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The impact of psychopathological subtypes on retention rate of patients with substance use disorder entering residential therapeutic community treatment

Overview of attention for article published in Annals of General Psychiatry, November 2016
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Title
The impact of psychopathological subtypes on retention rate of patients with substance use disorder entering residential therapeutic community treatment
Published in
Annals of General Psychiatry, November 2016
DOI 10.1186/s12991-016-0119-x
Pubmed ID
Authors

Angelo G. I. Maremmani, Pier Paolo Pani, Emanuela Trogu, Federica Vigna-Taglianti, Federica Mathis, Roberto Diecidue, Ursula Kirchmayer, Laura Amato, Joli Ghibaudi, Antonella Camposeragna, Alessio Saponaro, Marina Davoli, Fabrizio Faggiano, Icro Maremmani

Abstract

A specific psychopathology of addiction has been proposed and described using the self-report symptom inventory (SCL-90), leading to a 5-factor aggregation of psychological/psychiatric symptoms: 'worthlessness and being trapped', 'somatic symptoms', 'sensitivity-psychoticism', 'panic-anxiety' and 'violence-suicide' in various populations of patients with heroin use disorder (HUD) and other substance use disorders (SUDs). These clusters of symptoms, according to studies that have highlighted the role of possible confounding factors (such as demographic and clinical characteristics, active heroin use, lifetime psychiatric problems and kind of treatment received by the patients), seem to constitute a trait rather than a state of the psychological structure of addiction. These five psychopathological dimensions defined on the basis of SCL-90 categories have also been shown to be correlated with the outcomes of a variety of agonist opioid treatments. The present study aims to test whether the 5-factor psychopathological model of addiction correlates with the outcome (retention rate) of patients with SUDs entering a therapeutic community (TC) treatment. 2016 subjects with alcohol, heroin or cocaine dependence were assigned to one of the five clusters on the basis of the highest SCL-90 factor score shown. Retention in treatment was analysed by means of the survival analysis and Wilcoxon statistics for comparison between the survival curves. The associations between the psychopathological subtypes defined by SCL-90 categories and length of retention in treatment, after taking into account substance of abuse and other sociodemographic and clinical variables, were summarized using Cox regression. Patients with cocaine use disorder (CUD) showed poorer outcomes than those with heroin dependence (HUD). Prominent symptoms of "worthlessness-being trapped" lead to a longer retention in treatment than in the case of the other four prominent psychopathological groups. At the multivariate level, age, detoxified status and total number of psychopathological symptoms proved to influence outcome negatively, especially in CUD. Somatic symptoms and violence-suicide symptoms turned out to correlate with dropout from residential treatment. The SCL-90 5-factor dimensions can be appropriately used as a prognostic tool for drug-dependent subjects entering a residential treatment.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Student > Master 11 17%
Student > Bachelor 10 15%
Researcher 8 12%
Student > Doctoral Student 3 5%
Other 7 11%
Unknown 13 20%
Readers by discipline Count As %
Psychology 17 26%
Medicine and Dentistry 10 15%
Nursing and Health Professions 6 9%
Social Sciences 6 9%
Unspecified 2 3%
Other 5 8%
Unknown 19 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 December 2016.
All research outputs
#13,135,229
of 22,901,818 outputs
Outputs from Annals of General Psychiatry
#214
of 511 outputs
Outputs of similar age
#159,177
of 312,900 outputs
Outputs of similar age from Annals of General Psychiatry
#5
of 6 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 511 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.