- Research article
- Open Access
Risk factors and psychosocial characteristics of potential problematic and problematic internet use among adolescents: A cross-sectional study
BMC Public Health volume 11, Article number: 595 (2011)
Problematic internet use (PIU) is associated with a plethora of psychosocial adversities. The study objectives were to assess the determinants and psychosocial implications associated with potential PIU and PIU among adolescents.
A cross-sectional study design was applied among a random sample (n = 866) of Greek adolescents (mean age: 14.7 years). Self-completed questionnaires, including internet use characteristics, Young Internet Addiction Test, and Strengths and Difficulties Questionnaire, were utilized to examine the study objectives.
Among the study population, the prevalence rates of potential PIU and PIU were 19.4% and 1.5%, respectively. Multinomial logistic regression indicated that male gender (Odds Ratio, OR: 2.01; 95% Confidence Interval, 95% CI: 1.35-3.00), as well as utilizing the internet for retrieving sexual information (OR: 2.52; 95% CI: 1.53-4.12), interactive game playing (OR: 1.85; 95% CI: 1.21-2.82), and socialization, including chat-room use (OR: 1.97; 95% CI: 1.36-2.86) and email (OR: 1.53; 95% CI: 1.05-2.24), were independently associated with potential PIU and PIU. Adolescents with potential PIU had an increased likelihood of concomitantly presenting with hyperactivity (OR: 4.39; 95% CI: 2.03-9.52) and conduct (OR: 2.56; 95% CI: 1.46-4.50) problems. Moreover, adolescent PIU was significantly associated with hyperactivity (OR: 9.96; 95% CI: 1.76-56.20) and conduct (OR: 8.39; 95% CI: 2.04-34.56) problems, as well as comprehensive psychosocial maladjustment (OR: 8.08; 95% CI: 1.44-45.34).
The determinants of potential PIU and PIU include accessing the internet for the purposes of retrieving sexual information, game playing, and socialization. Furthermore, both potential PIU and PIU are adversely associated with notable behavioral and social maladjustment among adolescents.
Particularly among adolescents, the internet is observed to be increasingly adopted as a readily accessible means for information retrieval, entertainment, and socialization [1, 2]. Excessive internet use may instigate potential adverse effects upon the psychosocial development of adolescents . While both the adoption of excessive internet use, as well as related adverse psychosocial effects may be attributed to the compromised psychosocial wellbeing prior to the initiation of internet use , the likelihood of developing problematic patterns of behavior during adolescence is eminent [5, 6]. Consequently, as adolescents allocate ever-increasing time periods for internet use, the risk for developing maladaptive internet use (MIU), including potential problematic internet use (PIU) and PIU, is inherent.
While PIU has received increasing research attention , a consistent definition of this construct has not been currently applied . PIU has been proposed as a novel entity of dysfunctional behavioral patterns similar to those identified within the spectrum of impulse control disorders . The proposed criteria for PIU initially included: (1) an uncontrollable use of the internet, (2) internet use which is markedly distressing, time consuming or resulting in social, occupational or financial difficulties; and (3) internet use not solely present during hypomanic or manic clinical episodes . Hence, PIU is conceptualized as an individual's inability to control his/her use of the internet, thus causing marked distress and/or functional impairment [11, 12]. Potential PIU is defined as internet use which fulfils some, but not all, of the above criteria [9, 12, 13].
Worldwide, the prevalence of PIU among adolescents and young adults has been observed to range between 0.9%  and 38% . In particular, among European adolescents, the prevalence of PIU has been observed to range between 2% and 5.4% [6, 16–18]. In Greece, the prevalence of PIU is observed to range between 1.0%  and 8.2%  among adolescents residing in rural and urban areas, respectively. Hence, PIU is markedly elevated among Greek adolescents as compared to their counterparts in other European countries.
Both excessive and PIU have been associated with a plethora of adverse psychosocial and mental health conditions. Specifically, the adoption of excessive internet use has been associated with social isolation  and related adversities . Moreover, PIU has been associated with hostile behavioral patterns , impaired social skills , attention deficit hyperactivity disorder , and depression and/or suicidal ideation [25–27]. However, to date, evidence does not exist regarding the differential determinants and psychosocial implications of potential PIU and PIU among adolescents.
The primary objective of the present investigation is to evaluate the determinants of PIU and potential PIU among adolescents. The secondary objective is to evaluate the psychosocial characteristics and implications associated with PIU among the study population.
Study design and study population
A cross-sectional design was applied for the purposes of the study. All data were collected during two consecutive academic semesters (01/01/2007 - 01/01/2008). The study was approved by the Ethical Committees of both the "P. & A. Kyriakou" Children's Hospital in Athens, Greece, and the Hellenic Ministry of Education and Religious Affairs. Informed consent for study participation was required from the legal guardians of all eligible participants prior to the initiation of the study.
The source population for the present study consisted of a random cluster sample of 20 public junior high and high schools, stratified according to their locality and surrounding population density, in Athens, Greece. All students enrolled in Grades 9 and 10 of the selected schools were invited to participate in the study (n = 937). No exclusion criteria, including demographic and/or socioeconomic characteristics, for study participation were applied. The source population of the study consisted of 438 (46.7%) boys and 499 (53.3%) girls (overall mean age: 14.7 years). Seventy-one (7.6%) of the source population did not complete all components of the Young Internet Addiction Test and were thus excluded from all further statistical analyses. Hence, the response rate was 92.4% (N = 866).
Self-completed questionnaires were distributed to all study participants on-site at their respective schools. Study participants were requested to complete the questionnaire anonymously in order to minimize any potential reporting bias. The questionnaire consisted of 5 components: (1) demographic information; (2) history and average weekly hours of internet use; (3) location of internet access and scope of internet sites accessed; (4) the Young Internet Addiction Test; and (5) the Strengths and Difficulties Questionnaire.
Potential PIU and PIU were assessed through the application of the Young Internet Addiction Test (YIAT), as validated in the scientific literature [12, 28–31]. The YIAT consists of 20 calibrated items for the evaluation of the degree of preoccupation, compulsive use, behavioral problems, emotional changes, and diminished functionality associated with internet use. Normal internet use, potential PIU, and PIU were defined according to the YIAT. Maladaptive internet use (MIU) was defined among those participants with either potential PIU or PIU .
In order to assess the history of internet use, the following cut-off values were applied: (1) novel users: 0-6 months; (2) recent users: 6-12 months; and (3) experienced users: > 12 months. The primary location of internet access assessed included internet access via (1) one's own home portal; (2) a friend's home portal; and, (3) internet café portal. The scope of internet sites accessed included: (1) e-mail correspondence; (2) access to the mass media (i.e. newspapers, journals, and periodicals); (3) chat-room use; (4) interactive game playing; (5) retrieval of information pertaining to work and education; and (6) retrieval of sexual education and information.
The Strengths and Difficulties (SDQ) Questionnaire was utilized to assess participants' emotional and psychosocial characteristics. The SDQ has served as a validated screening tool for evaluating the emotional and psychosocial difficulties of adolescents [32, 33]. The five components of the SDQ and their respective scores are: (1) Emotional Symptoms Score (Normal: 0-5; Borderline: 6; Abnormal: 7-10); (2) Conduct Problems Score (Normal: 0-3; Borderline: 4; Abnormal: 5-10); (3) Hyperactivity Scale (Normal: 0-5; Borderline: 6; Abnormal: 7-10); (4) Peer Problems Scale (Normal: 0-3; Borderline: 4-5; Abnormal: 6-10); and (5) Prosocial Scale (Normal: 6-10; Borderline: 5; Abnormal: 0-4). With the exclusion of the Prosocial Scale, the sum of the remaining SDQ component scores was derived to generate the Total Difficulties Score (Normal: 0-15; Borderline: 16-19; Abnormal: 20-40).
Student's t-test for independent samples was applied to compare the mean values of continuous variables and the chi-squared test was used to compare the differences in proportions of categorical variables between groups, respectively. Fisher's Exact Test was applied instead when at least one comparison group consisted of ≤ 5 adolescents. Age and gender adjusted odds ratios (AOR) and 95% Confidence Intervals (95% CI) were calculated to assess the likelihood of the characteristics of internet use, as well as SDQ component and total scores, between the study groups. Stepwise multinomial logistic regression analyses were applied in order to evaluate the determinants of potential PIU and PIU, as compared to normal internet use. The independent variables included in the multivariate regression models included the locations of internet access and scope of internet sites utilized. A p-value (p) of ≤ 0.05 was the criterion for significance. Statistical analyses were conducted with the application of the SAS version 9.0 (SAS Institute Inc., USA) software package.
Overall maladaptive internet use (MIU)
Among the study population (n = 866), the prevalence rate of maladaptive internet use (MIU) was 20.9% (n = 181). The mean age (± standard deviation, SD) of adolescents with MIU did not significantly differ from that of their normal internet user counterparts (14.8 ± 0.6 years vs. 14.8 ± 0.6 years, p = 0.838). However, adolescents with MIU were 2.91 (95% Confidence Interval, 95% CI: 2.07-4.13) times more likely to be male as compared to normal internet users. Moreover, the proportion of adolescents with MIU reporting poor academic performance was greater than that among normal internet users (Table 1).
With respect to the locations of internet access, adolescents with MIU were significantly more likely to access the internet via internet café portals and their own home portal as compared to normal internet users as shown in Table 2. Moreover, with regard to the scope of internet sites accessed, adolescents with MIU were approximately twice as likely to access the internet for the purposes of chat-room use and interactive game-playing. Adolescents with MIU were also 2.70 (95% CI: 1.66-4.38) times more likely to access the internet for the purposes of sexual information as compared to their normal internet user counterparts. Finally, adolescents with MIU were significantly less likely to access the internet for the purposes of education.
The comparison of the emotional and psychosocial characteristics between adolescents with MIU and normal internet use are shown in Table 3. Adolescents with MIU were in excess of two times more likely to have an Abnormal Conduct Problems score and of four times more likely to have an Abnormal Hyperactivity Score, respectively. Hence, MIU was associated with both notable behavioral maladjustment and hyperactivity problems among adolescents. Furthermore, adolescents with MIU were approximately three times more likely to report an Abnormal Total SDQ score as compared to normal internet users. Therefore, MIU was associated with comprehensive emotional and psychosocial maladjustment among adolescents.
Potential problematic internet use (PIU)
Among the study population the prevalence of rate of potential PIU (mean YIAT score ± standard deviation, SD: 48.9 ± 7.2) was 19.4% (n = 168). Adolescents with potential PIU were 2.77 (95% CI: 1.92-3.85) times more likely to be male. While adolescents with potential PIU did not differ from their normal internet user counterparts with respect to age, they were more than twice as likely to be either recent (Odds ratio, OR: 2.56; 95% CI: 1.40-4.65) or experienced (OR: 2.78; 95% CI: 1.80-4.28) internet users. In addition, poor academic performance was reported more frequently among adolescents with potential PIU as compared to their normal internet user peers (Table 1).
Adolescents with potential PIU were significantly more likely to utilize their own home portal and internet café portals as compared to their normal internet user counterparts (Table 2). Furthermore, with regard to the scope of internet sites accessed, the likelihood of utilizing the internet for the purposes of retrieving sexual information and/or content was 2.43 times greater among adolescents with potential PIU (Table 2). In addition, adolescents with potential PIU were approximately twice as likely to utilize the internet for the purposes of socialization and communication, such as chat-rooms and email. Moreover, the likelihood utilizing the internet for game-playing was 1.86 times greater among this population group as compared to normal internet users. It is noteworthy, though, that among the adolescent population evaluated potential PIU was inversely associated with utilizing the internet for educational purposes.
Potential PIU among adolescents was associated with an increased likelihood of Abnormal Hyperactivity and Conduct Problems scores as compared to their normal internet user counterparts (Table 3). Even so, adolescents with potential PIU were not observed to differ with respect to their emotional and social spheres from their normal internet user counterparts. However, adolescents with potential PIU were in excess of two times more likely to have comprehensive psychosocial maladjustment as compared to their normal internet user peers.
Problematic internet use (PIU)
The prevalence rate of PIU (mean YIAT score ± SD: 79.3 ± 7.5) among the study population was 1.5% (n = 13). Adolescents with PIU were in excess of seven times more likely than their normal internet user counterparts to be male. In addition, adolescents with PIU were more than eight times more likely to report > 12 months of internet use (Table 1).
Adolescents with PIU more frequently utilized internet café portals as compared to their normal internet user counterparts (p = 0.018). Moreover, adolescent PIU was significantly associated with accessing the internet for the purposes of retrieving sexual information and/or sexual content and chat room use (Table 2). It is noteworthy that while the majority of adolescents with PIU utilized the medium for the purposes of interactive game-playing, such use did not significantly differ from that of their normal internet user counterparts (Table 2).
Adolescents with PIU were observed to have an enhanced likelihood for concomitantly presenting with hyperactivity and conduct problems scores (Table 3). Specifically, according to the SDQ component scores, the odds of abnormal hyperactivity and conduct problems scores were approximately ten and eight times greater, respectively, among adolescents with PIU as compared to normal internet users. Moreover, adolescent PIU was not significantly associated with emotional and social maladjustment. However, adolescents with PIU were approximately eight times more likely to have comprehensive psychosocial maladjustment, as indicated by the total SDQ score.
Determinants of potential PIU and PIU
The multinomial logistic regression analysis (Table 4) indicated that male gender, utilizing the internet for retrieving sexual information, interactive game playing, and socialization, including chat-room use and email, were independently associated with potential PIU and PIU.
The present study is the first of its kind to assess the internet use characteristics associated with both potential PIU and PIU among adolescents. Moreover, it is also the first of its kind to evaluate both the solitary and differential psychosocial implications associated with PIU among adolescents according to the degree of maladaptive behavioral patterns adopted.
The study findings indicated that the prevalence rate of PIU among adolescents was 1.5%. The observed prevalence rate is within the lower range of those reported both in Greek rural areas and in other European countries [6, 16, 18, 20, 34] and may be attributed to the limited penetration of computer/internet access among urban Greek youth . However, marked international variances regarding the prevalence rates of PIU may also be attributed to a measurement bias incurred by a lack of international consistency regarding both the definition and assessment of PIU . Furthermore, among the study population examined approximately one fifth (19.4%) of adolescents were identified with potential PIU. It is upheld that such internet users are at an enhanced risk for developing PIU.
The majority of adolescents with either potential PIU or PIU were male. Similar gender differences regarding the frequency and nature of internet use have been previously reported . The gender differences observed may be attributed to the potential confounding effect of the differential frequency of internet utilization between genders. Specifically, since adolescent boys utilize the internet both more frequently and extensively than adolescent girls , the average weekly hours of internet utilization may serve as a potential confounder for the development of PIU, particularly among adolescent males.
The study findings indicated that potential PIU and PIU were independently associated with utilizing the internet for the purposes of retrieving sexual information, socialization, and entertainment, including interactive game-playing. Moreover, it is noteworthy that potential PIU was inversely associated with utilizing the internet for educational purposes. Previous reports indicate that more than one quarter of frequent internet users utilize the internet for accessing sexual information and education [19, 37, 38]. Both frequent internet use and accessing the internet for the purposes of sexual education have been found to be significant predictors of pornographic internet site use [39, 40] and consequent PIU . Hence, it is proposed that PIU may develop and/or manifest secondary to the specific content of internet sites accessed, rather than to the internet per se.
With regard to the psychosocial implications of PIU, including potential PIU and PIU, the study findings indicated that such behaviors are associated with an enhanced likelihood of hyperactivity and conduct problems. It is important to note, though, that while the likelihood of conduct problems was more than three times greater among adolescents with PIU as compared to those with potential PIU, the odds of hyperactivity problems was approximately two times greater, respectively. To date, similar findings regarding the likelihood of hyperactivity and conduct problems among adolescent with potential PIU have not been reported.
The evidence provided regarding the concomitant occurrence of conduct problems and PIU corroborates with related findings in the literature indicating that adolescents with PIU tend to be lonelier  and adopt more aggressive behaviors . Moreover, previous findings have indicated that conduct problems among youth with PIU may be proximally associated with increased social isolation and impaired communication skills . However, the present study findings indicated that adolescents with either potential PIU or PIU did not present with deterred peer relations and/or social skills. It is posited that adolescents may counteract their possible real world social isolation with increased use of cyber communication and socialization platforms, thus retaining social networks through the internet medium.
The present study indicated that neither potential PIU nor PIU among adolescents were significantly associated with emotional maladjustment. These findings contrast those established in the literature indicating that emotional symptoms, such as depressive and anxiety symptoms, have been associated with PIU [9, 44–47]. It is posited that the emotional adjustment among adolescents with either potential PIU or PIU may be secondary to a potential population bias introduced by the study sampling applied. Specifically, due to the fact that the study population was recruited from students attending public junior high and high schools, those adolescents with severely impaired functionality, including both severely deterred academic performance to the extent of exclusion and/or expulsion from academic attendance and activities, may have not been included in the study population.
Furthermore, the present study indicated that adolescents with potential PIU or PIU were more than two and eight times, respectively, as likely to have global emotional and psychosocial maladjustment, as assessed by the total SDQ score. A correlation between PIU and compromised psychological well-being has been previously documented [42, 48]. However, differential psychosocial impacts according to the degree of PIU have not been reported. Thus, the present study provides evidence that while adolescents with PIU exhibit marked behavioral and psychosocial maladjustment, adolescents with potential PIU also have a limited, albeit notable, increased risk for manifesting comprehensive emotional and psychosocial impairments.
Therefore, the study findings indicate that both potential PIU and PIU are associated with notable emotional and psychosocial maladjustment among adolescents. It is upheld that such internet behaviors may constitute an escape mechanism for adolescents to temporarily relieve and/or escape from emotional and behavioral difficulties . Therefore, adolescents may use the internet excessively in order to cope with emotional turmoil. Concurrently, PIU has been observed to lead to unsuccessful life-coping mechanisms . It is posited that poorly adjusted adolescents, may suffer more harmful effects following PIU, thus creating a vicious gyration centered upon internet usage and psychosocial maladjustment. Consequently, PIU may compound pre-existing psychosocial symptomatology present among adolescents.
The strengths of the present study include that it is the first of its kind conducted in order to assess both the determinants and psychosocial effects of potential PIU and PIU among adolescents in Greece. Due to the random sampling applied for the selection of the study population, it is upheld that the potential introduction of a selection bias was deterred. The limitations of the study include its inability to decipher the etiological association between PIU and the psychosocial characteristics of adolescents due to the cross-sectional study design applied. In addition, psychiatric conditions and other risk factors could not be assessed in relation to the occurrence and development of maladaptive internet use. Finally, since adolescents belonging to the same class and/or school may potentially utilize internet applications with each other, a clustering effect upon the association between the use of cyber social networking, as well as gaming, in relation to maladaptive internet use may have been introduced. Since a stratified cluster sample was used for the present investigation, both the standard errors and confidence intervals reported may be an underestimation of their true magnitude. Further prospective investigations are necessary in order to assess both such clustering effects and whether the psychosocial characteristics observed among adolescents with potential PIU may constitute potential risk factors for the consequent development of PIU.
Among adolescents the prevalence rates of potential PIU and PIU were observed to be 19.4% and 1.5%, respectively. Multinomial logistic regression indicated that potential PIU and PIU were significantly associated with male gender, as well as utilizing the internet for retrieving sexual information, interactive game playing, and socialization, including chat-room use and email. Adolescents with potential PIU had an increased likelihood of concomitantly presenting with hyperactivity and conduct problems. Moreover, adolescent PIU was significantly associated with hyperactivity and conduct problems, as well as comprehensive psychosocial maladjustment. Therefore, the determinants of potential PIU and PIU include accessing the internet for the purposes of retrieving sexual information, game playing, and socialization. Furthermore, both potential PIU and PIU adversely associated with notable behavioral and social maladjustment among adolescents.
Madell D, Muncer S: Back from the beach but hanging on the telephone? English adolescents' attitudes and experiences of mobile phones and the internet. Cyberpsychol Behav. 2004, 7 (3): 359-367. 10.1089/1094931041291321.
Suss D: [Impacts of computer- and media usage on the personality development of children and young people]. Ther Umsch. 2007, 64 (2): 103-118. 10.1024/0040-59188.8.131.52.
Tahiroglou AT, Celik GG, Uzel M, Ozcan N, Avci A: Internet use among Turkish adolescents. Cyberpsychol Behav. 2008, 11 (5): 537-543. 10.1089/cpb.2007.0165.
Caplan S: Relations among loneliness, social anxiety, and problematic internet use. Cyberpsychol Behav. 2007, 10 (2): 234-242. 10.1089/cpb.2006.9963.
Leung L: Stressful life events, motives for internet use, and social support among digital kids. Cyberpsychol Behav. 2007, 10 (2): 204-214. 10.1089/cpb.2006.9967.
Pallanti S, Bernardi S, Quercioli L: The Shorter PROMIS questionnaire and the internet addiction scale in the assessment of multiple addictions in a high-school population: prevalence and related disability. CNS Spectr. 2006, 11 (12): 966-974.
Block JJ: Issues for DSM-V: Internet addiction. Am J Psych. 2008, 165 (3): 306-307. 10.1176/appi.ajp.2007.07101556.
Byun S, Ruffini C, Mills JE, Douglas AC, Niang M, Stepchenkova S, Lee SK, Loutfi J, Lee JK, Atallah M, Blanton M: Internet addiction: metasynthesis of 1996-2006 quantitative research. Cyberpsychol Behav. 2009, 12 (2): 203-207. 10.1089/cpb.2008.0102.
Young KS: Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav. 1998, 1: 237-244. 10.1089/cpb.1998.1.237.
Shapira N, Goldsmith T, Keck P, Khosla UM, McElroy SL: Psychiatric features of individuals with problematic internet use. J Affect Disord. 2000, 57 (1): 267-272. 10.1016/S0165-0327(99)00107-X.
Taintor Z: Telemedicine, telepsychiatry, and online therapy. Kaplan and Sadock's comprehensive textbook of psychiatry. Edited by: Sadock BJ, Sadock VA. 2004, Philadelphia, PA: Lippincott Williams & Wilkins Publishers, 955-963. 8
Young KS, Rogers RC: The relationship between depression and internet addiction. Cyberpsychol Behav. 1998, 1 (1): 25-28. 10.1089/cpb.1998.1.25.
Young KS: Internet addiction: symptoms, evaluation and treatment. Innovations in clinical practice: A source book. Edited by: VandeCreek L, Jackson T. 1999, Sarasota, FL: Professional Resource, 17: 19-31.
Yoo H, Cho S, Ha J, Yune SK, Kim SJ, Hwang J, Chung A, Sung YH, Lyoo IK: Attention deficit hyperactivity symptoms and internet addiction. Psychiatry Clin Neurosci. 2004, 58 (5): 487-494. 10.1111/j.1440-1819.2004.01290.x.
Leung L: Net-generation attributes and seductive properties of the internet as predictors of online activities and internet addiction. Cyberpsychol Behav. 2004, 7: 333-348. 10.1089/1094931041291303.
Johansson A, Götestam K: Internet addiction: characteristics of a questionnaire and prevalence in Norwegian youth (12-18 years). Scand J Psychol. 2004, 45 (3): 223-229. 10.1111/j.1467-9450.2004.00398.x.
Kaltiala-Heino R, Lintonen T, Rimpelä A: Internet addiction? Potentially problematic use of the internet in a population of 12-18 year-old adolescents. Addict Res Theory. 2004, 12 (1): 89-96. 10.1080/1606635031000098796.
Niemz K, Griffiths M, Banyard P: Prevalence of pathological internet use among university students and correlations with self-esteem, the general health questionnaire (GHQ), and disinhibition. Cyberpsychol Behav. 2005, 8 (6): 562-570. 10.1089/cpb.2005.8.562.
Tsitsika A, Critselis E, Kormas G, Filippopoulou A, Tounissidou D, Freskou A, Spiliopoulou T, Louizou A, Konstantoulaki E, Kafetzis D: Internet use and misuse: a multivariate regression analysis of the predictive factors of internet use among Greek adolescents. Eur J Pediatr. 2009, 168 (6): 655-665. 10.1007/s00431-008-0811-1.
Siomos KE, Dafouli ED, Braimiotis DA, Mouzas OD, Angelopoloulos NV: Internet addiction among Greek adolescent students. Cyberpsychol Behav. 2008, 11 (6): 653-657. 10.1089/cpb.2008.0088.
Weiser EB: The functions of internet use and their social and psychological consequences. Cyberpsychol Behav. 2004, 4 (6): 723-743.
Jackson L, Fitzgerald H, Zhao Y, Kolenic A, von Eye A, Harold R: Information Technology (IT) use and children's psychological well-being. Cyberpsychol Behav. 2008, 11 (6): 755-757. 10.1089/cpb.2008.0035.
Yen JY, Ko CH, Yen CF, Chen SH, Chung WL, Chen CC: Psychiatric symptoms in adolescents with internet addiction: comparison with substance use. Psychiatry Clin Neurosci. 2008, 62 (1): 9-16. 10.1111/j.1440-1819.2007.01770.x.
Ghassemzadeh L, Shahraray M, Moradi A: Prevalence of internet addiction and comparison of Internet addicts and non-addicts in Iranian high schools. Cyberpsychol Behav. 2008, 11 (6): 731-733. 10.1089/cpb.2007.0243.
Kim K, Ryu E, Chon MY, Yeun EJ, Choi SY, Seo JS, Nam BW: Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: a questionnaire survey. Int J Nurs Stud. 2005, 185-192. 43
Kraut R, Patterson M, Lundmark V, Kiesler S, Mukopadhyay T, Scherlis W: Internet paradox. A social technology that reduces social involvement and psychological well-being?. Am Psychol. 2008, 53 (9): 1017-1031.
Sanders CE, Field TM, Diego M: The relationship of internet use to depression and social isolation among adolescents. Adolescence. 2000, 35 (138): 237-242.
Widyanto L, McMurran M: The psychometric properties of the internet addiction test. Cyberpsychol Behav. 2004, 7 (4): 443-450. 10.1089/cpb.2004.7.443.
Khazaal Y, Billeux J, Thorens G, Khan R, Louati Y, Scarlatti E, et al: French validation of the Internet Addiction Test. Cyberpyschol & Behav. 2008, 11: 703-706. 10.1089/cpb.2007.0249.
Ferraro G, Caci B, D'Amico A, Di Blasi M: Internet Addiction disorder: An Italian study. Cyberpsychol & Behav. 2007, 10: 170-175. 10.1089/cpb.2006.9972.
Chang MK, Law SPM: Factor structure for Young's Internet Addiction Test: A confirmatory study. Comput Human Behav. 2008, 24: 2597-619. 10.1016/j.chb.2008.03.001.
Goodman R: Psychometric properties of the strengths and difficulties questionnaire. J Am Acad Child Adolesc Psychiatry. 2001, 40 (11): 1337-1345. 10.1097/00004583-200111000-00015.
Vostanis P: Strengths and difficulties questionnaire: research and clinical applications. Curr Opin Psychiatry. 2006, 19 (4): 367-372. 10.1097/01.yco.0000228755.72366.05.
Vaizoglou SA, Aslan D, Gormus U, Unluguzel G, Ozemri S, Akkus A, Guler C: Internet use among high school students in Ankara, Turkey. Saudi Med J. 2004, 25 (6): 737-740.
Halkias D, Harkiolakis N, Thurman P, Caracatsanis S: Internet use for health-related purposes among Greek consumers. Telemed J E Health. 2008, 14 (3): 255-60. 10.1089/tmj.2007.0047.
Rees H, Noyes J: Mobile telephones, computers, and the internet: sex differences in adolescents' use and attitudes. Cyberpsychol Behav. 2007, 10 (3): 482-484. 10.1089/cpb.2006.9927.
Borzekowski DL, Rickert VI: Adolescent cybersurfing for health information: a new resource that crosses barriers. Arch Pediatr Adolesc Med. 2001, 155 (7): 813-817.
Borzekowski DL, Fobil J, Asante K: Online access by adolescents in Accra: Ghanaian teens' use of the internet for health information. Dev Psychol. 2006, 42 (3): 450-458.
Pratarelli M, Browne B: Confirmatory factor analysis of internet use and addiction. Cyberpsychol Behav. 2002, 5 (1): 53-64. 10.1089/109493102753685881.
Tsitsika A, Critselis E, Kormas G, Konstantoulaki E, Constantopoulos A, Kafetzis D: Adolescent pornographic internet site use: a multivariate regression analysis of the predictive factors of use and psychosocial implications. Cyberpsychol Behav. 2009, 12 (5): 545-50. 10.1089/cpb.2008.0346.
Meerkerk G, van den Eijnden R, Garretsen H: Predicting compulsive internet use: it's all about sex!. Cyberpsychol Behav. 2006, 9 (1): 95-103. 10.1089/cpb.2006.9.95.
Morahan-Martin J, Schumacher P: Incidence and correlates of pathological Internet use among college students. Comput Human Behav. 2000, 16: 13-29. 10.1016/S0747-5632(99)00049-7.
Kim E, Namkoong K, Ku T, Kim SJ: The relationship between online game addiction and aggression, self-control and narcissistic personality traits. European Psychiatry. 2008, 23 (3): 212-218. 10.1016/j.eurpsy.2007.10.010.
Ha J, Yoo H, Cho I, Chin B, Shin D, Kim JH: Psychiatric comorbidity assessed in Korean children and adolescents who screen positive for internet addiction. J Clin Psychiatry. 2006, 67 (5): 821-826. 10.4088/JCP.v67n0517.
Kratzer S, Hegerl U: Is "internet addiction" a disorder of its own?--a study on subjects with excessive internet use. Psychiatr Prax. 2008, 35 (2): 80-83. 10.1055/s-2007-970888.
Nannan J, Haigen G: A study on college students' internet usage behavior, attitude and personality traits. Psychol Sci. 2005, 28 (1): 49-51.
Petersen KU, Weymann N, Schelb Y, Thiel R, Thomasius R: [Pathological internet use - epidemiology, diagnostics, co-occurring disorders and treatment]. Fortschr Neurol Psychiatr. 2009, 77 (5): 263-271. 10.1055/s-0028-1109361.
McKenna KY, Bargh JA: Plan 9 from cyberspace: the implications of the internet for personality and social psychology. Pers Soc Psychol Rev. 2000, 4: 57-75. 10.1207/S15327957PSPR0401_6.
Yang C: Sociopsychiatric characteristics of adolescents who use computers to excess. Acta Psychiatrica Scandinavica. 2001, 104 (3): 217-222. 10.1034/j.1600-0447.2001.00197.x.
Lin SSJ, Tsai CC: Sensation seeking and Internet dependence of Taiwanese high school adolescents. Computers in Human Behavior. 2002, 18: 411-426. 10.1016/S0747-5632(01)00056-5.
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The present work was funded by the Second University Department of Pediatrics, "P. & A. Kyriakou" Children's Hospital, at the National and Kapodistrian University of Athens School of Medicine. The funding body contributed to the study design and data collection. The funding body did not have any role in the analysis and interpretation of data, composition of the manuscript, and/or decision to submit the manuscript for publication.
The authors declare that they have no competing interests.
GK participated in the conception and design, acquisition of data, and manuscript composition. EC performed the statistical analysis and interpretation of data, and participated in the composition and critical revision of the manuscript. MJ participated in the composition and critical revision of the manuscript. DK helped critically revise the manuscript for intellectual content. AT participated in the study design and coordination. All authors read and approved the final manuscript.
Georgios Kormas, Elena Critselis, Mari Janikian contributed equally to this work.
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Kormas, G., Critselis, E., Janikian, M. et al. Risk factors and psychosocial characteristics of potential problematic and problematic internet use among adolescents: A cross-sectional study. BMC Public Health 11, 595 (2011). https://doi.org/10.1186/1471-2458-11-595
- problematic internet use
- psychosocial factors