ANALYSIS OF MENTAL DISORDERS AND SOCIAL MEDIA ADDICTION OF ADOLESCENT NURSING STUDENTS ON THE BASIS OF GENDER

Objective: The aim of this study is to examine mental disorders and social media addiction in adolescentnursing students in terms of gender.Methods: The population of this descriptive research was comprised of students of Nursing Departmentof the Faculty of Health Sciences of a public university in Turkey. Research data were collected via‘Personal Information Form’ which addressed socio-demographic characteristics of participants, ‘SocialMedia Addiction Scale (SMA Scale)’ and ‘Brief Symptom Inventory (BSI)’. Frequencies, means, standarddeviations, Kruskal-Wallis test and Mann-Whitney U test were utilized in the analysis of data obtainedthrough the research.Results: Mean age of students taking part in the research is 19.69±1.15. It was found that 51.3% ofstudents participating in the research were females and smoking was more common among femalestudents. It was ascertained that females had higher means of scores obtained from overall BSI and itsanxiety, depression, and negative self-evaluation sub-scales. In light of the finding that the mean of scoresobtained by female students from the overall SMA Scale was 77.00 (41-143), it was identified that femalestudents had social media addiction. It was found that there was a statistically significant positiverelationship between the mean of scores of overall SMA Scale & its sub-scales and overall BSI & its subscales.Conclusions: Initiatives and activities that can improve students ' mental health and reduce their socialmedia addictions should be planned.

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1. Arslan G. Psychological maltreatment, forgiveness, mindfulness, and internet addiction among young adults: A study of mediation effect. Computer in Human Behavior 2017;72:57-66.
2. Chou C, Hsiao MC. Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students’ case. Computers & Education, 2000;35(1):65-80.
3. Tao R, Huang X, Wang J, Zhang H, Zhang Y, Li M. Proposed diagnostic criteria for internet addiction. Addiction 2010; 105(3):556-564.
4. Chou C, Hsiao MC. Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students’ case. Computers & Education 2000;35(1):65-80.
5. Shapira NA, Goldsmith TD, Keck PE, Khosla UM, McElroy S L. Psychiatric features of individuals with problematic internet use. Journal of affective disorders 2000;57(1):267-272.
6. Griffiths M. Does internet and computer “addiction” exist? some case study evidence. Cyberpsychology & Behavıor 2000;3(2):211-218.
7. Andreassen CS. Development of a facebook addiction scale. Psychological Reports 2012;110(2): 501-517.
8. Kuss DJ, Griffiths MD. Online social networking and addiction- a review of the psychological literature. International journal of environmental research and public health 2011;8(9):3528-3552.
9. Johansson A, Götestam G. Internet addiction: characteristics of a questionnaire and prevalence in Norwegian youth (12–18 Years). Scandinavian Journal of Psychology 2004;45:223–229.
10. Kalkan M, Kaygusuz C. Internet addiction. 1 st. Ankara: Anı Publishing, 2013. p.27-35.
11. Steinberg L. Puberty. Figen Çok (Translated Ed). Ankara: İmge Publishing, 2007. p.21.
12. Griffiths M. Sex on the internet: Observations and implications for internet sex addiction. The Journal of Sex Research 2001;38(4):333-342.
13. Shaw M, Black DW. Internet addiction. CNS Drugs 2008; 22(5):353-365.
14. Davis RA. A cognitive-behavioral model of pathological internet use. Computers in Human Behavior 200;17:187-195.
15. Young K. What makes the internet addictive. (1997). (Access: 04.11.2019), http://www.icsao.org/fileadmin/ Divers_papiers/KYoung-internetaddiction4.pdf
16. Bhagat S. Is Facebook alone a planet of individuals? Literature review. International Journal of Indian Psychology 2015;3 (1):5-9.
17. Chou C, Condron LA, Belland JC. Review of the research on internet addiction. Educational Psychology Review 2005; 17(4), 363-388.
18. Yao MZ, Zhong ZJ. Loneliness social contacts and Internet addiction: A cross-lagged panel study. Computers in Human Behavior 2014;30:164-170.
19. Derogatis LR. The Brief Symptom Inventory-BSI administration, scoring and procedures manual-II. USA, Clinical Pscyhometric Research Inc.1992.
20. Sahin NH, Batigun AD, Uğurtaş S. Short Symptom Inventory (SSI): Validity, Reliability and Factor Structure of Use for Adolescents . Turkish Journal of Psychiatry. 2002;13(2).
21. Şahin Hisli N, Durak A. Brief Symptom Inventory: Its Configuration For Turkish Youth, Turkish Journal Of Psychology 1994;9 (31):44-56
22. Tas I. Validation and Reliability Study for the Short Form of Social Media Addiction Scale for Adolescents. (SMBÖ-KF) Online Journal of Technology Addiction & Cyberbullying, 2017;4 (1) 27-40.
23. Unal AT. Social Media Addiction: A Research on University Students. PhD Thesis. Marmara University, 2015.
24. Okumuş V, Parlar H. Çocukların Sosyal Medya Kullanım Amaçları Ve Ebeveyn Tutumları. Istanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi. 2018;17(33):357-368.
25. Çelen FK, Çelik A, Seferoğlu SS. nternet usage of children and online risks waiting for them. Academic Informatics. 2011;2:1-8.
26. Reitsma MB, Fullman N, Salama JS, Abajobir A, Akate KH, Abbafati C, Gakidou E. Smoking prevalance and attributable disease burden in 195 countries and territories, 1990- 2015: A systematic analysis from the Global Burden of Disease study. Lancet. 2015;389:1885–1906.
27. Singh T, Arrazola AR, Corey GC, Husten CG, Neff LJ, Homa DM, .King BA. Tobacco use among middle and high school students—United States, 2011– 2015. MMWR. Morbidity and mortality weekly report. Weekly; 2016 / 65(14);361–367.
28. Krishnan-Sarin S, Morean M E, Camenga DR, Cavallo DA, Kong G. E-cigarette use among high school and middle school adolescents in Connecticut. Nicotine & Tobacco Research. 2014;17(7):810-818.
29. Mandil A, BinSaeed A, Ahmad S, Al-Dabbagh R, Alsaadi M, Khan M. Smoking among university students: a gender analysis. Journal of Infection and Public Health.2010;3(4):179-187.
30. World Health Organization. Gender and women’s mental health. (Access: 08.12.2019). Retrieved from: http://www.who.int/mental_health/prevention/gen derwomen.
31. Kessler RC, Avenevoli S, Costello EJ, Georgiades K, Green JG, Gruber MJ, Sampson NA. Prevalence, persistence, and sociodemographic correlates of DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Archives of General Psychiatry 2012;69(4):372-380.
32. Wilhelm K, Parker G, Geerligs L, Wedgwood L. Women and depression: a 30 year learning curve. Australian & New Zealand Journal of Psychiatry. 2008;42(1):3-12.
33. Bender PK, Reinholdt-Dunne ML, Esbjørn BH, Pons F. Emotion dysregulation and anxiety in children and adolescents: Gender differences. Personality and Individual Differences.2012;53(3):284-288.
34. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of general psychiatry. 2005;62(6):593-602.
35. Avison WR, Mc Alpine DD. “Gender Differences in Symptoms of Depression Among Adolescents”, Journal of Health and Social Behavior, 33(2), 1992, ss.77-96; R.L. James, “Correlation Between Adolescent Self-Esteem, Religiosity, and Perceived Family Support”, (Access: 24.08.2008). Retrieved from: http://clearinghouse.missouriwestern.edu/manusc ripts/247.asp
36. Hankin BL, Mermelstein R, Roesch L. Sex differences in adolescent depression: Stress exposure and reactivity models. Child Development 2007;78(1):279-295.
37. Thaker R, Verma A. A study of perceived stress and coping styles among mid adolescents. National Journal of Physiology, Pharmacy and Pharmacology 2014;4(1):25.
38. Rehbein F, Mößle T. Video game and Internet addiction: is there a need for differentiation? Sucht, 2013;59(3):129-142.
39. Perrin A. Social networking usage: 2005- 2015. Pew Research Center 2015. Retrieved from: http://www.pewinternet.org/2015/10/08/2015/Soci al-Networking-Usage-2005-2015/
40. Deniz L, Gürültü E. Social media addiction of high school students. Kastamonu Education Journal 2018; 26(2):355-367.
41. Van Deursen AJ, Bolle CL, Hegner SM, Kommers PA. Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, selfregulation, age, and gender. Computers in human behavior 2015;45:411-420.
42. Andreassen CS, Billieux J, Griffiths MD, Kuss DJ, Demetrovics Z, Mazzoni E, Pallesen S. The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors. 2016; 30(2):252.
43. Kuss DJ, Griffiths MD. Excessive online social networking: Can adolescents become addicted to Facebook? Education and Health 2011;29(4):63- 66.
44. Li W, O’Brien JE, Snyder SM, Howard MO. Characteristics of internet addiction/pathological internet use in US university students: a qualitative-method investigation. PloS one 2015;10(2):e0117372.
45. Brand M, Young KS, Laier C. Prefrontal control and Internet addiction: a theoretical model and review of neuropsychological and neuroimaging findings. Frontiers in Human Neuroscience. 2014;8:375.
46. Gámez-Guadix M. Depressive symptoms and problematic Internet use among adolescents: Analysis of the longitudinal relationships from the cognitive–behavioral model. Cyberpsychology, Behavior, and Social Networking. 2014;17(11):714-719.
47. Kratzer S, Hegerl U. Is" Internet Addiction" a disorder of its own?--a study on subjects with excessive internet use. Psychiatrische Praxis. 2008; 35(2):80-83.
48. Yen J Y, Ko CH, Yen CF, Wu HY, Yang MJ. The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. Journal of Adolescent Health. 2007;41(1):93-98
49. Hong FY, Huang DH, Lin HY, Chiu SL. Analysis of the psychological traits, Facebook usage, and Facebook addiction model of Taiwanese university students. Telematics and Informatics 2014;31(4): 597-606.