Evidence map›Paper›PMID 31194760›Full record

ArticlePloS one2019

Examining the relation of personality factors to substance use disorder by explanatory item response modeling of DSM-5 symptoms.

Fu Chen, Hongmei Yang, Okan Bulut, Ying Cui, Tao Xin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 22 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

5 authors at 2 institutions in 2 countries.

Fu ChenFaculty of Psychology, Beijing Normal University, Beijing, China.
Hongmei YangFaculty of Psychology, Beijing Normal University, Beijing, China.
Okan BulutDepartment of Educational Psychology, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0001-5853-1267
Ying CuiDepartment of Educational Psychology, University of Alberta, Edmonton, AB, Canada.
Tao XinCollaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing, China.
University of Alberta · CABeijing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper explores how personality factors affect substance use disorders (SUDs) using explanatory item response modeling (EIRM). A total of 606 Chinese illicit drug users participated in our study. After removing the cases with missing values on the covariate measures, a final sample of 573 participants was used for data analysis. The Diagnostic and Statistical Manual of Mental Disorders (DSM-5) was used to measure the illicit drug users' SUD level. Four personality factors-anxiety sensitivity, impulsivity, sensation seeking and hopelessness-along with gender and alcohol use were included in EIRM as person covariates. The results indicated that gender, alcohol use, and their interaction significantly predicted the SUD level. The only personality factor that strongly predicted the SUD level was sensation seeking. In addition, the interaction between gender and hopelessness was also found to be a significant predictor of the SUD level, indicating that the negative effect of hopelessness on SUD is stronger for women than for men. The findings suggest that sensation seeking plays an important role in influencing SUDs, and thus, it should be considered when designing intervention or screening procedures for potential illicit drug users. In addition, several DSM-5 SUD symptoms were found to exhibit differential effects by gender, alcohol use, and personality factors. The possible explanations were discussed.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersModels, TheoreticalPersonalityPersonality AssessmentAdolescentAdultFemaleHumansMaleMiddle AgedPsychometricsSubstance-Related DisordersYoung Adult

Identifiers

PMID31194760
PMCPMC6563981
OpenAlexW2952018718

What OpenQuestion holds

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LicenceCC BY
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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.