Suchergebnisse

Background: While loneliness is recognized as a risk to mental and physical health, there is a lack of data covering a broad age range. This study used a Slovenian adult sample to investigate loneliness. Aims: To examine levels of social, emotional and general loneliness within the general population. Method: A survey on a sample representative of the general population ( N = 1,189; aged between 18 and 95 years old ( M = 46.74, standard deviation ( SD) = 16.18); 49.7% were men) was conducted in Slovenia by means of an online questionnaire, covering data on demographic variables and levels of emotional, social and general loneliness. Results: In general, people experienced more social than emotional loneliness. Demographic variables that were significant for emotional, social and general loneliness were the history of past mental illness, civil status and employment status. Other demographic variables played different roles in different types of loneliness. Conclusions: Our study shows that differences in loneliness among demographic subgroups are an important factor in understanding and studying loneliness, especially with regard to the distinction between social and emotional loneliness. Given that loneliness represents today not only a social threat but also a significant health problem, it is important to understand which demographic subgroups are more at risk and how we can help them.

Abstract: Background: Online implementation of suicide prevention interventions offers many advantages, facilitating the dissemination of large-scale suicide prevention interventions. An online tool iAlive aimed at raising awareness and increasing suicide prevention competences in lay people was developed and implemented in Slovenia. Aims: To develop, implement, and evaluate the iAlive tool. Method: Following the development and implementation of the tool, a nonrandomized controlled study with 310 participants was conducted. One hundred fifty-six of them fully completed the study [intervention group (used the iAlive tool): N = 85, control group (did not use the tool): N = 71]. Perceived competences in engaging with a suicidal person were assessed in both groups at baseline and at follow-up (3–4 weeks apart), which also represents the time of the intervention. Results: A significant effect of time and condition [ F(1,149) = 6.62, p = .011, η p2 = .043] showed that the intervention group assessed their perceived competences on intervention exposure more positively compared to the control group. Limitations: Additional data on different populations and people's engagement with the tool in relation to perceived competences are needed. Conclusion: The study suggests that the interactive online tool iAlive effectively increases perceived competences in engaging with a suicidal person. These results provide a background for further dissemination of the tool.

Pathological Internet use (but only with respect to gaming) is classified as mental disorder in the ICD-11. However, there is a large group of adolescents showing excessive Internet use, which may rather be considered adolescent risk-behavior. The aim was to test whether pathological and excessive Internet use should be considered as "psychopathology" or "risk-behavior". A representative, cross-sectional sample of 11.110 students from 10 European Union countries was analyzed. Structural equation models, including the factors "risk-behavior" and "psychopathology" and the variables excessive and pathological Internet use, were tested against each other. "Risk-behavior" was operationalized by several risk-behaviors (e.g. drug abuse, truancy, etc). "Psychopathology" included measures of several mental disorders (e.g. depression, hyperactivity, etc). Excessive Internet use was assessed as the duration and frequency of Internet use. Pathological Internet use was assessed with the Young Diagnostic Questionnaire (i.e., presence of addiction criteria). Excessive Internet use loaded on "risk-behavior" (λ = 0.484, p < .001) and on "psychopathology" (λ = 0.071, p < .007). Pathological Internet use loaded on "risk-behavior" (λ = 0.333, p < .001) and on "psychopathology" (λ = 0.852, p < .001). Chi-square tests determined that the loadings of excessive Internet use (χ2 (1) = 81.98, p < .001) were significantly stronger on "risk-behavior" than "psychopathology". Vice versa, pathological Internet use loaded significantly stronger on "psychopathology" (χ2 (1) = 107.10, p < .001). The results indicate that pathological Internet use should rather be considered as psychopathology. Excessive Internet use on the other hand, should be classified as adolescent risk-behavior.