The aim of this study was to measure the reliability, validity, and classification accuracy of a Spanish translation of a measure of DSM-IV diagnostic criteria for Pathological Gambling (PG). Participants were 263 male and 23 female patients seeking treatment for PG and a matched non-psychiatric control sample of 259 men and 24 women. A Spanish translation of a 19-item measure of DSM-IV diagnostic criteria for PG (Stinchfield 2003) was administered along with other validity measures. The DSM-IV diagnostic criteria were found to be internally consistent with a coefficient alpha of .95 in the combined sample. Evidence of satisfactory convergent validity included moderate to high correlations with other measures of problem gambling. Using the standard DSM-IV cut-score of five, the ten criteria were found to yield satisfactory classification accuracy results with a high hit rate (.95), high sensitivity (.92), high specificity (.99), low false positive (.01), and low false negative rate (.08). Lowering the cut score to four resulted in modest improvements in classification accuracy and reduced the false negative rate from .08 to .05. The Spanish translation of a measure of DSM-IV diagnostic criteria for PG demonstrated satisfactory psychometric properties and a cut score of four improved diagnostic precision.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10899-008-9104-xDOI Listing

Publication Analysis

Top Keywords

dsm-iv diagnostic
20
diagnostic criteria
20
classification accuracy
16
spanish translation
16
measure dsm-iv
16
translation measure
12
reliability validity
8
validity classification
8
accuracy spanish
8
criteria pathological
8

Similar Publications

Treating Opioid Use Disorder and Opioid Withdrawal in the Context of Fentanyl.

Annu Rev Clin Psychol

January 2025

Behavioral Pharmacology Research Unit, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; email:

The opioid crisis, driven by illicitly manufactured fentanyl, presents significant challenges in treating opioid use disorder (OUD) and opioid withdrawal syndrome. Fentanyl is uniquely lethal due to its rapid onset and respiratory depressant effects, driving the surge in overdose deaths. This review examines the limitations of traditional diagnostic criteria like those of the , Fifth Edition, Text Revision (DSM-5-TR) and explores the potential of dimensional models such as the Hierarchical Taxonomy of Psychopathology (HiTOP) for a more nuanced understanding of OUD.

View Article and Find Full Text PDF

Major Depressive Disorder (MDD) is a widespread psychiatric condition impacting social and occupational functioning, making it a leading cause of disability. The diagnosis of MDD remains clinical, based on the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 criteria, as biomarkers have not yet been validated for diagnostic purposes or as predictors of treatment response. Traditional treatment strategies often follow a one-size-fits-all approach obtaining suboptimal outcomes for many patients who fail to experience response or recovery.

View Article and Find Full Text PDF

The current DSM-oriented diagnostic paradigm has introduced the issue of heterogeneity, as it fails to account for the identification of the neurological processes underlying mental illnesses, which affects the precision of treatment. The Research Domain Criteria (RDoC) framework serves as a recognized approach to addressing this heterogeneity, and several assessment and translation techniques have been proposed. Among these methods, transforming RDoC scores from electronic medical records (EMR) using Natural Language Processing (NLP) has emerged as a suitable technique, demonstrating clinical effectiveness.

View Article and Find Full Text PDF

Importance: Cannabis use has increased globally, but its effects on brain function are not fully known, highlighting the need to better determine recent and long-term brain activation outcomes of cannabis use.

Objective: To examine the association of lifetime history of heavy cannabis use and recent cannabis use with brain activation across a range of brain functions in a large sample of young adults in the US.

Design, Setting, And Participants: This cross-sectional study used data (2017 release) from the Human Connectome Project (collected between August 2012 and 2015).

View Article and Find Full Text PDF

Purpose: Stressful life events are risk factors of depression. To explore whether the avoidant personality disorder (AVPD) features play a mediating role between stressful life events (SLEs) and depression among Chinese first-year university students.

Methods: The cross-sectional study was conducted from April to October 2018.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!