The synergistic effect of cigarette demand and delay discounting on nicotine dependence among treatment-seeking smokers.


Journal

Experimental and clinical psychopharmacology
ISSN: 1936-2293
Titre abrégé: Exp Clin Psychopharmacol
Pays: United States
ID NLM: 9419066

Informations de publication

Date de publication:
Apr 2019
Historique:
pubmed: 21 12 2018
medline: 16 5 2019
entrez: 21 12 2018
Statut: ppublish

Résumé

From a behavioral economics standpoint, tobacco addiction can be conceptualized as a reinforcer pathology deriving from high cigarette demand and elevated delay discounting (DD) rates. The primary aim of this study was to assess the interactive effects of cigarette demand and DD on nicotine dependence (ND) and cigarette consumption among a sample of treatment-seeking smokers. Participants were 277 smokers (68.9% women) who completed the 19-item version of the Cigarette Purchase Task, a computerized version of the DD task and the Fagerström Test for Nicotine Dependence. To assess cigarette consumption, participants were also asked about their mean number of cigarettes smoked per day. Hierarchical multiple regressions were conducted to assess the interactive effects of demand indices and DD on ND and cigarettes smoked per day. The area under the curve for both demand and DD was used to explore the interactive effect of the 2 variables. Results showed that the interaction between cigarette demand and DD was significantly related to ND severity (

Identifiants

pubmed: 30570273
pii: 2018-63706-001
doi: 10.1037/pha0000248
doi:

Banques de données

ClinicalTrials.gov
['NCT03163056']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

146-152

Subventions

Organisme : Spanish Ministry of Economy and Competitiveness
Organisme : Spanish Ministry of Education, Culture, and Sport

Auteurs

Roberto Secades-Villa (R)

Department of Psychology.

Alba González-Roz (A)

Department of Psychology.

José R Fernández-Hermida (JR)

Department of Psychology.

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Classifications MeSH