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Relation between loneliness and depression

A structural equation analysis

Bibliographic Data

ID6200449
AuthorsDavid G Weeks (Washington University in St. Louis), John L Michela (0000-0002-2991-7264), Letitia Anne Peplau, Martin E Bragg
Year1980
Volume39
Issue6
Pages1238-1244
Publication date1980-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Personality and Social Psychology (JOURNAL)
Journal identifiersISSN: 0022-3514 • E-ISSN: 1939-1315
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/h0077709
PMID7205551
OpenAlexW2069678324
LanguageEN
Citations received70
References cited6

Research on loneliness has been hampered by its strong association with depression. The two states frequently co-occur, and measures of the two states are substantially correlated. Inability to manipulate experimentally loneliness or depression makes it difficult to untangle the causal influence of one on the other. The combination of longitudinal design and structural equation methodology is proposed as a solution to this general problem. Measures of loneliness and depression were administered to undergraduates at two points 5 weeks apart. Data from 333 subjects were correlated and analyzed under a succession of structural equation models. Results indicated that loneliness and depression were correlated but clearly different constructs; neither was a direct cause of the other, though both probably share some common origins; both were highly stable over to 5-week-period

Association (psychology) · Depression (economics) · Developmental psychology · Loneliness · Psychotherapist · Statistics · Structural equation modeling · Clinical Psychology · COVID-19 and Mental Health · Health disparities and outcomes · Mathematics · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology

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Unique citing works70
Citations per year1,59
Citation span1982 - 2026 (45)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 62

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