Predictive factors and psychosocial effects of Internet addictive behaviors in Cypriot adolescents.

BACKGROUND: Internet addictive behaviors are associated with a plethora of psychosocial adversities. The study objectives were to assess the determinants and psychosocial correlates associated with Internet addictive behaviors among adolescents. MATERIALS AND METHODS: A cross-sectional study design was applied among a random sample (n=805) of Cypriot adolescents (mean age: 14.7 years). Self-completed questionnaires, including Internet use characteristics, Young Internet Addiction Test, and Strengths and Difficulties Questionnaire, were utilized. RESULTS: Among the study population, the prevalence rates of borderline addictive Internet use (BIU) and addictive Internet use (AIU) were 18.4% and 2%, respectively. Adolescents with BIU had an increased likelihood of concomitantly presenting with abnormal peer relations (AOR: 5.28; 95% confidence interval, CI: 3.37-23.38), conduct problems (AOR: 4.77; 95% CI: 2.82-8.08), hyperactivity (AOR: 5.58; 95% CI: 2.58-12.10) and emotional symptoms (AOR: 2.85; 95% CI: 1.53-5.32). Adolescent AIU was significantly associated with abnormal conduct (AOR: 22.31; 95% CI: 6.90-72.19), peer problems (AOR: 7.14; 95% CI: 1.36-37.50), emotional symptoms (AOR: 19.06; 95% 6.06-60.61), and hyperactivity (AOR: 9.49, 95% CI: 1.87-48.19). The determinants of BIU and AIU included accessing the Internet for the purposes of retrieving sexual information (AOR: 1.17; 95% CI: 1.17-3.23) and participating in games with monetary awards (AOR: 1.90; 95% CI: 1.15-3.14). CONCLUSIONS: Both BIU and AIU were adversely associated with notable behavioral and social maladjustment among adolescents.

Association between internet gambling and problematic internet use among adolescents.

The study objectives were to evaluate the correlates and psychosocial implications of internet gambling among adolescents, as well as the association between internet gambling and problematic internet use. A cross-sectional study design was applied among a random sample (N = 484) of adolescents (71.2% boys; 28.8% girls; mean age ± standard deviation, SD = 14.88 ± 0.55 years). Self-completed questionnaires, including internet gambling practices, internet use characteristics, Young Internet Addiction Test, and Strengths and Difficulties Questionnaire were utilized. The prevalence of internet gambling was 15.1%. Internet gambling was associated with psychosocial maladjustment, including Abnormal Conduct Problems (gender adjusted odds ratio, AOR = 3.83; 95% confidence interval, 95% CI: 1.86-7.92) and Borderline Peer Problems (AOR = 2.04; 95% CI: 1.09-3.85). The likelihood of concomitant problematic internet use was significantly higher among internet gamblers (AOR = 1.81; 95% CI: 1.03-3.19). Multivariate regression analyses indicated that among all characteristics of internet use assessed, utilizing the internet for the purposes of gambling practices was independently associated with problematic internet use among adolescents (AOR = 3.43; 95% CI: 1.40-8.39). Thus, the study findings suggest that adolescents who participate in internet gambling practices are more likely to concomitantly present with problematic internet use.

Internet gambling is a predictive factor of Internet addictive behavior.

BACKGROUND AND AIMS: Adolescent Internet gambling is associated with concomitant addictive behaviors. This study aimed to assess the prevalence of Internet gambling practices, its impact upon psychosocial development and to evaluate the association between gambling practices and Internet addictive behavior among Cypriot adolescents. METHODS: A cross-sectional study was conducted in a convenience sample (n = 805) of adolescents attending selected public schools (9th and 10th grades) in Cyprus. Anonymous self-completed questionnaires were used including the Internet Addiction Test and the Strengths and Difficulties Questionnaire. RESULTS: Among the study population (n = 805), approximately one third (n = 28; 34.9%) reported Internet gambling. Internet gamblers were twice as likely to utilize Internet café portals (adjusted odds ratio for gender and age, AOR: 2.13; 95% confidence interval, 95% CI: 1.56-2.91) for interactive game-playing (AOR: 6.84; 95% CI: 4.23-11.07), chat-rooms (AOR: 2.57; 95% CI: 1.31-4.85), and retrieval of sexual information (AOR: 1.99; 95% CI: 1.42-2.81). Among Internet gamblers 26.0% (n = 73) reported borderline addictive Internet use and 4.3% (n = 12) addictive behavior. Internet gamblers more often had comprehensive psychosocial and emotional maladjustment (AOR: 4.00; 95% CI: 1.97-8.13), including Abnormal Conduct Problems (AOR: 3.26; 95% CI: 2.00-5.32), Emotional Symptoms (AOR: 1.78; 95% CI: 1.02-3.11), and Peer Problems (AOR: 2.44; 95% CI: 1.08-5.48) scores. The multivariate regression analyses indicated that the single independent predictor associated with Internet addictive behavior was Internet gambling (AOR: 5.66; 95% CI: 1.45-22.15). DISCUSSION: Internet gambling is associated with addictive Internet use, as well as emotional maladjustment and behavioral problems, among Cypriot adolescents. CONCLUSIONS: Longitudinal studies are needed to elucidate whether Internet gambling constitutes a risk factor for the development of Internet addictive behavior among adolescents.