The correlation between smartphone use and musculoskeletal symptom
DOI:
https://doi.org/10.59796/jcst.V13N2.2023.1747Keywords:
ergonomic risk, musculoskeletal disorders (MSDs), Numerical Rating Scale (NRS), Rapid Upper Limb Assessment (RULA), Smartphone, Standardised Nordic Questionnaires (SNQ)Abstract
Several issues arise from using smartphones while sitting and lying down, such as poor posture and physical discomfort. Therefore, this research aims to assess the ergonomic risk level of smartphone users and determine the correlation between self-reported musculoskeletal disorders (MSDs) and ergonomic risk level. Data were collected from 90 participants, aged 18 to 24, through video recording while seated and using a smartphone. MSDs were measured using the Modified Standardised Nordic Questionnaires (SNQ) and the Numerical Rating Scale (NRS). Rapid Upper Limb Assessment (RULA) was used to evaluate ergonomic risks in the posture of smartphone users. Furthermore, the correlation between MSDs and the ergonomic risk levels was evaluated using Chi-Square and Fisher's exact tests. Most smartphone users had RULA scores between 6 and 7 for both the left and right sides, suggesting a need for immediate investigation and improvement. The results showed a strong correlation between the right sided RULA total score and MSDs in the neck and upper back. Other results showed there was a significant correlation between RULA B and RULA D scores with neck MSDs, as well as between the RULA score of the right upper arm and MSDs in the right shoulder, and between the RULA score of the neck and MSDs in the neck. The trunk RULA score also had a significant correlation with upper back MSDs. The research showed that smartphone users face significant ergonomic risks.
References
Alfaitouri, S., & Altaboli, A. (2019). The Effect of Posture and Duration of Smartphone Usage on Neck Flexion Angle. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 962–966. https://doi.org/10.1177/1071181319631137
Alhusuny, A., Cook, M., Khalil, A., Xie, Y., & Johnston, V. (2020). Neck/Shoulder Problems and Visual Disturbances Among Surgeons: A Scoping Review. The Journal of Surgical Research, 247, 413–428. https://doi.org/10.1016/j.jss.2019.09.064
Alsiwed, K. T., Alsarwani, R. M., Alshaikh, S. A., Howaidi, R. A., Aljahdali, A. J., & Bassi, M. M. (2021). The prevalence of text neck syndrome and its association with smartphone use among medical students in Jeddah, Saudi Arabia. Journal of Musculoskeletal Surgery and Research, 5(4), 266-272. https://doi.org/10.25259/JMSR_99_2021
Awan, M., Ali, S., Ali, M., Abrar, M. F., Ullah, H., & Khan, D. (2021). Usability Barriers for Elderly Users in Smartphone App Usage: An Analytical Hierarchical Process-Based Prioritization. Scientific Programming, 2021, 1-14. https://doi.org/10.1155/2021/2780257
Cetin, H., Turkmen, C., Bal, G. A., Tekerlek, H., Bilgin, S., & Köse, N. (2022). Factors affecting the performance of the deep cervical flexors in young people using smartphones. CRANIO®, 41(4), 380-388. https://doi.org/10.1080/08869634.2022.2078944
Charles, L. E., Ma, C. C., Burchfiel, C. M., & Dong, R. G. (2018). Vibration and ergonomic exposures associated with musculoskeletal disorders of the shoulder and neck. Safety and health at work, 9(2), 125-132. https://doi.org/10.1016/j.shaw.2017.10.003
Chen, Y. L., Chen, K. H., Cheng, Y. C., & Chang, C. C. (2022). Field study of postural characteristics of standing and seated smartphone use. International Journal of Environmental Research and Public Health, 19(8), Article 4583. https://doi.org/10.3390/ijerph19084583
D’Anna, C., Schmid, M., & Conforto, S. (2021). Linking head and neck posture with muscular activity and perceived discomfort during prolonged smartphone texting. International Journal of Industrial Ergonomics, 83, 103134. https://doi.org/10.1016/j.ergon.2021.103134
Dennerlein, J. T. (2015). The state of ergonomics for mobile computing technology. Work (Reading, Mass.), 52(2), 269–277. https://doi.org/10.3233/WOR-152159
Eitivipart, A. C., Viriyarojanakul, S., & Redhead, L. (2018). Musculoskeletal disorder and pain associated with smartphone use: A systematic review of biomechanical evidence. Hong Kong Physiotherapy Journal, 38(02), 77-90. https://doi.org/10.1142/S1013702518300010
Eom, S.-H., Choi, S.-Y., & Park, D.-H. (2013). An empirical study on the relationship between symptoms of musculoskeletal disorders and amount of smartphone usage. Journal of the Korea Safety Management & Science, 15(2), 113–120. https://doi.org/10.12812/ksms.2013.15.2.113
Ericsson Mobility Report. (2021, September 22). Retrieved form https://www.ericsson.com/en/reports-and-papers/mobility-report/reports/november-2021
Gałczyk, M., Zalewska, A., Białokoz-Kalinowska, I., & Sobolewski, M. (2021). Chronic Back Condition and the Level of Physical Activity as Well as Internet Addiction among Physiotherapy Students during the COVID-19 Pandemic in Poland. International Journal of Environmental Research and Public Health, 18(13), Article 6718. https://doi.org/10.3390/ijerph18136718
Habibi, E., Mohammadi, Z., & Sartang, A. G. (2016). Ergonomic assessment of musculoskeletal disorders risk among the computer users by Rapid Upper Limb Assessment method. International Journal of Environmental Health Engineering, 5(1), Article 15. https://doi.org/10.4103/2277-9183.190641
Habibillah, N. H. A., & Romli, F. I. (2022). Anthropometric Measurements of Malaysian Population for Passenger Cabin Design of Transport Aircraft. Journal of Mechanical Engineering, 19(1), 99–112. https://doi.org/10.24191/jmeche.v19i1.19689
Han, H., & Shin, G. (2019). Head flexion angle when web-browsing and texting using a smartphone while walking. Applied Ergonomics, 81, Article 102884. https://doi.org/10.1016/j.apergo.2019.102884
Hawker, G. A., Mian, S., Kendzerska, T., & French, M. (2011). Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP). Arthritis care & research, 63(S11), S240-S252. https://doi.org/10.1002/acr.20543
Jain, R., Meena, M. L., & Rana, K. B. (2022). Risk factors of musculoskeletal symptoms among mobile device users during work from home. International Journal of Occupational Safety and Ergonomics, 28(4), 2262–2268. https://doi.org/10.1080/10803548.2021.1979318
Jain, R., Rana, K. B., & Meena, M. L. (2021). Association of individual and device usage factors with musculoskeletal disorders amongst handheld devices users during homestay due to pandemic. International Journal of Workplace Health Management, 14(6), 605–619. https://doi.org/10.1108/IJWHM-06-2020-0104
Jain, R., Rana, K. B., Meena, M. L., & Verma, V. (2022). Application of the best-worst method approach for prioritizing risk factors of musculoskeletal disorders among mobile device users: A case study. Work, 73(2), 559–568. https://doi.org/10.3233/WOR-205148
Kaur, S. (2021). Sample Size Determination. International Journal of Current Research, 09, 48365–48367.
Kaya Aytutuldu, G., Birinci, T., & Tarakcı, E. (2022). Musculoskeletal pain and its relation to individual and work-related factors: A cross-sectional study among Turkish office workers who work using computers. International Journal of Occupational Safety and Ergonomics, 28(2), 790–797. https://doi.org/10.1080/10803548.2020.1827528
Keown, G. A., & Tuchin, P. A. (2018). Workplace Factors Associated With Neck Pain Experienced by Computer Users: A Systematic Review. Journal of Manipulative and Physiological Therapeutics, 41(6), 508–529. https://doi.org/10.1016/j.jmpt.2018.01.005
Kim, H.-J., & Kim, J.-S. (2015). The relationship between smartphone use and subjective musculoskeletal symptoms and university students. Journal of Physical Therapy Science, 27(3), 575–579. https://doi.org/10.1589/jpts.27.575
Kristanto, A., Neubert, M. S., Puntumetakul, R., & Sessomboon, W. (2019). Adaptable ergonomic interventions for patients with cerebral palsy to rice farmers activities: Reviews and recommendations. Asia-Pacific Journal of Science and Technology, 24(4). 1-9.
Kuorinka, I., Jonsson, B., Kilbom, A., Vinterberg, H., Biering-Sørensen, F., Andersson, G., & Jørgensen, K. (1987). Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Applied Ergonomics, 18(3), 233–237. https://doi.org/10.1016/0003-6870(87)90010-X
Lallukka, T., Viikari-Juntura, E., Viikari, J., Kähönen, M., Lehtimäki, T., Raitakari, O. T., & Solovieva, S. (2017). Early work-related physical exposures and low back pain in midlife: The Cardiovascular Risk in Young Finns Study. Occupational and Environmental Medicine, 74(3), 163–168. https://doi.org/10.1136/oemed-2016-103727
Lee, R., James, C., Edwards, S., & Snodgrass, S. J. (2022). Differences in upper body posture between individuals with and without chronic idiopathic neck pain during computerised device use: A 3D motion analysis study. Gait & Posture, 95, 30–37. https://doi.org/10.1016/j.gaitpost.2022.03.017
Legan, M., & Zupan, K. (2022). Prevalence of mobile device-related musculoskeletal pain among working university students: A cross-sectional study. International Journal of Occupational Safety and Ergonomics, 28(2), 734–742. https://doi.org/10.1080/10803548.2020.1827561
McAtamney, L., & Corlett, E. N. (1993). RULA: A survey method for the investigation of work-related upper limb disorders. Applied Ergonomics, 24(2), 91–99. https://doi.org/10.1016/0003-6870(93)90080-s
Merkus, S. L., Mathiassen, S. E., Lunde, L. K., Koch, M., Wærsted, M., Forsman, M., ... & Veiersted, K. B. (2021). Can a metric combining arm elevation and trapezius muscle activity predict neck/shoulder pain? A prospective cohort study in construction and healthcare. International Archives of Occupational and Environmental Health, 94(4), 647–658. https://doi.org/10.1007/s00420-020-01610-w
Namwongsa, S., Puntumetakul, R., Neubert, M. S., & Boucaut, R. (2018). Factors associated with neck disorders among university student smartphone users. Work (Reading, Mass.), 61(3), 367–378. https://doi.org/10.3233/WOR-182819
OSH. (2022). Risk factors for musculoskeletal disorders—Working postures. Retrieved form https://oshwiki.eu/wiki/Risk_factors_for_musculoskeletal_disorders_%E2%80%94_working_postures#cite_note-3
OSHA. (2000). Ergonomics: The Study of Work. Washington, DC, US: U.S. Department of Labor.
Øverås, C. K., Villumsen, M., Axén, I., Cabrita, M., Leboeuf‐Yde, C., Hartvigsen, J., & Mork, P. J. (2020). Association between objectively measured physical behaviour and neck‐and/or low back pain: A systematic review. European Journal of Pain, 24(6), 1007-1022. https://doi.org/10.1002/ejp.1551
Prairie, J., Plamondon, A., Hegg-Deloye, S., Larouche, D., & Corbeil, P. (2016). Biomechanical risk assessment during field loading of hydraulic stretchers into ambulances. International Journal of Industrial Ergonomics, 54, 1–9. https://doi.org/10.1016/j.ergon.2015.11.014
Ratan, Z. A., Parrish, A. M., Zaman, S. B., Alotaibi, M. S., & Hosseinzadeh, H. (2021). Smartphone addiction and associated health outcomes in adult populations: a systematic review. International journal of environmental research and public health, 18(22), 12257. https://doi.org/10.3390/ijerph182212257
Roggio, F., Trovato, B., Ravalli, S., Di Rosa, M., Maugeri, G., Bianco, A., ... & Musumeci, G. (2021). One year of COVID-19 pandemic in Italy: effect of sedentary behavior on physical activity levels and musculoskeletal pain among university students. International journal of environmental research and public health, 18(16), 8680. https://doi.org/10.3390/ijerph18168680
Samaei, S. E., Tirgar, A., Khanjani, N., Mostafaee, M., & Bagheri Hosseinabadi, M. (2017). Effect of personal risk factors on the prevalence rate of musculoskeletal disorders among workers of an Iranian rubber factory. Work (Reading, Mass.), 57(4), 547–553. https://doi.org/10.3233/WOR-172586
Shinde, S., Aa, V., & Bhore, P. (2022). Correlation between the Guyon Canal Syndrome and the Forward Head Posture in Prolonged Smartphone Users. International Journal of Occupational Safety and Health, 12(4), 275–283. https://doi.org/10.3126/ijosh.v12i4.42537
Tao, D., Yang, K., Zhang, T., & Qu, X. (2022). Typing with mobile devices: A comparison of upper limb and shoulder muscle activities, typing performance and perceived workload under varied body postures, typing styles and device types. Applied Ergonomics, 102, 103760. https://doi.org/10.1016/j.apergo.2022.103760
Tapanya, W., & Puntumetakul, R. (2019). Prevalence and risk factors of musculoskeletal disorders in smartphone users. Journal of Physical Therapy, 41(3), 148–163.
Toh, S. H., Coenen, P., Howie, E. K., & Straker, L. M. (2017). The associations of mobile touch screen device use with musculoskeletal symptoms and exposures: A systematic review. PloS One, 12(8), e0181220. https://doi.org/10.1371/journal.pone.0181220
Turner, A. (2018, July 10). How Many People Have Smartphones Worldwide (Jan 2022). BankMyCell. Retrieved form https://www.bankmycell.com/blog/how-many-phones-are-in-the-world
Van der Molen, H. F., Foresti, C., Daams, J. G., Frings-Dresen, M. H., & Kuijer, P. P. F. (2017). Work-related risk factors for specific shoulder disorders: a systematic review and meta-analysis. Occupational and environmental medicine, 74(10), 745-755. https://doi.org/10.1136/oemed-2017-104339
Xie, Y., Szeto, G., Madeleine, P., & Tsang, S. (2018). Spinal kinematics during smartphone texting-A comparison between young adults with and without chronic neck-shoulder pain. Applied Ergonomics, 68, 160–168. https://doi.org/10.1016/j.apergo.2017.10.018
Yang, W. C., Lin, C. N., & Hu, P. H. (2020). Willingness and Obstacles of Food and Farming Education in Leisure Farm Management: Viewpoint of Experience Activities. Open Access Library Journal, 7(6), 1-14. https://doi.org/10.4236/oalib.1106485
Yoopat, P., Kladkunsaeng, S., Chotisutra, K., & Vanwonterghem, K. (2019). The impact of using smartphones in two different sitting postures on muscle tension and fatigue in Thai young adults: A pilot study. Journal of Current Science and Technology, 9(2), 149–160. https://doi.org/10.14456/JCST.2019.15
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