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Initial Validation of a Behavioral Phenotyping Model for Substance Use Disorder.
Keyser-Marcus, Lori; Ramey, Tatiana; Bjork, James M; Martin, Caitlin E; Sabo, Roy; Moeller, F Gerard.
Afiliação
  • Keyser-Marcus L; Department of Psychiatry, Division of Addictions, Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA 23219, USA.
  • Ramey T; Division of Therapeutics and Medical Consequences, National Institute on Drug Abuse (NIDA), Gaithersburg, MD 20877, USA.
  • Bjork JM; Department of Psychiatry, Division of Addictions, Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA 23219, USA.
  • Martin CE; Department of Obstetrics and Gynecology, Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA 23219, USA.
  • Sabo R; Department of Biostatistics, Virginia Commonwealth University, Richmond, VA 23219, USA.
  • Moeller FG; Department of Psychiatry, Division of Addictions, Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA 23219, USA.
Article em En | MEDLINE | ID: mdl-38276802
ABSTRACT
Standard nosological systems, such as DSM-5 or ICD-10, are relied upon as the diagnostic basis when developing treatments for individuals with substance use disorder (SUD). Unfortunately, the vast heterogeneity of individuals within a given SUD diagnosis results in a variable treatment response and/or difficulties ascertaining the efficacy signal in clinical trials of drug development. Emerging precision medicine methods focusing on targeted treatments based on phenotypic subtypes rather than diagnosis are being explored as alternatives. The goal of the present study was to provide initial validation of emergent subtypes identified by an addiction-focused phenotyping battery. Secondary data collected as part of a feasibility study of the NIDA phenotyping battery were utilized. Participants completed self-report measures and behavioral tasks across six neurofunctional domains. Exploratory and confirmatory factor analysis (EFA/CFA) were conducted. A three-factor model consisting of negative emotionality, attention/concentration, and interoception and mindfulness, as well as a four-factor model adding a second negative emotion domain, emerged from the EFA as candidate models. The CFA of these models did not result in a good fit, possibly resulting from small sample sizes that hindered statistical power.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_sustancias_psicoativas Assunto principal: Comportamento Aditivo / Transtornos Relacionados ao Uso de Substâncias / Atenção Plena Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_sustancias_psicoativas Assunto principal: Comportamento Aditivo / Transtornos Relacionados ao Uso de Substâncias / Atenção Plena Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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