Safety and Health at Work

  • 제8권2호
  • /
  • Pages.206-211
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  • 2017
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  • 2093-7911(pISSN)
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  • 2093-7997(eISSN)
산업안전보건연구원 (Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency)
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Non-chemical Risk Assessment for Lifting and Low Back Pain Based on Bayesian Threshold Models

  • Pandalai, Sudha P. (Education and Information Division, Risk Evaluation Branch, National Institute for Occupational Safety and Health) ;
  • Wheeler, Matthew W. (Education and Information Division, Risk Evaluation Branch, National Institute for Occupational Safety and Health) ;
  • Lu, Ming-Lun (Division of Applied Research and Technology, Organizational Science and Human Factors Branch, Human Factors and Ergonomics Research Team, National Institute for Occupational Safety and Health)
  • 투고 : 2016.06.11
  • 심사 : 2016.10.25
  • 발행 : 2017.06.30
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초록

Background: Self-reported low back pain (LBP) has been evaluated in relation to material handling lifting tasks, but little research has focused on relating quantifiable stressors to LBP at the individual level. The National Institute for Occupational Safety and Health (NIOSH) Composite Lifting Index (CLI) has been used to quantify stressors for lifting tasks. A chemical exposure can be readily used as an exposure metric or stressor for chemical risk assessment (RA). Defining and quantifying lifting nonchemical stressors and related adverse responses is more difficult. Stressor-response models appropriate for CLI and LBP associations do not easily fit in common chemical RA modeling techniques (e.g., Benchmark Dose methods), so different approaches were tried. Methods: This work used prospective data from 138 manufacturing workers to consider the linkage of the occupational stressor of material lifting to LBP. The final model used a Bayesian random threshold approach to estimate the probability of an increase in LBP as a threshold step function. Results: Using maximal and mean CLI values, a significant increase in the probability of LBP for values above 1.5 was found. Conclusion: A risk of LBP associated with CLI values > 1.5 existed in this worker population. The relevance for other populations requires further study.

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참고문헌

  1. Punnett L. Musculoskeletal disorders and occupational exposures: how should we judge the evidence concerning the causal association? Scand J Public Health 2014;42:49-58. https://doi.org/10.1177/1403494813517324
  2. Sinnott PL, Siroka AM, Shane AC, Trafton JA, Wagner TH. Identifying neck and back pain in administrative data: defining the right cohort. Spine (Phila Pa 1976) 2012;37:860-74. https://doi.org/10.1097/BRS.0b013e3182376508
  3. Driscoll T. Epidemiological aspects of studying work-related musculoskeletal disorders. Best Pract Res Clin Rheum 2011;25:3-13.
  4. Bureau of Labor Statistics. Nonfatal occupational injuries and illnesses requiring days away from work, 2013 [Internet]. Washington DC (WA): USDL-13-2257; 2014 Dec 16 [cited 2015 Jan 17]. Available from: http://www.bls.gov/news.release/pdf/osh2.pdf.
  5. National Research Council (NRC) and the Institute of Medicine (IOM). Musculoskeletal disorders and the workplace: low back and upper extremities, panel on Musculoskeletal Disorders and the workplace, commission on behavioral and social sciences and education [Internet]. Washington DC (WA): National Academy Press; 2001 [cited Jan 7, 2016]. Available from: http://www.nap.edu/openbook.php?isbn=0309072840.
  6. Osborne A, Blake C, Fullen BM, Meredith D, Phelan J, McNamara J, Cunningham C. Risk factors for musculoskeletal disorders among farm owners and farm workers: a systematic review. Am J Ind Med 2012;55:376-89. https://doi.org/10.1002/ajim.22001
  7. Thiese MS, Hegmann KT, Wood EM, Garg A, Moore JS, Back Works Study Team. Low-back pain ratings for lifetime, 1-month period, and point prevalences in a large occupational population. Hum Factors 2014;56:86-97. https://doi.org/10.1177/0018720813493641
  8. Garg A, Boda S, Hegmann KT, Moore JS, Kapellusch JM, Bhoyar P, Thiese MS, Merryweather A, Deckow-Schaefer G, Bloswick D, Malloy EJ. The NIOSH lifting equation and low-back pain, part 1: association with low-back pain in the Backworks prospective cohort study. Hum Factors 2014;56:6-28. https://doi.org/10.1177/0018720813486669
  9. Lu ML, Waters TR, Krieg E, Werren D. Efficacy of the revised NIOSH lifting equation to predict risk of low-back pain associated with manual lifting: a one-year prospective study. Hum Factors 2014;56:73-85. https://doi.org/10.1177/0018720813513608
  10. Solovieva S, Pehkonen I, Kausto J, Miranda H, Shiri R, Kauppinen T, Heliovaara M, Burdorf A, Husgafvel-Pursiainen K, Viikari-Juntura E. Development and validation of a job exposure matrix for physical risk factors in low back pain. PLoS One 2012;7:e48680. https://doi.org/10.1371/journal.pone.0048680
  11. Coenen P, Gouttebarge V, van der Burght AS, van Dieen JH, Frings-Dresen MH, van der Beek AJ, Burdorf A. The effect of lifting during work on low back pain: a health impact assessment based on a meta-analysis. Occup Environ Med 2014;71:871-7. https://doi.org/10.1136/oemed-2014-102346
  12. Griffith LE, Shannon HS, Wells RP, Walter SD, Cole DC, Cote P, Frank J, Hogg-Johnson S, Langlois LE. Individual participant data meta-analysis of mechanical workplace risk factors and low back pain. Am J Public Health 2012;102:309-18. https://doi.org/10.2105/AJPH.2011.300343
  13. Waters TR, Putz-Anderson V, Garg A. Applications manual for the revised NIOSH lifting equation. Cincinnati (OH): National Institute for Occupational Safety and Health (US); 1994. DHHS (NIOSH) Publication No. 94-110. 164 p.
  14. MacDonald LA, Waters T, Napolitano P, Goddard D, Ryan M, Neilsen P, Hudock S. Clinical guidelines for occupational lifting in pregnancy: evidence summary and recommendations. Am J Obstet Gynecol 2013;209:80-8. https://doi.org/10.1016/j.ajog.2013.02.047
  15. Waters TR, Baron SL, Piacitelli LA, Anderson VP, Skav T, Haring-Sweeney M, Wall DK, Fine LJ. Evaluation of the revised NIOSH lifting equation: a cross-sectional epidemiologic study. Spine 1999;24:386-95. https://doi.org/10.1097/00007632-199902150-00019
  16. Lu ML, Waters TR, Werren D. Development of human posture simulation method for assessing posture angles and spinal loads. Hum Factor Ergon Man 2015;25:123-36.
  17. Waters TR, Putz-Anderson V, Garg A, Fine LJ. Revised NIOSH equation for the design and evaluation of manual lifting tasks. Ergonomics 1993;36:749-76. https://doi.org/10.1080/00140139308967940
  18. Waters TR, Lu ML, Piacitelli LA, Werren D, Deddens JA. Efficacy of the revised NIOSH lifting equation to predict risk of low back pain due to manual lifting: expanded cross-sectional analysis. J Occup Environ Med 2011;53:1061-7. https://doi.org/10.1097/JOM.0b013e31822cfe5e
  19. National Research Council. Science and decisions: advancing risk assessment. Washington DC (WA): National Academies Press; 2009. 403 p.
  20. National Heart Lung and Blood Institute. Classification of overweight and obesity by BMI, waist circumference, and associated disease risks [Internet]. Washington DC (WA): National Institutes of Health; April 2014 [cited 2015 Nov 3]. Available from: https://www.nhlbi.nih.gov/health/educational/lose_wt/BMI/bmi_dis.htm.
  21. Kass RE, Raftery AE. Bayes factors. J Am Stat Assoc 1995;90:773-95. https://doi.org/10.1080/01621459.1995.10476572
  22. Selke T, Bayarri MJ, Berger JO. Calibration of ${\rho}$ values for testing precise null hypotheses. Am Stat 2011;55:62-71.
  23. Park T, Casella G. The Bayesian lasso. J Am Stat Assoc 2008;103:681-6. https://doi.org/10.1198/016214508000000337
  24. Environmental Protection Agency (EPA). EPA's approach for assessing the risks associated with chronic exposure to carcinogens, background document 2 [Internet]. 1992 [cited 2016 May 26]. Available from: https://www.epa.gov/iris/epas-approach-assessing-risks-associated-chronic-exposure-carcinogens.
  25. Zare M, Malinge-Oudenot A, Hoglund R, Biau S, Roquelaure Y. Evaluation of ergonomic physical risk factors in a truck manufacturing plant: case study in SCANIA Production Angers. Ind Health 2016 Mar 28;54:163-76. https://doi.org/10.2486/indhealth.2015-0055
  26. Tafazzol A, Aref S, Mardani M, Haddad O, Parnianpour M. Epidemiological and biomechanical evaluation of airline baggage handling. Int J Occup Saf Ergon 2016;22:218-27. https://doi.org/10.1080/10803548.2015.1126457
  27. Lu ML, Putz-Anderson V, Garg A, Davis K. Evaluation of the impact of the revised National Institute for Occupational Safety and Health lifting equation. Hum Factors 2016;58:667-82. https://doi.org/10.1177/0018720815623894
  28. Waters T, Occhipinti E, Colombini D, Alvarez-Casado E, Fox R. Variable lifting index (VLI): a new method for evaluating variable lifting tasks. Hum Factors 2015;58:695-711.
  29. Battevi N, Pandolfi M, Cortinovis I. Variable lifting index for manual-lifting risk assessment: a preliminary validation study. Hum Factors 2016;58:712-25. https://doi.org/10.1177/0018720816637538
  30. Garg A, Kapellusch JM. The cumulative lifting index (CULI) for the revised NIOSH lifting equation: quantifying risk for workers with job rotation. Hum Factors 2016;58:683-94. https://doi.org/10.1177/0018720815627405