Strength and Perceived Effort in Repetitive Upper-Limb Tasks: An OCRA Method Analysis of 900 Workers

Main Article Content

Stefano Gobbo https://orcid.org/0000-0002-1798-5040
Valentina Bullo https://orcid.org/0000-0002-3947-1593
Francesco Favro https://orcid.org/0000-0001-5797-7240
Davide Pavan https://orcid.org/0000-0002-5360-1104
Beatrice Doro
Alessandro Bortoletto https://orcid.org/0000-0002-4789-8589
Giuseppe De Palma
Emma Sala
Stefano Mattioli
Andrea Di Blasio
Marco Bergamin https://orcid.org/0000-0002-7441-4324

Keywords

Musculoskeletal disorders, Risk assessment, OCRA, Handgrip, Ergonomics

Abstract

Background: Work-related musculoskeletal disorders pose a significant burden on the population. The OCRA method plays a key role in assessing the risk associated with repetitive actions of the upper limbs. In this method, muscular force is evaluated based on the rate of perceived effort (RPE) reported by the worker, which can introduce subjective bias into the assessment. This study aims to determine whether testing the worker’s handgrip strength can improve the accuracy of the force assessment in the OCRA method. Methods: Handgrip strength was measured during the risk assessment process following the OCRA method. Data were divided into specific percentile ranks based on age, gender, height, and handedness. Results: 903 workers from 43 different Italian companies were surveyed. There was a significant difference in handgrip strength percentiles stratified by report of an RPE > 2 and those without (p = 0.047). Additionally, significant differences were found in perceived effort rates (based on the OCRA method) among workers with different levels of stratified handgrip strength (dominant hand: p = 0.04, non-dominant hand: p = 0.02). Conclusions: Workers performing repetitive upper limb actions at various strength levels experience different perceived effort rates during tasks. These findings suggest that measuring handgrip strength is a crucial component of risk assessments using the OCRA method. To date, this study's sample size is among the largest for this evaluation method; we believe these results could be a significant step forward in improving the risk assessment process for biomechanical overload
Abstract 1280 | PDF Downloads 474

References

1. Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2021. 2024.
2. Institute for Health Metrics and Evaluation. GBD 2021 Cause and Risk Summary: Musculoskeletal Disor-ders. 2024.
3. Vandekerckhove S, Lenaerts K, Szekér L, Desiere S, Lamberts M, Ramioul M. Musculoskeletal Disorders and Psychosocial Risk Factors in the Workplace—Statistical Analysis of EU-Wide Survey Data. European Agen-cy for Safety and Health at Work (EU-OSHA); 2021.
4. Gomes MM, dos Santos Silva SR, Padula RS. Prevalence and factors associated with low back pain in ware-house workers: A cross-sectional study. J Back Musculoskelet Rehabil. 2023;36(4):823-829. Doi: 10.3233/BMR-220035
5. Lopes ER do C, Macêdo FPF, Fifolato TM, Nardim HCB, Suzuki KAK, Fonseca M de CR. Physical, functional and personal variables affecting shoulder complaints in healthcare workers. Work. 2024;79(1):393-404. Doi: 10.3233/WOR-230373
6. Forde MS, Punnett L, Wegman DH. Pathomechanisms of work-related musculoskeletal disorders: concep-tual issues. Ergonomics. 2002;45(9):619-630. Doi: 10.1080/00140130210153487
7. van Tulder M, Malmivaara A, Koes B. Repetitive strain injury. The Lancet. 2007;369(9575):1815-1822. Doi: 10.1016/S0140-6736(07)60820-4
8. Borg G. Borg’s Perceived Exertion And Pain Scales. Human Kinetics; 1998.
9. Colombini D, Occhipinti E. L’analisi e La Gestione Del Rischio Nel Lavoro Manuale Ripetitivo: Manuale per l’uso Del Sistema OCRA per La Gestione Del Rischio Da Sovraccarico Biomeccanico in Lavori Semplici e Complessi. FrancoAngeli; 2014.
10. Morishita S, Tsubaki A, Takabayashi T, Fu JB. Relationship Between the Rating of Perceived Exertion Scale and the Load Intensity of Resistance Training. Strength Cond J. 2018;40(2):94-109. Doi: 10.1519/SSC.0000000000000373
11. Sala E, Lopomo NF, Tomasi C, et al. Importance of Work-Related Psychosocial Factors in Exertion Percep-tion Using the Borg Scale Among Workers Subjected to Heavy Physical Work. Front Public Health. 2021;9. Doi: 10.3389/fpubh.2021.678827
12. Kim SH, Kim T, Park JC, Kim YH. Usefulness of hand grip strength to estimate other physical fitness parame-ters in older adults. Sci Rep. 2022;12(1):17496. Doi: 10.1038/s41598-022-22477-6
13. Trosclair D, Bellar D, Judge LW, Smith J, Mazerat N, Brignac A. Hand-Grip Strength as a Predictor of Muscu-lar Strength and Endurance. J Strength Cond Res. 2011;25:S99. Doi:10.1097/01.JSC.0000395736.42557.bc
14. Kim J. Handgrip Strength to Predict the Risk of All-Cause and Premature Mortality in Korean Adults: A 10-Year Cohort Study. Int J Environ Res Public Health. 2021;19(1):39. doi:10.3390/ijerph19010039
15. Soysal P, Hurst C, Demurtas J, et al. Handgrip strength and health outcomes: Umbrella review of systematic reviews with meta-analyses of observational studies. J Sport Health Sci. 2021;10(3):290-295. Doi: 10.1016/j.jshs.2020.06.009
16. Kiruthika S, Mahesh R, Indhu R. A Correlation Study to Analyze the Relationship Between Neck Pain, Level of Musculoskeletal Disorders (MSDs) Risk and Handgrip Strength in Desktop Workers. Int J Health Sci Res. 2024;14(8):37-46. Doi: 10.52403/ijhsr.20240806
17. Alperovitch-Najenson D, Carmeli E, Coleman R, Ring H. Handgrip Strength as a Diagnostic Tool in Work-Related Upper Extremity Musculoskeletal Disorders in Women. The Scientific World JOURNAL. 2004;4:111-117. Doi: 10.1100/tsw.2004.12
18. Spruit MA, Sillen MJH, Groenen MTJ, Wouters EFM, Franssen FME. New Normative Values for Handgrip Strength: Results From the UK Biobank. J Am Med Dir Assoc. 2013;14(10):775.e5-775.e11. Doi: 10.1016/j.jamda.2013.06.013
19. Keller K, Engelhardt M. Strength and muscle mass loss with aging process. Age and strength loss. Muscles Ligaments Tendons J. 2013;3(4):346-350.
20. R Core Team. R: A Language and Environment for Statistical Computing. Published online 2023. https://www.R-project.org/
21. Posit team. RStudio: Integrated Development Environment for R. Published online 2024. http://www.posit.co/
22. Wickham H, Averick M, Bryan J, et al. Welcome to the Tidyverse. J Open Source Softw. 2019;4(43):1686. doi:10.21105/joss.01686
23. Arnold TA, Emerson JW. Nonparametric Goodness-of-Fit Tests for Discrete Null Distributions. R J. 2011;3(2):34-39. doi:10.32614/RJ-2011-016
24. Savicky P. pspearman: Spearman’s Rank Correlation Test. Published online 2022. https://CRAN.R-project.org/package=pspearman
25. Lüdecke D. sjPlot: Data Visualization for Statistics in Social Science. Published online 2024. https://CRAN.R-project.org/package=sjPlot
26. Signorell A. DescTools: Tools for Descriptive Statistics. Published online 2024. https://CRAN.R-project.org/package=DescTools
27. Kassambara A. ggpubr: “ggplot2” Based Publication Ready Plots. Manual. Published online 2023.
28. Almeida A, Loy A, Hofmann H. ggplot2 Compatible Quantile-Quantile Plots in R. R J. 2019;10(2):248. Doi: 10.32614/RJ-2018-051
29. Italian Ministry of Labour and Social Policies. Mandatory Health and Safety Measures for All Companies. Italian Ministry of Labour and Social Policies; 2008.
30. Eurostat. Eurostat data, Persons reporting a work-related health problem by sex, age, and type of problem. Published 2023. Accessed January 21, 2025. https://ec.europa.eu/eurostat/databrowser/bookmark/eceb50ff-273a-45cf-a2a8-cfb321eadfe7?lang=en
31. Summers K, Jinnett KJ, Bevan S. Musculoskeletal Disorders, Workforce Health and Productivity in the United States. In: ; 2015. https://api.semanticscholar.org/CorpusID:78651426
32. Pasdar Y, Hamzeh B, Moradi S, et al. Better muscle strength can decrease the risk of arthralgia and back & joint stiffness in Kurdish men; a cross-sectional study using data from RaNCD cohort study. BMC Muscu-loskelet Disord. 2020;21(1):686. Doi: 10.1186/s12891-020-03712-5
33. Morera Á, Calatayud J, Casaña J, Núñez-Cortés R, Andersen LL, López-Bueno R. Handgrip strength and work limitations: A prospective cohort study of 70,820 adults aged 50 and older. Maturitas. 2023;177:107798. Doi: 10.1016/j.maturitas.2023.107798
34. Walker-Bone K, D’Angelo S, Syddall HE, et al. Heavy manual work throughout the working lifetime and muscle strength among men at retirement age. Occup Environ Med. 2016;73(4):284-286. Doi: 10.1136/oemed-2015-103293