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

1. INTRODUCTION

Nowadays, different societies in the world, following the expansion of human relation and communication, have experienced the use of different modern mass communications like social networks. The virtual world has put the social and cultural life of communities under the influence of its positive or negative outcomes so that it sometimes helps strengthen and facilitate relationships and sometimes leads to unethical relationships, especially in adolescents [1, 2]. At present and especially during the COVID-19 pandemic, social networks have an important role in the students’ lives; therefore, students’ use of social networks should be screened to prohibit the addiction to the social networks in this age group [3].

Social networks such as Facebook, Twitter, WhatsApp, Telegram and Instagram, as the most important examples of online services, have become a place for the presence and familiarity of different segments of the society, especially the youth [4]. Addiction is defined as abnormal interaction that some people find with regard to some behaviors. While a person experiences a pleasant feeling as a consequence of addiction, the intensity of the individual’s dependence increases. In fact, it reinforces the behavioral pattern of addiction [5]. The addiction to social networks is motivated by the allocation of time and effort to use too much of these networks that disrupt other social activities, studies, jobs, interpersonal communication, psychological health, and well-being [4].

Young (1998) mentioned that having four symptoms such as having a feeling of preoccupation with the Internet, feeling a need to increase the time of use to satisfy the self, not being able to control its use, feeling agitated and restless while the Internet stops, using it to ease the emotion and find a way to escape from problems, and lying to others in order to hide the amount of its use are all necessary to be addicted to the social networks [6].

The number of Internet users in Iran (35.7%) is more than other countries in the Middle East, including Iraq (11.4%), Saudi Arabia (18.2%), United Arab Emirates (5.4%), and Jordan (5%). According to the results of this study, the number of Internet users in Iran has been increased from 3.8% to 68.5% between the years 2000 and 2016 [7, 8]. The prevalence of Internet addiction in students has been reported differently on the basis of studies. The addiction to Internet was 5.2% in students of Mashhad University of Medical Sciences in 2014. It was reported 33.8% for male students and 20% for female students at Zahedan University of Medical Sciences in 2016 and in Qum University of Medical Sciences, it was reported 28.7% in 2016 [9-11].

Along with all the advantages and disadvantages of social networks, addiction to these networks and the uncontrollable tendency of young people and adolescents to these networks without any cultural infrastructure can lead to disorders in all trends of life and their personalities and attitudes. Also, the prevalence of addiction to social networks has shown that many users, including students, allocate all their lives to these networks and thus fail to be involved in social activities and follow real life. Therefore, the present study aimed to investigate the prevalence of addiction to social networks among students in Iran and its related factors.

2. METHODS

3. RESULTS

The mean (standard deviation) of students’ age was 22.81 (4.66) years. Table 2 indicates that 658 (65.8%) were female, 895(89.5%) were single, 671 (67.1%) were BSc students and 118 (11.8%) were smokers (cigarette, hookahs or opioids).

Furthermore, of the 23 (2.3%) students who took antipsychotics, 47.83%, 30.43%, 13.04%, 4.35% and 4.35% reported that they had taken benzodiazepine (Clonazepam, Chlordiazepoxide, Alprazolam), selective serotonin reuptake inhibitor (SSRI: Fluoxetine, Asentra (Sertraline), Citalopram), tricyclic ani depressant (TCA: Clomipramine, Nortriptyline), serotonin norepinephrine reuptake inhibitor (SNRI: Duloxetine), and sleeping pills (Zolpidem), respectively.

Table 3 shows the distribution of students’ answers to the questions of the addiction to the social networks questionnaire. After recoding the students’ total score of the questionnaire, it was revealed that 462 students (44%) were addicted to the social networks of which 449 (90.04%) had slight addiction and 13 (9.96%) had severe addiction. Fig. (1) shows the prevalence of addiction to social networks in society.

Table 2 shows the association between the addiction to the social networks and demographic variables using simple and multiple weighted ordinal logistic regression method. To provide a brief explanation, the intercepts have not been reported. Our results show there is a significant statistical association between age and addiction to the social network (sig = 0.001). One-year increase in age would increase 8% of the chance of being in the group with higher level of addiction. There is a significant statistical association between the type of disciplines and the addiction to the social networks (sig = 0.03), and the chance of being in the group by which the higher level of the addiction in the treatment-related group is 49% more than the other disciplines group. Also, there is a significant statistical association between using nerve medicine and the addiction to the social network (sig=0.0001) and the chance of being in the group by which the higher level of the addiction by using these drugs was 46% more than the others.

There are no significant relationships between the addiction to the social networks and gender (sig = 0.47), marital status (sig = 0.06), level of education (sig >0.05) and smoking (sig=0.18).

4. DISCUSSION

According to this study, the overall prevalence of addiction to social networks was 462 (44%), and 538 (55%) were normal users.

In the Iranian population of the age group of 20 and older, the prevalence of social network addiction was 58% based on the study of Yarahmadi et al. (2020) by Young questionnaire [14]. Modara et al. (2017), in the meta-analysis study, have reported that the social networks addiction prevalence in Iran was 20% [15].

The reported prevalence of social networks or Internet addiction is different in Asian countries. In Iraq, the Internet addiction prevalence was 68% among the medical students at Baghdad University in 2019 detrmined by a study using Young questionnaire [16]. In India, the prevalence of Internet addiction was 3.7% in 2017, determined by a study using Young questionnaire [17]. A previous meta-analysis in Spain reported that the most frequently used scale was the IAT (Young Internet Addiction Test), and the prevalence of Internet addiction in teenagers ranged from 1.6% to 20.6% [18]. Singapore (2017), the rate of social networks addiction among the students by a researcher-made questionnaire was 29.5% [19]. The prevalence of the Internet addiction by Young questionnaire in Hong Kong 2012, Finland 2004 and Taiwan 2000 were 26.7%, 2.0% and 5.9%, respectively [20-22].

In addition, there is a large variation of the reported prevalence of social networks or Internet addiction in the other parts of the world. The Internet addiction prevalence (using Young questionnaire) in England 2013, Norway 2009, Italy 2006 and Australia 2001 was 3.2%, 1.0%, 5.4% and 4.0%, respectively [23-26].

As a consequence, conducting research on social networks addiction in students is necessary in different societies with different cultures and in the different times. It should be considered that the students are more at risk of severe addiction, especially during coronavirus pandemic because of spending more time on the internet and it can influence other aspects of their life.

Although the time of the data collection of this study was simultaneous with the starting of COVID-19 pandemic (23rd Aug, 2020 - 29th Oct, 2020), our study was not aimed at investigating the effects of this pandemic on the social network addiction (which could be performed if we had access to the data before the starting of this pandemic). As we emphasized, it was necessary to explain to the students that the questions regarding the time of using social networks are not applicable for any business activities they may have on social media. In addition, they were told not to consider the time they had to use the Internet due to coronavirus limitations like online classes and online shopping.

According to the results of this study, there was a significant relationship between the age of students and addiction to social networks. The results of this study indicated that the rate of addiction in younger age groups is more than other age groups, which can be due to the characteristics of the youth and adolescents and their greater use is due to different reasons in this period [17, 24, 27, 28].

The results of our study could not illustrate a significant relationship between the gender of students and the addiction to the social networks, which were consistent with the results of studies by Yarahmadi et al. [14], Fortson et al. [29], Kawabe et al. [30] but contradicted with studies by Ko et al. [31], Zboralski et al. [32], and Gorgich et al. [33].

There was a significant relationship between the addiction to the social networks and the type of disciplines. In this context, the results were consistent with Ahmadi et al. [34], Jafari et al. [35], and Hashemian et al. [36] but contradicted with other studies such as the study of Ozturk et al. [37]; this difference might be due to the multi-aspect use of the Internet and its different applications and objectives in all fields and disciplines.

Our results showed that there was no significant relationship between marital status and the addiction to the social networks, which was in accordance with some studies conducted on the students [9, 38]. Also, these results illustrated that there was no significant relationship between the level of education and the social networks, which was in accordance with the study of Imani et al. in 2018 [39].

This study has limitations, including the lack of honesty in filling out the questionnaire due to fear of personal information disclosure and recall bias. It could lead to underestimate the prevalence of the addiction to social networks among the students. Therefore, setting up similar studies in other universities is necessary.

CONCLUSION

The addiction to the social networks among the Iranian young people, as a growing problem, needs to be considered by the experts and it could damage social life, scientific activities and carrier of the students. Therefore, developing and implementing strategies and educational programs for students, parents and university authorities are necessary to promote the proper use of social networks and prevent and reduce these harms.

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