Evidence map›Paper›PMID 26170765›Full record

ArticleAddictive disorders & their treatment2015

Demographic and psychological factors associated with lifetime cocaine use: An exploratory factor analysis of baseline questionnaires.

Nadeeka R Dias, Scott D Lane, Nuvan Rathnayaka, Joy M Schmitz, Charles E Green

Abstract read
In one paragraph

Article in Addictive disorders & their treatment, 2015. 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

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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

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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
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Nadeeka R DiasThe University of Texas Health Science Center at Houston.
Scott D LaneThe University of Texas Health Science Center at Houston.
Nuvan RathnayakaThe University of Texas Health Science Center at Houston.
Joy M SchmitzThe University of Texas Health Science Center at Houston.
Charles E GreenThe University of Texas Health Science Center at Houston.

Funding

Translational MR Imaging in Cocaine Pharmacotherapy DevelopmentP50DA009262 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MOELLER, FREDERICK GERARD · 1994 to 2014
$26.9M
NIDA NIH HHS P50 DA009262
6 · The paper itself

Abstract

objectivesUnderlying heterogeneity among individuals with cocaine dependence is widely postulated in the literature, however, identification of a group of factors that explain risk of cocaine use severity has yet to be confirmed.

methodsLatent mixture modeling evaluated 338 cocaine-dependent individuals recruited from the community to assess the evidence for the presence of distinct subgroups. Variables included 5 baseline questionnaires measuring cognitive function (Shipley), impulsivity (BIS), mood (BDI), affective lability (ALS), and addiction severity (ASI). Results failed to suggest multiple subgroups. Given a lack of evidence for discrete latent classes, an exploratory factor analysis (EFA) followed by exploratory structural equation modeling (ESEM) was implemented to identify functional dimensions to enhance interpretation of these variables.

resultsFindings from the EFA indicated a 3-factor model as the best fit, and the subsequent ESEM solution resulted in associations with lifetime cocaine use. Factor 1, best characterized by demographic factors (gender, age), is associated with less lifetime cocaine use. Psychological problems best characterize factor 2, which is associated with higher lifetime cocaine use. Finally, factor 3 is characterized by other substance use (alcohol and marijuana). Although this factor did not demonstrate a statistically reliable relation with self-reported, lifetime cocaine use, it did indicate a potentially meaningful positive association.

conclusionsThese 3 factors delineate dimensions of functioning that likewise help characterize the variability found in previously established associations with self-reported cocaine use.

Identifiers

PMID26170765
PMCPMC4498580

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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.