Empirical derived AUD sub types in the US general population: A latent class analysis.
Abstract: Aims: This study examined the homogenous expression of DSM-5-based alcohol use disorder (AUD) latent subtypes. Method: Using data from the National Epidemiologic Survey of Alcohol and Related Conditions Wave 2 (n=22,177) the typology was established utilising latent class analysis and the...
| Publicado en: | Addictive Behaviors Vol. 38; no. 11; pp. 2782 - 2787 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Elsevier B.V.
Nov2013
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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=ssf&AN=90005539&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 90005539 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03064603 3A4 jtl: Addictive Behaviors issn: 03064603 maglogo: N pubinfo: dt: Nov2013 vid: 38 iid: 11 pid: 2410 pub: Elsevier B.V. artinfo: ui: 90005539 10.1016/j.addbeh.2013.06.022 ppf: 2782 ppct: 5 formats: tig: atl: Empirical derived AUD sub types in the US general population: A latent class analysis. aug: au: Casey, Martina Adamson, Gary Stringer, Maurice affil: School of Psychology,University of Ulster, Magee Campus, Co. Londonderry, N. Ireland, BT48 7JL, UK School of Psychology, University of Ulster, Coleraine Campus, Co. Londonderry, N. Ireland, UK, su: Substance-induced disorders Alcohol-induced disorders Latent class analysis (Statistics) Multivariate analysis Regression analysis sug: subj: Substance-induced disorders Alcohol-induced disorders Latent class analysis (Statistics) Multivariate analysis Regression analysis keyword: Addiction Alcohol disorders Comorbidity DSM-5 Classification LCA National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Addiction Alcohol disorders Comorbidity DSM-5 Classification LCA National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) ab: Abstract: Aims: This study examined the homogenous expression of DSM-5-based alcohol use disorder (AUD) latent subtypes. Method: Using data from the National Epidemiologic Survey of Alcohol and Related Conditions Wave 2 (n=22,177) the typology was established utilising latent class analysis and the model was further validated by multivariate regression on a range of covariates. Results: Three AUD classes based on a severity gradient and one non-problematic class were the most parsimonious description of the data. These classes displayed both quantitative and qualitative differences on the covariates. Conclusions: The resulting typology has high clinical utility, enhances AUD classification and adds to our understanding of AUD trajectories, prevention and treatment. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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