Heterogeneity in DSM-5 Symptom Criteria: Phenotypes of Alcohol Use Disorder in a Sample Seeking Alcohol Treatment.
Aims This study sought to identify phenotypic variations among individuals with alcohol use disorder (AUD) that may, in part, help improve the effectiveness of existing AUD interventions. Methods Latent class analysis was conducted to examine the potential heterogeneity of AUD in a sample (N = 220;...
| Publicado en: | Alcohol & Alcoholism Vol. 56; no. 6; pp. 660 - 669 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Nov2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153797046&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153797046 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07350414 FA3 jtl: Alcohol & Alcoholism issn: 07350414 maglogo: N pubinfo: dt: Nov2021 vid: 56 iid: 6 pid: 622 pub: Oxford University Press / USA artinfo: ui: 153797046 153797046 153797046 10.1093/alcalc/agaa138 153797046 ppf: 660 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Heterogeneity in DSM-5 Symptom Criteria: Phenotypes of Alcohol Use Disorder in a Sample Seeking Alcohol Treatment. aug: au: Zhao, Junru Linn, Braden Bradizza, Clara Lucke, Joseph Ruszczyk, Melanie Stasiewicz, Paul affil: School of Social Work , University at Buffalo—The State University of New York, 1021 Main Street, Buffalo, NY 14203, USA sug: subj: Alcohol Abuse Symptoms DSM Alcohol Abuse Therapy Phenotype Human Persons with Substance Use Disorders Latent Structure Analysis Middle Age Male Female Adult Socioeconomic Factors Descriptive Statistics Individualized Medicine Middle Aged: 45-64 years Adult: 19-44 years Male Female ab: Aims This study sought to identify phenotypic variations among individuals with alcohol use disorder (AUD) that may, in part, help improve the effectiveness of existing AUD interventions. Methods Latent class analysis was conducted to examine the potential heterogeneity of AUD in a sample (N = 220; M age = 51.19 years, standard deviation = 9.94; 37.7% female) of treatment-seeking participants diagnosed with AUD using DSM-5 criteria. Results and Conclusions Three distinct patterns of responses to the 11 DSM-5 AUD symptoms emerged: Class 1 (n = 114, 51.8%), Class 2 (n = 78, 35.5%) and Class 3 (n = 28, 12.7%). The identified profiles were further differentiated by demographics, alcohol-related constructs, individual difference characteristics and diagnostic and treatment variables. The findings have implications for refining AUD assessment as well as optimizing personalized treatment. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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