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Predictors of substance use during treatment for addiction: a network analysis of ecological momentary assessment data

dc.rights.licenseopenen_US
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorSERRE, Fuschia
ORCID: 0000-0002-0228-3572
IDREF: 166961884
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorGAULD, Christophe
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorLAMBERT, Laura
ORCID: 0000-0002-8131-8488
IDREF: 262102390
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorBAILLET, Emmanuelle
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorBELTRAN, Virginie
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorDAULOUEDE, Jean-Pierre
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorMICOULAUD FRANCHI, Jean Arthur
IDREF: 199759170
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorAURIACOMBE, Marc
ORCID: 0000-0002-8938-8683
IDREF: 033753210
dc.date.accessioned2025-02-24T11:03:34Z
dc.date.available2025-02-24T11:03:34Z
dc.date.issued2025-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/205165
dc.description.abstractEnBackground and aims: Ecological momentary assessment (EMA) studies have previously demonstrated a prospective influence of craving on substance use in the following hours. Conceptualizing substance use as a dynamic system of causal elements could provide valuable insights into the interaction of craving with other symptoms in the process of relapse. The aim of this study was to improve the understanding of these daily life dynamic inter-relationships by applying dynamic networks analyses to EMA data sets. Design, setting and participants: Secondary analyses were conducted on time-series data from two 2-week EMA studies. Data were collected in French outpatient addiction treatment centres. A total of 211 outpatients beginning treatment for alcohol, tobacco, cannabis, stimulants and opiate addiction took part. Measurements: Using mobile technologies, participants were questioned four times per day relative to substance use, craving, exposure to cues, mood, self-efficacy and pharmacological addiction treatment use. Multi-level vector auto-regression models were used to explore contemporaneous, temporal and between-subjects networks. Findings: Among the 8260 daily evaluations, the temporal network model, which depicts the lagged associations of symptoms within participants, demonstrated a unidirectional association between craving intensity at one time (T0) and primary substance use at the next assessment (T1, r = 0.1), after controlling for the effect of all other variables. A greater self-efficacy at T0 was associated with fewer cues (r = −0.04), less craving (r = −0.1) and less substance use at T1 (r = −0.07), and craving presented a negative feedback loop with self-efficacy (r = −0.09). Conclusions: Dynamic network analyses showed that, among outpatients beginning treatment for addiction, high craving, together with low self-efficacy, appear to predict substance use more strongly than low mood or high exposure to cues.
dc.description.sponsorshipInitiative d'excellence de l'Université de Bordeaux - ANR-10-IDEX-0003en_US
dc.description.sponsorshipBordeaux Region Aquitaine Initiative for Neuroscience - ANR-10-LABX-0043en_US
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.subject.enAddiction
dc.subject.enMulti-level autoregression
dc.subject.enCraving
dc.subject.enDynamic model
dc.subject.enEcological momentary assessment
dc.subject.enSubstance use disorder
dc.subject.enSymptom network
dc.title.enPredictors of substance use during treatment for addiction: a network analysis of ecological momentary assessment data
dc.title.alternativeAddictionen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1111/add.16658en_US
dc.subject.halSciences du Vivant [q-bio]/Neurosciences [q-bio.NC]en_US
dc.identifier.pubmed39210697en_US
bordeaux.journalAddictionen_US
bordeaux.page48-58en_US
bordeaux.volume120en_US
bordeaux.hal.laboratoriesSANPSY (Sommeil, Addiction, Neuropsychiatrie) - UMR 6033en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDConseil Régional Aquitaineen_US
bordeaux.import.sourcecrossref
hal.identifierhal-04963481
hal.version1
hal.date.transferred2025-02-24T11:03:37Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcecrossref
dc.rights.ccCC BY-NCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Addiction&rft.date=2025-01&rft.volume=120&rft.issue=1&rft.spage=48-58&rft.epage=48-58&rft.au=SERRE,%20Fuschia&GAULD,%20Christophe&LAMBERT,%20Laura&BAILLET,%20Emmanuelle&BELTRAN,%20Virginie&rft.genre=article


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