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Construction and validation of a scale to measure loneliness and isolation during social distancing and its effect on mental health

Please always quote using this URN: urn:nbn:de:bvb:20-opus-269446
  • A variety of factors contribute to the degree to which a person feels lonely and socially isolated. These factors may be particularly relevant in contexts requiring social distancing, e.g., during the COVID-19 pandemic or in states of immunodeficiency. We present the Loneliness and Isolation during Social Distancing (LISD) Scale. Extending existing measures, the LISD scale measures both state and trait aspects of loneliness and isolation, including indicators of social connectedness and support. In addition, it reliably predicts individualA variety of factors contribute to the degree to which a person feels lonely and socially isolated. These factors may be particularly relevant in contexts requiring social distancing, e.g., during the COVID-19 pandemic or in states of immunodeficiency. We present the Loneliness and Isolation during Social Distancing (LISD) Scale. Extending existing measures, the LISD scale measures both state and trait aspects of loneliness and isolation, including indicators of social connectedness and support. In addition, it reliably predicts individual differences in anxiety and depression. Data were collected online from two independent samples in a social distancing context (the COVID-19 pandemic). Factorial validation was based on exploratory factor analysis (EFA; Sample 1, N = 244) and confirmatory factor analysis (CFA; Sample 2, N = 304). Multiple regression analyses were used to assess how the LISD scale predicts state anxiety and depression. The LISD scale showed satisfactory fit in both samples. Its two state factors indicate being lonely and isolated as well as connected and supported, while its three trait factors reflect general loneliness and isolation, sociability and sense of belonging, and social closeness and support. Our results imply strong predictive power of the LISD scale for state anxiety and depression, explaining 33 and 51% of variance, respectively. Anxiety and depression scores were particularly predicted by low dispositional sociability and sense of belonging and by currently being more lonely and isolated. In turn, being lonely and isolated was related to being less connected and supported (state) as well as having lower social closeness and support in general (trait). We provide a novel scale which distinguishes between acute and general dimensions of loneliness and social isolation while also predicting mental health. The LISD scale could be a valuable and economic addition to the assessment of mental health factors impacted by social distancing.show moreshow less

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Metadaten
Author: Marthe Gründahl, Martin Weiß, Lisa Maier, Johannes Hewig, Jürgen Deckert, Grit Hein
URN:urn:nbn:de:bvb:20-opus-269446
Document Type:Journal article
Faculties:Medizinische Fakultät / Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie
Fakultät für Humanwissenschaften (Philos., Psycho., Erziehungs- u. Gesell.-Wissensch.) / Institut für Psychologie
Language:English
Parent Title (English):Frontiers in Psychiatry
ISSN:1664-0640
Year of Completion:2022
Volume:13
Article Number:798596
Source:Frontiers in Psychiatry (2022) 13:798596. doi: 10.3389/fpsyt.2022.798596
DOI:https://doi.org/10.3389/fpsyt.2022.798596
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:anxiety; depression; loneliness; social distancing; social isolation
Release Date:2023/01/27
Date of first Publication:2022/04/05
Open-Access-Publikationsfonds / Förderzeitraum 2022
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International