Anıl ALTIPARMAK, Muhammed Furkan ARPACI, Merve AYDIN, Feyza İNCEOĞLU, Hıdır PEKMEZ

Investigation of the Effects of Smartphone Use on the Dominant Thumb and Wrist of University Students

Aim: In this study, the effects of the addiction level of smartphone use in university students on the range of motion and proprioception of the dominant hand, wrist range of motion (ROM), and thumb ROM were investigated. Material and Methods: Wrist and thumb ROMs were measured with a manual goniometer with a sensitivity of 1 degree, and hand grip strength was measured with a hand grip dynamometer in a total of 100 volunteer university students with a mean age of 18-25. Smartphone Addiction Scale-Short Form (SAS-SF) and Patient Rated Wrist and Hand Evaluation (PRWHE) questionnaire were applied to the students. Statistical analyzes were made using the SPSS 25 program. Results: The students’ usage time of smartphones and addiction levels do not affect the hand grip strength; the increase in smartphone addiction statistically correlates with the right thumb flexion (0.016) and abduction ROMs (0.015), statistically correlated with increased pain level in daily life and statistically correlated with the decrease of the wrist radial deviation ROM (0.009). As the duration of smartphone use increases, the error rate in right thumb abduction proprioception statistically increases (0.027). In addition, we determined the statistically correlations in both thumb flexion and abduction movements. Conclusion: We determined that the excessive usage of smartphones affects the ROM of thumb flexion and abduction, the ROM of wrist radial deviation, and the proprioception of thumb abduction, and it does not affect the hand grip strength. The findings of our research will be a source for future studies.

Keywords:

Proprioception of thumb, Smartphone addiction, hand grip strength, Wrist ROM,

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1. Zhao S, Ramos J, Tao J, et al. Discovering different kinds of smartphone users through their application usage behaviors. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 2016:498-509.
2. Bian M, Leung L. Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Soc Sci Comput Rev. 2015;33:61-79.
3. Kwon M, Lee JY, Won WY, et al. Development and Validation of a Smartphone Addiction Scale (SAS). PLoS one. 2013;8:e56936.
4. Harwood J, Dooley JJ, Scott AJ, Joiner R. Constantly connected – the effects of smart-devices on mental health. Comput Hum Behav. 2014;34:267-72.
5. Kim JH, Seo M, David P. Alleviating depression only to become problematic mobile phone users: can face-to-face communication be the antidote? Comput Hum Behav. 2015;51:440-7.
6. World Health Organization (WHO). Public health implications of excessive use of the internet, computers, smartphones and similar electronic devices: Meeting Report, Main Meeting Hall, Foundation for Promotion of Cancer Research, National Cancer Research Centre, Tokyo, Japan, August 2014. World Health Organization. 2015;27-9.
7. Heroux ME, Butler AA, Robertson LS, et al. Proprioception: a new look at an old concept. J Appl Physiol. 2022;132:811-4.
8. Oulasvirta A, Rattenbury T, Ma L, Raita E. Habits make smartphone use more pervasive. Pers Ubiquitous Comput. 2012;16:105-14.
9. American Psychiatric Association (APA), Diagnostic statistical manual of mental disorders (DSM). 5th edition. American Psychiatric Association (APA). 2013;591-643.
10. Kibona L, Mgaya G. Smartphones’ effects on academic performance of higher learning students. J Multidiscip Eng Sci Technol. 2015;2:777-84.
11. Lipošek S, Planinšec J, Leskošek B, Pajtler A. Physical activity of university students and its relation to physical fitness and academic success. Ann Kinesiol. 2018;9:89-104.
12. Reigal RE, Barrero S, Martín I, et al. Relationships between reaction time, selective attention, physical activity, and physical fitness in children. Front Psychol. 2019;10:2278.
13. Weinstein AM. Computer and video game addiction-a comparison between game users and non-game users. Am J Drug Alcohol Abuse. 2010;36:268-76.
14. Hoseini N, Sexton BM, Kurtz K, et al. Adaptive staircase measurement of hand proprioception. PLoS One. 2015;10:e0135757.
15. Cho S, Kim S. Immediate effect of Immediate effect of stretching and ultrasound on hamstring flexibility and proprioception. J Phys Ther Sci. 2016;28:1806-8.
16. Landelle C, El Ahmadi A, Kavounoudias A. Age-related impairment of hand movement perception based on muscle proprioception and touch. Neuroscience. 2018;381:91-104.
17. Otman AS, Demirel H, Sade A. Tedavi Hareketlerinde Temel Değerlendirme Prensipleri. Pelikan yayıncılık. 2014;172-3.
18. Dorf ER, Chhabra AB, Golish SR, et al. Effect of elbow position on grip strength in the evaluation of lateral epicondylitis. J Hand Surg. 2007;32:882-6.
19. Noyan CO, Darcin AE, Nurmedov S, et al. Validity and reliability of the Turkish version of the smartphone addiction scale-short version among university students. Anatolian Journal of Psychiatr. 2015;16:73-81.
20. Öke Topcu D. Prwhe (Patıent Rated Wrıst/Hand Evaluatıon)’nın Türkçe versiyonun (Prwhe-T) Türk popülasyonunda kültürler arası adaptasyon, geçerlilik ve güvenilirliğinin çalışılması ve Prwhe’nin fizikometrik özelliklerinin ölçülmesi. Master thesis, Başkent University, Ankara, 2014.
21. Alpar R. Kuramsal dağılımlar. In: Spor Sağlık ve Eğitim Bilimlerinden Örneklerle Uygulamalı İstatistik ve Geçerlik Güvenilirlik. 6th. edition. Detay Yayıncılık, Ankara, 2020;165-218.
22. Pearson C, Hussain Z. Smartphone addiction and associated psychological factors. Addicta Turk J Addict. 2016;3:193-207.
23. Poushter J. Smartphone ownership and internet usage continues to climb in emerging economies. Pew Res Cent. 2016;22:1-44.
24. Bartwal J, Nath B. Evaluation of nomophobia among medical students using smartphone in north India. Med J Armed Forces India. 2020;76:451-5.
25. Güneş NA, Gücük S. The relationship between nomophobia levels and academic successes in medical faculty students. Turk J Fam Med Prim Care. 2020;14:396-402.
26. Jilisha G, Venkatachalam J, Menon V, Olickal JJ. Nomophobia: a mixed-methods study on prevalence, associated factors, and perception among college students in Puducherry, India. Indian J Psychol Med. 2019;41:541-8.
27. Sirakaya M. Examination of associate students' nomophobia levels according to smart phone use. Mersin University Journal of the Faculty of Education. 2018;14:714-27.
28. Yilmaz D, Çinar Gökder H, Özyazicioğlu N. The examination of relationship between smart phone, internet addiction and upper extremity fuctional activity levels among nursing students. Sdü Sağlık Bilimleri Enstitüsü Dergisi. 2017;8:34-9.
29. Gezgin DM, Çakır Ö. Analysis of nomofobic behaviors of adolescents regarding various factors. J Hum Sci. 2016;13:2504-19.
30. Yildirim C, Correia AP. Exploring the dimensions of nomophobia: development and validation of a self-reported questionnaire. Comput Hum Behav. 2015;49:130-7.
31. Gay A, Harbst K, Hansen DK, et al. Effect of partial wrist denervation on wrist kinesthesia: wrist denervation does not impair proprioception. J Hand Surg. 2011;36:1774-9.
32. Patterson RW, Van Niel M, Shimko P, et al. Proprioception of the wrist following posterior interosseous sensory neurectomy. J Hand Surg Am. 2010;35:52-6.
33. Jung SI, Lee NK, Kang KW, et al. The effect of smartphone usage time on posture and respiratory function. J Phys Ther Sci. 2016;28:186-9.
34. Eapen C, Kumar B, Bhat AK. Prevalence of cumulative trauma disorders in cell phone users. J Musculoskelet Res. 2010;13:137-45.
35. Gustafsson E, Thomée S, Grimby-Ekman A, Hagberg M. Texting on mobile phones and musculoskeletal disorders in young adults: a five-year cohort study. Appl Ergon. 2017;58:208-14.
36. Berolo S, Wells RP, Amick III BC. Musculoskeletal symptoms among mobile hand-held device users and their relationship to device use: a preliminary study in a Canadian University population. Appl Ergon. 2011;42:371-8.
37. İnal EE, Demirci K, Çetintürk A, et al. Effects of smartphone overuse on hand function, pinch strength, and the median nerve. Muscle Nerve. 2015;52:183-8.
38. Choi YS. A study on the smartphone addiction and physical pain in the university students. Biomed Res. 2018;29:3162-8.
39. Turgay T, Yılbaş B. Üniversite Relationship of Smartphone Addiction with Musculoskeletal System Pain, Depression and Sleep Quality in University Students. Bağımlılık Dergisi. 2022;23:153-61.