Fizyoterapi Li̇sans Öğrenci̇leri̇ Arasında Akıllı Telefon Bağımlılığının Uyku Kali̇tesi̇ ve Algılanan Boyun Ağrısı Üzeri̇ndeki̇ Potansi̇yel Rolü: Çok Merkezli̇ Kesi̇tsel Bi̇r Çalışma
Year 2024,
, 61 - 70, 07.05.2024
Alper Tuğral
,
Yağmur Çam
Abstract
Amaç: Bu çalışmanın amacı, fizyoterapi lisans öğrencileri arasında akıllı telefon bağımlılığı, algılanan boyun ağrısı ve uyku kalitesi arasındaki olası ilişkileri analiz etmektir. Gereç ve Yöntem: Öğrencilerden Akıllı Telefon Bağımlılığı Ölçeği (ATBÖ), Boyun Bournemouth Anketi (BBA) ve Pittsburgh Uyku Kalitesi İndeksi (PUKİ) bir QR kod aracılığıyla online olarak erişilerek Google Formlar platformunda doldurmaları istendi. Sonuçlar: Bu çalışmaya 355 fizyoterapi lisans öğrencisi dahil edildi. PUKİ’de kötü uykunun göstergesi olarak kabul edilen 5 eşik değeri göz önüne alındığında, 355 öğrenciden 285'i (%80,3) bu eşik değerden daha yüksek puan (ortalama:9.73±2.68) gösterdi. Yapısal eşitlik modeli, BBA’nın ATBÖ üzerinde anlamlı bir etkisinin olduğunu (B= ,223; p=,031) ve ATBÖ’nün de PUKİ üzerinde anlamlı bir etkisinin olduğunu (B=.021; p=.003) gösterdi. BBA ile PUKİ arasındaki ilişkinin %7 'sinin ATBÖ’nün aracı rol oynamasıyla açıklandığı gösterildi. Tartışma: Akıllı telefon bağımlılığı, uyku kalitesi ve algılanan boyun ağrısı arasındaki ilişkiler, öğrencilerin akademik performansını korumak ve iyileştirmenin yanı sıra gelecekteki potansiyel kas-iskelet sistemi şikayetlerini önlemek için dikkate alınmalıdır.
References
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- Choi, D. (2015). Physical activity level, sleep quality, attention control and self-regulated learning along to smartphone addiction among college students. Journal of the Korea Academia-Industrial Cooperation Society, 16(1), 429-437. doi: 10.5762/KAIS.2015.16.1.429.
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- Demirci, K., Orhan, H., Demirdas, A., Akpinar, A., & Sert, H. (2014). Validity and reliability of the Turkish Version of the Smartphone Addiction Scale in a younger population. Psychiatry Clin Psychopharmacol, 24(3), 226-234. doi: 10.5455/bcp.20140710040824.
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- Fu, S., Chen, X., & Zheng, H. (2021). Exploring an adverse impact of smartphone overuse on academic performance via health issues: a stimulus-organism-response perspective. Behav Inf Technol, 40(7), 663-675. doi: 10.1080/0144929X.2020.1716848.
- Gao, W. J., Hu, Y., Ji, J. L., & Liu, X. Q. (2023). Relationship between depression, smartphone addiction, and sleep among Chinese engineering students during the COVID-19 pandemic. World J Psychiatry, 13(6), 361-375. doi: 10.5498/wjp.v13.i6.361.
- Greer, D. B. (2019). Exploring nursing students' smartphone use in the clinical setting. Medsurg Nurs, 28(2), 163-182.
- Hawi, N. S., & Samaha, M. (2017). Relationships among smartphone addiction, anxiety, and family relations. Behav Inf Technol, 36(10), 1046-1052. doi:10.1080/0144929X.2017.1336254
- Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: a regression-based approach (Third Edition) New York: Guilford Press.
- Hysing, M., Pallesen, S., Stormark, K. M., Jakobsen, R., Lundervold, A. J., & Sivertsen, B. (2015). Sleep and use of electronic devices in adolescence: results from a large population-based study. BMJ Open, 5(1), e006748. doi:10.1136/ bmjopen-2014-006748
- Inal, O., & Serel Arslan, S. (2021). Investigating the effect of smartphone addiction on musculoskeletal system problems and cognitive flexibility in university students. Work, 68(1), 107-113. doi: 10.3233/WOR-203361.
- Jo, N. H., & Lee, J. H. (2019). Correlation between smartphone addiction, sleep quality, and depression in college students. J Converg Inf Technol, 9(11), 202-211. doi:10.22156/CS4SMB.2019.9.11.202.
- Kim, H. J., & Kim, J. S. (2015). The relationship between smartphone use and subjective musculoskeletal symptoms and university students. J Phys Ther Sci, 27(3), 575-579. doi: 10.1589/jpts.27.575
- Kubiszewski, V., Fontaine, R., Rusch, E., & Hazouard, E. (2014). Association between electronic media use and sleep habits: an eight-day follow-up study. Int J Adolesc Youth, 19(3), 395-407. doi: 10.1080/02673843.2012.751039.
- Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., & Hahn, C. et al. (2013). Development and validation of a smartphone addiction scale (SAS). PloS One, 8(2), e56936. doi: 10.1371/journal.pone.0056936
- Lee, H. J. (2016). Neck pain and functioning in daily activities associated with smartphone usage. J Kor Phys Ther, 28(3), 183-188. doi: 10.18857/jkpt.2016.28.3.183.
- Metin, G., Topuz, S., & Yagci, G. (2023). Smartphone use affects gait performance, spinal kinematics and causes spinal musculoskeletal discomfort in young adults. Musculoskelet Sci Pract, 66, 102819. doi: 10.1016/j.msksp.2023.102819.
- Mireku, M. O., Barker, M. M., Mutz, J., Dumontheil, I., Thomas, M. S., & Röösli, M. et al. (2019). Night-time screen-based media device use and adolescents' sleep and health-related quality of life. Environ Int, 124, 66-78. doi: 10.1016/j.envint.2018.11.069.
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- Paek, K. S. (2017). A convergence study the association between addictive smart phone use, dry eye syndrome, upper extremity pain and depression among college students. J Korea Converg Soc, 8(1), 61-69. doi: 10.15207/JKCS.2017.8.1.061.
- Pakdee, S., & Sengsoon, P. (2020). Changes in gait pattern during smartphone and tablet use. Iran Rehabilitation J, 18(4), 475-484. doi: 10.32598/irj.18.4.1108.1.
- Park, J. H., Kang, S. Y., Lee, S. G., & Jeon, H. S. (2017). The effects of smart phone gaming duration on muscle activation and spinal posture: pilot study. Physiother Theory Pract, 33(8), 661-669. doi:10.1080/09593985.2017.1328716.
- Peng, P., Chen, Z., Ren, S., Liu, Y., He, R., & Liang, Y. et al. (2023). Determination of the cutoff point for Smartphone Application-Based Addiction Scale for adolescents: a latent profile analysis. BMC Psychiatry, 23(1), 675. doi: 10.1186/s12888-023-05170-4.
- Puntumetakul, R., Chatprem, T., Saiklang, P., Phadungkit, S., Kamruecha, W., & Sae-Jung, S. (2022). Prevalence and associated factors of clinical myelopathy signs in smartphone-using university students with neck pain. Int J Environ Res Public Health, 19(8), 4890. doi: 10.3390/ijerph19084890.
- 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. Int J Environ Res Public Health, 18(22), 12257. doi: 10.3390/ijerph182212257.
- Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Comput Hum Behav, 57, 321-325. doi: 10.1016/j.chb.2015.12.045.
Potential Role of Smartphone Addiction on Sleep Quality and Perceived Neck Pain Among Undergraduate Physiotherapy Students: A Multicentered Cross-Sectional Study
Year 2024,
, 61 - 70, 07.05.2024
Alper Tuğral
,
Yağmur Çam
Abstract
Purpose: This study aimed to analyze the possible associations between smartphone addiction, perceived neck pain, and sleep quality among undergraduate physiotherapy students. Material and methods: Students were asked to fill out the Smartphone Addiction Scale (SAS), the Neck Bournemouth Questionnaire (NBQ), and the Pittsburgh Sleep Quality Index (PSQI) on the Google Forms platform, accessed online via a QR code. Results: 355 physiotherapy students were included in this study. Considering the threshold value of 5 in PSQI which is accepted as an indicator of poor sleep, 285 out of 355 students (80.3%) showed higher scores (mean:9.73±2.68) than this threshold. A structural equation model showed that the NBQ had a significant effect on the SAS (B= .223; p=.031), and the SAS, in turn, had a significant effect on the PSQI (B=.021; p=.003). It was shown that 7% of the association between the NBQ and the PSQI was explained by the SAS acting as a mediator. Discussion: Smartphone addiction should be considered to prevent future potential musculoskeletal complaints as well as to preserve and improve the academic performance of students from the perspectives of the associations between sleep quality and perceived neck pain.
Ethical Statement
Ethical approval for the study was obtained from the Izmir Bakircay University Non-Interventional Clinical Research Ethics Committee (Protocol No:1254/1234-25102023)
Thanks
The Authors would like to thank students who voluntarily participated to this study.
References
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- Achangwa, C., Ryu, H. S., Lee, J. K., & Jang, J. D. (2022). Adverse effects of smartphone addiction among university students in South Korea: a systematic review. Healthcare (Basel, Switzerland), 11(1), 14. doi: 10.3390/healthcare11010014.
- Agargun, M.Y. (1996). Pittsburgh uyku kalitesi indeksinin gecerligi ve guvenirligi (The reliability and validity of Pittsburgh Sleep Quality Index). Turk Psikiyatri Dergisi, 7, 107-115. doi:10.21763/tjfmpc.971532.
- Agce, Z. B., Sahin, S., Yaran, M., Yuce, D., & Bumin, G. (2020). The Bournemouth questionnaire for neck pain: cross-cultural adaptation, reliability, and validity of the Turkish version. J Manipulative Physiol Ther, 43(7), 708-713. doi: 10.1016/j.jmpt.2018.11.039
- Akturk, U., & Budak, F. (2019). The correlation between the perceived social support of nursing students and smartphone addiction. Int J Caring Sci, 12(3), 1825-1836.
- Ayar, D., Gerçeker, G. Ö., Özdemir, E. Z., & Bektas, M. (2018). The effect of problematic internet use, social appearance anxiety, and social media use on nursing students' nomophobia levels. Comput Inform Nurs., 36(12), 589-595. doi: 10.1097/CIN.0000000000000458.
- Barrett, J. M., McKinnon, C., & Callaghan, J. P. (2020). Cervical spine joint loading with neck flexion. Ergonomics, 63(1), 101-108. doi: 10.1080/00140139.2019.1677944.
- Bruno, A. G., Burkhart, K., Allaire, B., Anderson, D. E., & Bouxsein, M. L. (2017). Spinal loading patterns from biomechanical modeling explain the high incidence of vertebral fractures in the thoracolumbar region. J Bone Miner Res, 32(6), 1282-1290. doi: 10.1002/jbmr.3113.
- Buysse, D. J., Reynolds III, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res, 28(2), 193-213. doi: 10.1016/0165-1781(89)90047-4.
- Carter, B., Rees, P., Hale, L., Bhattacharjee, D., & Paradkar, M. S. (2016). Association between portable screen-based media device access or use and sleep outcomes: a systematic review and meta-analysis. JAMA Pediatr, 170(12), 1202-1208. doi: 10.1001/jamapediatrics.2016.2341.
- Cho, S., & Lee, E. (2016). Distraction by smartphone use during clinical practice and opinions about smartphone restriction policies: a cross-sectional descriptive study of nursing students. Nurse Educ Today, 40, 128-133. doi: 10.1016/j.nedt.2016.02.021.
- Choi, D. (2015). Physical activity level, sleep quality, attention control and self-regulated learning along to smartphone addiction among college students. Journal of the Korea Academia-Industrial Cooperation Society, 16(1), 429-437. doi: 10.5762/KAIS.2015.16.1.429.
- Cohen, L. (2016). New Report Finds Teens Feel Addicted to Their Phones, Causing Tension at Home. Retrieved from the Web March 24, 2021. https://www.commonsensemedia.org/about-us/news/press-releases/new-report-finds-teens-feel-addicted-to-theirphones-causing-tension-at
- Demirci, K., Orhan, H., Demirdas, A., Akpinar, A., & Sert, H. (2014). Validity and reliability of the Turkish Version of the Smartphone Addiction Scale in a younger population. Psychiatry Clin Psychopharmacol, 24(3), 226-234. doi: 10.5455/bcp.20140710040824.
- Dewi, R. K., Efendi, F., Has, E. M. M., & Gunawan, J. (2018). Adolescents’ smartphone use at night, sleep disturbance and depressive symptoms. Int J Adolesc Med Health, 33(2), 20180095. doi: 10.1515/ijamh-2018-0095.
- Eitivipart, A. C., Viriyarojanakul, S., & Redhead, L. (2018). Musculoskeletal disorder and pain associated with smartphone use: a systematic review of biomechanical evidence. Hong Kong Physiother J, 38(02), 77-90. doi: 10.1142/S1013702518300010.
- Elm, E. V. (2007). The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Inter Med, 147, 573-577. doi: 10.1016/j.jclinepi.2007.11.008.
- Ertemel, A. V., & Ari, E. (2020). A marketing approach to a psychological problem: problematic smartphone use on adolescents. Int J Environ Res Public Health, 17(7), 2471. doi: 10.3390/ijerph17072471
- Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G* Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods, 39(2), 175-191. doi: 10.3758/bf03193146.
- Fu, S., Chen, X., & Zheng, H. (2021). Exploring an adverse impact of smartphone overuse on academic performance via health issues: a stimulus-organism-response perspective. Behav Inf Technol, 40(7), 663-675. doi: 10.1080/0144929X.2020.1716848.
- Gao, W. J., Hu, Y., Ji, J. L., & Liu, X. Q. (2023). Relationship between depression, smartphone addiction, and sleep among Chinese engineering students during the COVID-19 pandemic. World J Psychiatry, 13(6), 361-375. doi: 10.5498/wjp.v13.i6.361.
- Greer, D. B. (2019). Exploring nursing students' smartphone use in the clinical setting. Medsurg Nurs, 28(2), 163-182.
- Hawi, N. S., & Samaha, M. (2017). Relationships among smartphone addiction, anxiety, and family relations. Behav Inf Technol, 36(10), 1046-1052. doi:10.1080/0144929X.2017.1336254
- Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: a regression-based approach (Third Edition) New York: Guilford Press.
- Hysing, M., Pallesen, S., Stormark, K. M., Jakobsen, R., Lundervold, A. J., & Sivertsen, B. (2015). Sleep and use of electronic devices in adolescence: results from a large population-based study. BMJ Open, 5(1), e006748. doi:10.1136/ bmjopen-2014-006748
- Inal, O., & Serel Arslan, S. (2021). Investigating the effect of smartphone addiction on musculoskeletal system problems and cognitive flexibility in university students. Work, 68(1), 107-113. doi: 10.3233/WOR-203361.
- Jo, N. H., & Lee, J. H. (2019). Correlation between smartphone addiction, sleep quality, and depression in college students. J Converg Inf Technol, 9(11), 202-211. doi:10.22156/CS4SMB.2019.9.11.202.
- Kim, H. J., & Kim, J. S. (2015). The relationship between smartphone use and subjective musculoskeletal symptoms and university students. J Phys Ther Sci, 27(3), 575-579. doi: 10.1589/jpts.27.575
- Kubiszewski, V., Fontaine, R., Rusch, E., & Hazouard, E. (2014). Association between electronic media use and sleep habits: an eight-day follow-up study. Int J Adolesc Youth, 19(3), 395-407. doi: 10.1080/02673843.2012.751039.
- Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., & Hahn, C. et al. (2013). Development and validation of a smartphone addiction scale (SAS). PloS One, 8(2), e56936. doi: 10.1371/journal.pone.0056936
- Lee, H. J. (2016). Neck pain and functioning in daily activities associated with smartphone usage. J Kor Phys Ther, 28(3), 183-188. doi: 10.18857/jkpt.2016.28.3.183.
- Metin, G., Topuz, S., & Yagci, G. (2023). Smartphone use affects gait performance, spinal kinematics and causes spinal musculoskeletal discomfort in young adults. Musculoskelet Sci Pract, 66, 102819. doi: 10.1016/j.msksp.2023.102819.
- Mireku, M. O., Barker, M. M., Mutz, J., Dumontheil, I., Thomas, M. S., & Röösli, M. et al. (2019). Night-time screen-based media device use and adolescents' sleep and health-related quality of life. Environ Int, 124, 66-78. doi: 10.1016/j.envint.2018.11.069.
- Osorio-Molina, C., Martos-Cabrera, M. B., Membrive-Jiménez, M. J., Vargas-Roman, K., Suleiman-Martos, N., & Ortega-Campos, E. et al. (2021). Smartphone addiction, risk factors and its adverse effects in nursing students: a systematic review and meta-analysis. Nurse Educ Today, 98, 104741. doi: 10.1016/j.nedt.2020.104741.
- Paek, K. S. (2017). A convergence study the association between addictive smart phone use, dry eye syndrome, upper extremity pain and depression among college students. J Korea Converg Soc, 8(1), 61-69. doi: 10.15207/JKCS.2017.8.1.061.
- Pakdee, S., & Sengsoon, P. (2020). Changes in gait pattern during smartphone and tablet use. Iran Rehabilitation J, 18(4), 475-484. doi: 10.32598/irj.18.4.1108.1.
- Park, J. H., Kang, S. Y., Lee, S. G., & Jeon, H. S. (2017). The effects of smart phone gaming duration on muscle activation and spinal posture: pilot study. Physiother Theory Pract, 33(8), 661-669. doi:10.1080/09593985.2017.1328716.
- Peng, P., Chen, Z., Ren, S., Liu, Y., He, R., & Liang, Y. et al. (2023). Determination of the cutoff point for Smartphone Application-Based Addiction Scale for adolescents: a latent profile analysis. BMC Psychiatry, 23(1), 675. doi: 10.1186/s12888-023-05170-4.
- Puntumetakul, R., Chatprem, T., Saiklang, P., Phadungkit, S., Kamruecha, W., & Sae-Jung, S. (2022). Prevalence and associated factors of clinical myelopathy signs in smartphone-using university students with neck pain. Int J Environ Res Public Health, 19(8), 4890. doi: 10.3390/ijerph19084890.
- 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. Int J Environ Res Public Health, 18(22), 12257. doi: 10.3390/ijerph182212257.
- Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Comput Hum Behav, 57, 321-325. doi: 10.1016/j.chb.2015.12.045.