Biomechanical assessment of critical factors during patient lifting: shoulder girdle and cumulative moment ergonomic evaluation

• Autorzy: Senvaitis Karolis , Daunoravičienė Kristina , Adomavičienė Aušra

Identyfikatory

DOI

DOI 10.2478/ama-2024-0036

• Języki publikacji: EN

Abstrakty

EN

This study examines the ergonomics of the patient lifting motion often used by healthcare professionals, focusing on the shoulder area, as manual weight management is still an important part of daily work. Data acquisition was made with the 17 IMU sensors, Movella Xsens system. A total of 25 quality measurements were acquired for further data processing. A mathematical model with the defined assumptions is presented in this research calculating shoulder moment-kinematics. The load engagement profile was determined based on the hip extension as a variable size for different test subjects and trials. Shoulder flexion-extension range of motion (ROM) variance was estimated, determining each test subject’s technique, together with shoulder moment and cumulative shoulder moment. Cumulative shoulder load varied from 31.46% to 27.78% from the mean shoulder moment value. During the estimated accumulation of a 5-year work span, the difference in worst to best techniques accumulated to 1.86 times. Recommendations on how the technique and the further scope of the research could be improved were given.

Słowa kluczowe

EN

shoulder girdle; range of motion; cumulation; lift motion

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Acta Mechanica et Automatica
• Rocznik: 2024
• Tom: Vol. 18, no. 2
• Strony: 323--332
• Opis fizyczny: Bibliogr. 27 poz., rys., tab., wykr.

Twórcy

autor

Senvaitis Karolis

• Vilnius Tech (Department of Biomechanical Engineering), Lithuania

• https://orcid.org/0009-0003-2703-0517

autor

Daunoravičienė Kristina

• Vilnius Tech (Department of Biomechanical Engineering), Lithuania

• https://orcid.org/0000-0003-0898-4860

autor

Adomavičienė Aušra

• Vilnius University (Department of Rehabilitation, Physical and Sports Medicine), Lithuania

• https://orcid.org/0000-0002-5946-6265

Bibliografia

• 1. Tariah HA, Nafai S, Alajmi M, Almutairi F, Alanazi B. Work-related musculoskeletal disorders in nurses working in the Kingdom of Saudi Arabia. Work. 2020;65(2):421-428. https://doi.org/10.3233/WOR-203094
• 2. Wurzelbacher SJ, Lampl MP, Bertke SJ, Tseng CY. The effective-ness of ergonomic interventions in material handling operations. Appl Ergon. 2020;87:103139. https://doi.org/10.1016/j.apergo.2020.103139
• 3. Bani Hani D, Huangfu R, Sesek R, Schall MC Jr, Davis GA, Gal-lagher S. Development and validation of a cumulative exposure shoulder risk assessment tool based on fatigue failure theory. Ergo-nomics 2021; 64(1): 39-54. https://doi.org/10.1080/00140139.2020.1811399
• 4. Canadian Centre for Occupational Health and Safety. Health and Safety Programs. https://www.ccohs.ca/oshanswers/hsprograms/patient_handling.html#section-1-hdr Accessed: 2023-06-23
• 5. Cheung K, Ma KY, Cheung HH, Lee CH, Chan IMM, Cheung ST, Chung WY, Yeung SS, Lo WC. Predictors of work-related musculo-skeletal symptoms in shoulders among nursing assistants working in nursing homes. PeerJ. 2021;9:11152. https://doi.org/10.7717/peerj.11152
• 6. Cheung K, Szeto G, Lai GKB, Ching SSY. Prevalence of and Factors Associated with Work-Related Musculoskeletal Symptoms in Nursing Assistants Working in Nursing Homes. Int J Environ Res Public Health. 2018;15(2):265. https://doi.org/10.3390/ijerph15020265
• 7. Eriksen W, Bruusgaard D, Knardahl S. Work factors as predictors of sickness absence: a three month prospective study of nurses’ aides. Occupational and Environmental Medicine. 2003;60:271–278. https://doi.org/10.1136/oem.60.4.271
• 8. Hignett S, McAtamney L. Rapid entire body assessment (REBA). Appl Ergon. 2000 Apr;31(2):201-5. 10.1016/s0003-6870(99)00039-3
• 9. David GC. Ergonomic methods for assessing exposure to risk factors for work-related musculoskeletal disorders. Occup Med (Lond). 2005;55(3):190-9. https://doi.org/10.1093/occmed/kqi082
• 10. Buchholz B, Paquet V, Punnett L, Lee D, Moir S. PATH: a work sampling-based approach to ergonomic job analysis for construction and other non-repetitive work. Appl Ergon. 1996 Jun;27(3):177-87. https://doi.org/10.1016/0003-6870(95)00078-x
• 11. Occupational Health Clinics for Ontario Workers Inc. “Patient Han-dling For Healthcare Workers” http://www.ohcow.on.ca/edit/files/general_handouts/Healthcare%20Workers%20Patient%20Handling.pdf
• 12. National Institute for Occupation Safety and Health (NIOSH) “Safe patient Handling and Mobility” https://www.cdc.gov/niosh/topics/safepatient/default.html
• 13. Senvaitis K, Daunoravičienė K. Skeletal Modeling in Rhino Grass-hopper—A Confirmed Kinematic Model. Machines 2023; 11: 556. https://doi.org/10.3390/machines11050556
• 14. Farid M, Gang Z, Khuong TL, Sun ZZ, Ur Rehman N. Grasshopper Knee Joint – Inverse Kinematic Modeling and Simulation of Ionic Polymer Metal Composites (IPMC) Actuators. JBBTE 2014;19:1–11. https://doi.org/10.4028/www.scientific.net/jbbte.19.1
• 15. Greenland KO, Merryweather AS, Bloswick DS. The effect of lifting speed on cumulative and peak biomechanical loading for symmetric lifting tasks. Saf Health Work. 2013;4(2):105-10. https://doi.org/10.1016/j.shaw.2013.04.001
• 16. Kaufman KR, Hughes C, Morrey BF, Morrey M, Kai-Nan An. Gait characteristics of patients with knee osteoarthritis, Journal of Biome-chanics. 2001; 34(7): 907-915. https://doi.org/10.1016/S0021-9290(01)00036-7
• 17. Mündermann A, Dyrby CO, Andriacchi TP.Secondary gait changes in patients with medial compartment knee osteoarthritis: Increased load at the ankle, knee, and hip during walking. Arthritis & Rheumatism. 2005; 52: 2835-2844.https://doi.org/10.1002/art.21262
• 18. Wannop JW, Worobets JT, Stefanyshyn DJ. Normalization of ground reaction forces, joint moments, and free moments in human locomo-tion. J Appl Biomech. 2012;28(6):665-76. https://doi.org/10.1123/jab.28.6.665.
• 19. Baellow A, Glaviano NR, Hertel J, Saliba SA. Lower Extremity Bio-mechanics During a Drop-Vertical Jump and Muscle Strength in Women With Patellofemoral Pain. J Athl Train 1 June 2020; 55(6): 615–622. https://doi.org/10.4085/1062-6050-476-18
• 20. Halawi L, Clarke A, George K. Evaluating Predictive Performance. In Harnessing the Power of Analytics; Springer International Publishing: Cham. Switzerland 2022; 51–59.
• 21. El Omda S, Sergent SR. Standard Deviation. [Updated 2023 Aug 14]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Pub-lishing 2023. https://www.ncbi.nlm.nih.gov/books/NBK574574/
• 22. Ferdinands RE, Singh U. Investigating the biomechanical validity of the V-spine angle technique in cricket fast bowling. International Journal of Sports Science & Coaching. 2023; 18(4): 1091–1101. https://doi.org/10.1177/17479541221108252
• 23. Edwards N, Dickin C, Wang H. Low back pain and golf: A review of biomechanical risk factors. Sports Med Health Sci. 2020 9;2(1):10-18. https://doi.org/10.1016/j.smhs.2020.03.002
• 24. Vera-Jiménez JC, Meléndez-Sánchez FL, Álvarez JA, Ayuso J. An Analysis of Biomechanical Parameters in OTP Police Physical Inter-vention Techniques for Occupational Risk Prevention. Int. J. Environ. Res. Public Health 2022; 19: 6615. https://doi.org/10.3390/ijerph19116615
• 25. Greenland KO, Merryweather AS, Bloswick DS. The effect of lifting speed on cumulative and peak biomechanical loading for symmetric lifting tasks. Saf Health Work. 2013;4(2):105-10. https://doi.org/10.1016/j.shaw.2013.04.001
• 26. Patrick G. Dempsey. A critical review of biomechanical, epidemiolog-ical, physiological and psychophysical criteria for designing manual materials handling tasks. Ergonomics. 1998; 41(1): 73-88. https://doi.org/10.1080/001401398187332
• 27. Bani Hani D, Huangfu R, Sesek R, Schall MC Jr, Davis GA, Gal-lagher S. Development and validation of a cumulative exposure shoulder risk assessment tool based on fatigue failure theory. Ergo-nomics 2021; 64(1): 39-54.