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Adolescent Psychiatry

Editor-in-Chief

ISSN (Print): 2210-6766
ISSN (Online): 2210-6774

Research Article

The Prevalence of Major Depressive Disorder and Anxiety Disorder among Iranian Adolescents and their Association with Video Gaming and Internet Use

Author(s): Fariba Heidari, Sanaz Norouzi, Maryam Alsadat Kazemi-Shishvan and Hamid Rezaei*

Volume 12, Issue 1, 2022

Published on: 17 May, 2022

Page: [49 - 59] Pages: 11

DOI: 10.2174/2210676612666220415114504

Price: $65

Abstract

Background: Depression and anxiety are among the most common psychological disorders in adolescents. Studies have suggested a positive correlation between mental health problems and using the internet.

Objective: This study aimed to determine the burden of anxiety and major depressive disorder (MDD) and their association with internet use and video gaming in adolescents.

Methods: This community-based cross-sectional study was conducted on adolescents aged 13 to 18 years referred to the 33-Laleh health center at West Tabriz from March to September 2019. The short form Beck Depression Inventory (BDI-SF) and Screen for Child Anxiety Related Disorders (SCARED) scales were used. The data for demographic characteristics and the number of hours of internet use and video gaming per day were collected. The logistic regression test was applied.

Results: In this study, 150 adolescents were included with a male to female ratio of 1:1. Anxiety and mild, moderate, and severe depressive disorder were detected in 39 (26%), 16 (10.7%), 20 (13.3%), and 6 (4.0%) cases by screening tools, respectively. The mean age (SD) of participants was 14.8 (1.54) years. The mean duration (SD) of internet use and video gaming per day was 2.10 (±2.6) and 1.15 (± 1.7) hours, respectively. The odds of severe depressive symptoms increased by 42% per hour of video gaming (p=0.003) and 31% per hour of internet use (p=0.016).

Conclusions: Considering the significant positive association between depressive symptoms and video gaming and internet use, there is a necessity to call for actions to plan and implement psychological screening and subsequent supporting and treatment policies for those in need.

Keywords: Depression, anxiety, adolescent, video gaming, internet use, prevalence, SCARED.

Avenevoli, S., Swendsen, J., He, J.P., Burstein, M., Merikangas, K.R. (2015). Major depression in the national comorbidity survey-adolescent supplement: prevalence, correlates, and treatment. J. Am. Acad. Child Adolesc. Psychiatry, 54(1), 37-44.e2.
[http://dx.doi.org/10.1016/j.jaac.2014.10.010] [PMID: 25524788]
Beiter, R., Nash, R., McCrady, M., Rhoades, D., Linscomb, M., Clarahan, M., Sammut, S. (2015). The prevalence and correlates of depression, anxiety, and stress in a sample of college students. J. Affect. Disord., 173(2), 90-96.
[http://dx.doi.org/10.1016/j.jad.2014.10.054] [PMID: 25462401]
Boers, E., Afzali, M.H., Newton, N., Conrod, P. (2019). Association of screen time and depression in adolescence. JAMA Pediatr., 173(9), 853-859.
[http://dx.doi.org/10.1001/jamapediatrics.2019.1759] [PMID: 31305878]
Freeman, A., Tyrovolas, S., Koyanagi, A., Chatterji, S., Leonardi, M., Ayuso-Mateos, J.L., Tobiasz-Adamczyk, B., Koskinen, S., Rummel-Kluge, C., Haro, J.M. (2016). The role of socio-economic status in depression: Results from the courage (aging survey in Europe). BMC Public Health, 16(1), 1098.
[http://dx.doi.org/10.1186/s12889-016-3638-0] [PMID: 27760538]
Gladstone, T.R., Beardslee, W.R., O’Connor, E.E. (2011). The prevention of adolescent depression. Psychiatr. Clin. North Am., 34(1), 35-52.
[http://dx.doi.org/10.1016/j.psc.2010.11.015] [PMID: 21333838]
Habibpour, Z., Sharifi, A. (2009). A comparative study about the intensity of depression among girls and boys in teenage period. Nurs. Midwifery J., 7(1), 10-12.
Hashemian, S.S., Golshiri, P., Najimi, A., Moazemi-goudarzi, A. (2018). The relationship between Life skills, psychosocial abilities and depression in teenagers. J. Nurs. Educ., 6(6), 41-47. [In Persian.]
Hawgood, J., De Leo, D. (2008). Anxiety disorders and suicidal behaviour: An update. Curr. Opin. Psychiatry, 21(1), 51-64.
[http://dx.doi.org/10.1097/YCO.0b013e3282f2309d] [PMID: 18281841]
Hettema, J.M. (2008). What is the genetic relationship between anxiety and depression? Am. J. Med. Genet. C. Semin. Med. Genet., 148C(2), 140-146.
[http://dx.doi.org/10.1002/ajmg.c.30171] [PMID: 18412101]
Lorant, V., Croux, C., Weich, S., Deliège, D., Mackenbach, J., Ansseau, M. (2007). Depression and socio-economic risk factors: 7-year longitudinal population study. Br. J. Psychiatry, 190(4), 293-298.
[http://dx.doi.org/10.1192/bjp.bp.105.020040] [PMID: 17401034]
Madasu, S., Malhotra, S., Kant, S., Sagar, R., Mishra, A.K., Misra, P., Ahamed, F. (2019). Prevalence and determinants of anxiety disorders among adolescents in a rural community from northern India. Asian J. Psychiatr., 43, 137-142.
[http://dx.doi.org/10.1016/j.ajp.2019.05.009] [PMID: 31146170]
Madmoli, Y., Madmoli, M., Qashqaeinezhad, N., Bosak, S. (2016). Prevalence of depression and associated factors in adolescents of masjed-soleyman. Iran. J. Pediatr. Nurs., 2(4), 22-27.
Maras, D., Flament, M.F., Murray, M., Buchholz, A., Henderson, K.A., Obeid, N., Goldfield, G.S. (2015). Screen time is associated with depression and anxiety in Canadian youth. Prev. Med., 73, 133-138.
[http://dx.doi.org/10.1016/j.ypmed.2015.01.029] [PMID: 25657166]
Meeus, W. (2016). Adolescent psychosocial development: A review of longitudinal models and research. Dev. Psychol., 52(12), 1969-1993.
[http://dx.doi.org/10.1037/dev0000243] [PMID: 27893243]
Monga, S., Birmaher, B., Chiappetta, L., Brent, D., Kaufman, J., Bridge, J., Cully, M. (2000). Screen for Child Anxiety-Related Emotional Disorders (SCARED): Convergent and divergent validity. Depress. Anxiety, 12(2), 85-91.
[http://dx.doi.org/10.1002/1520-6394(2000)12:2<85:AID-DA4>3.0.CO;2-2] [PMID: 11091931]
Monirpour, N., Yazdandoost, R., Atefvahid, K., Delavar, A., Khosefi, H. (2005). The relation between demographic characteristics and prevalence rate in depression among adolescent undergraduate students at ray city. Social Welfare Quarterly, 4(14), 189-204.
Nair, M.K., Russell, P.S., Krishnan, R., Russell, S., Subramaniam, V.S., Nazeema, S., Chembagam, N., George, B. (2013). ADad 4: The symptomatology and clinical presentation of Anxiety Disorders among adolescents in a rural community population in India. Indian J. Pediatr., 80(2) (Suppl. 2), S149-S154.
[http://dx.doi.org/10.1007/s12098-013-1234-1] [PMID: 24062272]
Rabie, M., Khoramdel, K., Zerehpush, A., Palahang, H., Hojatkhah, S.M. (2014). Validity of the questionnaire for the revised version of the screen for child anxiety related emotional disorders (SCARED-41). Zahedan J. Res. Med. Sci., 16(5), 63-67.
Rajabi, G.R. (2005). Psychometric properties of beck depression inventory short form items (BDI-13). J. Iran. Psychol., 1(1), 4.
Rock, P.L., Roiser, J.P., Riedel, W.J., Blackwell, A.D. (2014). Cognitive impairment in depression: A systematic review and meta-analysis. Psychol. Med., 44(10), 2029-2040.
[http://dx.doi.org/10.1017/S0033291713002535] [PMID: 24168753]
Rostamzadeh, Z., Khalilzadeh, R. (2007). Prevalence and severity of depression in high school girls in Urmia. J. Nurse Midwifery, 5(2), 12-18.
Thapar, A., Collishaw, S., Pine, D.S., Thapar, A.K. (2012). Depression in adolescence. Lancet, 379(9820), 1056-1067.
[http://dx.doi.org/10.1016/S0140-6736(11)60871-4] [PMID: 22305766]
Turi, A., Miri, M., Beheshti, D., Yari, E., Khodabakhshi, H., Anani-Sarab, G. (2015). Prevalence of internet addiction and its relationship with anxiety, stress, and depression in intermediate students in Birjand city in 2014. J. Birjand Univ. Med. Sci., 22(1), 67-75.
Twenge, J.M., Joiner, T.E., Rogers, M.L., Martin, G.N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clin. Psychol. Sci., 6(1), 3-17.
[http://dx.doi.org/10.1177/2167702617723376]
Verboom, C.E., Sijtsema, J.J., Verhulst, F.C., Penninx, B.W., Ormel, J. (2014). Longitudinal associations between depressive problems, academic performance, and social functioning in adolescent boys and girls. Dev. Psychol., 50(1), 247-257.
[http://dx.doi.org/10.1037/a0032547] [PMID: 23566082]
Wartberg, L., Kriston, L., Zieglmeier, M., Lincoln, T., Kammerl, R. (2019). A longitudinal study on psychosocial causes and consequences of Internet gaming disorder in adolescence. Psychol. Med., 49(2), 287-294.
[http://dx.doi.org/10.1017/S003329171800082X]

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