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Quantitative Assessment of Trunk Flexion in Nurses Using Wearable Inertial Sensor: A Pilot Study

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1215))

Abstract

Nurses are at increased risk to develop musculoskeletal disorders (in particular low back pain) due to prolonged exposure to awkward postures, but there is a lack of quantitative objective measurements useful to characterize such postures. In the present study, we employed a single wearable inertial measurement unit (IMU) placed in the low back to monitor trunk flexion of eleven professional nurses working at maternity and cardiology wards during two hours of a regular shift. Trunk movement was analyzed using an exposure variation analysis approach which classifies flexion in three classes (i.e. 30–60°, 60–90° and >90°). The results show that tested nurses spent 3.5% of the monitored time with their trunk flexed between 30 and 60° and 0.2% between 60 and 90°. The IMU-based approach appears suitable to perform long-term monitoring of trunk postures in workers at risk for musculoskeletal disorders, overcoming the limitation of the observational methods and questionnaires.

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References

  1. Magnago, T.S., Lisboa, M., Souza, I., Moreira, M.: Musculoskeletal disorders in nursing workers: evidences associated to work conditions. Rev. Bras. Enferm. 60(7), 191–196 (2007)

    Google Scholar 

  2. Solidaki, E., Chatzi, L., Bitsios, P., Markatzi, I., Plana, E., Castro, F., Palmer, K., Coggon, D., Kogevinas, M.: Work-related and psychological determinants of multisite musculoskeletal pain. Scand. J. Work Environ. Health 36(1), 54–56 (2010)

    Article  Google Scholar 

  3. Nourollahi, M., Afshari, D., Dianat, I.: Awkward trunk postures and their relationship with low back pain in hospital nurses. Work. 59(3), 317–323 (2018)

    Article  Google Scholar 

  4. Abdollahzade, F., Mohammadi, F., Dianat, I., Asghari, E., Asghari-Jafarabadi, M., Sokhanvar, Z.: Working posture and its predictors in hospital operating room nurses. Health Promot. Perspect. 6(1), 17–22 (2016)

    Article  Google Scholar 

  5. Bootsman, R., Markopoulos, P., Qi, Q., Wang, Q., Timmermans, A.A.: Wearable technology for posture monitoring at the workplace. Int. J. Hum Comput Stud. 132, 99–111 (2019)

    Article  Google Scholar 

  6. Burdof, A., van Riel, M.: Design of strategies to assess lumbar posture during work. Int. J. Ind. Ergon. 18, 239–249 (1996)

    Article  Google Scholar 

  7. David, G.C.: Ergonomic methods for assessing exposure to risk factors for work-related musculoskeletal disorders. Occup. Med. 55, 190–199 (2005)

    Article  Google Scholar 

  8. Bergman, J.H.M., McGregor, A.H.: Body-worn sensor design: what do patients and clinicians want? Ann. Biomed. Eng. 39(9), 2299–2312 (2011)

    Article  Google Scholar 

  9. Shall Jr., M.C., Fethke, N.B., Chen, H.: Evaluation of four sensor locations for physical activity assessment. Appl. Ergon. 53, 103–109 (2016)

    Article  Google Scholar 

  10. Douphrate, D.I., Fethke, N.B., Nonnenmann, M.W., Rosecrance, J.C., Reynolds, S.J.: Full shift arm inclinometry among dairy parlor workers: a feasibility study in a challenging work environment. Appl. Ergon. 43(3), 604–613 (2012)

    Article  Google Scholar 

  11. Asante, B.O., Bath, B., Trask, C.: Trunk posture assessment during work tasks at a Canadian recycling center. Int. J. Ind. Ergonom. 68, 297–303 (2018)

    Article  Google Scholar 

  12. Faber, G.S., Kingma, I., Bruijn, S.M., van Dieen, J.H.: Optimal inertial sensor location for ambulatory measurement of trunk inclination. J. Biomech. 42, 2406–2409 (2009)

    Article  Google Scholar 

  13. Mathiassen, S.E., Winkel, J.: Quantifying variation in physical load using exposure-vs-time data. Ergonomics 34(12), 1455–1468 (1991)

    Article  Google Scholar 

  14. Hildebrand, M., Van Hees, V.T., Hansen, B.H., Ekelund, U.: Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. Med. Sci. Sports Exerc. 46(9), 1816–1824 (2014)

    Article  Google Scholar 

  15. Lee, Y.S., Huang, Y.C., Kao, Y.H.: Physical activities and correlates of clinical nurses in Taipei municipal hospitals. J Nurs Res. 13(4), 281–292 (2005)

    Article  Google Scholar 

  16. Hoogendoorn, W.E., Bongers, P.M., de Vet, H.C., Douwes, M., Koes, B.W., Miedema, M.C., Ariëns, G.A., Bouter, L.M.: Flexion and rotation of the trunk and lifting at work are risk factors for low back pain: results of a prospective cohort study. Spine 25(23), 3087–3092 (2000)

    Article  Google Scholar 

  17. Coenen, P., Kingma, I., Boot, C.R., Twisk, J.W., Bongers, P.M., van Dieën, J.H.: Cumulative low back load at work as a risk factor of low back pain: a prospective cohort study. J. Occup. Rehabil. 23(1), 11–18 (2013)

    Article  Google Scholar 

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Correspondence to Massimiliano Pau .

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Porta, M., Campagna, M., Mura, G.M., Pau, M. (2020). Quantitative Assessment of Trunk Flexion in Nurses Using Wearable Inertial Sensor: A Pilot Study. In: Karwowski, W., Goonetilleke, R., Xiong, S., Goossens, R., Murata, A. (eds) Advances in Physical, Social & Occupational Ergonomics. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1215. Springer, Cham. https://doi.org/10.1007/978-3-030-51549-2_2

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  • DOI: https://doi.org/10.1007/978-3-030-51549-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51548-5

  • Online ISBN: 978-3-030-51549-2

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