Predictors of substance use during treatment for addiction: A network analysis of ecological momentary assessment data
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.
Authors
- Virginie Beltran
- Christophe Gauld (ORCID: https://orcid.org/0000-0003-4510-6186)
- Emmanuelle Baillet (ORCID: https://orcid.org/0000-0002-8622-8879)
- Fuschia Serre (ORCID: https://orcid.org/0000-0002-0228-3572)
- Laura Lambert (ORCID: https://orcid.org/0000-0002-8131-8488)
- Jean‐Pierre Daulouède
- Jean‐Arthur Micoulaud‐Franchi (ORCID: https://orcid.org/0000-0002-5203-8444)
- Marc Auriacombe (ORCID: https://orcid.org/0000-0002-8938-8683)
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Université de Bordeaux (FR)
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Bordeaux Population Health (FR)
- Centre Hospitalier de la Côte Basque (FR)
- Institut des Sciences Cognitives (FR)
- Centre Hospitalier Charles Perrens (FR)
- Sommeil, Addiction et Neuropsychiatrie (FR)
Publication Details
- Journal
- Addiction
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1111/add.16658
- Citations
- 15
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 7.61
Funders
- Université de Bordeaux
- Conseil Régional Aquitaine
- Institut pour la Recherche en Santé Publique