The Prevalence of Addiction to Social Network Among Students in Iran and its Factors Related: A Study Conducted in 2020.

Autor:	Rahiminia H; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.; Students' Research Committee, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Soori H; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.; Director of Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Jafari M; Department of Clinical Psychology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Khodakarim S; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.; Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Jazyk:	angličtina
Zdroj:	Clinical practice and epidemiology in mental health : CP & EMH [Clin Pract Epidemiol Ment Health] 2021 Nov 19; Vol. 17, pp. 170-176. Date of Electronic Publication: 2021 Nov 19 (Print Publication: 2021).
DOI:	10.2174/1745017902117010170
Abstrakt:	Background: In the present era, the prevalence of addiction to social networks has shown that many users, including students, are detaching from the real world. Therefore, this study aims to estimate the prevalence of addiction to the social networks among students in Iran and its related factors. Methods: This is a cross-sectional study conducted in 2020 on 1000 students in Shahid Beheshti University of Medical Sciences, Tehran, Iran. The data collection tool was a standardized questionnaire about addiction to the social networks distributed online among students. Statistical data were analyzed using Stata software version 14. Results: Generally, 462 students (44%) had addiction to social networks, of which 449 (90.04%) had slight addiction and 13 (9.96%) had severe addiction. The results showed that age (p = 0.001), type of disciplines in the treatment-related subgroup (p = 0.03) and using nerve medicine (p = 0.0001) had significant relationships with addiction to social networks. Conclusion: Considering that a high number of students in the present study are at high risk of addiction, it is suggested that educational programs should be implemented to improve the knowledge of parents and students for optimal use of social networks and raise awareness of the harmful consequences of addiction. (© 2021 Rahiminia et al.)
Databáze:	MEDLINE
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