Modeling the Dynamics of Addiction Relapse via the Double-Well Potential System.
Substance use relapse is difficult to define, and previous work has used one-size-fits-all ad hoc definitions. Researchers have called for a dynamic and personalized understanding of relapse as a concept and model, necessitating novel statistical tools. We aimed to develop and validate a novel stati...
| Publicado en: | Journal of Psychopathology & Clinical Science Vol. 134; no. 1; pp. 69 - 81 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
Jan2025
|
| Materias: | |
| 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=182245467&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 182245467 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 27697541 MXAZ jtl: Journal of Psychopathology & Clinical Science issn: 27697541 maglogo: N pubinfo: dt: Jan2025 vid: 134 iid: 1 pid: 34 pub: American Psychological Association artinfo: ui: 182245467 10.1037/abn0000960 ppf: 69 ppct: 12 formats: tig: atl: Modeling the Dynamics of Addiction Relapse via the Double-Well Potential System. aug: au: Fatimah, Haya Hunter, Michael D. Bornovalova, Marina A. affil: Department of Psychology, University of Notre Dame Department of Human Development and Family Studies, Pennsylvania State University Department of Psychology, University of South Florida su: Substance abuse relapse Substance abuse Criminal behavior Life satisfaction Dynamical systems sug: subj: Substance abuse relapse Substance abuse Criminal behavior Life satisfaction Dynamical systems keyword: addiction dynamical systems model of relapse relapse substance use addiction dynamical systems model of relapse relapse substance use ab: Substance use relapse is difficult to define, and previous work has used one-size-fits-all ad hoc definitions. Researchers have called for a dynamic and personalized understanding of relapse as a concept and model, necessitating novel statistical tools. We aimed to develop and validate a novel statistical model of latent relapse processes: the double-well potential model (DWPM). This model describes posttreatment substance use in terms of a dynamical system with stable equilibria of abstinence and relapse, person-specific dominant equilibria (tilt), the ease of changing between equilibria (steepness), and an overall relapse risk (RR). Using timeline follow-back data from N = 139 adults with a substance use disorder transitioning back to the community after residential treatment, we examined individual differences and the criterion-related validity of DWPM parameters to determine the clinical utility of the double-well model. While nonuse was the predominant stable state across participants, we found significant between-subjects variability steepness and RR. These individual differences were predictable via demographics, baseline psychopathology, treatment history, and treatment condition. Steepness and RR also predicted long-term outcomes, including life satisfaction and criminal behavior, above and beyond traditional metrics of relapse (proportion of days used and time to first use). Thus, the DWPM is a strong theoretical and statistical representation of the underlying relapse processes. Moreover, the parameters show criterion-related validity and may be useful in precision medicine. General Scientific Summary: Researchers have called for a dynamic and personalized understanding of relapse as a concept and model. We offer a nonlinear dynamical system—a double-well potential model that defines relapse in terms of two equilibria (an abstinence well and use well) of a continuous dynamical system—with individual random effects as one such dynamic and personalized understanding of relapse. We apply this model in a sample of substance users returning to the community and reporting on their daily substance use. We find that model parameters show construct validity and have promise for clinical utility. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|