Evidence map›Paper›PMID 28135642›Full record

ArticlePsychiatry research2017

Associations between self-harm and distinct types of impulsivity.

Samuel R Chamberlain, Sarah A Redden, Jon E Grant

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Samuel R ChamberlainDepartment of Psychiatry, University of Cambridge, UK; Cambridge and Peterborough NHS Foundation Trust, UK.
Sarah A ReddenDepartment of Psychiatry & Behavioral Neuroscience, University of Chicago.
Jon E GrantDepartment of Psychiatry & Behavioral Neuroscience, University of Chicago. Electronic address: jongrant@uchicago.edu.
University of Chicago · USCambridgeshire and Peterborough NHS Foundation Trust · GB

Funding

Wellcome Trust 110049
6 · The paper itself

Abstract

objectiveThere is an ongoing debate regarding how self-harm should be classified. The aim of this study was to characterize associations between self-harm and impulsivity.

methodTotal 333 adults (mean [SD] age 22.6 (3.6) years, 61% male) were recruited from the general community. History of self-harm was quantified using the Self-Harm Inventory (SHI), which asks about 22 self-harm behaviors. Principal components analysis was used to identify latent dimensions of self-harming behaviors. Relationships between self-harm dimensions and other measures were characterized using ordinary least squares regression.

resultsPrincipal Components Analysis yielded a three factor solution, corresponding to self-injurious self-harm (e.g. cutting, overdoses, burning), interpersonal related self-harm (e.g. engaging in emotionally or sexually abusive relationships), and reckless self-harm (e.g. losing one's job deliberately, driving recklessly, abusing alcohol). Regression modelling showed that all three dimensions of self-harm were associated with lower quality of life.

conclusionsThis study suggests the existence of three distinct subtypes or 'latent factors' of self-harm: all three appear clinically important in that they are linked with worse quality of life. Clinicians should screen for impulse control disorders in people with self-harm, especially when it is self-injurious or involves interpersonal harm.

Indexed as

AdultAlcoholismDisruptive, Impulse Control, and Conduct DisordersEmotionsFemaleHumansImpulsive BehaviorMaleQuality of LifeSelf-Injurious BehaviorYoung AdultCognitionImpulsiveImpulsivitySuicidality

Identifiers

PMID28135642
PMCPMC5346483
OpenAlexW2579105483

What OpenQuestion holds

Textmetadata
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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.