nach oben

International Journal of Mental Health and Addiction

Erschienen in:

17.05.2021 | Original Article

Psychometric Properties of the Smartphone Addiction Inventory (SPAI-BR) in Brazilian Adolescents

verfasst von: André Luiz Monezi Andrade, Adriana Scatena, Bruno de Oliveira Pinheiro, Wanderlei Abadio de Oliveira, Fernanda Machado Lopes, Denise De Micheli

Erschienen in: International Journal of Mental Health and Addiction | Ausgabe 5/2022

Einloggen, um Zugang zu erhalten

Abstract

The objective of this study was to adapt and identify the psychometric properties of the Smartphone Addiction Inventory (SPAI) among adolescents. The participants (N = 310; M = 13.1; SD = 1.22) completed the following instruments: the Internet Addiction Test (IAT), the Smartphone Addiction Scale-Short Version (SAS-SV), and the Brazilian version of the Smartphone Addiction Inventory (SPAI-BR). The prevalence of problematic smartphone use (PSU) was 56.1%. The SPAI-BR presented good internal consistency (α = .88) and reliable temporal stability values (intraclass correlation coefficient = .83). Confirmatory factor analysis (CFA) did not reveal a good factor fit (CFI = .88; TLI = .87). However, exploratory factor analysis (EFA) presented a model with 26 items and four factors. The network analysis (NA) indicated that the items related to compulsive use had higher centrality levels. The ideal cutoff score of the SPAI-BR was 10, and the scale displayed moderate correlations with the SAS-SV and IAT. This study is the first to evaluate the psychometric properties of the SPAI among adolescents. The data indicate that SPAI-BR is reliable for use in this population.

Almeida, D. E. R. G., Andrade, A. L. M., Cruz, F. D., & Micheli, D. D. (2018). Perception of freedom in leisure among substance users and nonusers. Psico-USF, 23(1), 13–24. https://doi.org/10.1590/1413-82712018230102.CrossRef

American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). Artmed Publishing House.

Andrade, A. L. M, Enumo, S. R. F., Passos, M. A. Z., Vellozo, E. P., Schoen, T. H., Kulik, M. A., Niskier, S. R., & de Souza Vitalle, M. S. (2021). Problematic internet use, emotional problems and quality of life among adolescents. Psico-USF, 26(1), 41–51.

Andrade, A. L. M., Kim, D. J., Caricati, V. V., Martins, G. D. G., Kirihara, I. K., Barbugli, B. C., Enumo, S. R. F., & de Micheli, D. (2020a). Validity and reliability of the Brazilian version of the Smartphone Addiction Scale-Short Version for university students and adult population. Estudos de Psicologia (Campinas), 37, e190117. https://doi.org/10.1590/1982-0275202037e190117.CrossRef

Andrade, A. L. M, Scatena, A., Bedendo, A., Enumo, S. R. F., Dellazzana-Zanon, L. L, Prebianchi, H. B., Machado, W. L., et al. (2020b). Findings on the relationship between Internet addiction and psychological symptoms in Brazilian adults. International Journal of Psychology https://doi.org/10.1002/ijop.12670, 55, 941, 950.

Andrade, A. L. M., Scatena, A., Martins, G. D. G., de Oliveira Pinheiro, B., da Silva, A. B., Enes, C. C., Oliveira, W. A., et al. (2020c). Validation of Smartphone Addiction Scale-Short Version (SAS-SV) in Brazilian adolescents. Addictive Behaviors, 106540. https://doi.org/10.1016/j.addbeh.2020.106540.

Arpaci, I., & Esgi, N. (2018). Psychometric properties of the Turkish version of the smartphone addiction inventory (SPAI). Current Psychology, 39, 1–6. https://doi.org/10.1007/s12144-018-9913-8.CrossRef

Ballestar-Tarín, M. L., Simó-Sanz, C., Chover-Sierra, E., Saus-Ortega, C., Casal-Angulo, M., & Martínez-Sabater, A. (2020). Self-perception of dependence as an indicator of smartphone addiction-establishment of a cutoff point in the SPAI-Spain inventory. International Journal of Environmental Research and Public Health, 17(11), 3838. https://doi.org/10.3390/ijerph17113838.CrossRefPubMedCentral

Brand, M., Young, K. S., Laier, C., Wölfling, 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 & Biobehavioral Reviews, 71, 252–266. https://doi.org/10.1016/j.neubiorev.2016.08.033.CrossRef

Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience and Biobehavioral Reviews, 104, 1–10. https://doi.org/10.1016/j.neubiorev.2019.06.032.CrossRefPubMed

Brazilian Internet Management Committee (BIMC). (2019). Pesquisa sobre o uso da internet por crianças e adolescentes no Brasil: TIC kids online Brasil 2018. [Survey on internet use by children in Brazil: ICT kids online Brazil 2018] (Vol. 1). Brasilia: Comitê Gestor de Internet. Retrieved May 23, 2020, from: https://cetic.br/media/docs/publicacoes/216370220191105/tic_kids_online_2018_livro_eletronico.pdf

Chen, J., & Chen, Z. (2008). Extended Bayesian information criteria for model selection with large model spaces. Biometrika, 95, 759–771. https://doi.org/10.1093/biomet/asn034.CrossRef

Chen, S. H., Weng, L. J., Su, Y. J., Wu, H. M., & Yang, P. F. (2003). Development of a Chinese Internet addiction scale and its psychometric study. Chinese Journal of Psychology, 45(3), 279–294. https://doi.org/10.1037/t44491-000.CrossRef

Conti, M. A., Jardim, A. P., Hearst, N., Cordás, T. A., Tavares, H., & Abreu, C. N. D. (2012). Evaluation of semantic equivalence and internal consistency of a Portuguese version of the internet addiction test (IAT). Archives of Clinical Psychiatry, 39(3), 106–110. https://doi.org/10.1590/S0101-60832012000300007.CrossRef

Cruz, F. A. D., Scatena, A., Andrade, A. L. M., & De Micheli, D. (2018). Evaluation of Internet addiction and the quality of life of Brazilian adolescents from public and private schools. Estudos de Psicologia (Campinas), 35(2), 193–204. https://doi.org/10.1590/1982-02752018000200008.CrossRef

Domoff, S. E., Foley, R. P., & Ferkel, R. (2020). Addictive phone use and academic performance in adolescents. Human Behavior and Emerging Technologies, 2(1), 33–38. https://doi.org/10.1002/hbe2.171.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

Elhai, J. D., Levine, J. C., & Hall, B. J. (2019). The relationship between anxiety symptom severity and problematic smartphone use: A review of the literature and conceptual frameworks. Journal of Anxiety Disorders, 62, 45–52. https://doi.org/10.1016/j.janxdis.2018.11.005.CrossRefPubMed

Elhai, J. D., Rozgonjuk, D., Alghraibeh, A. M., Levine, J. C., Alafnan, A. A., Aldraiweesh, A. A., Aljomaa, S. S., & Hall, B. J. (2020). Excessive reassurance seeking mediates relations between rumination and problematic smartphone use. Bulletin of the Menninger Clinic, 84(1), 1–19. https://doi.org/10.1521/bumc_2020_84_07.CrossRef

Fischer-Grote, L., Kothgassner, O. D., & Felnhofer, A. (2019). Risk factors for problematic smartphone use in children and adolescents: A review of existing literature. Neuropsychiatrie, 33, 179–190. https://doi.org/10.1007/s40211-019-00319-8.CrossRefPubMedPubMedCentral

Friedman, J., Hastie, T., & Tibshirani, R. (2008). Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9, 432–441. https://doi.org/10.1093/biostatistics/kxm045.CrossRefPubMed

Fu, L., Wang, P., Zhao, M., Xie, X., Chen, Y., Nie, J., & Lei, L. (2020). Can emotion regulation difficulty lead to adolescent problematic smartphone use? A moderated mediation model of depression and perceived social support. Children and Youth Services Review, 108, 104660. https://doi.org/10.1016/j.chb.2020.106375.CrossRef

Harris, B., Regan, T., Schueler, J., & Fields, S. A. (2020). Problematic mobile phone and smartphone use scales: A systematic review. Frontiers in Psychology, 11, 672. https://doi.org/10.3389/fpsyg.2020.00672.CrossRefPubMedPubMedCentral

Horvath, J., Mundinger, C., Schmitgen, M. M., Wolf, N. D., Sambataro, F., Hirjak, D., Kubera, K. M., Koenig, J., & Christian Wolf, R. (2020). Structural and functional correlates of smartphone addiction. Addictive Behaviors, 105, e-106334. https://doi.org/10.1016/j.addbeh.2020.106334.CrossRef

Khoury, J. M., Freitas, A. A. C., Roque, M. A. V., Albuquerque, M. R., Neves, M. D. C. L., & Garcia, F. D. (2017). Assessment of the accuracy of a new tool for the screening of smartphone addiction. PLoS One, 12(5), e0176924. https://doi.org/10.1371/journal.pone.0176924.CrossRefPubMedPubMedCentral

Ko, C. H., Yen, J. Y., Chen, C. C., Chen, S. H., Wu, K., & Yen, C. F. (2006). Tridimensional personality of adolescents with internet addiction and substance use experience. The Canadian Journal of Psychiatry, 51(14), 887–894. https://doi.org/10.1177/70674370605101404.

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. https://doi.org/10.1371/journal.pone.0083558.CrossRefPubMedPubMedCentral

Laurence, P. G., Busin, Y., da Cunha Lima, H. S., & Macedo, E. C. (2020). Predictors of problematic smartphone use among university students. Psicologia, Reflexao e Critica, 33(1), e8. https://doi.org/10.1186/s41155-020-00147-8.CrossRef

Lei, L. Y. C., Ismail, M. A. A., Mohammad, J. A. M., & Yusoff, M. S. B. (2020). The relationship of smartphone addiction with psychological distress and neuroticism among university medical students. BMC Psychology, 8(1), 1–9. https://doi.org/10.1186/s40359-020-00466-6.CrossRef

Lim, P. K., Nordin, A. S. A., Yee, A., & Tan, S. B. (2020). Prevalence of smartphone addiction in patients with depression and its association with depression severity: A cross-sectional study. International Journal of Mental Health and Addiction, 18(2), 1–15. https://doi.org/10.1007/s11469-019-00203-0.CrossRef

Lin, Y. H., Chang, L. R., Lee, Y. H., Tseng, H. W., Kuo, T. B., & Chen, S. H. (2014). Development and validation of the Smartphone Addiction Inventory (SPAI). PLoS One, 9(6), e98312. https://doi.org/10.1371/journal.pone.0098312.CrossRefPubMedPubMedCentral

Lin, Y. H., Lin, P. H., Chiang, C. L., Lee, Y. H., Yang, C. C., Kuo, T. B., & Lin, S. H. (2017). Incorporation of mobile application (app) measures into the diagnosis of smartphone addiction. The Journal of Clinical Psychiatry, 78(7), 866–872. https://doi.org/10.4088/jcp.15m10310.CrossRefPubMed

Mitchell, L., & Hussain, Z. (2018). Predictors of problematic smartphone use: An examination of the integrative pathways model and the role of age, gender, impulsiveness, excessive reassurance seeking, extraversion, and depression. Behavioral Science, 8(8), 74. https://doi.org/10.3390/bs8080074.CrossRef

Oliveira Pinheiro, B., Monezi Andrade, A. L., Lopes, F. M., Reichert, R. A., de Oliveira, W. A., da Silva, A. M. B., & De Micheli, D. (2020). Association between quality of life and risk behaviors in Brazilian adolescents: An exploratory study. Journal of Health Psychology, in press. 10.1177%2F1359105320953472.

Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252–259. https://doi.org/10.1556/2006.7.2018.49.CrossRefPubMedPubMedCentral

Pavia, L., Cavani, P., Di Blasi, M., & Giordano, C. (2016). Smartphone Addiction Inventory (SPAI): Psychometric properties and confirmatory factor analysis. Computers in Human Behavior, 63, 170–178. https://doi.org/10.1016/j.chb.2016.05.039.CrossRef

Rich, M. (2020). Can smartphones make smart kids? Pediatrics, 145(1), e20193503. https://doi.org/10.1542/peds.2019-3503.CrossRefPubMed

Simó-Sanz, C., Ballestar-Tarín, M. L., & Martínez-Sabater, A. (2018). Smartphone Addiction Inventory (SPAI): Translation, adaptation and validation of the tool in Spanish adult population. PLoS One, 13(10), e0205389. https://doi.org/10.1371/journal.pone.0205389.CrossRefPubMedPubMedCentral

World Health Organization (WHO). (2019). International classification of diseases for mortality and morbility statistics. Eleventh revision (ICD-11). World Health Organization. Geneva. Retrieved May 23, 2020, from: https://icd.who.int/browse11/l-m/en

Yamauchi, L. M., Andrade, A. L. M., de Oliveira Pinheiro, B., Enumo, S. R. F., & de Micheli, D. (2019). Social representation regarding the use of alcoholic beverages by adolescents. Estudos de Psicologia (Campinas), 36. https://doi.org/10.1590/1982-0275201936e180098.

Yamauchi, L. M., Andrade, A. L. M., Pinheiro, B. O., Enumo, S. R. F & De Micheli, D. (2019). Evaluation of the social representation of the use of alcoholic beverages by adolescents. Estudos de Psicologia (Campinas), 36, e180098. https://doi.org/10.1590/1982-0275201936e180098.

Yang, J., Fu, X., Liao, X., & Li, Y. (2020). Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysis. Psychiatry Research, 284, e112686. https://doi.org/10.1016/j.psychres.2019.112686.CrossRef

Titel: Psychometric Properties of the Smartphone Addiction Inventory (SPAI-BR) in Brazilian Adolescents
verfasst von: André Luiz Monezi Andrade
Adriana Scatena
Bruno de Oliveira Pinheiro
Wanderlei Abadio de Oliveira
Fernanda Machado Lopes
Denise De Micheli
Publikationsdatum: 17.05.2021
Verlag: Springer US
Erschienen in: International Journal of Mental Health and Addiction / Ausgabe 5/2022
Print ISSN: 1557-1874
Elektronische ISSN: 1557-1882
DOI: https://doi.org/10.1007/s11469-021-00542-x

Neu im Fachgebiet Psychiatrie

Darf man die Behandlung eines Neonazis ablehnen?

08.05.2024 Gesellschaft Nachrichten

In einer Leseranfrage in der Zeitschrift Journal of the American Academy of Dermatology möchte ein anonymer Dermatologe bzw. eine anonyme Dermatologin wissen, ob er oder sie einen Patienten behandeln muss, der eine rassistische Tätowierung trägt.

Spezielles Sportprogramm bei einer Reihe von psychischen Erkrankungen effektiv

08.05.2024 Psychotherapie Nachrichten

Sportliche Betätigung hilft nicht nur bei Depression, sondern auch in Gruppen von Patientinnen und Patienten mit unterschiedlichen psychischen Erkrankungen, wie Insomnie, Panikattacken, Agoraphobie und posttraumatischem Belastungssyndrom. Sie alle profitieren längerfristig.

Wartezeit nicht kürzer, aber Arbeit flexibler

Psychotherapie Medizin aktuell

Fünf Jahren nach der Neugestaltung der Psychotherapie-Richtlinie wurden jetzt die Effekte der vorgenommenen Änderungen ausgewertet. Das Hauptziel der Novellierung war eine kürzere Wartezeit auf Therapieplätze. Dieses Ziel wurde nicht erreicht, es gab jedoch positive Auswirkungen auf andere Bereiche.

Chirurginnen und Chirurgen sind stark suizidgefährdet

07.05.2024 Suizid Nachrichten

Der belastende Arbeitsalltag wirkt sich negativ auf die psychische Gesundheit der Angehörigen ärztlicher Berufsgruppen aus. Chirurginnen und Chirurgen bilden da keine Ausnahme, im Gegenteil.

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 5/2022

Drug Use Frequency Variation and Mental Health During the COVID-19 Pandemic: an Online Survey

Factors Associated with the Problematic Use of Video Games in Adolescents and Young People

Intolerance of Uncertainty and Mental Wellbeing: Serial Mediation by Rumination and Fear of COVID-19

Correction to: Psychopathological Consequences Related to Problematic Instagram Use Among Adolescents: The Mediating Role of Body Image Dissatisfaction and Moderating Role of Gender

Malaysian Pharmacy Students’ Knowledge, Attitudes and Perceptions on Mental Health: a Cross-sectional Study

Psychometric Properties of the Turkish Version of the Bergen Work Addiction Scale