Original Article
Neuropsychopharmacology (2008) 33, 827–836; doi:10.1038/sj.npp.1301465; published online 13 June 2007
Performance on the Stroop Predicts Treatment Compliance in Cocaine-Dependent Individuals
Chris C Streeter1,2,3, Devin B Terhune1, Theodore H Whitfield4, Staci Gruber2,3, Ofra Sarid-Segal1,5, Marisa M Silveri2,3, Golfo Tzilos6, Maryam Afshar1, Elizabeth D Rouse2, Hua Tian1, Perry F Renshaw1,2,3, Domenic A Ciraulo1,3,5 and Deborah A Yurgelun-Todd2,3
- 1Division of Psychiatry, Boston University School of Medicine, Boston, MA, USA
- 2Brain Imaging Center, McLean Hospital, Boston, MA, USA
- 3Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- 4Biostatistics Solutions Consulting, Boston, MA, USA
- 5Department of Psychiatry, Boston VA Healthcare System, Boston, MA, USA
- 6Department of Psychology Wayne State University, Detroit, MI, USA
Correspondence: Dr CC Streeter, Division of Psychiatry, Boston University Medical School, 85 E. Newton St. M912E, Boston, MA 02118, USA. Tel: +1 617 638 8008; Fax: +1 617 638 8007; E-mail: streeter@bu.edu
Received 6 October 2006; Revised 23 March 2007; Accepted 26 April 2007; Published online 13 June 2007.
Abstract
Treatment dropout is a problem of great prevalence and stands as an obstacle to recovery in cocaine-dependent (CD) individuals. Treatment attrition in CD individuals may result from impairments in cognitive control, which can be reliably measured by the Stroop color–word interference task. The present analyses contrasted baseline performance on the color-naming, word-reading, and interference subtests of the Stroop task in CD subjects who completed a cocaine treatment trial (completers: N=50) and those who dropped out of the trial before completion (non-completers: N=24). A logistic regression analysis was used to predict trial completion using three models with the following variables: the Stroop task subscale scores (Stroop model); the Hamilton depression rating scale (HDRS) scores (HDRS model); and both the Stroop task subscale scores and HDRS scores (Stroop and HDRS model). Each model was able to significantly predict group membership (completers vs non-completers) better than a model based on a simple constant (HDRS model p=0.02, Stroop model p=0.006, and Stroop and HDRS model p=0.003). Models using the Stroop preformed better than the HDRS model. These findings suggest that the Stroop task can be used to identify cocaine-dependent subjects at risk for treatment dropout. The Stroop task is a widely available, reliable, and valid instrument that can be easily employed to identify and tailor interventions of at risk individuals in the hope of improving treatment compliance.
Keywords:
cocaine, prefrontal, Stroop, compliance, neuropsychological testing, executive function
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