Biomaterial Database

Performance on the Stroop predicts treatment compliance in cocaine-dependent individuals. 2008

Chris C Streeter, and Devin B Terhune, and Theodore H Whitfield, and Staci Gruber, and Ofra Sarid-Segal, and Marisa M Silveri, and Golfo Tzilos, and Maryam Afshar, and Elizabeth D Rouse, and Hua Tian, and Perry F Renshaw, and Domenic A Ciraulo, and Deborah A Yurgelun-Todd

Division of Psychiatry, Boston University School of Medicine, Boston, MA 02118, USA. streeter@bu.edu

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.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D009483	Neuropsychological Tests	Tests designed to assess neurological function associated with certain behaviors. They are used in diagnosing brain dysfunction or damage and central nervous system disorders or injury.	Aphasia Tests,Cognitive Test,Cognitive Testing,Cognitive Tests,Memory for Designs Test,Neuropsychological Testing,AX-CPT,Behavioral Assessment of Dysexecutive Syndrome,CANTAB,Cambridge Neuropsychological Test Automated Battery,Clock Test,Cognitive Function Scanner,Continuous Performance Task,Controlled Oral Word Association Test,Delis-Kaplan Executive Function System,Developmental Neuropsychological Assessment,Hooper Visual Organization Test,NEPSY,Neuropsychologic Tests,Neuropsychological Test,Paced Auditory Serial Addition Test,Repeatable Battery for the Assessment of Neuropsychological Status,Rey-Osterrieth Complex Figure,Symbol Digit Modalities Test,Test of Everyday Attention,Test, Neuropsychological,Tests, Neuropsychological,Tower of London Test,Neuropsychologic Test,Test, Cognitive,Testing, Cognitive,Testing, Neuropsychological,Tests, Cognitive
D010349	Patient Compliance	Voluntary cooperation of the patient in following a prescribed regimen.	Client Adherence,Client Compliance,Non-Adherent Patient,Patient Adherence,Patient Cooperation,Patient Noncompliance,Patient Non-Adherence,Patient Non-Compliance,Patient Nonadherence,Therapeutic Compliance,Treatment Compliance,Adherence, Client,Adherence, Patient,Client Compliances,Compliance, Client,Compliance, Patient,Compliance, Therapeutic,Compliance, Treatment,Cooperation, Patient,Non Adherent Patient,Non-Adherence, Patient,Non-Adherent Patients,Non-Compliance, Patient,Nonadherence, Patient,Noncompliance, Patient,Patient Non Adherence,Patient Non Compliance,Patient, Non-Adherent,Therapeutic Compliances,Treatment Compliances
D011237	Predictive Value of Tests	In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.	Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011569	Psychiatric Status Rating Scales	Standardized procedures utilizing rating scales or interview schedules carried out by health personnel for evaluating the degree of mental illness.	Factor Construct Rating Scales (FCRS),Katz Adjustment Scales,Lorr's Inpatient Multidimensional Psychiatric Rating Scale,Wittenborn Scales,Edinburgh Postnatal Depression Scale,Mini International Neuropsychiatric Interview
D011932	Reading	Acquiring information from text.
D003118	Color Perception	Mental processing of chromatic signals (COLOR VISION) from the eye by the VISUAL CORTEX where they are converted into symbolic representations. Color perception involves numerous neurons, and is influenced not only by the distribution of wavelengths from the viewed object, but also by its background color and brightness contrast at its boundary.	Color Perceptions,Perception, Color,Perceptions, Color
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man