Journal of Behavioral Addictions
Volume/Issue:
Volume 4: Issue 2
Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students
Authors:
Kadir Demirci Department of Psychiatry, School of Medicine, Süleyman Demirel University, Isparta,, Turkey

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Mehmet Akgönül Department of Psychiatry, School of Medicine, Süleyman Demirel University, Isparta,, Turkey

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Abdullah Akpinar Department of Psychiatry, School of Medicine, Süleyman Demirel University, Isparta,, Turkey

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Pages:
85–92
Online Publication Date:
Jun 2015
Publication Date:
01 Jun 2015
Article Category:
Research Article
DOI:
https://doi.org/10.1556/2006.4.2015.010
Keywords:
smartphone; addiction; sleep quality; depression; anxiety
Open access

Background and aims

The usage of smartphones has increased rapidly in recent years, and this has brought about addiction. The aim of the current study was to investigate the relationship between smartphone use severity and sleep quality, depression, and anxiety in university students.

Methods

In total, 319 university students (203 females and 116 males; mean age = 20.5 ± 2.45) were included in the study. Participants were divided into the following three groups: a smartphone non-user group (n = 71, 22.3%), a low smartphone use group (n = 121, 37.9%), and a high smartphone use group (n = 127, 39.8%). All participants were evaluated using the Pittsburgh Sleep Quality Index, Beck Depression Inventory, Beck Anxiety Inventory; moreover, participants other than those in the smartphone non-user group were also assessed with the Smartphone Addiction Scale.

Results

The findings revealed that the Smartphone Addiction Scale scores of females were significantly higher than those of males. Depression, anxiety, and daytime dysfunction scores were higher in the high smartphone use group than in the low smartphone use group. Positive correlations were found between the Smartphone Addiction Scale scores and depression levels, anxiety levels, and some sleep quality scores.

Conclusions

The results indicate that depression, anxiety, and sleep quality may be associated with smartphone overuse. Such overuse may lead to depression and/or anxiety, which can in turn result in sleep problems. University students with high depression and anxiety scores should be carefully monitored for smartphone addiction.

  • Adams, S. K. & Kisler, T. S. (2013). Sleep quality as a mediator between technology-related sleep quality, depression, and anxiety. Cyberpsychology, Behavior, and Social Networking, 16(1), 25–30

    • Search Google Scholar
    • Export Citation

  • Agargun, M. Y., Kara, H. & Anlar, Ö. (1996). Validity and reliability of the Pittsburgh Sleep Quality Index in Turkish sample. Turkish Journal of Psychiatry, 7, 107–115

    • Search Google Scholar
    • Export Citation

  • Altman, D. G. & Royston, P. (2006). The cost of dichotomizing continuous variables. BMJ, 332(7549), 1080

  • An, J., Sun, Y., Wan, Y., Chen, J., Wang, X. & Tao, F. (2014). Associations between problematic Internet use and adolescents’ physical and psychological symptoms: Possible role of sleep quality. Journal of Addiction Medicine, 8(4), 282–287

    • Search Google Scholar
    • Export Citation

  • Arora, T., Broglia, E., Thomas, G. N. & Taheri, S. (2014). Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias. Sleep Medicine, 15(2), 240–247

    • Search Google Scholar
    • Export Citation

  • Beck, A. T., Epstein, N., Brown, G. & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56(6), 893–897

    • Search Google Scholar
    • Export Citation

  • Beck, A. T., Ward, C. H., Mendelson, M., Mock, J. & Erbaugh, J. K. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4(6), 561–571

    • Search Google Scholar
    • Export Citation

  • 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 Research, 28(2), 193–213

    • Search Google Scholar
    • Export Citation

  • Cain, N. & Gradisar, M. (2010). Electronic media use and sleep in school-aged children and adolescents: A review. Sleep Medicine, 11(8), 735–742

    • Search Google Scholar
    • Export Citation

  • Canan, F., Yildirim, O., Sinani, G., Ozturk, O., Ustunel, T. Y. & Ataoglu, A. (2013). Internet addiction and sleep disturbance symptoms among Turkish high school students. Sleep and Biological Rhythms, 11(3), 210–213

    • Search Google Scholar
    • Export Citation

  • Cheung, L. M. & Wong, W. S. (2011). The effects of insomnia and Internet addiction on depression in Hong Kong Chinese adolescents: An exploratory cross‐sectional analysis. Journal of Sleep Research, 20(2), 311–317

    • Search Google Scholar
    • Export Citation

  • Dalbudak, E., Evren, C., Aldemir, S., Coskun, K. S., Ugurlu, H. & Yildirim, F. G. (2013). Relationship of Internet addiction severity with depression, anxiety, and alexithymia, temperament and character in university students. Cyberpsychology, Behavior, and Social Networking, 16(4), 272–278

    • Search Google Scholar
    • Export Citation

  • Demirci, K., Orhan, H., Demirdas, A., Akpınar, A. & Sert, H. (2014). Validity and reliability of the Turkish Version of the Smartphone Addiction Scale in a younger population. Bulletinof Clinical Psychopharmacology, 24(3), 226–234

    • Search Google Scholar
    • Export Citation

  • Dworak, M., Schierl, T., Bruns, T. & Strüder, H. K. (2007). Impact of singular excessive computer game and television exposure on sleep patterns and memory performance of school-aged children. Pediatrics, 120(5), 978–985

    • Search Google Scholar
    • Export Citation

  • Fossum, I. N., Nordnes, L. T., Storemark, S. S., Bjorvatn, B. & Pallesen, S. (2014). The association between use of electronic media in bed before going to sleep and insomnia symptoms, daytime sleepiness, morningness, and chronotype. Behavioral Sleep Medicine, 12(5), 343–357

    • Search Google Scholar
    • Export Citation

  • Higuchi, S., Motohashi, Y., Liu, Y. & Maeda, A. (2005). Effects of playing a computer game using a bright display on presleep physiological variables, sleep latency, slow wave sleep and REM sleep. Journal of Sleep Research, 14(3), 267–273

    • Search Google Scholar
    • Export Citation

  • Higuchi, S., Motohashi, Y., Liu, Y., Ahara, M. & Kaneko, Y. (2003). Effects of VDT tasks with a bright display at night on melatonin, core temperature, heart rate, and sleepiness. Journalof Applied Physiology, 94(5), 1773–1776

    • Search Google Scholar
    • Export Citation

  • Hisli, N. (1989). Reliability and validity of Beck Depression Inventory among university students. Journal of Turkish Psychology, 7, 3–13

    • Search Google Scholar
    • Export Citation

  • Huber, R., Treyer, V., Borbely, A. A., Schuderer, J., Gottselig, J. M., Landolt, H. P., Werth, E., Berthold, T., Kuster, N., Buck, A. & Achermann, P. (2002). Electromagnetic fields, such as those from mobile phones, alter regional cerebral blood flow and sleep and waking EEG. Journal of Sleep Research, 11(4), 289–295

    • Search Google Scholar
    • Export Citation

  • Hwang, K. H., Yoo, Y. S. & Cho, O. H. (2012). Smartphone overuse and upper extremity pain, anxiety, depression, and interpersonal relationships among college students. The Journal of the Korea Contents Association, 12(10), 365–375

    • Search Google Scholar
    • Export Citation

  • International Data Corporation (IDC). (2013). Third quarter report 2013. Retrieved from http://www.idc.com/getdoc.jsp?containerId=prUS24418013

    • Search Google Scholar
    • Export Citation

  • Kim, H. (2013). Exercise rehabilitation for smartphone addiction. Journal of Exercise Rehabilitation, 9(6), 500–505

  • Kuss, D. J. & Griffiths, M. D. (2011). Online social networking and addiction—a review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528–3552

    • Search Google Scholar
    • Export Citation

  • Kwon, M., Kim, D. J., Cho, H. & Yang, S. (2013). The smartphone addiction scale: Development and validation of a short version for adolescents. PloS One, 8(12), e83558

    • Search Google Scholar
    • Export Citation

  • Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., Gu, X., Choi, J. H. & Kim, D. J. (2013). Development and validation of a smartphone addiction scale (SAS). PloS One, 8(2), e56936

    • Search Google Scholar
    • Export Citation

  • Lam, L. T. (2014). Risk factors of Internet addiction and the health effect of Internet addiction on adolescents: A systematic review of longitudinal and prospective studies. Current Psychiatry Reports, 16(11), 1–9

    • Search Google Scholar
    • Export Citation

  • Lee, H., Ahn, H., Choi, S. & Choi, W. (2014). The SAMS: Smartphone Addiction Management System and Verification. Journalof Medical Systems, 38(1), 1–10

    • Search Google Scholar
    • Export Citation

  • Lemola, S., Perkinson-Gloor, N., Brand, S., Dewald-Kaufmann, J. F. & Grob, A. (2014). Adolescents’ electronic media use at night, sleep disturbance, and depressive symptoms in the smartphone age. Journal of Youth and Adolescence, 1–14

    • Search Google Scholar
    • Export Citation

  • Loughran, S. P., Wood, A. W., Barton, J. M., Croft, R. J., Thompson, B. & Stough, C. (2005). The effect of electromagnetic fields emitted by mobile phones on human sleep. Neuroreport, 16(17), 1973–1976

    • Search Google Scholar
    • Export Citation

  • MacCallum, R. C., Zhang, S., Preacher, K. J. & Rucker, D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7(1), 19

    • Search Google Scholar
    • Export Citation

  • Medienpädagogischer Forschungsverbund Südwest. (2013). JIM 2013. Jugend, Information, (Multi-) Media. Basisstudie zum Medienumgang 12- bis 19-Jähriger in Deutschland

    • Search Google Scholar
    • Export Citation

  • Meena, P. S., Mittal, P. K. & Solanki, R. K. (2012). Problematic use of social networking sites among urban school going teenagers. Industrial Psychiatry Journal, 21(2), 94

    • Search Google Scholar
    • Export Citation

  • Mok, J. Y., Choi, S. W., Kim, D. J., Choi, J. S., Lee, J., Ahn, H., Choi, E. J. & Song, W. Y. (2014). Latent class analysis on Internet and smartphone addiction in college students. Neuropsychiatric Disease and Treatment, 10, 817–827

    • Search Google Scholar
    • Export Citation

  • NSF. (2011). Depression and sleep. Arlington, VA: National Sleep Foundation

  • Park, N. & Lee, H. (2012). Social implications of smartphone use: Korean college students’ smartphone use and psychological well-being. Cyberpsychology, Behavior, and Social Networking, 15(9), 491–497

    • Search Google Scholar
    • Export Citation

  • Park, S. (2014). Associations of physical activity with sleep satisfaction, perceived stress, and problematic Internet use in Korean adolescents. BMC Public Health, 14(1), 1143

    • Search Google Scholar
    • Export Citation

  • Roberts, J. A., Yaya, L. H. P. & Manolis, C. (2014). The invisible addiction: Cell-phone activities and addiction among male and female college students. Journal of Behavioral Addictions, 3(4), 254–265

    • Search Google Scholar
    • Export Citation

  • Smith, A. (2013). Smartphone ownership—2013 update. Washington, DC: Pew Research Center

  • Song, H. K., Jeong, M. H., Sung, D. J., Jung, J. K., Choi, J. S., Jang, Y. L. & Lee, J. S. (2010). Internet addiction in adolescents and its relation to sleep and depression. Sleep Medicineand Psychophysiology, 17(2), 100–108

    • Search Google Scholar
    • Export Citation

  • South Korea National Information Society Agency. (2011). Internet Addiction Survey 2011. Seoul: National Information Society Agency, pp. 118–119

    • Search Google Scholar
    • Export Citation

  • Thadani, D. R. & Cheung, C. (2011, January). Online social network dependency: Theoretical development and testing of competing models. In System Sciences (HICSS), 2011 44th Hawaii International Conference on (pp. 1–9). IEEE

    • Search Google Scholar
    • Export Citation

  • Thomée, S., Härenstam, A. & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults — a prospective cohort study. BMC Public Health, 11(1), 66

    • Search Google Scholar
    • Export Citation

  • Ulusoy, M., Sahin, N. H. & Erkmen, H. (1998). Turkish version of the Beck Anxiety Inventory: Psychometric properties. Journal Cognitive Psychotherapy, 12, 28–35

    • Search Google Scholar
    • Export Citation

  • Willemse, I., Waller, G., Süss, D., Genner, S. & Huber, A.-L. (2012). JAMES — Jugend, Aktivitäten, Medien — Erhebung Schweiz. Zürich: Zürcher Hochschule für Angewandte Wissenschaften

    • Search Google Scholar
    • Export Citation

  • Wood, A. W., Loughran, S. P. & Stough, C. (2006). Does evening exposure to mobile phone radiation affect subsequent melatonin production?. International Journal of Radiation Biology, 82(2), 69–76

    • Search Google Scholar
    • Export Citation
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Cover Journal of Behavioral Addictions
Journal of Behavioral Addictions
Print ISSN:
2062-5871
Online ISSN:
2063-5303

Dr. Zsolt Demetrovics
Institute of Psychology, ELTE Eötvös Loránd University
Address: Izabella u. 46. H-1064 Budapest, Hungary
Phone: +36-1-461-2681
E-mail: jba@ppk.elte.hu

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2023  
Web of Science  
Journal Impact Factor 6.6
Rank by Impact Factor Q1 (Psychiatry)
Journal Citation Indicator 1.59
Scopus  
CiteScore 12.3
CiteScore rank Q1 (Clinical Psychology)
SNIP 1.604
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SJR Q rank Q1

Journal of Behavioral Addictions
Publication Model Gold Open Access
Submission Fee none
Article Processing Charge 990 EUR/article
Effective from  1st Feb 2025:
1400 EUR/article
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%.
Subscription Information Gold Open Access

Journal of Behavioral Addictions
Language English
Size A4
Year of
Foundation		 2011
Volumes
per Year		 1
Issues
per Year		 4
Founder Eötvös Loránd Tudományegyetem
Founder's
Address		 H-1053 Budapest, Hungary Egyetem tér 1-3.
Publisher Akadémiai Kiadó
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 2062-5871 (Print)
ISSN 2063-5303 (Online)

Senior editors

Editor(s)-in-Chief: Zsolt DEMETROVICS

Assistant Editor(s): Csilla ÁGOSTON

Associate Editors

  • Stephanie ANTONS (Universitat Duisburg-Essen, Germany)
  • Joel BILLIEUX (University of Lausanne, Switzerland)
  • Beáta BŐTHE (University of Montreal, Canada)
  • Matthias BRAND (University of Duisburg-Essen, Germany)
  • Ruth J. van HOLST (Amsterdam UMC, The Netherlands)
  • Daniel KING (Flinders University, Australia)
  • Gyöngyi KÖKÖNYEI (ELTE Eötvös Loránd University, Hungary)
  • Ludwig KRAUS (IFT Institute for Therapy Research, Germany)
  • Marc N. POTENZA (Yale University, USA)
  • Hans-Jurgen RUMPF (University of Lübeck, Germany)

Editorial Board

  • Sophia ACHAB (Faculty of Medicine, University of Geneva, Switzerland)
  • Alex BALDACCHINO (St Andrews University, United Kingdom)
  • Judit BALÁZS (ELTE Eötvös Loránd University, Hungary)
  • Maria BELLRINGER (Auckland University of Technology, Auckland, New Zealand)
  • Henrietta BOWDEN-JONES (Imperial College, United Kingdom)
  • Damien BREVERS (University of Luxembourg, Luxembourg)
  • Wim VAN DEN BRINK (University of Amsterdam, The Netherlands)
  • Julius BURKAUSKAS (Lithuanian University of Health Sciences, Lithuania)
  • Gerhard BÜHRINGER (Technische Universität Dresden, Germany)
  • Silvia CASALE (University of Florence, Florence, Italy)
  • Luke CLARK (University of British Columbia, Vancouver, B.C., Canada)
  • Jeffrey L. DEREVENSKY (McGill University, Canada)
  • Geert DOM (University of Antwerp, Belgium)
  • Nicki DOWLING (Deakin University, Geelong, Australia)
  • Hamed EKHTIARI (University of Minnesota, United States)
  • Jon ELHAI (University of Toledo, Toledo, Ohio, USA)
  • Ana ESTEVEZ (University of Deusto, Spain)
  • Fernando FERNANDEZ-ARANDA (Bellvitge University Hospital, Barcelona, Spain)
  • Naomi FINEBERG (University of Hertfordshire, United Kingdom)
  • Sally GAINSBURY (The University of Sydney, Camperdown, NSW, Australia)
  • Belle GAVRIEL-FRIED (The Bob Shapell School of Social Work, Tel Aviv University, Israel)
  • Biljana GJONESKA (Macedonian Academy of Sciences and Arts, Republic of North Macedonia)
  • Marie GRALL-BRONNEC (University Hospital of Nantes, France)
  • Jon E. GRANT (University of Minnesota, USA)
  • Mark GRIFFITHS (Nottingham Trent University, United Kingdom)
  • Joshua GRUBBS (University of New Mexico, Albuquerque, NM, USA)
  • Anneke GOUDRIAAN (University of Amsterdam, The Netherlands)
  • Susumu HIGUCHI (National Hospital Organization Kurihama Medical and Addiction Center, Japan)
  • David HODGINS (University of Calgary, Canada)
  • Eric HOLLANDER (Albert Einstein College of Medicine, USA)
  • Zsolt HORVÁTH (Eötvös Loránd University, Hungary)
  • Susana JIMÉNEZ-MURCIA (Clinical Psychology Unit, Bellvitge University Hospital, Barcelona, Spain)
  • Yasser KHAZAAL (Geneva University Hospital, Switzerland)
  • Orsolya KIRÁLY (Eötvös Loránd University, Hungary)
  • Chih-Hung KO (Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Taiwan)
  • Shane KRAUS (University of Nevada, Las Vegas, NV, USA)
  • Hae Kook LEE (The Catholic University of Korea, Republic of Korea)
  • Bernadette KUN (Eötvös Loránd University, Hungary)
  • Katerina LUKAVSKA (Charles University, Prague, Czech Republic)
  • Giovanni MARTINOTTI (‘Gabriele d’Annunzio’ University of Chieti-Pescara, Italy)
  • Gemma MESTRE-BACH (Universidad Internacional de la Rioja, La Rioja, Spain)
  • Astrid MÜLLER (Hannover Medical School, Germany)
  • Daniel Thor OLASON (University of Iceland, Iceland)
  • Ståle PALLESEN (University of Bergen, Norway)
  • Afarin RAHIMI-MOVAGHAR (Teheran University of Medical Sciences, Iran)
  • József RÁCZ (Hungarian Academy of Sciences, Hungary)
  • Michael SCHAUB (University of Zurich, Switzerland)
  • Marcantanio M. SPADA (London South Bank University, United Kingdom)
  • Daniel SPRITZER (Study Group on Technological Addictions, Brazil)
  • Dan J. STEIN (University of Cape Town, South Africa)
  • Sherry H. STEWART (Dalhousie University, Canada)
  • Attila SZABÓ (Eötvös Loránd University, Hungary)
  • Hermano TAVARES (Instituto de Psiquiatria do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil)
  • Alexander E. VOISKOUNSKY (Moscow State University, Russia)
  • Aviv M. WEINSTEIN (Ariel University, Israel)
  • Anise WU (University of Macau, Macao, China)

 

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