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

Author:

Serre Fuschia123ORCID,Gauld Christophe1245ORCID,Lambert Laura12ORCID,Baillet Emmanuelle12ORCID,Beltran Virginie26,Daulouede Jean‐Pierre26,Micoulaud‐Franchi Jean‐Arthur127ORCID,Auriacombe Marc123ORCID

Affiliation:

1. University of Bordeaux Bordeaux France

2. CNRS, SANPSY, UMR 6033 Bordeaux France

3. Pôle Interétablissement d'Addictologie, CH Ch. Perrens and CHU de Bordeaux Bordeaux France

4. Department of Child Psychiatry Université de Lyon Lyon France

5. Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS and Université Claude Bernard Lyon 1 Lyon France

6. Centre de Soins et d'Accompagnement et de Prévention en Addictologie (CSAPA), BIZIA, Médecins du Monde Centre Hospitalier de la côte Basque Bayonne France

7. University Sleep Clinic Unit, University Hospital of Bordeaux Bordeaux France

Abstract

AbstractBackground and aimsEcological 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 participantsSecondary 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.MeasurementsUsing 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.FindingsAmong 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).ConclusionsDynamic 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.

Publisher

Wiley

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