Prevalence of Smartphone Addiction and its Relation with Depression among School-going Adolescents
DOI:
https://doi.org/10.47203/IJCH.2023.v35i01.006Keywords:
Adolescent, Child, Aged, 80 and over Smartphone, Internet Addiction Disorder, Patient Health Questionnaire, Prevalence, Screen Time, Cross-Sectional Studies, Depression, Schools Parents, Software, Centers for Disease Control and Prevention, U.S.Abstract
Background: Smartphone addiction among adolescents is an increasingly recognized problem worldwide. It affects the
psychological well-being of an individual.
Aim and objective: The current study aimed to assess smartphone addiction’s prevalence and its relation to depression among adolescents.
Methods: This cross-sectional study was conducted among 400 school-going adolescents. Smartphone Addiction Scale - Short version (SAS-SV) and Patient Health Questionnaire (PHQ-9) were used to assess the prevalence of smartphone addiction and depression. Data were analyzed using Epi info software for windows (CDC, Atlanta). Statistical significance was set at p < 0.05. Results: The mean age of study participants was 14.4 years (SD=1.5 years). The prevalence of smartphone addiction was 23%, while depression was present among 45% of the study participants. Comparatively higher duration of smartphone use was significantly associated with smartphone addiction. Depression was significantly higher among smartphone addicts (77.2%) as compared to their counterparts (35.4%).
Conclusion and Recommendation: The smartphone usage of adolescents, if not monitored, could lead to its addiction and thus increase the risk of depression among them. To prevent smartphone addiction, limiting children’s screen time is recommended. In this regard, parents can play a pivotal role by becoming responsible digital role models for their children.
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References
Number of smartphone users in India. Available from URL: https://www.statista.com/. [cited 1-9-2022].
Serra G, Lo Scalzo, L, Giuffre M. et al. Smartphone use and addiction during the coronavirus disease 2019 (COVID- 19) pandemic: cohort study on 184 Italian children and adolescents. Ital J Pediatr 2021;47, 150 .
Depression. Available from URL: https://www.who.int/. [cited 1-9-2022]
Parasuraman S, Sam AT, Yee SWK, Chuon BLC, Ren LY. Smartphone usage and increased risk of mobile phone addiction: A concurrent study. Int J Pharm Investig. 2017;7(3):125-131.
Thomee S. Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure. Int J Environ Res Public Health. 2018 Nov 29;15(12):2692.
Elhai J.D., Levine J.C., Dvorak R.D., Hall B.J. Non-social features of smartphone use are most related to depression, anxiety and problematic smartphone use. Comput. Hum. Behav. 2016;69:75–82.
Yen CF, Tang TC, Yen JY, Lin HC, Huang CF, Liu SC et al. Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. J. Adolesc. 2009;32:863–73.
Ghasempour A., Mahmoodi-Aghdam M. The Role of Depression and Attachment Styles in Predicting Students’ Addiction to Cell Phones. Addict. Health. 2015;7:192–197.
Boers E, Afzali MH, Newton N, Conrod P. Association of Screen Time and Depression in Adolescence. JAMA Pediatr. 2019;173:853-9.
Li L, Griffiths MD, Mei S, Niu Z. Fear of Missing Out and Smartphone Addiction Mediates the Relationship Between Positive and Negative Affect and Sleep Quality Among Chinese University Students. Front. Psychiatry 2020;11:877.
Bhanderi DJ, Pandya YP, Sharma DB. Smartphone Use and Its Addiction among Adolescents in the Age Group of 16-19 Years. Indian J Community Med. 2021;46(1):88-92.
Kwon M, Kim DJ, Cho H, Yang S. The smartphone addiction scale: development and validation of a short version for adolescents. PLoS One. 2013;8(12):e83558.
Kroenke K, Spitzer RL. The PHQ-9: A new depression and diagnostic severity measure. Psychiatric Annals 2002;32, 509-521.
Ganguly S, Samanta M, Roy P, Chatterjee S, Kaplan DW, Basu B: Patient health questionnaire-9 as an effective tool for screening of depression among Indian adolescents. J Adolesc Health. 2013, 52:546-51.
Avasthi A, Varma SC, Kulhara P, et al. Diagnosis of common mental disorders by using PRIME-MD Patient Health Questionnaire. Indian J Med Res, 2008; 127(2): 159–164.
Zou Y, Xia N, Zou Y, Chen Z, Wen Y. Smartphone addiction may be associated with adolescent hypertension: a crosssectional study among junior school students in China. BMC Pediatr 2019; 19: 310.
Kundapur R, Hanglur Narasimha H, Baisil S, Badiger S. Assessment of Smartphone Addiction among adolescents in a University. Indian J Community Health 2020;32:161-3.
Davey S, Davey A. Assessment of Smartphone Addiction in Indian Adolescents: A Mixed Method Study by Systematicreview and Meta-analysis Approach. Int J Prev Med. 2014;5:1500-11.
Kundapur R, Harshitha H N, Baisil S, Badiger S. Assessment of Smartphone Addiction among adolescents in a University. Indian J Comm Health. 2020;32:161-3.
Singh MM, Gupta M, Grover S. Prevalence & factors associated with depression among school going adolescents in Chandigarh, north India. Indian J Med Res. 2017;146:205-15.
Bharati DR, Kumari S, Prasad N, Choudhary SK, Kumar S, Pal R. Correlates of depression among school going adolescents in the urban area of Patna in eastern India. J Family Med Prim Care. 2022;11:1702-9.
Mohta A, Malhotra S, Gupta SK, Mani K, Patra BN, Nongkynrih B. Depression Among Adolescents in a Rural Area of Haryana, India: A Community-Based Study Using Patient Health Questionnaire-9. Cureus. 2021;29;13:e18388.
Adolescent mental health issues. Available from URL: www.who.int [cited 1-9-2022]
Kim SE, Kim JW, Jee YS. Relationship between smartphone addiction and physical activity in Chinese international students in Korea. J Behav Addict. 2015;4(3):200-5.
Abi-Jaoude E, Naylor KT, Pignatiello A. Smartphones, social E141.
Matar Boumosleh J, Jaalouk D. Depression, anxiety, and smartphone addiction in university students- A cross-sectional study. PLoS One. 2017;12:e0182239.
Wang Y, Ren X, Liu X, Zhu T. Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical study. JMIR Mhealth Uhealth. 2021; 6;9:e19046.
Salk RH, Hyde JS, Abramson LY. Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. Psychol Bull. 2017;143(8):783-822.
Wang L, Zhang Y, Yin H, Zhang Z, Tao Y, Xu Ye et al. The effects of parental relationships, and gender and grade differences on depressive disorder in Chinese adolescents: the evidence from multiple cross-sectional surveys (1999–2016). China popul. dev. stud. 2019; 3, 37–52.
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Copyright (c) 2023 Deepak Sharma, Naveen Krishan Goel, Ajeet Sidana, Shefali Kaura, Michelin Sehgal
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