Evidence map›Paper›PMID 33463733›Full record

ArticleSuicide & life-threatening behavior2020

Decomposing implicit associations about life and death improves our understanding of suicidal behavior.

Brian A O'Shea, Jeffrey J Glenn, Alexander J Millner, Bethany A Teachman, Matthew K Nock

Open access · hybridAbstract read
In one paragraph

Article in Suicide & life-threatening behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 22% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Childhood violence exposure and social information processing in young adults: Does relationship with the perpetrator matter?Clinical psychological science : a journal of the Association for Psychological Science · 2025
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4 · The record

Corrections and comments

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

5 authors at 3 institutions in 2 countries.

Brian A O'SheaHarvard University, Cambridge, MA, USA.ORCID 0000-0001-9736-238X
Jeffrey J GlennDurham Veterans Affairs Health Care System, Durham, NC, USA.ORCID 0000-0003-0845-3963
Alexander J MillnerHarvard University, Cambridge, MA, USA.ORCID 0000-0001-6092-2857
Bethany A TeachmanUniversity of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-9031-9343
Matthew K NockHarvard University, Cambridge, MA, USA.
Harvard University Press · USDurham VA Health Care System · USUniversity of Virginia · US

Funding

H2020 Marie Skłodowska-Curie Actions 794913
6 · The paper itself

Abstract

The Death/Suicide Implicit Association Test (IAT) is effective at detecting and prospectively predicting suicidal thoughts and behaviors. However, traditional IAT scoring procedures used in all prior studies (i.e., D-scores) provide an aggregate score that is inherently relative, obfuscating the separate associations (i.e., "Me = Death/Suicide," "Me = Life") that might be most relevant for understanding suicide-related implicit cognition. Here, we decompose the D-scores and validate a new analytic technique called the Decomposed D-scores ("DD-scores") that creates separate scores for each category ("Me," "Not Me") in the IAT. Across large online volunteer samples (N > 12,000), results consistently showed that a weakened association between "Me = Life" is more strongly predictive of having a history of suicidal attempts than is a stronger association between "Me = Death/Suicide." These findings replicated across three different versions of the IAT and were observed when calculated using both reaction times and error rates. However, among those who previously attempted suicide, a strengthened association between "Me = Death" is more strongly predictive of the recency of a suicide attempt. These results suggest that decomposing traditional IAT D-scores can offer new insights into the mental associations that may underlie clinical phenomena and may help to improve the prediction, and ultimately the prevention, of these clinical outcomes.

Indexed as

Suicidal IdeationSuicide, AttemptedCognitionHumans

Identifiers

PMID33463733
PMCPMC7689854
OpenAlexW3044304700

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.