ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2024
[Loneliness in unemployed individuals diagnosed with mental illness].
Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Health-related quality of life of unemployed individuals diagnosed with a mental illness: a cross-sectional study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Psychological problems and work ability in unemployed people diagnosed with a mental illness.The International journal of social psychiatry · 2025Article
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9 authors.
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Abstract
backgroundLoneliness 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.
methodsWe 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.
resultsWe 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.
conclusionsUnemployed 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.
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