Reward and punishment sensitivity in women with gambling disorder or compulsive buying: Implications in treatment outcome

J Behav Addict. 2016 Dec;5(4):658-665. doi: 10.1556/2006.5.2016.074. Epub 2016 Nov 9.

Abstract

Background and aims Gray's Reinforcement Sensitivity Theory has been widely applied to different clinical populations, but few studies have reported empirical evidence based on this theory for treatment outcomes in patients with gambling disorder (GD) and compulsive buying (CB). The aims of this study were to explore the association between clinical variables and personality traits with reward and punishment sensitivity (RPS) levels in women (n = 88) who met diagnostic criteria for GD (n = 61) and CB (n = 27), and to determine the predictive capacity of RPS for primary short-term outcomes in a cognitive-behavioral therapy (CBT) intervention. Methods The CBT intervention consisted of 12 weekly sessions. Data on patients' personality traits, RPS levels, psychopathology, sociodemographic factors, GD, and CB behavior were used in our analysis. Results High RPS levels were associated with higher psychopathology in both CB and GD, and were a risk factor for dropout in the CB group. In the GD group, higher reward sensitivity scores increased the risk of dropout. Discussion and conclusions Our findings suggest that both sensitivity to reward and sensitivity to punishment independently condition patients' response to treatment for behavioral addictions. The authors uphold that CBT interventions for such addictions could potentially be enhanced by taking RPS into consideration.

Keywords: cognitive-behavioral therapy; compulsive buying; dropout; gambling disorder; relapse; reward and punishment sensitivity.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Cognitive Behavioral Therapy
  • Compulsive Behavior / diagnosis
  • Compulsive Behavior / psychology*
  • Compulsive Behavior / therapy*
  • Female
  • Gambling / diagnosis
  • Gambling / psychology*
  • Gambling / therapy*
  • Humans
  • Interview, Psychological
  • Middle Aged
  • Models, Psychological
  • Patient Dropouts / psychology
  • Personality
  • Personality Tests
  • Prognosis
  • Punishment / psychology*
  • Reward*
  • Risk Factors
  • Socioeconomic Factors
  • Treatment Outcome

Grants and funding

Funding sources: This research was supported by grants from Instituto de Salud Carlos III (PI14/00290, CIBERObn, CIBERsam, and Fondos FEDER) and Ministerio de Economía y Competitividad (PSI2015-68701-R). CIBERObn and CIBERSAM are both an initiative of ISCIII. GM-B is supported by a predoctoral grant of AGAUR (2016FI_B 00568). CS-M is supported by a “Miguel Servet” contract from the Carlos III Health Institute (Madrid, Spain) (CP10/00604). JCP and JFN are supported by a grant from Ministerio de Economía y Competitividad (PSI2013-45055). JFN is supported by a predoctoral grant from Ministerio de Educación, Cultura y Deporte (FPU13/00669).