1. Introduction
ccess to the Internet is increasingly easy due to advances in mobile technology and the prevalence of smartphones [
1,
2]. Social Network Sites (SNSs) are virtual communities where users can create individual public profiles, interact with real-life friends, and meet other people based on shared interests [
3].
Compared to the general population, teenagers and students are the most frequent users of SNSs [
4]. Kuss & Griffiths also found that between 55% and 82% of teenagers and young adults use SNSs regularly [
5]. Kim and et al.’s study has shown that seeking friends, social support, information, and entertainment were found to be the most significant motivations for SNSs usage in a sample of 589 undergraduate students [
6].
Addiction to SNSs is an international issue with numerous Methods of measurement [
7]. The transition from normal to problematic SNSs use occurs when SNS is viewed by the individual as an important (or even exclusive) mechanism to relieve stress, loneliness, or depression [
8].
Tang & Koh’s study showed that 29.5% of Singaporean college students possess SNS addiction [
10]. Early maladaptive schema evolves in early childhood through negative experiences with key characters in one’s life. Maladaptive schemas are the cognitive infrastructures that lead to the formation of irrational beliefs. Early maladaptive schema has a profound effect on thought, feeling, behaviors, and the way people interact with others [
14]. Maladaptive schemas are not directly responsible for personality disorders, although, they increase one’s vulnerability toward disorders [
15]. Therefore, a hypothesis was formulated: there is a significant relationship between the early maladaptive schema and SNSs addiction.
Given the concerns outlined above, the present study attempted to find an academic answer to the above hypothesis. Such knowledge will also inform more effective intervention of problematic use of SNSs, and prevention of the development of addiction to SNSs among medical and allied health students.
2. Methods
This cross-sectional study was performed on medical and allied medical science students of Semnan University of Medical Sciences in 2019. Sampling was done by stratified random. The sample size was 384 people based on the Cochran formula. In this study, Yang Schema Questionnaire and Mobile-based Social Network Addiction Questionnaire were used as data collection tools.
3. Results
A total of 215 students (61.4%) had at least one early maladaptive schema, while 135 (38.6%) had no maladaptive schema (
Table 1).
The mean score of early maladaptive schemas for students was 188.22±41.66 and 45 (12.9%) of them had a score higher than average. The mean (or median) score for all domains (except the guided by others/attention) in students with addiction to social networks was higher so that the difference in the scheme of detachment and exclusion (P=0.004), guided by others (P=0.024), and self-regulation and impaired performance (P=0.002) were significant. The female gender (OR=0.35, P=0.021), age over 21 years (OR=0.56, P<0.001), the formation of the schema of recognition (OR=0.54, P=0.01), and the formation of the schema entitlement (OR=0.47, P=0.002) with the reduction and the formation of the schema of social isolation/emotional inhibition (OR=2.94, P=0.006) was accompanied with increasing of the chance of being addicted to social networks.
4. Discussion
The results of this study, on the one hand, showed that social network addiction is a complex phenomenon that is related to psychological, social, and cultural factors; on the other hand, it showed the depth and complexity of early maladaptive schemas in challenges and phenomena among young people, especially students. Given the emergence of new technologies in the future, these results enable us to further root out future trends among young people and develop strategies for intervention programs such as schema therapy to prevent and treat the problems among young people. Thus, educational institutions can guide the use of social networks among students to improve education.
Ethical Considerations
Compliance with ethical guidelines
The study approved by Ethics Committee of Semnan University of Medical Sciences (IR.SEMUMS.REC.1396.140).
Funding
The research was supported by Semnan University of Medical Sciences (Grant No.: 1457).
Authors contributions
Study design: Mehdi Kahouei, Masoumeh Alimohammadi; Acquisition of data: Fatemeh Paknazar, Ghazaleh Mosayebi; Data analysis: Fatemeh Paknazar; Interpreting the results: Mehdi Kahouei, Masoumeh Alimohammadi; Writing – review & editing, approve the final version of the manuscript: All authors.
Conflicts of interest
The authors declared no conflict of interests.
Acknowledgements
We would like to thank the Clinical Research Development Unit of Kowsar and Amir-al-Momenin Educational, Research and Therapeutic Centers of Semnan University of Medical Sciences for providing facilities to this work.
References
- Subrahmanyam K, Reich SM, Waechter N, Espinoza G. Online and offline social networks: Use of social networking sites by emerging adults. Journal of Applied Developmental Psychology. 2008; 29(6):420-33. [DOI:10.1016/j.appdev.2008.07.003]
- Farzandipur M, Rangraz Jeddi F, Azimi E. Factors affecting successful implementation of hospital information systems. Acta Informatica Medica. 2016; 24(1):51-5. [DOI:10.5455/aim.2016.24.51-55] [PMID] [PMCID]
- Barnes SJ, Pressey AD, Scornavacca E. Mobile ubiquity: Understanding the relationship between cognitive absorption, smartphone addiction and social network services. Computers in Human Behavior. 2019; 90:246-58. [DOI:10.1016/j.chb.2018.09.013]
- Griffiths MD, Kuss DJ, Demetrovics Z. Social networking addiction: An overview of preliminary findings. In: Rosenberg KP, Feder LC, editors. Behavioral Addictions: Criteria, Evidence, and Treatment. Waltham, MA: Academic Press; 2014. p. 119-141. [DOI:10.1016/B978-0-12-407724-9.00006-9] [PMID]
- 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):3528-52. [DOI:10.3390/ijerph8093528] [PMID] [PMCID]
- Kim Y, Sohn D, Choi SM. Cultural difference in motivations for using social network sites: A comparative study of American and Korean college students. Computers in Human Behavior. 2011; 27(1):365-72. [DOI:10.1016/j.chb.2010.08.015]
- Masters K. Social networking addiction among health sciences students in Oman. Sultan Qaboos University Medical Journal. 2015; 15(3):e357-63. [DOI:10.18295/squmj.2015.15.03.009] [PMID] [PMCID]
- Griffiths MD. Social networking addiction: Emerging themes and issues. Journal of Addiction Research & Therapy. 2013; 4(5):38-47. [DOI:10.4172/2155-6105.1000e118]
- Doosti Irani A, Bagheri Amiri F, Khajehkazemi R, Mostafavi E. [Prevalence of Internet addiction among students and graduates of epidemiology, clinical sciences, and basic sciences in Iran: A cross-sectional study (Persian)]. Iranian Journal of Epidemiology. 2017; 13(1):14-21. http://irje.tums.ac.ir/article-1-5687-en.html
- Tang CSK, Koh YYW. Online social networking addiction among college students in Singapore: Comorbidity with behavioral addiction and affective disorder. Asian Journal of Psychiatry. 2017; 25:175-8. [DOI:10.1016/j.ajp.2016.10.027] [PMID]
- Forghani MM, Mohajeri R. [The relationship between the use of figurative communication networks and the changes in the life style of youth (Persian)]. New Media Studies. 2018; 4(13):259-92. [DOI:10.22054/CS.2018.24690.293]
- Hajizadeh Meymandi M, Vakili Ghasemabad S, Mirmongereh A. [A survey of the relationship between socio-psychological factors and internet addiction (Case study: Girl students of Yazd University) (Persian)]. Journal of Woman in Culture Arts. 2017; 8(4):473-92. [DOI:10.22059/JWICA.2016.61790]
- Guraya SY. The usage of social networking sites by medical students for educational purposes: A meta-analysis and systematic review. North American Journal of Medical Sciences. 2016; 8(7):268-78. [DOI:10.4103/1947-2714.187131] [PMID] [PMCID]
- Farrell JM, Reiss N, Shaw IA. The schema therapy clinician's guide: a complete resource for building, group, and compilation therapy for schematic mentality [M. Hedayati, A. Samimi, Persian trans]. Tehran: Arjomand; 2017. http://opac.nlai.ir/opac-prod/bibliographic/4498111
- Shajari F, Sohrabi F, Jomehri F. Relationship between early maladaptive schema and internet addiction: A cross-sectional study. Asian Journal of Pharmaceutical Research and Health Care. 2016; 8(3):84-91. [DOI:10.18311/ajprhc/2016/4334]
- La Barbera D, La Paglia F, Valsavoia R. Social network and addiction. Studies in Health Technology and Informatics. 2009; 144:33-6. [PMID]
- Shayegh S, Azad H, Bahrami H. [On the relationship between internet addiction and personality traits in adolescents in Tehran (Persian)]. Journal of Fundamentals of Mental Health. 2009; 11(42):149-58. [DOI:10.22038/JFMH.2009.1637]
- Landers RN, Lounsbury JW. An investigation of big five and narrow personality traits in relation to internet usage. Computers in Human Behavior. 2006; 22(2):283-93. [DOI:10.1016/j.chb.2004.06.001]
- Ahlan AR, Balogun NA. Internet usage and personality traits: finding relationship in learning institution. Transnational Journal of Science and Technology. 2013; 3(3):1-13. http://www.tjournal.org/tjst_march_2013/01.pdf
- Tabatabaie TS, Tahan M. [The role of Internet addiction on the quality of life of nursing students of Islamic Azad University Ghaenat (Persian)]. Journal of Zabol Medical School. 2019; 2(2):72-8. http://jzms.ir/index.php/JZMS/article/view/134
- Hakak SM, Kazemi Sh, Kakavand AR. [The association between childhood traumas and dissociative experiences with Internet addiction in students of International University of Imam Khomeiny (Persian)]. Journal of Psychological Studies. 2019; 15(1):23-40. [DOI:10.22051/PSY.2018.17767.1509]
- Mamashli L, Barani F, Hojjati H, Aghazi N, Hekmatipour N. [Assessment the rate of Internet addiction and mobile phone damage in nursing students of Azad University, Ali Abad Katoul, 2016 (Persian)]. Iranian Journal of Nursing Research. 2019; 14(2):15-22. http://ijnr.ir/article-1-2152-en.html
- Faghanpour Ganji M. [The mediating role of early maladaptive schemas in attachment styles and addiction to mobile social networks in students (Persian)]. The Journal of New Advances in Behavioral Sciences. 2018; 3(22):18-37. http://ijndibs.com/browse.php?a_id=227&sid=1&slc_lang=fa
- Ghiasy M, Molavi H, Neshat doost HT, Salavati T. [Validation of Yang schema questionnaire (The third edition of the short form) in two groups of normal and mentally impaired people in Tehran (Persian)]. Journal Psychological Knowledge. 2012; 1(3):64-72. https://psychac.scu.ac.ir/article_11692.html?lang=fa
- Khajeahmadi M, Pooladi Sh, Bahreini M. [Design and assessment of psychometric properties of the addiction to mobile questionnaire based on social networks (Persian)]. Iranian Journal of Psychiatric Nursing. 2017; 4(4):43-51. http://ijpn.ir/article-1-884-en.html
- Beheshtian M. [Comparing early maladaptive schemas of healthy female students and those addicted to the Internet (Persian)]. Women Studies. 2013; 4(8):61-71. http://womenstudy.ihcs.ac.ir/article_1072.html
- Malcolm M, Frost H, Cowie J. Loneliness and social isolation causal association with health-related lifestyle risk in older adults: A systematic review and meta-analysis protocol. Systematic Reviews. 2019; 8(1):48. [DOI:10.1186/s13643-019-0968-x] [PMID] [PMCID]
- Weiner JL, Karkhanis AN, Rau A, Skelly MJ, Jones SR. SY17-2: Adolescent social isolation as a model of alcohol addiction vulnerability. Alcohol and Alcoholism. 2015; 50(Suppl_1):i20. [DOI:10.1093/alcalc/agv076.71]
- Wafae IS, Tarik Gh, Ahmed A, Fatima-Zahrae A, Khadija K, Khaoula M. Measurement of early maladaptive schemas in heroin addicts treated with methadone in north of Morocco. European Journal of Investigation in Health Psychology and Education, 2018; 8(3):185-96. https://www.mdpi.com/2254-9625/8/3/185