Annals of Occupational and Environmental Medicine

  • Volume 34
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  • Pages.23.1-23.14
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  • 2022
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  • 1225-3618(pISSN)
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  • 2052-4374(eISSN)
The Korean Society of Occupational & Environmental Medicine (대한직업환경의학회)
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Population attributable fraction of indicators for musculoskeletal diseases: a cross-sectional study of fishers in Korea

  • Jaehoo Lee (Department of Occupational and Environmental Medicine, Chosun University Hospital) ;
  • Bohyun Sim (Department of Occupational and Environmental Medicine, Chosun University Hospital) ;
  • Bonggyun Ju (Department of Occupational and Environmental Medicine, Chosun University Hospital) ;
  • Chul Gab Lee (Department of Occupational and Environmental Medicine, Chosun University Hospital) ;
  • Ki-Soo Park (Department of Preventive Medicine, College of Medicine and Institute of Health Science, Gyeongsang National University) ;
  • Mi-Ji Kim (Department of Preventive Medicine, College of Medicine and Institute of Health Science, Gyeongsang National University) ;
  • Jeong Ho Kim (Department of Occupational and Environmental Medicine & Institute of Environmental and Occupational Medicine, Inje University Busan Paik Hospital) ;
  • Kunhyung Kim (Department of Occupational and Environmental Medicine & Institute of Environmental and Occupational Medicine, Inje University Busan Paik Hospital) ;
  • Hansoo Song (Department of Occupational and Environmental Medicine, Chosun University Hospital)
  • Received : 2022.04.22
  • Accepted : 2022.08.12
  • Published : 2022.12.31
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Abstract

Background: The musculoskeletal disease (MSD) burden is an important health problem among Korean fishers. We aimed to investigate the indicators of the prevalence of MSD and contributions of significant indicators to MSD in Korean fishers. Methods: This cross-section study included 927 fishers (male, 371; female, 556) aged 40 to 79 years who were enrolled from 3 fishery safety and health centers. The outcome variable was one-year prevalence of MSD in 5 body parts (the neck, shoulder, hand, back, and knee). Independent variables were sex, age, educational attainment, household income, job classification, employment xlink:type, hazardous working environment (cold, heat, and noise), ergonomic risk by the 5 body parts, anxiety disorder, depression, hypertension, diabetes, and hyperlipidemia. The adjusted odds ratio of MSDs by the 5 body parts were calculated using multiple logistic regression analysis. We computed the population attributable fraction (PAF) for each indicators of MSDs using binary regression models. Results: The one-year prevalence of MSD in the neck, shoulder, hand, back, and knee was 7.8%, 17.8%, 7.8%, 27.2%, and 16.2% in males vs. 16.4%, 28.1%, 23.0%, 38.7%, and 30.0% in females, respectively. The ergonomic risk PAF according to the body parts ranged from 22.8%-59.6% in males and 22.8%-50.3% in female. Mental diseases showed a significant PAF for all body parts only among female (PAF 9.1%-21.4%). Cold exposure showed a significant PAF for the neck, shoulder, and hand MSD only among female (25.6%-26.8%). Age was not a significant indicator except for the knee MSD among female. Conclusions: Ergonomic risk contributed majorly as indicators of MSDs in both sexes of fishers. Mental disease and cold exposure were indicators of MSDs only among female fishers. This information may be important for determining priority risk groups for the prevention of work-related MSD among Korean fishers.

Keywords

Acknowledgement

The authors thank the Ministry of Oceans and Fisheries Affairs of the Republic of Korea.

References

  1. Kim YE, Park H, Jo MW, Oh IH, Go DS, Jung J, et al. Trends and patterns of burden of disease and injuries in Korea using disability-adjusted life years. J Korean Med Sci 2019;34(Suppl 1):e75.
  2. Oh IH, Yoon SJ, Seo HY, Kim EJ, Kim YA. The economic burden of musculoskeletal disease in Korea: a cross sectional study. BMC Musculoskelet Disord 2011;12(1):157.
  3. Park J, Kim Y, Han B. Work sectors with high risk for work-related musculoskeletal disorders in Korean men and women. Saf Health Work 2018;9(1):75-8. https://doi.org/10.1016/j.shaw.2017.06.005
  4. Seok H, Choi SJ, Yoon JH, Song GG, Won JU, Kim JH, et al. the association between osteoarthritis and occupational clusters in the Korean population: a nationwide study. PLoS One 2017;12(1):e0170229.
  5. Berg-Beckhoff G, Ostergaard H, Jepsen JR. Prevalence and predictors of musculoskeletal pain among Danish fishermen - results from a cross-sectional survey. J Occup Med Toxicol 2016;11(1):51.
  6. 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):11931-49. https://doi.org/10.3390/ijerph111111931
  7. Hong C, Lee CG, Song H. Characteristics of lumbar disc degeneration and risk factors for collapsed lumbar disc in Korean farmers and fishers. Ann Occup Environ Med 2021;33:e16.
  8. Nambiema A, Bertrais S, Bodin J, Fouquet N, Aublet-Cuvelier A, Evanoff B, et al. Proportion of upper extremity musculoskeletal disorders attributable to personal and occupational factors: results from the French Pays de la Loire study. BMC Public Health 2020;20(1):456.
  9. Punnett L, Pruss-Utun A, Nelson DI, Fingerhut MA, Leigh J, Tak S, et al. Estimating the global burden of low back pain attributable to combined occupational exposures. Am J Ind Med 2005;48(6):459-69. https://doi.org/10.1002/ajim.20232
  10. Korea Occupational Safety and Health Agency. Guidelines for risk factor survey on tasks with musculoskeletal burden of the KOSHA (H-9-2018). https://kosha.or.kr/kosha/data/musculoskeletalPreventionData_G.do?mode=download&articleNo=296739&attachNo=230707. Updated 2018. Accessed April 4, 2022.
  11. European Working Conditions Surveys. EWCTS 2021 - Questionnaire. https://www.eurofound.europa.eu/surveys/european-working-conditions-surveys/european-working-conditions-survey-2021/ewcs-2021-questionnaire. Updated 2021. Accessed September 6, 2022.
  12. Moriarty AS, Gilbody S, McMillan D, Manea L. Screening and case finding for major depressive disorder using the Patient Health Questionnaire (PHQ-9): a meta-analysis. Gen Hosp Psychiatry 2015;37(6):567-76. https://doi.org/10.1016/j.genhosppsych.2015.06.012
  13. Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med 2006;166(10):1092-7. https://doi.org/10.1001/archinte.166.10.1092
  14. Newson R. REGPAR: Stata module to compute population attributable risks from binary regression models. https://econpapers.repec.org/scripts/search.pf?ft=REGPAR. Updated 2015. Accessed September 6, 2022.
  15. Nelson DI, Concha-Barrientos M, Driscoll T, Steenland K, Fingerhut M, Punnett L, et al. The global burden of selected occupational diseases and injury risks: methodology and summary. Am J Ind Med 2005;48(6):400-18. https://doi.org/10.1002/ajim.20211
  16. Haukka E, Leino-Arjas P, Ojajarvi A, Takala EP, Viikari-Juntura E, Riihimaki H. Mental stress and psychosocial factors at work in relation to multiple-site musculoskeletal pain: a longitudinal study of kitchen workers. Eur J Pain 2011;15(4):432-8. https://doi.org/10.1016/j.ejpain.2010.09.005
  17. Kroenke K, Wu J, Bair MJ, Krebs EE, Damush TM, Tu W. Reciprocal relationship between pain and depression: a 12-month longitudinal analysis in primary care. J Pain 2011;12(9):964-73. https://doi.org/10.1016/j.jpain.2011.03.003
  18. Sheng J, Liu S, Wang Y, Cui R, Zhang X. The link between depression and chronic pain: neural mechanisms in the brain. Neural Plast 2017;2017:9724371.
  19. Linton SJ, Bergbom S. Understanding the link between depression and pain. Scand J Pain 2011;2(2):47-54. https://doi.org/10.1016/j.sjpain.2011.01.005
  20. Treaster DE, Burr D. Gender differences in prevalence of upper extremity musculoskeletal disorders. Ergonomics 2004;47(5):495-526. https://doi.org/10.1080/00140130310001638171
  21. Mogil JS. Sources of individual differences in pain. Annu Rev Neurosci 2021;44(1):1-25. https://doi.org/10.1146/annurev-neuro-092820-105941
  22. Zhang H, Bi Y, Hou X, Lu X, Tu Y, Hu L. The role of negative emotions in sex differences in pain sensitivity. Neuroimage 2021;245:118685.
  23. Sandsund M, Oren A, Thorvaldsen T, Holmen I, Sonvisen S, Heidelberg CT, et al. Musculoskeletal symptoms among workers in the commercial fishing fleet of Norway. Int Marit Health 2019;70(2):100-6. https://doi.org/10.5603/IMH.2019.0016
  24. Pienimaki T. Cold exposure and musculoskeletal disorders and diseases. A review. Int J Circumpolar Health 2002;61(2):173-82. https://doi.org/10.3402/ijch.v61i2.17450
  25. Oksa J, Ducharme MB, Rintamaki H. Combined effect of repetitive work and cold on muscle function and fatigue. J Appl Physiol (1985) 2002;92(1):354-61. https://doi.org/10.1152/jappl.2002.92.1.354
  26. Chiang HC, Chen SS, Yu HS, Ko YC. The occurrence of carpal tunnel syndrome in frozen food factory employees. Gaoxiong Yi Xue Ke Xue Za Zhi 1990;6(2):73-80.
  27. Kaikaew K, van den Beukel JC, Neggers SJ, Themmen AP, Visser JA, Grefhorst A. Sex difference in cold perception and shivering onset upon gradual cold exposure. J Therm Biol 2018;77:137-44.  https://doi.org/10.1016/j.jtherbio.2018.08.016