ABSTRACT
Work-related injuries involving significant physical loads are of growing concern, as these injuries can negatively impact work productivity, physical health and well-being at work, but also have economic costs due to absenteeism. This observational study aims to quantify the ergonomical assessment of dockworkers using wearable devices to reduce the risk of injuries. Two different gestures are analyzed and observed using a wearable mocap system: Task1A securing the lash bars and Task 1B as lifting and locking process. Additional tests and questionnaire were also requested: FMS, HHD, RAND-36, ODI, and TSK questionnaires. As result, it was found a large spread between the maximum and minimum degrees and the range in which they are working among the different dockworkers. Despite the large heterogeneity, we found for task 1B that the wrist was held in extreme positions, and a significant correlation was found between the time and standard deviation of the low back (R = 0.45, p = 0.045). In addition, all participants reported having complaints; 66% had kinesiophobia, 60% were overweight, and the mean score on the FMS was 15. The occurrence of fatigue, complaints, kinesiophobia, a challenging work environment, or an unhealthy lifestyle may lead to altered movement patterns, which could possibly increase the risk of injury. Based on the results, we recommend implementing a warm-up and an individualized prevention program to reduce the risk of injury.
- Kleinman, N.L., Brook, R.A., Patel, P.A., et al. 2007. The Impact of Gout on Work Absence and Productivity. Value in Health 10, 231--237. Google ScholarCross Ref
- Marras, W.S., Ferguson, S.A., Burr, D., Schabo, P., and Maronitis, A. 2007. Low Back Pain Recurrence in Occupational Environments. Spine 32, 2387--2397. Google ScholarCross Ref
- Miller, R.C. 1969. The Dockworker Subculture and Some Problems in Cross-Cultural and Cross-Time Generalizations. Comparative Studies in Society and History 11, 302--314. Google ScholarCross Ref
- Almeida, M.C.V. de, Cezar-Vaz, M.R., Soares, J.F. de S., and Silva, M.R.S. da. 2012. The prevalence of musculoskeletal diseases among casual dock workers. Revista Latino-Americana de Enfermagem 20, 243--250. Google ScholarCross Ref
- Anderson, J.A. 1984. Arthrosis and its relation to work. Scandinavian Journal of Work, Environment & Health 10, 429--433. Google ScholarCross Ref
- Van Gastel, A., Scataglini, S., Zelck, S., Denteneer, L., Bossche, H.V., and Verwulgen, S. 2021. Towards Wearable Technology Assisting in Training and Risk Assessment Against Musculoskeletal Disorders for Maritime Workers. Advances in Simulation and Digital Human Modeling, 368--376. Google ScholarCross Ref
- Zelck, S., Verwulgen, S., Denteneer, L., Vanden Bossche, H., and Scataglini, S. 2021. Combining a Wearable IMU Mocap System with REBA and RULA for Ergonomic Assessment of Container Lashing Teams. Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), 462--465. Google ScholarCross Ref
- Li, X., Yang, X., Sun, X., Xue, Q., Ma, X., and Liu, J. 2021. Associations of musculoskeletal disorders with occupational stress and mental health among coal miners in Xinjiang, China: a cross-sectional study. BMC Public Health 21. Google ScholarCross Ref
- Marras WS, Lavender SA, Leurgans SE, Fathallah FA, Ferguson SA, Allread WG, et al., Biomechanical risk factors for occupationally related low back disorders. Ergonomics 38, 377--410. Google ScholarCross Ref
- Harris-Adamson, C., You, D., Eisen, E.A., Goldberg, R., and Rempel, D. 2013. The Impact of Posture on Wrist Tendinosis Among Blue-Collar Workers. Human Factors: The Journal of the Human Factors and Ergonomics Society 56, 143--150. Google ScholarCross Ref
- Roquelaure, Y., Dano, C., Dusolier, G., Fanello, S., and Penneau-Fontbonne, D. 2002. Biomechanical strains on the hand-wrist system during grapevine pruning. International Archives of Occupational and Environmental Health 75, 591--595. Google ScholarCross Ref
- Van Gastel, A., Zelck, S., Scataglini, S., & Verwulgen, S. (2022, July). Combining Motion Capture with Vibrotactile Feedback for Real-Time Posture Correction. In Digital Human Modeling and Applied Optimization: proceedings of the 13th AHFE International Conference on Digital Human Modeling and Applied Optimization, New York, USA, 24--28 July, 2022/Scataglini, Sofia [edit.]; et al.[edit.] (pp. 107--114). Google ScholarCross Ref
- Scataglini, S., Verwulgen, S., Roosens, E., Haelterman, R., and Van Tiggelen, D. 2021. Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System. Sensors 21, 4441. Google ScholarCross Ref
- Institute of Medicine Committee on H, Behavior: Research P, Policy. The National Academies Collection: Reports funded by National Institutes of Health. Health and Behavior: The Interplay of Biological, Behavioral, and Societal Influences. Washington (DC): National Academies Press (US)Google Scholar
- Bergman, S. 2007. Public health perspective - how to improve the musculoskeletal health of the population. Best Practice & Research Clinical Rheumatology 21, 191--204. Google ScholarCross Ref
- Vargas-Prada, S. and Coggon, D. 2015. Psychological and psychosocial determinants of musculoskeletal pain and associated disability. Best Practice & Research Clinical Rheumatology 29, 374--390. Google ScholarCross Ref
- Longo F, Padovano, A., Solina, V., D'Augusta, V., Venzl, S., Calbi, R., Bartuni, M., Anastasi, O., & Diaz, R. Human Ergonomic Simulation to Support the Design of an Exoskeleton for Lashing/De- lashing operations of Containers Cargo. . Procedia Computer Science. 2022;200:1894--902.Google Scholar
- Zelck, S., Verwulgen, S., Denteneer, L., et al. 2021. Stability Measurements of Overhead Tasks in Combination with Prismatic Glasses Using IMU Mocap System: Presenting an Experiment Protocol. Advances in Simulation and Digital Human Modeling, 377--383.x Google ScholarCross Ref
- Ibrahim, K., May, C., Patel, H.P., Baxter, M., Sayer, A.A., and Roberts, H. 2016. A feasibility study of implementing grip strength measurement into routine hospital practice (GRImP): study protocol. Pilot and Feasibility Studies 2. Google ScholarCross Ref
- Schiffke-Juhász, B., Knobloch, K., Vogt, P.M., and Hoy, L. 2021. Proprioceptive elbow training reduces pain and improves function in painful lateral epicondylitis---a prospective trial. Journal of Orthopaedic Surgery and Research 16. Google ScholarCross Ref
- Cook G, Burton L, Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function - part 1. N Am J Sports Phys Ther. 2006;1(2):62--72.Google Scholar
- Cook G, Burton L, Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function - part 2. N Am J Sports Phys Ther. 2006;1(3):132--9.Google Scholar
- Farrell, S.W., Pavlovic, A., Barlow, C.E., et al. 2019. Functional Movement Screening Performance and Association With Key Health Markers in Older Adults. Journal of Strength and Conditioning Research 35, 3021--3027. Google ScholarCross Ref
- Zhang, J.-T., Novak, A.C., Brouwer, B., and Li, Q. 2013. Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics. Physiological Measurement 34, N63--N69. Google ScholarCross Ref
- Karen van der Zee RS. Het meten van de algemene gezondheidstoestand met de RAND-36. Research Institute SHARE 2012.Google Scholar
- Haywood, K.L., Pearson, N., Morrison, L.J., Castrén, M., Lilja, G., and Perkins, G.D. 2018. Assessing health-related quality of life (HRQoL) in survivors of out-of-hospital cardiac arrest: A systematic review of patient-reported outcome measures. Resuscitation 123, 22--37. Google ScholarCross Ref
- Widanarko, B., Legg, S., Devereux, J., and Stevenson, M. 2014. The combined effect of physical, psychosocial/organisational and/or environmental risk factors on the presence of work-related musculoskeletal symptoms and its consequences. Applied Ergonomics 45, 1610--1621. Google ScholarCross Ref
- Abboud, J., Nougarou, F., Pagé, I., Cantin, V., Massicotte, D., and Descarreaux, M. 2014. Trunk motor variability in patients with non-specific chronic low back pain. European Journal of Applied Physiology 114, 2645--2654. Google ScholarCross Ref
- Sheahan, P.J., Nelson-Wong, E.J., and Fischer, S.L. 2015. A review of culturally adapted versions of the Oswestry Disability Index: the adaptation process, construct validity, test-retest reliability and internal consistency. Disability and Rehabilitation 37, 2367--2374. Google ScholarCross Ref
- Vlaeyen, J.W.S., Kole-Snijders, A.M.J., Rotteveel, A.M., Ruesink, R., and Heuts, P.H.T.G. 1995. The role of fear of movement/(re)injury in pain disability. Journal of Occupational Rehabilitation 5, 235--252. Google ScholarCross Ref
- Goubert, L., Crombez, G., Vlaeyen, J. W., Van Damme, S., Van den Broeck, A., & Van Houdenhove, B. (2000). De Tampa schaal voor kinesiofobie: psychometrische karakteristieken en normering. Gedrag en gezondheid, 28, 54--62.Google Scholar
- Lundberg, M., Grimby-Ekman, A., Verbunt, J., and Simmonds, M.J. 2011. Pain-Related Fear: A Critical Review of the Related Measures. Pain Research and Treatment 2011, 1--26. Google ScholarCross Ref
- Eiger, B., Errebo, M., Straszek, C.L., and Vaegter, H.B. 2022. Less is more: reliability and measurement error for three versions of the Tampa Scale of Kinesiophobia (TSK-11, TSK-13, and TSK-17) in patients with high-impact chronic pain. Scandinavian Journal of Pain 23, 217--224. Google ScholarCross Ref
- Osumi, M., Sumitani, M., Otake, Y., et al. 2019. Kinesiophobia modulates lumbar movements in people with chronic low back pain: a kinematic analysis of lumbar bending and returning movement. European Spine Journal 28, 1572--1578. Google ScholarCross Ref
Index Terms
- Ergonomical assessment using wearable motion capture system in dockworkers during lashing
Recommendations
Detecting Compensatory Trunk Movements in Stroke Survivors using a Wearable System
WearSys '17: Proceedings of the 2017 Workshop on Wearable Systems and ApplicationsBecause of the redundancy in the human body, stroke survivors often use atypical compensatory movements, such as reaching with trunk motion to compensate for deficits in arm function. Prior studies have established that minimizing these compensatory ...
Investigation of Wearable Motion Capture System Towards Biomechanical Modelling
2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA)Motion Capture (MOCAP) systems provide kinematic data as an output. Biomechanical models use this data as an input to calculate the forces acting on the joints of human body. For high bio-fidelity modelling, accurate daily life data are required. Here, we ...
Kinematics based sensory fusion for wearable motion assessment in human walking
Measuring the kinematic parameters in unconstrained human motion is becoming crucial for providing feedback information in wearable robotics and sports monitoring. This paper presents a novel sensory fusion algorithm for assessing the orientations of ...
Comments