nach oben

International Journal of Mental Health and Addiction

Erschienen in:

31.08.2020 | Original Article

Assessing Risk for Smartphone Addiction: Validation of an Arabic Version of the Smartphone Application-Based Addiction Scale

verfasst von: Zahir Vally, Aisha Alowais

Erschienen in: International Journal of Mental Health and Addiction | Ausgabe 2/2022

Einloggen, um Zugang zu erhalten

Abstract

The Smartphone Application-Based Addiction Scale (SABAS) is a brief measure that can be used to screen for risk associated with smartphone addiction. While it has been validated in a number of languages, an Arabic version is yet to be tested. This study aimed to test the construct validity an Arabic language version of the SABAS using a confirmatory factor analysis (CFA) and maximum likelihood estimation. A sample of 453 Emirati (citizens of the United Arab Emirates) young adults (M_age = 20.32, SD = 1.53; 117 males [25.8%]) completed the SABAS measure, which was translated using recommended back-translation procedures, measures of depression, anxiety, and stress, and self-reported their daily duration of smartphone use, as well as demographic information. CFA results supported the unidimensional structure of the Arabic SABAS and the data met a number of indices indicative of acceptable model fit (λ range 0.45 to 0.66). The measure displayed satisfactory internal consistency (α = 0.71) and convergent validity. Correlations between the SABAS and depression, anxiety, stress, and smartphone use were statistically significant, but small in magnitude (r ranged 0.11 to 0.25). The availability of a validated Arabic version of the SABAS will facilitate the conduct of smartphone addiction research in the Arabic-speaking world. However, the present study’s results should be viewed as preliminary evidence of its psychometric properties. Further investigation with larger and more diverse samples of Arabic-speaking participants is required.

Nur mit Berechtigung zugänglich

Ahmed, A. (2013). E-arranged marriages: How have Muslim matrimonial websites affected traditional Islamic courting methods? Master’s Thesis, London School of Economics (LSE), London. Available at: https://www.lse.ac.uk/media-and-communications/assets/documents/research/msc-dissertations/2012/93.pdf. Accessed 20 Jun 2020.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington DC: Author.CrossRef

Balhara, Y. P. S., Đorić, A., Stevanović, D., Knez, R., Singh, S., Chowdhury, R. R., et al. (2019). Correlates of problematic Internet use among college and university students in eight countries: an international cross-sectional study. Asian Journal of Psychiatry, 45, 113–120. https://doi.org/10.1016/j.ajp.2019.09.004.CrossRef

Billieux, J., Schimmenti, A., Khazaal, Y., Maurage, P., & Heeren, A. (2015). Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4(3), 119–123. https://doi.org/10.1556/2006.4.2015.009.CrossRefPubMedPubMedCentral

Brand, M., Young, K. S., Laier, C., Wolfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific internet-use disorders: an interaction of person-affect-cognition-execution (I-PACE) model. Neuroscience and Biobehavioral Reviews, 71, 252–266. https://doi.org/10.1016/j.neubiorev.2016.08.033.CrossRefPubMed

Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1, 185–216. https://doi.org/10.1177/135910457000100301.CrossRef

Chen, C., Zhang, K. Z. K., Gong, X., Zhao, S. J., Lee, M. K. O., & Liang, L. (2017). Understanding compulsive smartphone use: an empirical test of a flow-based model. International Journal of Information Management, 37, 438–454. https://doi.org/10.1016/j.ijinfomgt.2017.04.009.CrossRef

Csibi, S., Demetrovics, Z., & Szabo, A. (2016). Hungarian adaptation and psychometric characteristics of Brief Addiction to Smartphone Scale (BASS) [in Hungarian]. Psychiatria Hungarica, 31(1), 71–77.PubMed

Csibi, S., Griffiths, M. D., Cook, B., Demetrovics, Z., & Szabo, A. (2018). The psychometric properties of the Smartphone Application-Based Addiction Scale (SABAS). International Journal of Mental Health and Addiction, 16(2), 393–403. https://doi.org/10.1007/s11469-017-9787-2.CrossRefPubMed

De-Sola Gutierrez, J., Rodriguez de Fonseca, F., & Rubio, G. (2016). Cell-phone addiction: a review. Frontiers in Psychology, 7, 175. https://doi.org/10.3389/fpsyt.2016.00175.CrossRef

DeVellis, R. F. (2016). Scale development: theory and applications (4th ed.). Chapel Hill: Sage Publications.

Dey, M., Studer, J., Schaub, M., Gmel, G., Ebert, D., Lee, J., et al. (2019). Problematic smartphone use in young Swiss men: its association with problematic substance use and risk factors derived from the pathway model. Journal of Behavioral Addictions, 8(2), 326–334.CrossRef

Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: a conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/j.jad.2016.08.030.CrossRefPubMed

Foerster, M., Roser, K., Schoeni, A., & Röösli, M. (2015). Problematic mobile phone use in adolescents: derivation of a short scale MPPUS-10. International Journal of Public Health, 60(2), 277–286. https://doi.org/10.1007/s00038-015-0660-4.CrossRefPubMed

Griffiths, M. D. (1999). Internet addiction: Internet fuels other addictions. Student British Medical Journal, 7, 428–429.

Griffiths, M. D. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359.CrossRef

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks: Sage.

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRef

IBM Corporation. (2019). IBM SPSS statistics for windows, version 26.0. Armonk: IBM Corp.

ITU World Telecommunication/ICT Indicators Database (2017). Country ICT data (Mobile cellular subscriptions until 2017). Retrieved December 21, 2018, from http://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx.

Jöreskog, K. G., & Sörbom, D. (2020). LISREL 10.20 Student Edition. Chicago, Illinois: Scientific Software International; Lawrence Erlbaum Associates, Inc.

Larsson, G. (2011). Muslims and the new media: historical and contemporary debates. Farnham: Ashgate Publishing.

Lin, C., Imani, V., Broström, A., Nilsen, P., Fung, X. C. C., Griffiths, M. D., et al. (2019). Smartphone application-based addiction among Iranian adolescents: a psychometric study. International Journal of Mental Health and Addiction, 17, 765–780. https://doi.org/10.1007/s11469-018-0026-2.CrossRef

Lowe-Calverley, E., & Pontes, H. M. (2020). Challenging the concept of smartphone Addiction: An Empirical Pilot Study of Smartphone Usage Patterns and Psychological Well-Being. Cyberpsychology, Behavior and Social Networking. https://doi.org/10.1089/cyber.2019.0719.

Montag, C., Sindermann, C., Becker, B., & Panksepp, J. (2016). An affective neuroscience framework for the molecular study of Internet addiction. Frontiers in Psychology, 7, 1906. https://doi.org/10.3389/fpsyg.2016.01906.CrossRefPubMedPubMedCentral

Moussa, M. T., Lovibond, P. F., & Laube, R. (2001). Psychometric properties of a Chinese version of the short Depression Anxiety Stress Scales (DASS21). Report for New South Wales Transcultural Mental Health Centre. Sydney: Cumberland Hospital.

Nunnally, J. C., & Bernstein, I. H. (1994). The assessment of reliability. Psychometric Theory, 3, 248–292.

Peterka-Bonetta, J., Sindermann, C., Elhai, J. D., & Montag, C. (2019). Personality associations with smartphone and Internet use disorder: a comparison study including links to impulsivity and social anxiety. Frontiers in Public Health, 7, 127. https://doi.org/10.3389/fpubh.2019.00127.CrossRefPubMedPubMedCentral

Petry, N. M., & O’Brien, C. P. (2013). Internet gaming disorder and the DSM-5. Addiction, 108, 1186–1187. https://doi.org/10.1111/add.12162.CrossRefPubMed

Rochadiat, A. M., Tong, S. T., & Novak, J. M. (2018). Online dating and courtship among Muslim American women: negotiating technology, religious identity, and culture. New Media & Society, 20(4), 1618–1639. https://doi.org/10.1177/1461444817702396.CrossRef

Shaw, H., Ellis, D. A., Kendrick, L.-R., Ziegler, F., & Wiseman, R. (2016). Predicting smartphone operating system from personality and individual differences. Cyberpsychology, Behavior and Social Networking, 19(12), 727–732. https://doi.org/10.1089/cyber.2016.0324.CrossRefPubMed

SIL International. (2020). Documentation for ISO 639 identifier. Available online at https://iso639-3.sil.org/code/ara. Accessed on 10 August 2020.

Soraci, P., Ferrari, A., Antonino, U., & Griffiths, M. D. (2020). Psychometric properties of the Italian version of the Smartphone Application-Based Addiction Scale (SABAS). International Journal of Mental Health and Addiction. Advance Online Publication. https://doi.org/10.1007/s11469-020-00222-2.

Tateno, M., Kim, D. J., Teo, A. R., Skokauskas, N., Guerrero, A., & Kato, T. A. (2019). Smartphone addiction in Japanese college students: Usefulness of the Japanese version of the Smartphone Addiction Scale as a Screening Tool for a New Form of Internet Addiction. Psychiatry Investigation, 16(2), 115–120. https://doi.org/10.30773/pi.2018.12.25.2.CrossRefPubMedPubMedCentral

Thomee, S. (2018). Mobile phone use and mental health: a review of the research that takes a psychological perspective on exposure. International Journal of Environmental Research and Public Health, 15(12), 2692. https://doi.org/10.3390/ijerph15122692.CrossRefPubMedCentral

Vally, Z. (2019). Generalized problematic Internet use, depression, and explicit self-esteem: evidence from the United Arab Emirates. Neurology Psychiatry and Brain Research, 33, 93–100. https://doi.org/10.1016/j.npbr.2019.07.002.CrossRef

Vally, Z., & El Hichami, F. (2019). An examination of problematic mobile phone use in the United Arab Emirates: Prevalence, correlates, and predictors in a college-aged sample of young adults. Addictive Behaviors Reports, 9, 100185. https://doi.org/10.1016/j.abrep.2019.100185.CrossRefPubMedPubMedCentral

Vally, Z., Laconi, S., & Kaliszewska-Czeremska, K. (2020). Problematic Internet use, psychopathology, defense mechanisms, and coping strategies: a cross-sectional study from the United Arab Emirates. Psychiatric Quarterly, 91, 587–602.CrossRef

World Health Organization. (2018). International classification of diseases for mortality and morbidity statistics (11th Revision). Retrieved from https://icd.who.int/browse11/l-m/en. Accessed 20 June 2018.

Yam, C. W., Pakpour, A. H., Griffiths, M. D., Yau, W.-Y., Lo, C.-L. M., Ng, J. M. T., Lin, C. Y., & Leung, H. (2019). Psychometric testing of three Chinese online-related addictive behavior instruments among Hong Kong University students. Psychiatric Quarterly, 90(1), 117–128. https://doi.org/10.1007/s11126-018-9610-7.CrossRef

Titel: Assessing Risk for Smartphone Addiction: Validation of an Arabic Version of the Smartphone Application-Based Addiction Scale
verfasst von: Zahir Vally
Aisha Alowais
Publikationsdatum: 31.08.2020
Verlag: Springer US
Erschienen in: International Journal of Mental Health and Addiction / Ausgabe 2/2022
Print ISSN: 1557-1874
Elektronische ISSN: 1557-1882
DOI: https://doi.org/10.1007/s11469-020-00395-w

Neu im Fachgebiet Psychiatrie

Demenzkranke durch Antipsychotika vielfach gefährdet

23.04.2024 Demenz Nachrichten

Wenn Demenzkranke aufgrund von Symptomen wie Agitation oder Aggressivität mit Antipsychotika behandelt werden, sind damit offenbar noch mehr Risiken verbunden als bislang angenommen.

Weniger postpartale Depressionen nach Esketamin-Einmalgabe

23.04.2024 Depression antepartal oder postpartal Nachrichten

Bislang gibt es kein Medikament zur Prävention von Wochenbettdepressionen. Das Injektionsanästhetikum Esketamin könnte womöglich diese Lücke füllen.

„Psychotherapie ist auch bei sehr alten Menschen hochwirksam!“

22.04.2024 DGIM 2024 Kongressbericht

Die Kombination aus Medikamenten und Psychotherapie gilt als effektivster Ansatz bei Depressionen. Das ist bei betagten Menschen nicht anders, trotz Besonderheiten.

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

22.04.2024 DGIM 2024 Nachrichten

Um Menschen nach der Flucht aus einem Krisengebiet bestmöglich medizinisch betreuen zu können, ist es gut zu wissen, welche Erkrankungen im jeweiligen Herkunftsland häufig sind. Dabei hilft eine Internetseite der CDC (Centers for Disease Control and Prevention).

Update Psychiatrie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 2/2022

COVID-19 Impact on Kazakhstan University Student Fear, Mental Health, and Substance Use

Mental Health Problems and Associated Predictors Among Bangladeshi Students

Should I Stay or Should I Go? A Comparative Exploratory Analysis of Individuals Electing to Continue or Discontinue Self-Exclusion from Land-Based Gambling Venues

Needle Pulmonary Embolism in an Intravenous Drug User: a Case Report

Barriers and Facilitators of Addiction Treatment: a Qualitative Study

Nurses’ Sleep Quality of “Fangcang” Hospital in China during the COVID-19 Pandemic