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.
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http://dx.doi.org/10.1007/s10899-008-9104-x | DOI Listing |
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 PDFBrain Behav Immun Health
February 2025
Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100, Novara, Italy.
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 PDFBMC Psychiatry
January 2025
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
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 PDFJAMA Netw Open
January 2025
Laboratory of NeuroImaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
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).
Psychol Res Behav Manag
January 2025
School of Basic Medicine, Jining Medical University, Jining, 272067, People's Republic of China.
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.
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