Evidence map›Paper›PMID 35899809›Full record

ArticleSuicide & life-threatening behavior2022

Examining associations between suicidal desire, implicit fearlessness about death, and lifetime frequency of suicide attempts.

Matthew T Tull, Zachary T DeMoss, Michael D Anestis, Jason M Lavender, Michael J McDermott, Kim L Gratz

Abstract read
In one paragraph

Article in Suicide & life-threatening behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 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

6 authors.

Matthew T TullDepartment of Psychology, University of Toledo, Toledo, Ohio, USA.ORCID https://orcid.org/0000-0002-1382-117X
Zachary T DeMossDepartment of Psychology, University of Toledo, Toledo, Ohio, USA.
Michael D AnestisNew Jersey Gun Violence Research Center, Piscataway, New Jersey, USA.
Jason M LavenderDepartment of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Michael J McDermottDepartment of Psychology, University of Louisiana at Lafayette, Lafayette, Louisiana, USA.
Kim L GratzDepartment of Psychology, University of Toledo, Toledo, Ohio, USA.ORCID https://orcid.org/0000-0002-2659-6784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSuicide models propose that the capability for suicide, such as fearlessness about death (FAD), is necessary for the transition from suicidal desire to a suicide attempt. Most studies have relied on self-report methods to assess FAD. However, this research has produced equivocal results. As individuals may have limited awareness of learned or pre-existing associations between fearlessness and death, implicit measures of FAD hold promise. This study used a novel implicit association test (IAT), the IAT-FAD, to examine associations between suicidal desire, implicit FAD, and lifetime suicide attempt frequency.

methodsPatients in residential substance use treatment (N = 75), a population with increased suicide risk and exposure to painful and provocative events, completed the IAT-FAD and assessments of suicidal desire and past suicide attempts.

resultsImplicit FAD moderated the association between suicidal desire and lifetime frequency of suicide attempts associated with an intent to die and requiring medical attention (although not ambivalent suicide attempts). Suicidal desire related to medically attended suicide attempts only at high implicit FAD levels, and to suicide attempts with a clear intent to die only at high or mean implicit FAD levels.

conclusionResults provide initial support for the relevance of implicit measures of FAD for understanding suicide risk.

Indexed as

Attitude to DeathSuicide, AttemptedHumansSelf ReportSuicidal IdeationViolenceimplicit measuressuicidalitysuicide capabilitysuicide risk

Identifiers

PMID35899809
PMCPMC10087538

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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.