Network analysis of substance abuse and dependence symptoms.
Background: The DSM uses one set of abuse and dependence criteria to assess multiple substance use disorders (SUDs). Most SUD research aggregates across these symptoms to study the behavior of SUD as a static construct. We use an alternative approach that conceptualizes symptoms as directly interact...
| Publicado en: | Drug & Alcohol Dependence Vol. 161; pp. 230 - 238 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Apr2016
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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=113666823&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113666823 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03768716 3S6 jtl: Drug & Alcohol Dependence issn: 03768716 maglogo: N pubinfo: dt: Apr2016 vid: 161 pid: 1004 pub: Elsevier B.V. artinfo: ui: 113666823 113666823 NLM26898186 113666823 10.1016/j.drugalcdep.2016.02.005 NLM26898186 PMC4861635 [Available on 04/01/17] 113666823 ppf: 230 ppct: 8 formats: tig: atl: Network analysis of substance abuse and dependence symptoms. aug: au: Rhemtulla, Mijke Fried, Eiko I. Aggen, Steven H. Tuerlinckx, Francis Kendler, Kenneth S. Borsboom, Denny affil: Department of Psychology, University of Amsterdam, The Netherlands sug: subj: Models, Psychological Substance Use Disorders Diagnosis Substance Use Disorders Psychosocial Factors Male Virginia Female Young Adult Middle Age Adult Human Twins Psychosocial Factors Validation Studies Comparative Studies Evaluation Research Multicenter Studies Funding Source Middle Aged: 45-64 years Adult: 19-44 years Male Female ab: Background: The DSM uses one set of abuse and dependence criteria to assess multiple substance use disorders (SUDs). Most SUD research aggregates across these symptoms to study the behavior of SUD as a static construct. We use an alternative approach that conceptualizes symptoms as directly interacting variables in psychopathological networks. We apply network models to symptom-level data to investigate the unique roles of individual symptoms and their interactions in SUD.Methods: We analyzed 11 DSM III-R/IV abuse and dependence criteria in a sample of 2405 adult twins who reported use of at least one illicit substance six or more times from the Virginia Adult Twin Study of Psychiatric and Substance Use Disorders (VATSPSUD). We estimated a symptom network for each substance class as well as a global network collapsed across all substance classes. We examined similarities and differences across the 6 networks in terms of symptom-to-symptom connections and symptom centrality.Results: The global network model revealed several interesting symptom connections, such as a strong predictive relation between tolerance and more-than-planned substance use. The most central symptom was using a drug more than planned. In addition, several interesting differences across substances emerged, both in the strength of symptom connections as well as the centrality of symptoms to each network.Conclusions: When analyzed as networks, abuse and dependence symptoms do not function equivalently across illicit substance classes. These findings suggest the value of analyzing individual symptoms and their associations to gain new insight into the mechanisms of SUD. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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