Prevalence and Consequences of Internet Addiction in a Cohort of Tunisian Adolescents: A Pilot Study

Sonia Garsallah Missaoui^*,Takoua Brahim, Wafa Bouriga and Ahmed Ben Abdelaziz

Department of Psychiatric, Abha Psychiatric Hospital, Saudi Arabia

*Corresponding Author:

Sonia Garsallah Missaoui
Department of Psychiatric
Abha Psychiatric Hospital, Saudi Arabia
Tel: 00966548907874
E-mail: missaouisonia@yahoo.fr

Received Date: October 01, 2015 Accepted Date: November 09, 2015 Published Date: Novemeber 16, 2015

Citation: Missaoui SG, Brahim T, Bouriga W, Abdelaziz AB (2015) Prevalence and Consequences of Internet Addiction in a Cohort of Tunisian Adolescents: A Pilot Study. J Child Adolesc Behav 3:257. doi:10.4172/2375-4494.1000257

Copyright: © 2015 Missaoui SG, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Introduction: There are few studies interested in internet addiction in Tunisia, despite the worldwide concern with this problem. The aim of the study is to measure the prevalence of internet addiction among secondary school students in the city of Monastir, Tunisia, and to portray its impact. Methodology: It is a transversal epidemiological study carried on a sample of students attending secondary school in the city of Monastir, Tunisia. It was conducted in the course of the 2010/2011 school year. The participants had filled the Internet Addiction Test of Young and a data file regarding the socio-demographic information, physical and psychological history and information about the internet access and use. The Internet Addiction Test consists of 20 items, rated according to Likert scale. The total score ranges from 20 to 100. It is considered as internet addicts those whose the scores are equal and higher than 70. Results: The sample consisted of 415 males (M) and 567 females (F) with a mean age of 17.10 ± 0.92 years. The prevalence of internet addiction was 11.6% (IC 95%: [9.60-13.61]); M: 12.8% (IC 95%: [9.55-15.99]), F: 10.8% (IC 95%/ [8.20-13.31]). The consequences of cyberaddiction reported by this study were: sleep disorders, neglecting household chores, academic difficulties, social isolation and mood and behavior disturbances (violence, irritability). Conclusion: The prevalence of internet addiction is elevated in Tunisia. Many negative consequences are identified. Urgent measures should be taken to counter the problem.

Keywords

Internet; Addiction; Adolescent; Prevalence; Internet addiction TEST; Epidemiology; Tunisia

Introduction

In few decades, internet has invaded people's lives to become indispensable [1,2]. The use of Internet is continually expanding. In 2014, the internet access rate has reached 40% worldwide, with rates exceeding 80% in several countries including USA, Germany and Japan [3]. It is a fact that the use of internet has many positive effects [4], but with the increase in this use, some researchers start to point the side effects of this phenomenon [5-7]. The first studies conducted in this field were in the 90’s, with the emergence of a new concept which is “internet addiction” or “cyberaddiction” [8-10]. It is defined as the difficulty controlling ones impulses and the inability to disconnect from internet [8]. From the start, this concept was far from getting the unanimity. Despite this controversy, it’s still a fact that internet addiction is a problem that exists all around the world [11-12]. It seems that adolescents are at a higher risk to develop internet addiction than other age range [13-24]. This vulnerability may be due to the relative cognitive immaturity and the physiological and psychological changes [25,26]. It has also been reported, by many researchers, that the excessive use of internet was associated with many social and psychological disorders, from academic problems to mood and behavior disorder, especially among youngsters [22,27-29].

In Tunisia, internet access is increasing especially in the last four years [1] but there is no study exploring internet addiction except for one study that was conducted on a very small sample and with many methodological biasis [30]. So this work had emerged from our concern and also a general concern in the society and government since the Revolution, to improve the well-being and the mental health of the youth in Tunisia. It is in collaboration between the Child and Adolescent Psychiatry Unit in the University Hospital of Monastir, Tunisia and the Medical School Services of the Public Health Ministry. Our aim in this study was to measure the prevalence of internet addiction in secondary school students in the city of Monastir, Tunisia and to portray its impact as a first step for public and government awareness of the problem.

Methodology

It is a transversal epidemiologicalstudy. The participants were students attending secondary school in the city of Monastir, Tunisia. This study was conducted in the course of the 2010/2011 school year, from January 16 to February 20. A convenience sample including all the 1,330 students in the second and third grades of two secondary schools in the city of Monastir. The city had a third secondary school; it is a pioneering high school. This one was eliminated due to the excessive heavy schedule of the students. The secondary school in Tunisia is achieved within 4 years. The students attending the first grade and terminal grade were excluded from the study to avoid the two delicate periods in high school. We had obtained the ethical approval of the Minister of Education, and the authorization of the Principal of each school and the class head teacher. We had explained to the participants the aim of the study. The participation was voluntary, anonymous and after clear consent. The students filled the questionnaire in a self-reporting format. Every student was given 20 min to complete it. This questionnaire contained. The Internet Addiction Test as well as additional questions regarding the sociodemographic information (age, gender, level of studies and the familial status), psychological and physical condition information (history, behavior disorder such as robbery, violence, alcohol and substance use, stress) and access and use of computer and Internet. The Interne Addiction Test was used to determine internet addiction. It was a modified version of that developed by Young [31], to adjust to Tunisian culture. The test was translated to Arabic for the purpose of the study. We had proceeded to a first translation to Arabic and a retranslation to English. After comparison of the two versions, we opted for a final version. It consists of 20 items, scored according to Likert scale ranging from 1 to 5. The total score ranges from 20 to 100. Three groups of Internet users are defined according to Youngsters: Internet Addicts with score higher than 70, possible Internet Addicts when the score is between 40 and 69 and normal internet users when the score is under 39. In this study we have defined two groups: Internet Addicts when the score is higher than 70 and non-Internet Addicts when the score is below 69. The consequences of Internet Addiction were studied by processing results from IAT items number 2, 6, 13, 14, 19 and 20. All the data was analyzed using SPSS-PC (version 19 for Windows; SPSS, Chicago, IL). Descriptive analysis was performed on all variables. The Analysis was performed in the department of information system.

Results

The number of participants was 982 with a response rate of 74%. The background of our sample is depicted in Table 1. The sex ratio was 1.3 with female predominance (female: 57.7%, male: 42.3%). The mean age was 17.06+/- 0.91 year.

Table 1: Summary table of the characteristics of the study population (n= 982).

Table 2 depict characteristic of internet use among our population. The male students used Internet more frequently than the female students with respectively 29.6 ± 25.7 and 21.5 ± 19.09 hours per week. The IAT scores were between 20 and 96 with a mean score of 48.6 ± 16.47. The male students had a higher score (50.3 ± 16.33) than females (46.8 ± 16.66). The prevalence of Internet Addiction in our sample was 11.6% (IC 95%: [9.60-13.61]). The prevalence of internet addiction was higher among boys than girls (12.8% (IC 95%: [9.55-15.99]), and 10.7% (IC 95%/[8.20-13.31]) respectively).

Table 2: characteristics of internet use among high school students (n=982).

Regarding the consequences of Internet Addiction, We found a significant correlation between internet addiction and neglecting house chores (ORb=10.1), sleep disorder (ORb=14.5), academic difficulties (ORb=8.5), mood (ORb=22.3) and behaviors disorder (ORb=8.9) and social isolation (ORb=14.5). The results are detailed in Table 3.

Table 3: Consequences of internet addiction in high students, n=982.

Discussion

Internet Addiction has become a major problem in the world [32], especially among adolescents [33,34]. Beard and Wolf defined IA as “an excessive internet use causing psychological, physical and personal issues” [35]. Many countries have started preventive strategies to face this emerging problem. Although this study is the first one conducted in a large cohort in Tunisia, we are aware of its limitations. First, the use of a convenience sample is a risk of possible sampling bias, but we have included in this sampling the largest high schools from the pointof -views of number of students in the city of Monastir. And we had opted for including in our sample only the student of the second and the third year to limit the two critical years in secondary school in Tunisia which are the first and the terminal one. Second, the internet addiction questionnaire used is not validated in Arabic. The use of the translation and retranslation process aims to minimize the risk of biases. Third, we used the items of the IAT to determine the consequences of cyberaddiction and not specific questionnaires. We had opted for this method to limit the number of questions and the duration of the completion of the questionnaire. By doing this, we had obtained more cooperation from the students and the teachers and less interference with their schedule.

We estimate that this study, despite its limitations, is a good start to reveal an under-estimated major health problem, to awake the awareness of both the healthcareworkers and the general public about it and to start preventive measures.

The prevalence of internet addiction found in this study (11.6%) is among the highest in the world. A Meta-Analysis of 31 Nations across Seven World Regions found a global prevalence of Internet Addiction of 6% [36]. It is extremely difficult to compare our results with the international literature, due to the extreme variability in rates depending in country, cultural background and methodology used in each research [37]. Concerning the latter, there are more than 21 tools used in researches on internet addiction and it is due to the lack of a clear definition and consensus about it [38,39]. In the Arab-Muslim world there are few studies interested in Internet Addiction. The prevalence changes a lot with every study (from 3% [19,20] to 54% [21]). In the most recent published studies, the prevalence of Internet Addiction ranges from 1.8% in an Iranian study to 15.8% in a Taiwanese one [40-46]. The prevalence of Internet Addiction in adolescents, in Europe, is variable from less than 1% [13] to 36.7% [14] depending on the study. In North America, the prevalence varies from 0% [12] to 8.1% [11] in 2004. In Asia, where the Internet Addiction in adolescents is considered a major health problem in countries like China and South Korea [15,16], the prevalence of Internet Addiction is wildly documented and it goes from 0.6% [17] to 37.9% [18] between 2003 and 2007.

Many studies had pointed the negatives consequences of excessive internet use [22,27]. In this study, 79.8% of adolescents with Internet Addiction were neglecting their household chores to have more time on line, compared to only 28% among adolescents without internet addiction. It is one of the highest rates in the world. Kwiatskowska et al. [47] had reported a rate of 42.6% of chore neglect and Ko et al. [48] had reported a rate less than 2%. There was, also, a significant relation between Internet addiction and having academic problems, in this study. The rate was 65.8% of adolescents with Internet Addiction, which is close to that of 50% noted in the study of Young [8] in 1998. Such results were also found in many recent studies [2,49,50]. The academic impact of excessive internet use can be a consequence of the perturbation of the whole life-style and absenteeism [51-54]. It may also be attributed to a chaotic life-style that leads to internet addiction and poor academic results [55,56]. Internet addiction can be, on the contrary, the consequence of bad school results.

Sleeplessness was also highly reported by the group of Internet Addiction in this study, the rate reached 81.6%. A very close rate (81.1%) was found by Kim et al. [57]. In fact, adolescents with cyberaddiction report that they prefer to stay until late at night on line than sleep [2,58].

Unlike the evident relation between sleep disorders and IA, the relation between internet use and social life is more controversial [59]. In this study, social isolation was reported as a consequence of Internet Addiction by 81,6% of internet addict adolescents. Some researchers had shown the same results. In these studies, excessive usage of internet was related to isolation [60], social withdrawal [61,62] and deterioration of family interaction [60]. Adolescents with excessive use of internet had a worsening relation with family and friends [63]. Some authors had underlined the fact that, even if Internet is a way to easily create more relationships than in the real world, these relationships are lacking in “quality”. They qualified them by “weak ties”, on the contrary of “strong ties” developed in the real world [64].

Another consequence of internet addiction reported in this study was the mood and behavior perturbation. The majority of the adolescent internet addicts of our sample become more violent and irritable every time that they were disconnected from Internet. These symptoms disappear when they are connected to internet. It’s a fact reported in many studies [51,65,66]. Many authors had reported that excessive internet use increases assaultive behavior [51,65,66]. Staying without internet access for some days causes irritability and gloomy temper among adolescents with Internet Addiction [65].

The prevalence of internet addiction in this study is among the highest in the world. Its consequences are frequent and have a negative impact on the adolescent functioning. It’s important to identify the risk factors of this problem to establish adequate measures. The preventive program must involve the whole population. It is important to get people aware of the existence of such disorder and its negative consequences. A program to optimize adolescents’ usage of internet can be very helpful, especially as the “screening” of cyberaddiction is easy, thanks to the diagnosis tests such as IAT, used in this study. People with high risk of internet addiction should benefit from a special program that helps them minimize their internet usage, improve their free time management, bind real relationships and discover new interests. Psychological and social help should also be provided to avoid the serious consequences of internet addiction.

References

1. The World Bank.
2. Nalwa K, Anand AP (2003) Internet addiction in students: a cause of concern. CyberpsycholBehav 6: 653-656.
3. World Internet Users and Population Stats.
4. Lajoie J, Guichard E (2002) Odyssée Internet: enjeuxsociaux, PUQ.
5. Wallace P (2001) The psychology of the Internet. Cambridge University Press.
6. Bricolo F, Gentile DA, Smelser RL, Serpelloni G (2007) Use of the computer and Internet among Italian families: first national study. CyberpsycholBehav 10: 789-797.
7. Hur MH (2006) Demographic, habitual, and socioeconomic determinants of Internet addiction disorder: an empirical study of Korean teenagers. CyberpsycholBehav 9: 514-525.
8. Young KS (1998) Internet addiction: The emergence of a new clinical disorder. CyberPsychology& Behavior 1: 237-244.
9. Huang YR (2006) Identity and intimacy crises and their relationship to internet dependence among college students. CyberpsycholBehav 9: 571-576.
10. Shapira NA, Lessig MC, Goldsmith TD, Szabo ST, Lazoritz M, et al. (2003) Problematic internet use: proposed classification and diagnostic criteria. Depress Anxiety 17: 207-216.
11. Morahan-Martin J, Schumacher P (2000) Incidence and correlates of pathological Internet use among college students. Computers in Human Behavior 16:13-29.
12. Ferron B, Duguay C (2004) Utilisationd'Internet par les adolescents et phénomène de cyberdépendance. Revue québécoise de psychologie 25:167-180.
13. Tsitsika A, Critselis E, Kormas G, Filippopoulou A, Tounissidou D, et al. (2009) Internet use and misuse: a multivariate regression analysis of the predictive factors of internet use among Greek adolescents. Eur J Pediatr 168: 655-665.
14. Milani L, Osualdella D, Di Blasio P (2009) Quality of interpersonal relationships and problematic Internet use in adolescence. Quality of interpersonal relationships and problematic Internet use in adolescence CyberpsycholBehav 12: 681-684.
15. Ahn DH (2007) Korean policy on treatment and rehabilitation for adolescents’ Internet addiction. In 2007 International Symposium on the Counseling and Treatment of Youth Internet Addiction.
16. Block JJ (2008) Issues for DSM-V: internet addiction. Am J Psychiatry 165: 306-307.
17. Lam LT, Peng Z, Mai J, Jing J (2009) The association between internet addiction and self-injurious behaviour among adolescents. InjPrev 15: 403-408.
18. Internet addiction in Asia (2008): reality or a myth?.
19. Yong SQ (2011) A study of internet addiction among students of SekolahMenengahJenisKebangsaan Pei Yuan, Kampar (Doctoral dissertation, UTAR).
20. Ghassemzadeh L, Shahraray M, Moradi A (2008) Prevalence of internet addiction and comparison of internet addicts and non-addicts in Iranian high schools. CyberpsycholBehav 11: 731-733.
21. (2007) Relation entre cyberaddiction et les troubles psychiatriques chez les adolescents.
22. Yen JY, Yen CF, Chen CC, Chen SH, Ko CH (2007) Family factors of internet addiction and substance use experience in Taiwanese adolescents. CyberpsycholBehav 10: 323-329.
23. Steinberg L (2005) Cognitive and affective development in adolescence. Trends CognSci 9: 69-74.
24. Grant JE, Potenza MN, Weinstein A, Gorelick DA (2010) Introduction to behavioral addictions. Am J Drug Alcohol Abuse 36: 233-241.
25. Casey BJ, Tottenham N, Liston C, Durston S (2005) Imaging the developing brain: what have we learned about cognitive development?. Trends in cognitive sciences 9: 104-110.
26. Galvan A, Hare TA, Parra CE, Penn J, Voss H, et al. (2006) Earlier development of the accumbens relative to orbitofrontal cortex might underlie risktaking behavior in adolescents. J Neurosci 26: 6885-6892.
27. Lin SS, Tsai CC (2002) Sensation seeking and internet dependence of Taiwanese high school adolescents. Computers in human behavior 18: 411-426.
28. Fioravanti G, Dèttore D, Casale S (2012) Adolescent Internet addiction: testing the association between self-esteem, the perception of Internet attributes, and preference for online social interactions. CyberpsycholBehavSocNetw 15: 318-323.
29. Ko CH, Yen JY, Yen CF, Chen CS, Chen CC (2012) The association between Internet addiction and psychiatric disorder: a review of the literature. Eur Psychiatry 27:1-8.
30. Halwani N, Mnif L, Masmoudi J, Damak R, Baati I et al. (2010) Cyberaddiction and temperament. European Psychiatry 25: 1238.
31. Widyanto L, McMurran M (2004) The psychometric properties of the internet addiction test. CyberpsycholBehav 7: 443-450.
32. Christakis DA, Moreno MA (2009) Trapped in the net: will internet addiction become a 21st-century epidemic? Arch PediatrAdolesc Med 163: 959-960.
33. Ko CH, Yen JY, Chen CC, Chen SH, Yen CF (2005) Proposed diagnostic criteria of Internet addiction for adolescents. J NervMent Dis 193: 728-733.
34. Wang H, Zhou X, Lu C, Wu J, Deng X, et al. (2011) Problematic Internet Use in high school students in Guangdong Province, China. PLoS One 6: e19660.
35. Beard KW, Wolf EM (2001) Modification in the proposed diagnostic criteria for Internet addiction. CyberpsycholBehav 4: 377-383.
36. Cheng C, Li AY (2014) Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions. CyberpsycholBehavSocNetw 17: 755-760.
37. Moreno MA, Jelenchick L, Cox E, Young H, Christakis DA (2011) Problematic internet use among US youth: a systematic review. Arch PediatrAdolesc Med 165: 797-805.
38. Kuss DJ, Griffiths MD, Karila L, Billieux J1 (2014) Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des 20: 4026-4052.
39. Weinstein A, Feder LC, Rosenberg KP, Dannon P (2014) Internet Addiction Disorder: Overview and Controversies. Behr Add pp: 99-117.
40. Ahmadi J, Amiri A, Ghanizadeh A, Khademalhosseini M, Khademalhosseini Z, et al. (2014) Prevalence of Addiction to the Internet, Computer Games, DVD, and Video and Its Relationship to Anxiety and Depression in a Sample of Iranian High School Students. Iran J Psychiatry BehavSci 8: 75-80.
41. Ha YM, Hwang WJ (2014) Gender Differences in Internet Addiction Associated with Psychological Health Indicators Among Adolescents Using a National Web-based Survey. International Journal of Mental Health and Addiction 12: 660-669.
42. Wartberg L, Kriston L, Kammerl R, Petersen KU, Thomasius R (2015) Prevalence of Pathological Internet Use in a Representative German Sample of Adolescents: Results of a Latent Profile Analysis. Psychopathology 48: 25-30.
43. Tang J, Yu Y, Du Y, Ma Y, Zhang D, Wang J (2014) Prevalence of internet addiction and its association with stressful life events and psychological symptoms among adolescent internet users. Addictive behaviors 39: 744-747.
44. Adiele I, Olatokun W (2014) Prevalence and determinants of Internet addiction among adolescents. Computers in Human Behavior 31: 100-110.
45. Nazir S, Hawi (2012) Internet addiction among adolescents in Lebanon. Computers in Human Behavior 28: 1044–1053.
46. Chang FC, Chiu CH, Lee CM, Chen PH, Miao NF (2014) Predictors of the initiation and persistence of internet addiction among adolescents in Taiwan. Addict Behav 39: 1434-1440.
47. Kwiatkowska A, Ziolko E, Krysta K, Muc-Wierzgon M, Brodziak A, et al. (2007) Internet addiction and its social consequences. European Neuropsychopharmacology 17: S559-S560.
48. Ko CH, Yen JY, Chen SH, Yang MJ, Lin HC, et al. (2009) Proposed diagnostic criteria and the screening and diagnosing tool of Internet addiction in college students. Compr Psychiatry 50: 378-384.
49. Chang MK, Law SPM (2008) Factor structure for Young’s Internet Addiction Test: A confirmatory study. Computers in Human Behavior 24: 2597-2619.
50. Tsitsika A, Critselis E, Louizou A, Janikian M, Freskou A, et al. (2011) Determinants of Internet addiction among adolescents: a case-control study. ScientificWorldJournal 11: 866-874.
51. Acier D, Kern L (2011) Problematic Internet use: Perceptions of addiction counsellors. Computers & Education 56: 983-989.
52. Holtz P, Appel M (2011) Internet use and video gaming predict problem behavior in early adolescence. J Adolesc 34: 49-58.
53. Yen JY, Ko CH, Yen CF, Chen SH, Chung WL, et al. (2008) Psychiatric symptoms in adolescents with Internet addiction: Comparison with substance use. Psychiatry ClinNeurosci 62: 9-16.
54. Austin WA, Totaro MW (2011) Gender differences in the effects of Internet usage on high school absenteeism. The Journal of Socio-Economics 40: 192-198.
55. Xiuqin H, Huimin Z, Mengchen L, Jinan W, Ying Z, et al. (2010) Mental health, personality, and parental rearing styles of adolescents with Internet addiction disorder. CyberpsycholBehavSocNetw 13: 401-406.
56. Bener A, Bhugra D (2013) Lifestyle and depressive risk factors associated with problematic internet use in adolescents in an Arabian Gulf culture. J Addict Med 7: 236-242.
57. Kim KS, Kim KH (2010) [A prediction model for internet game addiction in adolescents: using a decision tree analysis]. J Korean AcadNurs 40: 378-388.
58. Anderson KJ (2001) Internet use among college students: an exploratory study. J Am Coll Health 50: 21-26.
59. Binks AP, Banzett RB, Duvivier C (2007) An inexpensive, MRI compatible device to measure tidal volume from chest-wall circumference. PhysiolMeas 28: 149-159.
60. Kraut R, Patterson M, Lundmark V, Kiesler S, Mukopadhyay T, et al. (1998) Internet paradox. A social technology that reduces social involvement and psychological well-being? Am Psychol 53: 1017-1031.
61. Amichai-Hamburger Y, Ben-Artzi E (2003) Loneliness and Internet use. Computers in human behavior 19: 71-80.
62. Parker JD, Taylor RN, Eastabrook JM, Schell SL, Wood LM (2008) Problem gambling in adolescence: Relationships with internet misuse, gaming abuse and emotional intelligence. Personality and Individual Differences 45: 174-180.
63. Sanders CE, Field TM, Diego M, Kaplan M (2000) The relationship of Internet use to depression and social isolation among adolescents. Adolescence 35: 237-242.
64. Adelman MB, Parks MR (1987) Albrecht, TL. Beyond close relationships:Support in weak ties. Communicating social support pp: 40-63.
65. Ko CH, Yen JY, Liu SC, Huang CF, Yen CF (2009) The associations between aggressive behaviors and internet addiction and online activities in adolescents. J Adolesc Health 44: 598-605.
66. Anderson CA, Bushman BJ (2002) Human aggression. Psychology 53: 27.

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