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BackgroundLoneliness is a highly relevant public mental health issue. This work presents the validation of a single-item measure of loneliness and its subjective experience: "I am frequently alone/have few contacts". It can be used in large-scale population surveys where an economical assessment is of key importance.MethodsData was drawn from two representative German population surveys conducted in early and late 2020 (combined N = 4,984; 52.9% women; age: M = 48.39 years (SD = 17.88)). We determined the prevalence of loneliness in men and women across different age groups. In order to test concurrent validity, bivariate correlation analyses and Chi-square tests were performed. Convergent and discriminant validity were tested by investigating intercorrelations of the single-item measure of loneliness with another loneliness measure, other mental health outcomes, and associations with sociodemographic characteristics.ResultsBased on the single-item measure, 23.4% of participants reported some degree of loneliness, 3.4% among them severe loneliness. Comparisons with the LS-S showed similar prevalence rates of loneliness. A moderately positive relationship between the two loneliness measures was found by bivariate correlation analysis (ρ = .57, p < .001), but results indicated only weak convergent validity. Construct validity was supported by associations with depressive symptoms, anxiety symptoms, satisfaction with life, household size, and partnership.ConclusionsLoneliness is frequently reported in the general population. The single-item measure of loneliness is suitable as a brief screening measure in population-based assessments.

BackgroundIn the context of the COVID-19 pandemic, many individuals have been found to endorse conspiracy beliefs. Socio-demographic variables, personality functioning, anxiety, and loneliness could be risk factors for this endorsement.MethodsIn a representative sample of the German population (N = 2,503) measures of conspiracy mentality, conspiracy-related beliefs toward COVID-19, personality functioning (OPD-SQS), anxiety (HADS), and loneliness (UCLA) were assessed. Pearson product-moment correlations and multiple linear regression analyses were conducted.ResultsConspiracy mentality and conspiracy-related beliefs toward COVID-19 were strongly correlated. Regression analyses found younger age, male gender, lower education, and lower income to be associated with conspiracy mentality. The subscales relationship model and self-perception of the OPD-SQS were positively related to conspiracy mentality whereas interpersonal contact was negatively associated. Higher levels of anxiety were statistically predictive for conspiracy mentality.ConclusionOur findings indicate a contribution of personality functioning to the understanding of conspiracy mentality and thus to the advancement of interventions during the pandemic.