Nadin Kastirke

Occurence of internet addiction in a general population sample: a latent class analysis.

Background: Prevalence studies of Internet addiction in the general population are rare. In addition, a lack of approved criteria hampers estimation of its occurrence. Aims: This study conducted a latent class analysis (LCA) in a large general population sample to estimate prevalence. Methods: A telephone survey was conducted based on a random digit dialling procedure including landline telephone (n = 14,022) and cell phone numbers (n = 1,001) in participants aged 14-64. The Compulsive Internet Use Scale (CIUS) served as the basis for a LCA used to look for subgroups representing participants with Internet addiction or at-risk use. CIUS was given to participants reporting to use the Internet for private purposes at least 1 h on a typical weekday or at least 1 h on a day at the weekend (n = 8,130). Results: A 6-class model showed best model fit and included two groups likely to represent Internet addiction and at-risk Internet use. Both groups showed less social participation and the Internet addiction group less general trust in other people. Proportions of probable Internet addiction were 1.0% (CI 0.9-1.2) among the entire sample, 2.4% (CI 1.9-3.1) in the age group 14-24, and 4.0% (CI 2.7-5.7) in the age group 14-16. No difference in estimated proportions between males and females was found. Unemployment (OR 3.13; CI 1.74-5.65) and migration background (OR 3.04; CI 2.12-4.36) were related to Internet addiction. Conclusions: This LCA-based study differentiated groups likely to have Internet addiction and at-risk use in the general population and provides characteristics to further define this rather new disorder.

Comorbid Axis I-disorders among subjects with pathological, problem, or at-risk gambling recruited from the general population in Germany: results of the PAGE study.

The aim of the present study was to analyze comorbid Axis I-disorders in a sample of individuals with at-risk, problem, and pathological gambling. A number of 164 adult gamblers derived from a random sample of 15,023 individuals were compared with a general population sample. The lifetime prevalence of any psychiatric disorder was 93.6% among pathological (five-10 criteria), 83.5% among problem (three or four criteria), and 81.0% among at-risk gamblers (one or two criteria). Substance use disorders were the most common comorbid disorders in gamblers. Logistic regression analyses revealed elevated odds ratios for having a comorbid disorder in at-risk (Conditional Odds Ratio (COR) 3.5, Confidence Interval (CI) 2.6-4.6), problem (COR 4.9, CI 3.3-7.3), and pathological gamblers (COR 4.6, CI 3.0-6.9) compared to the general population. No significant differences were found between at-risk and problem gamblers or problem and pathological gamblers. Compared to at-risk gamblers, pathological gamblers showed elevated rates of comorbid substance use disorders. The data suggest a linear association between gambling disorder severity and comorbid Axis I-disorders. In conclusion, comorbid disorders are very prevalent in individuals with gambling problems. Even at-risk gamblers with one or two DSM-IV criteria show high rates of Axis I-disorders. Therefore, this group should be included in further studies on problematic gambling.

Assessment of problematic internet use by the Compulsive Internet Use Scale and the Internet Addiction Test: a sample of problematic and pathological gamblers.

This study aims to analyze psychometric properties and validity of the Compulsive Internet Use Scale (CIUS) and the Internet Addiction Test (IAT) and, second, to determine a threshold for the CIUS which matches the IAT cut-off for detecting problematic Internet use. A total of 292 subjects with problematic or pathological gambling (237 men, 55 women) aged 14-63 years and with private Internet use for at least 1 h per working or weekend day were recruited via different recruitment channels. Results include that both scales were internally consistent (Cronbachs α = 0.9) and had satisfactory convergent validity (r = 0.75; 95% CI 0.70-0.80). The correlation with duration of private Internet use per week was significantly higher for the CIUS (r = 0.54) compared to the IAT (r = 0.40). Among all participants, 25.3% were classified as problematic Internet users based on the IAT with a cut-off ≥40. The highest proportion of congruent classified cases results from a CIUS cut-off ≥18 (sensitivity 79.7%, specificity 79.4%). However, a higher cut-off (≥21) seems to be more appropriate for prevalence estimation of problematic Internet use.

The “Pathological Gambling and Epidemiology” (PAGE) study program: design and fieldwork

The German federal states initiated the “Pathological Gambling and Epidemiology” (PAGE) program to evaluate the public health relevance of pathological gambling. The aim of PAGE was to estimate the prevalence of pathological gambling and cover the heterogenic presentation in the population with respect to comorbid substance use and mental disorders, risk and protective factors, course aspects, treatment utilization, triggering and maintenance factors of remission, and biological markers. This paper describes the methodological details of the study and reports basic prevalence data. Two sampling frames (landline and mobile telephone numbers) were used to generate a random sample from the general population consisting of 15,023 individuals (ages 14 to 64) completing a telephone interview. Additionally, high‐risk populations have been approached in gambling locations, via media announcements, outpatient addiction services, debt counselors, probation assistants, self‐help groups and specialized inpatient treatment facilities. The assessment included two steps: (1) a diagnostic interview comprising the gambling section of the Composite International Diagnostic Interview (CIDI) for case finding; (2) an in‐depth clinical interview with participants reporting gambling problems. The in‐depth clinical interview was completed by 594 participants, who were recruited from the general or high‐risk populations. The program provides a rich epidemiological database which is available as a scientific use file. Copyright

Factor Structure of the Compulsive Internet Use Scale

An important step in Internet addiction research is to develop standardized instruments for assessing Internet addiction-related symptoms. The Compulsive Internet Use Scale (CIUS) is a promising brief questionnaire. The aim of this study was to examine the factor structure of a German version of the CIUS with confirmatory factor analysis in a general population sample. In addition, the best fitting structure was tested for factorial invariance across sex, age, education level, and weekly Internet use. We used a weighted general population sample (N=8,132) of 14-64 years olds spending at least 1 hour online for private purposes per typical working or weekend day. Findings include that a one-factor model was found to fit well. It was invariant across sex, age, education level, and weekly Internet use. The findings support the validity of the CIUS as a short screening instrument.

Association of Sociodemographic, Psychopathological and Gambling-Related Factors with Treatment Utilization for Pathological Gambling

Background/Aims: Only a small percentage of pathological gamblers utilizes professional treatment for gambling problems. Little is known about which social and gambling-related factors are associated with treatment utilization. The aim of this study was to look for factors associated with treatment utilization for pathological gambling. Methods: The study followed a sampling design with 3 different recruitment channels, namely (1) a general population-based telephone sample, (2) a gambling location sample and (3) a project telephone hotline. Pathological gambling was diagnosed in a telephone interview. Participants with pathological gambling (n = 395) received an in-depth clinical interview concerning treatment utilization, comorbid psychiatric disorders and social characteristics. Results: Variables associated with treatment were higher age [odds ratio (OR) 1.05, 95% confidence interval (CI) 1.03-1.08], an increased number of DSM-IV criteria for pathological gambling (OR 1.34, 95% CI 1.06-1.70), more adverse consequences from gambling (OR 1.10, 95% CI 1.03-1.16) and more social pressure from significant others (OR 1.17, 95% CI 1.07-1.27). Affective disorders were associated with treatment utilization in the univariate analysis (OR 1.81, 95% CI 1.19-2.73), but multivariate analysis showed that comorbid psychiatric disorders were not independently associated. Conclusion: These results indicate that individuals with more severe gambling problems utilize treatment at an older age when more adverse consequences have occurred. Further research should focus on proactive early interventions.