Evidence map›Paper›PMID 31001986›Full record

ArticleThe Australian and New Zealand journal of psychiatry2019

Fractionation of impulsive and compulsive trans-diagnostic phenotypes and their longitudinal associations.

Samuel R Chamberlain, Jeggan Tiego, Leonardo F Fontenelle, Roxanne Hook, Linden Parkes, Rebecca Segrave, Tobias U Hauser, Ray J Dolan, Ian M Goodyer, Ed Bullmore and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The Australian and New Zealand journal of psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Impulsivity in Gambling Disorder and problem gambling: a meta-analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019
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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

12 authors at 4 institutions in 3 countries.

Samuel R Chamberlain1 Cambridge and Peterborough NHS Foundation Trust and Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.ORCID 0000-0001-7014-8121
Jeggan Tiego2 Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Clayton, VIC, Australia.
Leonardo F Fontenelle2 Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Clayton, VIC, Australia.ORCID 0000-0001-9075-8226
Roxanne Hook1 Cambridge and Peterborough NHS Foundation Trust and Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
Linden Parkes2 Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Clayton, VIC, Australia.
Rebecca Segrave2 Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Clayton, VIC, Australia.
Tobias U Hauser3 The Max Planck UCL Centre for Computational Psychiatry and Ageing, University College London (UCL), London, UK.
Ray J Dolan3 The Max Planck UCL Centre for Computational Psychiatry and Ageing, University College London (UCL), London, UK.
Ian M Goodyer1 Cambridge and Peterborough NHS Foundation Trust and Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
Ed Bullmore1 Cambridge and Peterborough NHS Foundation Trust and Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
Jon E Grant4 Department of Psychiatry and Behavioural Neuroscience, University of Chicago, Chicago, IL, USA.
Murat Yücel2 Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Clayton, VIC, Australia.
Monash University · AUUniversity of Cambridge · GBUniversity College London · GBUniversity of Chicago · US

Funding

Wellcome Trust 095844Wellcome Trust 110049
6 · The paper itself

Abstract

objectiveYoung adulthood is a crucial neurodevelopmental period during which impulsive and compulsive problem behaviours commonly emerge. While traditionally considered diametrically opposed, impulsive and compulsive symptoms tend to co-occur. The objectives of this study were as follows: (a) to identify the optimal trans-diagnostic structural framework for measuring impulsive and compulsive problem behaviours, and (b) to use this optimal framework to identify common/distinct antecedents of these latent phenotypes.

methodIn total, 654 young adults were recruited as part of the Neuroscience in Psychiatry Network, a population-based cohort in the United Kingdom. The optimal trans-diagnostic structural model capturing 33 types of impulsive and compulsive problem behaviours was identified. Baseline predictors of subsequent impulsive and compulsive trans-diagnostic phenotypes were characterised, along with cross-sectional associations, using partial least squares.

resultsCurrent problem behaviours were optimally explained by a bi-factor model, which yielded dissociable measures of impulsivity and compulsivity, as well as a general disinhibition factor. Impulsive problem behaviours were significantly explained by prior antisocial and impulsive personality traits, male gender, general distress, perceived dysfunctional parenting and teasing/arguments within friendships. Compulsive problem behaviours were significantly explained by prior compulsive traits and female gender.

conclusionThis study demonstrates that trans-diagnostic phenotypes of 33 impulsive and compulsive problem behaviours are identifiable in young adults, utilising a bi-factor model based on responses to a single questionnaire. Furthermore, these phenotypes have different antecedents. The findings yield a new framework for fractionating impulsivity and compulsivity, and suggest different early intervention targets to avert emergence of problem behaviours. This framework may be useful for future biological and clinical dissection of impulsivity and compulsivity.

Indexed as

Impulsive BehaviorPersonalityAdultCompulsive BehaviorCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansMaleMental DisordersPhenotypePsychiatryUnited KingdomYoung AdultcompulsiveImpulsivephenotyping

Identifiers

PMID31001986
PMCPMC6724459
OpenAlexW2920914681

What OpenQuestion holds

Textmetadata
LicenceTDM
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.