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Intersectional social identities and loneliness

Evidence from a municipality in Switzerland

Bibliographic Data

ID11042407
AuthorsYang Li (0000-0002-2835-6661, National Centre of Competence in Life Course Research LIVES, Institute of Social Sciences University of Lausanne Lausanne Switzerland, corresponding author), Dario Spini (0000-0001-7171-1975, National Centre of Competence in Life Course Research LIVES, Institute of Social Sciences University of Lausanne Lausanne Switzerland)
Year2022
Volume50
Issue8
Pages3560-3573
Publication date2022-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Community Psychology (JOURNAL)
Journal identifiersISSN: 0090-4392 • E-ISSN: 1520-6629
PublisherWiley (PUBLISHER • GB)
DOI10.1002/jcop.22855
PMID35355276
OpenAlexW4221104655
LanguageEN
Citations received12
References cited43

We examined the extent to which intersectional social identities combine to shape risks of loneliness and identified the specific social clusters that are most at risk of loneliness for more precise and targeted interventions to reduce loneliness in a Swiss municipality. Based on data collected using participatory action research, we used the novel multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to estimate the predictive power of intersectional social attributes on risk of loneliness. We found that 56% of the between‐strata variance was captured by intersectional interaction but was not explained by the additive effect of social identities. We also found that nationality and education had the strongest predictive power for loneliness. Interventions to reduce loneliness may benefit from understanding the resident population's intersectional identities given that individuals with the same combinations of social identities face a common set of social exposures relating to loneliness

Loneliness · Psychological intervention · Set (abstract data type) · Sociology · Computer Science · Health disparities and outcomes · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology · Urban, Neighborhood, and Segregation Studies

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Unique citing works12
Citations per year3
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 10

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