BackgroundWhile loneliness has been regarded as a risk to mental and physical health, there is a lack of current community data covering a broad age range. This study used a large and representative German adult sample to investigate loneliness.MethodsBaseline data of the Gutenberg Health Study (GHS) collected between April 2007 and April 2012 (N = 15,010; 35–74 years), were analyzed. Recruitment for the community-based, prospective, observational cohort study was performed in equal strata for gender, residence and age decades. Measures were provided by self-report and interview. Loneliness was used as a predictor for distress (depression, generalized anxiety, and suicidal ideation) in logistic regression analyses adjusting for sociodemographic variables and mental distress.ResultsA total of 10.5% of participants reported some degree of loneliness (4.9% slight, 3.9% moderate and 1.7% severely distressed by loneliness). Loneliness declined across age groups. Loneliness was stronger in women, in participants without a partner, and in those living alone and without children. Controlling for demographic variables and other sources of distress loneliness was associated with depression (OR = 1.91), generalized anxiety (OR = 1.21) and suicidal ideation (OR = 1.35). Lonely participants also smoked more and visited physicians more frequently.ConclusionsThe findings support the view that loneliness poses a significant health problem for a sizeable part of the population with increased risks in terms of distress (depression, anxiety), suicidal ideation, health behavior and health care utilization.

BackgroundThe Perceived Stress Scale Cohen (J Health Soc Behav 24:385-96, 1983) is a widely and well-established self-report scale measuring perceived stress. However, the German version of the PSS-10 has not yet been validated. Thus, the purposes of this representative study were to psychometrically evaluate the PSS-10, and to provide norm values for the German population.MethodsThe PSS-10 and standardized scales of depression, anxiety, fatigue, procrastination and life satisfaction were administered to a representative, randomly selected German community sample consisting of 1315 females and 1148 male participants in the age range from 14 to 90 years.ResultsThe results demonstrated a good internal consistency and construct validity. Perceived stress was consistently associated with depression, anxiety, fatigue, procrastination and reduced life satisfaction. Confirmatory factor analysis revealed a bi-dimensional structure with two related latent factors. Regarding demographic variables, women reported a higher level of stress than men. Perceived stress decreased with higher education, income and employment status. Older and married participants felt less stressed than younger and unmarried participants.ConclusionThe PSS-10 is a reliable, valid and economic instrument for assessing perceived stress. As psychological stress is associated with an increased risk of diseases, identifying subpopulations with higher levels of stress is essential. Due to the dependency of the perceived stress level on demographic variables, particularly age and sex, differentiated norm values are needed, which are provided in this paper.

BackgroundThe objectives of the study were to generate normative data for the Oslo Social Support Scale (OSSS-3) for different age groups for men and women and to further investigate the factor structure in the general population.MethodsNationally representative face-to face household surveys were conducted in Germany in 2008 (n = 2524).ResultsNormative data for the Oslo Social Support Scale were generated for men and women (52.3% female) and different age levels (mean age (SD) of 48.9 (18.3) years). Men had mean scores comparable to women (10.1 [SD = 2.3] vs. 10.2 [SD = 2.2]). The EFA resulted in a clear one-factor solution for the OSSS-3.ConclusionsThe normative data provide a framework for the interpretation and comparisons of social support with other populations.Electronic supplementary materialThe online version of this article (10.1186/s40359-018-0249-9) contains supplementary material, which is available to authorized users.

Excessive use of online computer games which leads to functional impairment and distress has recently been included as Internet Gaming Disorder (IGD) in Section III of the DSM-5. Although nosological classification of this phenomenon is still a matter of debate, it is argued that IGD might be described best as a non-substance-related addiction. Epidemiological surveys reveal that it affects up to 3% of adolescents and seems to be related to heightened psychosocial symptoms. However, there has been no study of prevalence of IGD on a multi-national level relying on a representative sample including standardized psychometric measures. The research project EU NET ADB was conducted to assess prevalence and psychopathological correlates of IGD in seven European countries based on a representative sample of 12,938 adolescents between 14 and 17 years. 1.6% of the adolescents meet full criteria for IGD, with further 5.1% being at risk for IGD by fulfilling up to four criteria. The prevalence rates are slightly varying across the participating countries. IGD is closely associated with psychopathological symptoms, especially concerning aggressive and rule-breaking behavior and social problems. This survey demonstrated that IGD is a frequently occurring phenomenon among European adolescents and is related to psychosocial problems. The need for youth-specific prevention and treatment programs becomes evident.

OBJECTIVE Various approaches to cognitive-behavioral therapy (CBT) have been shown to be effective for social anxiety disorder. For psychodynamic therapy, evidence for efficacy in this disorder is scant. The authors tested the efficacy of psychodynamic therapy and CBT in social anxiety disorder in a multicenter randomized controlled trial. METHOD In an outpatient setting, 495 patients with social anxiety disorder were randomly assigned to manual-guided CBT (N=209), manual-guided psychodynamic therapy (N=207), or a waiting list condition (N=79). Assessments were made at baseline and at end of treatment. Primary outcome measures were rates of remission and response, based on the Liebowitz Social Anxiety Scale applied by raters blind to group assignment. Several secondary measures were assessed as well. RESULTS Remission rates in the CBT, psychodynamic therapy, and waiting list groups were 36%, 26%, and 9%, respectively. Response rates were 60%, 52%, and 15%, respectively. CBT and psychodynamic therapy were significantly superior to waiting list for both remission and response. CBT was significantly superior to psychodynamic therapy for remission but not for response. Between-group effect sizes for remission and response were small. Secondary outcome measures showed significant differences in favor of CBT for measures of social phobia and interpersonal problems, but not for depression. CONCLUSIONS CBT and psychodynamic therapy were both efficacious in treating social anxiety disorder, but there were significant differences in favor of CBT. For CBT, the response rate was comparable to rates reported in Swedish and German studies in recent years. For psychodynamic therapy, the response rate was comparable to rates reported for pharmacotherapy and cognitive-behavioral group therapy.

These findings suggest specific frontolimbic neural substrates associated with core clinical features of emotional and behavioral dyscontrol in borderline personality disorder.

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eHealth interventions can be effective in treating health problems. However, adoption in inpatient routine care seems limited. The present study therefore aimed to investigate barriers and facilitators to acceptance of eHealth interventions and of online aftercare in particular in health professionals of inpatient treatment. A total of 152 out of 287 health professionals of various professional groups in four inpatient rehabilitation facilities filled out a self-administered web-based questionnaire (response rate: 53%); 128 individuals were eligible for further data analysis. Acceptance and possible predictors were investigated with a complex research model based on the Unified Theory of Acceptance and Use of Technology. Acceptance of eHealth interventions was rather low (M = 2.47, SD = 0.98); however, acceptance of online aftercare was moderate (M = 3.08, SD = 0.96, t(127) = 8.22, p < .001), and eHealth literacy was elevated. Social influence, performance expectancy, and treatment-related internet and mobile use significantly predicted overall acceptance. No differences were found between professional and age groups. Although acceptance of eHealth interventions was limited in health professionals of inpatient treatment, moderate acceptance of online aftercare for work-related stress implies a basis for future implementation. Tailored eHealth education addressing misconceptions about inferiority and incongruity with conventional treatment considering the systemic aspect of acceptance formation are needed.