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Beyond Fundamental Dimensions of Mood in Predicting Depressive Symptoms and Suicidal Ideation in Victims of Interpersonal Violence

Examining the Role of Dispositional Optimism in Chinese Females With and Without Experience of Victimization

Bibliographic Data

ID12437684
AuthorsYifeng Du (0000-0001-8003-542X, Teachers College, Columbia University, NY, USA, corresponding author), Olivia D Chang (0000-0001-9247-6513, University of Michigan, corresponding author), Mingqi Li (0000-0002-4194-1080, DePaul University), Misu Kwon (0000-0001-9324-0166, Yonsei University)
Year2021
Volume28
Issue9
Pages2145-2162
Publication date2021-11-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueViolence Against Women (JOURNAL)
Journal identifiersISSN: 1077-8012 • E-ISSN: 1552-8448
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/10778012211030951
PMID34841961
OpenAlexW3214912711
LanguageEN
Citations received3
References cited52

The present study tested a prediction model involving affectivity and dispositional optimism as predictors of suicide risk (i.e., depressive symptoms and suicidal ideation) in young adult Chinese females with and without prior interpersonal violence (IPV) victimization (294 nonvictimized and 94 victimized females). Results of hierarchical regression analyses indicated that negative affectivity was a significant predictor of both depressive symptoms and suicidal ideation for Chinese females, regardless of IPV victimization. Beyond affectivity, dispositional optimism was found to further add to the prediction model of depressive symptoms in both groups, but only for suicidal ideation in the IPV victimized group

Anxiety · Injury prevention · Medical emergency · Mood · Negative affectivity · Optimism · Poison control · Psychiatry · Suicidal ideation · Suicide prevention · Clinical Psychology · Human Factors and Ergonomics · Intimate Partner and Family Violence · Medicine · Optimism, Hope, and Well-being · Psychology · Social Psychology · Suicide and Self-Harm Studies

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Unique citing works3
Citations per year1
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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