Investigation of the effect of technology and internet addictions on the musculoskeletal system in university students during the post-pandemic period

Main Article Content

Emel Tasvuran Horata


Objective: The COVID-19 pandemic caused the habits of university students to have spent more time with technological devices and the internet. This study is aimed to investigate the effect of technology and internet addictions of university students on the musculoskeletal (MSK) problems during the post-pandemic period.

Materials and Methods: This cross-sectional study was conducted with 368 university students. The Nordic Musculoskeletal Questionnaire, Pain Numerical Rating Scale, Technology Addiction Scale (TAS), Young's Internet Addiction Test-Short Form (YIAT-SF), and Örebro Musculoskeletal Screening Questionnaire-12-TR (Örebro-12-TR) were applied. Multiple linear regression analysis was performed to assess the effect of technology addiction and internet addiction on the MSK problem.

Results: The mean TAS score of the participants was 45.94±15.46, the mean YIAT-SF score was 24.56±9.52, and the mean Örebro-12-TR score was 35.55±17.14. Technology (p=0.037) and internet addiction (p=0.001) variables had a significant effect on MSK problem. This model can explain 18.4% of the total variance in the risk of developing MSK problems (adjusted R2=0.184).

Conclusion: This study showed that internet and technology addictions affected the MSK problems during the post-pandemic period. Interventions and training programs could reduce the risk of MSK problems.


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How to Cite
Tasvuran Horata, E. . (2022). Investigation of the effect of technology and internet addictions on the musculoskeletal system in university students during the post-pandemic period. Medical Science and Discovery, 9(12), 650–655.
Research Article
Received 2022-12-16
Accepted 2022-12-23
Published 2022-12-25


Szucs KA, Cicuto K, Rakow M. A comparison of upper body and limb postures across technology and handheld device use in college students. J Phys Ther Sci. 2018;30(10):1293-300.

Borhany T, Shahid E, Siddique WA, Ali H. Musculoskeletal problems in frequent computer and internet users. Journal of family medicine and primary care. 2018;7(2):337-9.

Woessner MN, Tacey A, Levinger-Limor A, Parker AG, Levinger P, Levinger I. The Evolution of Technology and Physical Inactivity: The Good, the Bad, and the Way Forward. Frontiers in Public Health. 2021;9:655491.

Aktürk S, Büyükavcı R, Aktürk Ü. Relationship between musculoskeletal disorders and physical inactivity in adolescents. Journal of Public Health. 2019;27(1):49-56.

Gerr F, Marcus M, Monteilh C. Epidemiology of musculoskeletal disorders among computer users: lesson learned from the role of posture and keyboard use. Journal of Electromyography and Kinesiology. 2004;14(1):25-31.

Szeto GP, Straker LM, O’Sullivan PB. A comparison of symptomatic and asymptomatic office workers performing monotonous keyboard work-1: neck and shoulder muscle recruitment patterns. Manual therapy. 2005;10(4):270-80.

Briggs A, Straker L, Greig A. Upper quadrant postural changes of school children in response to interaction with different information technologies. Ergonomics. 2004;47(7):790-819.

Greig AM, Straker LM, Briggs AM. Cervical erector spinae and upper trapezius muscle activity in children using different information technologies. Physiotherapy. 2005;91(2):119-26.

Burkauskas J, Gecaite-Stonciene J, Demetrovics Z, Griffiths MD, Király O. Prevalence of problematic Internet use during the coronavirus disease 2019 pandemic. Current opinion in behavioral sciences. 2022;46:101179.

İnal Ö, Serel Arslan S. Investigating the effect of smartphone addiction on musculoskeletal system problems and cognitive flexibility in university students. Work. 2021;68:107-13.

Green SB. How Many Subjects Does It Take To Do A Regression Analysis. Multivariate behavioral research. 1991;26(3):499-510.

Kahraman T, Genç A, Göz E. The Nordic Musculoskeletal Questionnaire: cross-cultural adaptation into Turkish assessing its psychometric properties. Disability and rehabilitation. 2016;38(21):2153-60.

Boonstra AM, Stewart RE, Köke AJ, Oosterwijk RF, Swaan JL, Schreurs KM, et al. Cut-Off Points for Mild, Moderate, and Severe Pain on the Numeric Rating Scale for Pain in Patients with Chronic Musculoskeletal Pain: Variability and Influence of Sex and Catastrophizing. Frontiers in psychology. 2016;7:1466.

Oğuz E, Ulutaş A, Nisan F, Görgen AN, Cumurcu HB. Üniversite öğrencilerinde teknoloji ve internet bağımlılığı arasındaki ilişkinin incelenmesi. Batman Üniversitesi Yaşam Bilimleri Dergisi. 2019;9(2):167-82.

Kutlu M, Savcı M, Demir Y, Aysan F. Young İnternet Bağımlılığı Testi Kısa Formunun Türkçe uyarlaması: Üniversite öğrencileri ve ergenlerde geçerlilik ve güvenilirlik çalışması. Anadolu Psikiyatri Dergisi. 2016;17(1):69-76.

Veirman E, Van Ryckeghem DM, De Paepe A, Kirtley OJ, Crombez G. Multidimensional screening for predicting pain problems in adults: a systematic review of screening tools and validation studies. Pain reports. 2019;4(5) :e775.

Tasvuran Horata E, Demir P, Yağcı G, Erel S, Eken F, Gabel CP. The validity and reliability of the Turkish version of the 12-item Örebro musculoskeletal screening questionnaire (ÖMSQ-12-TR). Disability and rehabilitation. 2022:1-8. doi: 10.1080/09638288.2022.2089918.

George D. SPSS for windows step by step: A simple study guide and reference, 17.0 update, 10/e: Pearson Education India; 2011.

Cohen J. Statistical power analysis for the behavioral sciences: Routledge; 2013.

Pawlikowski M, Altstötter-Gleich C, Brand M. Validation and psychometric properties of a short version of Young’s Internet Addiction Test. Computers in Human Behavior. 2013;29(3):1212-23.

Gabel CP, Burkett B, Melloh M. The shortened Örebro Musculoskeletal Screening Questionnaire: evaluation in a work-injured population. Man Ther. 2013;18(5):378-85.

Sherer J, Levounis P. Technological Addictions. Current Psychiatry Reports. 2022;24(9):399-406.

Ryding FC, Kaye LK. "Internet Addiction": a Conceptual Minefield. International journal of mental health and addiction. 2018;16(1):225-32.

Hosen I, Al Mamun F, Sikder MT, Abbasi AZ, Zou L, Guo T, et al. Prevalence and associated factors of problematic smartphone use during the COVID-19 pandemic: A Bangladeshi study. Risk management and healthcare policy. 2021;14:3797.

Li YY, Sun Y, Meng SQ, Bao YP, Cheng JL, Chang XW, et al. Internet addiction increases in the general population during COVID‐19: Evidence from China. The American journal on addictions. 2021;30(4):389-97.

Ozturk FO, Ayaz-Alkaya S. Internet addiction and psychosocial problems among adolescents during the COVID-19 pandemic: A cross-sectional study. Archives of psychiatric nursing. 2021;35(6):595-601.

Canan F, Ataoglu A, Ozcetin A, Icmeli C. The association between Internet addiction and dissociation among Turkish college students. Comprehensive psychiatry. 2012;53(5):422-6.

Guven Ozdemir N, Sonmez M. The relationship between nursing students' technology addiction levels and attitudes toward e‐learning during the COVID‐19 pandemic: A cross‐sectional study. Perspectives in Psychiatric Care. 2021;57(3):1442-8.

Woolf AD, Erwin J, March L. The need to address the burden of musculoskeletal conditions. Best practice & research Clinical rheumatology. 2012;26(2):183-224.

Obembe AO, Johnson OE, Tanimowo TO, Onigbinde AT, Emechete AA. Musculoskeletal pain among undergraduate laptop users in a Nigerian University. Journal of back and musculoskeletal rehabilitation. 2013;26(4):389-95.

Hendi OM, Alturkistani LH, Bajaber AS, Alhamoud MA, Mahmoud Mahfouz ME. Prevalence of Musculoskeletal Disorder and its Relation to Stress Among Medical Student at Taif University, Saudi Arabia. International journal of preventive medicine. 2021;12:98.

Indu Priya Gunnam, Ahmed Thajudeen, Sivanandam M. To find out prevalence of musculoskeletal pain by carrying heavy handbags among college girls and its relation with their BMI. Int J of Adv Res. 2018;6:783-802.

Yang G, Cao J, Li Y, Cheng P, Liu B, Hao Z, et al. Association between internet addiction and the risk of musculoskeletal pain in Chinese college freshmen–a cross-sectional study. Frontiers in psychology. 2019;10:1959.

Woo EHC, White P, Lai CWK. Musculoskeletal impact of the use of various types of electronic devices on university students in Hong Kong: An evaluation by means of self-reported questionnaire. Manual Therapy. 2016;26:47-53.

AlAbdulwahab SS, Kachanathu SJ, AlMotairi MS. Smartphone use addiction can cause neck disability. Musculoskeletal care. 2017;15(1):10-2.

Xie Y, Szeto G, Dai J. Prevalence and risk factors associated with musculoskeletal complaints among users of mobile handheld devices: A systematic review. Applied ergonomics. 2017;59(Pt A):132-42.

Pan F, Laslett L, Blizzard L, Cicuttini F, Winzenberg T, Ding C, et al. Associations between fat mass and multisite pain: a five‐year longitudinal study. Arthritis care & research. 2017;69(4):509-16.

Songül K, Serkan İ, AKTUĞ ZB, Hasan A. Üniversite Öğrencilerinin Kas İskelet Sistemi Rahatsızlıkları ile Fiziksel Aktivite Düzeyi ve İnternet Bağımlılığı Arasındaki İlişkinin İncelenmesi. Uluslararası Güncel Eğitim Araştırmaları Dergisi. 2021;7(2):709-21.