Evidence map›Paper›PMID 32431256›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2020

Association of prior depressive symptoms and suicide attempts with subsequent victimization: analysis of population-based data from the Adult Psychiatric Morbidity Survey.

Vishal Bhavsar, Stephani L Hatch, Kimberlie Dean, Sally McManus

Abstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Vishal BhavsarDepartment of Health Services and Population Research, Section of Women's Mental Health, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0001-7519-0599
Stephani L HatchDepartment of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0001-9103-2427
Kimberlie DeanSchool of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0003-3510-5892
Sally McManusNational Center for Social Research, NatCen, London, United Kingdom.ORCID 0000-0003-2711-0819

Funding

Wellcome Trust 101681/Z/13/Z
6 · The paper itself

Abstract

backgroundSymptoms of mental disorder, particularly schizophrenia, predispose to victimization. Much less is known about the relationship between depressive symptoms and later victimization in the general population, the influence of these symptoms on types of subsequent victimization, or the role of symptom severity. We investigated this in nationally representative data from the United Kingdom.

methodsData were from the Adult Psychiatric Morbidity Survey 2007. Multivariable logistic regressions estimated association between (a) prior depressive symptoms, (b) prior depressive symptoms with suicide attempt, and types of more recent victimization. Gender-specific associations were estimated using multiplicative interactions.

resultsPrior depressive symptoms were associated with greater odds of any recent intimate partner violence (IPV), emotional IPV, sexual victimization, workplace victimization, any victimization, and cumulative victimization (adjusted odds ratio [aOR] for increasing types of recent victimization: 1.47, 95% confidence interval [CI]: 1.14, 1.89). Prior depressive symptoms with suicide attempt were associated with any recent IPV, emotional IPV, any victimization, and cumulative victimization (aOR for increasing types of recent victimization: 2.33, 95% CI: 1.22, 4.44). Self reported recalled data on previous depressive symptoms may have limited accuracy. Small numbers of outcomes for some comparisons results in imprecision of these estimates.

conclusionsAside from severe mental illness such as schizophrenia, previous depressive symptoms in the general population are associated with greater subsequent victimization. Men and women with prior depressive symptoms may be vulnerable to a range of types of victimization, and may benefit from interventions to reduce this vulnerability.

Indexed as

AdultBullyingCrime VictimsDepressionFemaleHumansIntimate Partner ViolenceMaleMental DisordersMiddle AgedOdds RatioSexual BehaviorSuicide, AttemptedSurveys and QuestionnairesUnited KingdomDepressionepidemiologyintimate partner violencesexual violencevictimizationworkplace violence

Identifiers

PMID32431256
PMCPMC7355179

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.