Evidence map›Paper›PMID 30998058›Full record

ArticleExperimental and clinical psychopharmacology2020

Multidimensional latent structure of risk-related phenotypes in healthy young adults.

Elisa Pabon, James MacKillop, Abraham A Palmer, Harriet de Wit

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2020. 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Elisa PabonDepartment of Psychiatry and Behavioral Neuroscience.ORCID 0000-0001-6669-7259
James MacKillopBoris Centre for Addictions Research.
Abraham A PalmerDepartment of Psychiatry.
Harriet de WitDepartment of Psychiatry and Behavioral Neuroscience.

Funding

University of Chicago Initiative for Maximizing Student Development (IMSD) - Renewal 01R25GM109439 · NIGMS · UNIVERSITY OF CHICAGO · PI SCHWARTZ, NANCY B · 2014 to 2023
$5.7M
Integrative Training in the Neurobiology of Addictive BehaviorsT32DA043469 · NIDA · UNIVERSITY OF CHICAGO · PI Donald Hedeker, Xiaoxi Zhuang · 2017 to 2026
$3.8M
The genetic basis of impulsive behavior in humansR01DA032015 · NIDA · UNIVERSITY OF CHICAGO · PI DE WIT, HARRIET · 2011 to 2015
$2.4M
NIDA NIH HHS R01 DA032015NIDA NIH HHS T32 DA043469NIGMS NIH HHS R25 GM109439NIH HHSPeter Boris Chair in Addictions Research
6 · The paper itself

Abstract

Risk-taking behavior can result in a range of maladaptive behaviors such as illicit substance use, unsafe driving, and high-risk sexual behavior. Perception of risk and preference for engaging in risky behaviors have been measured using both self-report measures and a range of behavioral tasks designed for the purpose, and these may predict future risk-taking behavior. However, the interrelationships between these measures and the latent constructs underlying them are poorly understood. In the present study, we examined data from over 1,000 men and women who completed measures of risk-related behaviors, including self-reports of perception of risk, propensity to engage in risky behaviors, and incentivized performance on tasks that involve risk. We conducted principal component analyses (PCAs) to understand the underlying latent structure of these measures. A PCA with the full sample revealed 5 distinct components, corresponding to measures of (a) health/ethical risks, (b) discounting of uncertain rewards, (c) risk of personal finances, (d) preferences in recreational hobbies and social interactions that involve risk, and (e) behavior involving risks in interpersonal interactions. Although we found sex differences on several of the measures, the sex-adjusted PCA components were similar to those of the unadjusted full sample PCA. These findings add to a growing literature revealing different components of the broad category of risk perception and risk-taking behaviors. A better understanding of the multidimensionality of risk preference will help lay the foundation for more refined measures, develop better predictors of future risk-taking behavior, and ultimately to study the genetic or other biological basis of risk-taking. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Indexed as

Health Risk BehaviorsRisk-TakingSelf ReportSexual BehaviorSocial BehaviorAdolescentAdultAutomobile DrivingFemaleFinancial ManagementHumansMalePhenotypePrincipal Component AnalysisRewardSubstance-Related Disorders

Identifiers

PMID30998058
PMCPMC7233128

What OpenQuestion holds

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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.