al. A review of fatigue in fishermen: a complicated and underprioritised area of research. Int Marit Health. 2014; 65(3): 166–172.
  13. International Maritime Organization. Guidance on fatigue mitigation and management. International Maritim Organization London, 2001.
  14. Allen P, Wellens B, Smith A. Fatigue in British fishermen. Int Marit Health. 2010; 62(3): 154–158.
  15. Gander P, van den Berg M, Signal L. Sleep and sleepiness of fishermen on rotating schedules. Chronobiol Int. 2008; 25(2): 389–398.
  16. Sąlyga J, Kušleikaitė M. Factors influencing psychoemotional strain and fatigue, and relationship of these factors with health complaints at sea among Lithuanian seafarers. Medicina (Kaunas). 2011; 47(12): 675–681.
  17. Østergaard H, Jepsen JR, Berg-Beckhoff G. The workload of fishermen: a cross sectional survey among Danish commercial fishermen. Int Marit Health. 2016; 67(2): 97–103.
  18. von Elm E, Altman DG, Egger M, et al. STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008; 61(4): 344–349.
  19. Boter H, Mänty M, Hansen AM, et al. Self-reported fatigue and physical function in late mid-life. J Rehabil Med. 2014; 46(7): 684–690.
  20. Smets EM, Garssen B, Bonke B, et al. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995; 39(3): 315–325.
  21. Watt T, Groenvold M, Bjorner JB, et al. Fatigue in the Danish general population. Influence of sociodemographic factors and disease. J Epidemiol Community Health. 2000; 54(11): 827–833.
  22. Santos JRA. Cronbach’s Alpha: A Tool for Assessing the Reliability of Scales. J Ext. 1999; 37(2).
  23. Holtermann A, Jørgensen MB, Gram B, et al. Worksite interventions for preventing physical deterioration among employees in job-groups with high physical work demands: background, design and conceptual model of FINALE. BMC Public Health. 2010; 10: 120.
  24. Szcklo M, Nieto F. Epidemiology: Beyond the Basics. 2. edition. Jones and Bartlett Publishers, Massachusetts 2012.
  25. Christiansen JM, Carlsbæk AB. Fiskere i krydspres. Centre of Maritime Health and Society Esbjerg, 2015.
  26. Punnett L. Adjusting for the healthy worker selection effect in cross-sectional studies. Int J Epidemiol. 1996; 25(5): 1068–1076.
  27. Christiansen J, Carlsbæk A. Fiskerne der forsvandt. Centre of Maritime Health and Society Esbjerg, 2015.
  28. Akerstedt T, Knutsson A, Westerholm P, et al. Mental fatigue, work and sleep. J Psychosom Res. 2004; 57(5): 427–433.
  29. Hystad SW, Saus ER, Sætrevik B, et al. Fatigue in seafarers working in the offshore oil and gas re-supply industry: effects of safety climate, psychosocial work environment and shift arrangement. Int Marit Health. 2013; 64(2): 72–79.
  30. Ahsberg E. Dimensions of fatigue in different working populations. Scand J Psychol. 2000; 41(3): 231–241.
  31. Akerstedt T, Fredlund P, Gillberg M, et al. Work load and work hours in relation to disturbed sleep and fatigue in a large representative sample. J Psychosom Res. 2002; 53(1): 585–588.
  32. Percin F, Akyol O, Davas A, et al. Occupational health of Turkish Aegean small-scale fishermen. Occup Med (Lond). 2012; 62(2): 148–151.
  33. Jensen OC. Work related injuries in Danish fishermen. Occup Med (Lond). 1996; 46(6): 414–420.
  34. Deutskens E, Ruyter Kode, Wetzels M, et al. Response Rate and Response Quality of Internet-Based Surveys: An Experimental Study. Mark Lett. 2004; 15(1): 21–36.
  35. Berg-Beckhoff G, Østergaard H, Jepsen JR. Prevalence and predictors of musculoskeletal pain among Danish fishermen - results from a cross-sectional survey. J Occup Med Toxicol. 2016; 11: 51.

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