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The extent of loneliness differs internationally. Especially in the developed welfare states of Northern Europe, loneliness levels in the population are comparatively low. However, the increase in loneliness in many countries shows that existing concepts are not sufficient to provide effective protection against loneliness. Younger people also need to be strengthened so that they do not withdraw when they experience social exclusion and loneliness. This requires qualified specialists in kindergartens, schools, sports clubs, and other leisure facilities who help children and young people to establish social contacts. Friendship and neighborhood models have proven to be successful when it comes to strategies to combat loneliness. Greater identification with the neighborhood and a feeling of security help build social networks and reduce loneliness. For older people it is important to be able to stay in their usual social environment and maintain their social contacts. To this end, accessible public spaces must be combined with home care and support services that are tailored to the needs and wishes of older people., (© 2024. The Author(s).)

Background: Loneliness represents a significant health risk and is associated with numerous mental and physical conditions. The aim of this paper was to describe the prevalence of loneliness in Bavaria before and during the COVID-19 pandemic with respect to socio-demographic attributes., Methods: Data sources were the German Ageing Survey (DEAS) and the Socio-Economic Panel (SOEP). Univariate statistical analyses were carried out for different socio-demographic attributes, such as age, gender, type of household, education, and financial resources., Results: According to the SOEP, the proportion of adults who are often or very often lonely increased from 2.3% in 2017 to 16.2% in 2021. In 2021, women had a higher prevalence of loneliness than men (21.0% vs. 11.3%), and younger adults had the highest prevalence of loneliness (18 to 25 years: 31.7%) compared to the other age groups., Discussion and Conclusions: During the COVID-19 pandemic, loneliness increased in almost every population subgroup in Bavaria. Further studies are needed to examine whether this development is temporary or represents a long-term effect even after the measures to prevent the spread of COVID-19 have been lifted., (© 2024. Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature.)

Background: Loneliness is a widespread phenomenon, and it is associated with a variety of health problems and diseases. Unemployed individuals diagnosed with a mental illness (UMIs) are at a high risk of experiencing loneliness, with serious repercussions for their health and vocational rehabilitation. With this study we wanted to better understand the associations between sociodemographic variables, mental health, and loneliness in UMIs., Methods: We analyzed the data of 526 unemployed individuals that received means-tested benefits as well as at least one psychiatric diagnosis. Data were collected between September 2020 and September 2023. We conducted two robust regressions with loneliness (University of California, Los Angeles, Loneliness Scale, UCLA) as an outcome (N = 526). In the first regression, we used social network as a predictor (Lubben Social Network Scale, LSNS-6); in the second regression we included the additional predictors personal debt (yes/no), depression (Patient Health Questionnaire, PHQ-9), anxiety (Mini-Symptom-Checklist,MSCL), and somatization (MSCL) as well as age, gender, education, and living with a partner as control variables., Results: We found a significant negative association between social network and loneliness, and a significant positive association between a high level of education, depression, anxiety, and loneliness., Conclusions: Unemployed individuals diagnosed with a mental illness in our sample exhibited high levels of depression, anxiety, somatization, and loneliness. The associations between social network, mental health, and loneliness that we found emphasize the importance of psychological screening and/or diagnostics, and they highlight areas for prevention., (© 2024. The Author(s).)