Hüseyin BÜYÜKGÖL, Faik ILIK

The effect of overuse of smartphone on sleep quality in patients with multiple scleros

Aim: The aim of this study was to investigate the relationship between sleep quality and smartphone use in patients with MS.Material and Methods: Expanded Disability Status Scale (EDSS) was administered to evaluate MS related disability in patients.Sleep quality was assessed by Pittsburgh Sleep Quality Index (PSQI). Smartphone addiction scale (SAS) was used to measure thefrequency of smartphone use.Results: Fifty-six MS patients with a mean age of 36.35 ± 8.03 were included in the current study. All patients had relapsing remittingMS and EDSS scores were detected lower than 3. Sleep disorder was found in 22 patients (39.3%). No significant difference wasfound in MS patients with sleep disorder in terms of patient age and sex compared to MS patients without sleep disorder (p valuesrespectively 0.687; 0.057). No significant difference was found in terms of duration of disease, medication and EDSS score (1.000;0.256; 0.406). The mean SAS scores was found significantly higher in MS patients with sleep disorder (p=0.001).Conclusion: Overuse of smartphones in patients with MS may reduce sleep quality.

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1. Crayton HJ, Rossman HS. Managing the symptoms of multiple sclerosis: a multimodal approach. Clin Ther 2006;28:445–60.
2. Bamer AM, Johnson KL, Amtmann D, et al. Prevalence of sleep problems in individuals with multiple sclerosis. Multiple Sclerosis 2008;14:1127–30.
3. Veauthier C. Sleep disorders in multiple sclerosis. Review. Curr Neurol Neurosci Rep 2015;15:21.
4. International Data Corporation (IDC) (2013). Third quarter report 2013. Retrieved from http://www.idc.com/getdoc. jsp?containerId=prUS24418013.
5. Lan Y, Ding JE, Li W, et al. A pilot study of a group mindfulness-based cognitive-behavioral intervention for smartphone addiction among university students. J Behav Addict 2018;1;7:1171-76.
6. Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 2018;17:162.
7. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an Expanded Disability Status Scale (EDSS). Neurology 1983;33:1444– 52.
8. Ağargün YM, Kara H, Anlar Ö. The validity and reliability of the Pittsburgh Sleep Quality Index. Turkish Journal of Psychiatry 1996;7:107-11.
9. Demirci K, Orhan H, Demirdas A, et al. Validity and reliability of the Turkish version of the Smartphone Addiction Scale in a younger population. Bulletin of Clinical Psychopharmacology 2014;24:226–234.
10. Merlino G, Fratticci L, Lenchig C, et al. Prevalence of ‘poor sleep’ among patients with multiple sclerosis: an independent predictor of mental and physical status. Sleep Med 2009;10:26–34.
11. HMB Lunde, TF Aae, W Indrevåg, et al. Poor Sleep in Patients with Multiple Sclerosis. PLoS One 2012;7:49996.
12. Labuz-Roszak B, Kubicka-Bączyk K, Pierzchała K, et al. M. Fatigue and its association with sleep disorders, depressive symptoms and anxiety in patients with multiple sclerosis. Neurol Neurochir Pol 2012;46:309-17.
13. Bamer AM, Johnson KL, Amtmann DA, et al. Beyond fatigue: Assessing variables associated with sleep problems and use of sleep medications in multiple sclerosis. Clin Epidemiol 2010;2:99-106.
14. Onat ŞŞ, Ünsal Delialioğlu S, Özel S. The Relationship Between Sleep Disorder and Functional Status and Quality of Life in Multiple Sclerosis. Journal of Neurological Sciences 2014;31.3.
15. Cortese A, Conte A, Ferrazzano G,et al. Photophobia in multiple sclerosis. Mult Scler Relat Disord. 2018;26:55-57. 16. 16. Rossi HL, Recober A. Photophobia in primary headaches. Headache 2015;55:600-604.
17. Sardi C, Zambusi L, Finardi A, et al. Involvement of calcitonin gene-related peptide and receptor component protein in experimental autoimmune encephalomyelitis. J Neuroimmunol 2014;15:18-29.