Smartphone addiction and its relation with bullying, sleep quality, and depression among children
Keywords:
Addiction, bullying, children, depression, sleep quality, smartphoneAbstract
Smartphone addiction has emerged as a major concern among children over the past few years and incredibly increase with the outbreak of COVID-19, making a greater threat to their physical and mental health. This study aimed to assess the prevalence of smartphone addiction and its relation to bullying victimization, sleep problems, and depression among children. Sample: a total of 300 children (102 boys and 198 girls), 9-14 years old participated in the study. Setting: This study was conducted at two schools (Salka primary school, and 'Salka' preparatory school) in Salka village, Shpin Elkom city, Menoufia Governorate, Egypt. Tools: Four tools were used for data collection. Tool 1 consists of two parts. Part one was sociodemographic data questionnaire and part two was Smartphone Addiction Inventory Scale. Tool two: Children’s Sleep Habits Questionnaire (CSHQ). Tool three: School Bullying/Victimization Scale. Tool four: Center for Epidemiologic Studies Depression Scale (CES-D). Results: According to the cut-off level on the smartphone addiction, sleep quality, depression, and bullying scales, of the 300 children, 209(69.67) were addicted to smartphones and 246 (82%) have poor sleep quality, 264 (88%) were depressed and 249 (84.41%) were bullied.
Downloads
References
Abd Elrazek, F & Mahmoud, H (2019). Bullying Behavior among School-Age Children and Its Relationship with Body Weight and Self-Esteem.
Buabbas, A., Hasan, H., & Buabbas, M. A. (2021). The associations between smart device use and psychological distress among secondary and high school students in Kuwait. PLoS one, 16(6), e0251479.
Cerniglia, L., Zoratto, F., Cimino, S., Laviola, G., Ammaniti, M., & Adriani, W. (2017). Internet Addiction in adolescence: Neurobiological, psychosocial and clinical issues. Neuroscience & Biobehavioral Reviews, 76, 174-184.
Cha, S. S., & Seo, B. K. (2018). Smartphone use and smartphone addiction in middle school students in Korea. Prevelance, social networking service, and game use. Health Psychology Open, 5(1) 2055102918755046. https://doi.org/10.1177/ 2055102918755046.
Chang, F. C., Chiu, C. H., Chen, P. H., Chiang, J. T., Miao, N. F., Chuang, H. Y., ... & Tseng, C. C. (2022). Smartphone addiction and victimization predict sleep problems and depression among children. Journal of Pediatric Nursing.
Chen, L., Yan, Z., Tang, W., Yang, F., Xie, X., & He, J. (2016). Mobile phone addiction levels and negative emotions among Chinese young adults: The mediating role of interpersonal problems. Computers in Human Behavior, 55, 856-866.
Cheung, T., Lee, R. L. T., Tse, A. C. Y., Do, C. W., So, B. C. L., Szeto, G. P. Y., & Lee, P. H. (2019). Psychometric properties and demographic correlates of the smartphone addiction scale-short version among Chinese children and adolescents in Hong Kong. Cyberpsychology, Behavior and Social Networking, 22(11), 714–723. https://doi.org/ 10.1089/cyber.2019.0325
Chiang, J. T., Chang, F. C., Lee, K. W., & Hsu, S. Y. (2019). Transitions in smartphone addiction proneness among children: The effect of gender and use patterns. PloS one, 14(5), e0217235.
Chang, F. C., Chiu, C. H., Miao, N. F., Chen, P. H., Lee, C. M., Chiang, J. T., & Pan, Y. C. (2015) The relationship between parental mediation and Internet addiction among adolescents, and the association with cyberbullying and depression. Comprehensive psychiatry, 57, 21-28.
Cho, K. -S., & Lee, J. -M. (2017). Influence of smartphone addiction proneness of young children on problematic behaviors and emotional intelligence: Mediating selfassessment effects of parents using smartphones. Computers in Human Behavior, 66, 303–311. https://doi.org/10.1016/j.chb.2016.09.063
Cook S. (2021) Cyberbullying facts and statistics for [Online]: https://www.comparitech.com/internet-providers’
CT MoSa .( 2020) The Survey on Smartphone Overdependence in 2019. Seoul: Korean National Information Society Agency
de Freitas, B. H. B. M., Gaíva, M. A. M., Bernardino, F. B. S., & Diogo, P. M. J. (2021). Smartphone addiction in adolescents, part 2: Scoping review—prevalence and associated factors. Trends in Psychology, 29(1), 12-30.
Eales, L., Gillespie, S., Alstat, R. A., Ferguson, G. M., & Carlson, S. M. (2021). Children’s screen and problematic media use in the united states before and during the covid‐19 pandemic. Child development, 92(5), e866-e882.
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
Faizin, M. N., Wahyuningrum, E., & Gayatina, A. K. (2021). Relationship Between Smartphone Addiction and Sleep Disturbance in School Age Children. Jurnal Ilmu Keperawatan Jiwa, 4(4), 733-740.
Hökby, S., Hadlaczky, G., Westerlund, J., Wasserman, D., Balazs, J., Germanavicius, A., ... & Carli, V. (2016). Are mental health effects of internet use attributable to web-based content or perceived consequences of usage? A longitudinal study of European adolescents. JMIR mental health, 3(3), e592
Hong, Y. P., Yeom, Y. O., & Lim, M. H. (2021). Relationships between smartphone addiction and smartphone usage types, depression, ADHD, stress, interpersonal problems, and parenting attitude with middle school students. Journal of Korean medical science, 36(19).
Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., ... & Kim, D. J. (2013). Development and validation of a smartphone addiction scale (SAS). PloS one, 8(2), e56936.
Lee, J., Lim, H., Allen, J., Choi, G., & Jung, J. (2021, October). Smartphone Addiction and Depression among Low-Income Boys since COVID-19: The Moderating Effect of Being an Only Child. In Healthcare (Vol. 9, No. 10, p. 1350). MDPI.
Li, J. B., Lau, J. T. F., Mo, P. K. H., Su, X. F., Tang, J., Qin, Z. G., & Gross, D. L. (2017). Insomnia partially mediated the association between problematic internet use and depression among secondary school students in China. Journal of Behavioral Addictions, 6(4), 554–563. https://doi.org/10.1556/2006.6.2017.085.
Lin, Y. H., Pan, Y. C., Lin, S. H., & Chen, S. H. (2017). Development of short-form and screening cutoff point of the smartphone addiction inventory (SPAI-SF). International Journal of Methods in Psychiatric Research, 26(2). https://doi.org/10.1002/mpr.1525.
Lin, L., Liu, J., Cao, X., Wen, S., Xu, J., Xue, Z., & Lu, J. (2020). Internet addiction mediates the association between cyber victimization and psychological and physical symptoms: moderation by physical exercise. BMC Psychiatry, 20(1), 1-8.
Liu, Q. Q., Zhou, Z. K., Yang, X. J., Kong, F. C., Niu, G. F., & Fan, C. Y. (2017). Mobile phone addiction and sleep quality among Chinese adolescents: A moderated mediation model. Computers in Human Behavior, 72, 108-114.
Lozano-Blasco, R., Quilez-Robres, A., Rodriguez-Araya, R., & Casanovas-López, R. (2022). Addiction to New Technologies and Cyberbullying in the Costa Rican Context. Education Sciences, 12(12), 876
Mokhtarinia, H. R., Torkamani, M. H., Farmani, O., Biglarian, A., & Gabel, C. P. (2022). Smartphone addiction in children: patterns of use and musculoskeletal discomfort during the COVID-19 pandemic in Iran. BMC Pediatrics, 22(1), 1-8
Nasution, M. (2021, January). Factors Affecting Smartphone Addiction In Children. In Proceeding International Seminar Of Islamic Studies (Vol. 2, No. 1, pp. 108-115).
NICHD SECCYD(2014)-Wisconsin Children’s Sleep Habits Questionnaire (Abbreviated). Available from: http://www.education.uci.edu/childcare/pdf/in
Nie, J., Wang, P., & Lei, L. (2020). Why can’t we be separated from our smartphones? The vital roles of smartphone activity in smartphone separation anxiety. Computers in Human Behavior, 109(September 2019), 106351. https://doi.org/10.1016/j.chb.2020.106351
Ofcom. (2020). Children and parents: Media use and attitudes report 2019. https://www. ofcom.org.uk/__data/assets/pdf_file/0023/190616/children-media-use-attitudes2019-report.pdf.
Oliviero, B., Emanuela, M., Mattia, D., Elena, F., Karen, S., Grazia, M. M., ... & Rafaele, F. (2021). Changes in sleep patterns and disturbances in children and adolescents in Italy during the Covid-19 outbreak. Sleep Medicine. https://doi.org/10.1016/j.sleep.2021.02.003
Owens, J. A., Spirito, A., & McGuinn, M. (2000). The Children's Sleep Habits Questionnaire (CSHQ): psychometric properties of a survey instrument for school-aged children. Sleep-New York-, 23(8), 1043-1052.
Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401
Sümen, A., & Evgin, D. (2021). Social media addiction in high school students: a cross-sectional study examining its relationship with sleep quality and psychological problems. Child Indicators Research, 14(6), 2265-2283.
Shin, Y. M. (2017). Smartphone addiction in children and adolescents. In K. S. Young & C. N. de Abreu (Eds.), Internet addiction in children and adolescents: Risk factors, assessment, and treatment (pp. 29–45). Springer Publishing Company. https://doi.org/10.1891/9780826133731.0002
Tymofiyeva, O., Yuan, J. P., Kidambi, R., Huang, C. Y., Henje, E., Rubinstein, M. L., ... Xu, D. (2020). Neural correlates of smartphone dependence in adolescents. Frontiers in Human Neuroscience, 14, Article 564629. https://doi.org/10.3389/fnhum.2020. 564629.
US CDC (2016). Youth risk behavior surveillance system questionnaire content 1991–2017. Valido, T., Jackson, D., & O’Brien, L. (2009). Mad, sad and hormonal: The gendered nature of adolescent sleep disturbance. Journal of Child Health Care: For Professionals Working With Children in the Hospital and Community, 13(1), 7–18. https://doi.org/10.1177/ 1367493508098377
Yang, Z., Asbury, K., & Griffiths, M. D. (2019). Do Chinese and British university students use smartphones differently? Cross-cultural mixed methods study. International Journal of Mental Health and Addiction, 17(3), 644-657.
Yang, H. J., Soong, W. T., Kuo, P. H., Chang, H. L., & Chen, W. J. (2004). Using the CES-D in a two-phase survey for depressive disorders among nonreferred adolescents in Taipei: A stratum-specific likelihood ratio analysis. Journal of Affective Disorders, 82(3), 419–430. https://doi.org/10.1016/j.jad.2004.04.008.
Published
How to Cite
Issue
Section
Copyright (c) 2023 International journal of health sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.








