Insomnia screening in postacute traumatic brain injury: utility and validity of the Pittsburgh Sleep Quality Index.

OBJECTIVE: To assess insomnia in a rehabilitation population, the authors examined the utility and validity of the Pittsburgh Sleep Quality Index (PSQI). The assessment of insomnia is relevant to the treatment of traumatic brain injury at the postacute level and routine screening for insomnia may be enhanced by the availability of a standardized, conveniently used, self-report sleep questionnaire. DESIGN: The authors prospectively studied 91 consecutive patients with traumatic brain injury who were admitted to an outpatient neurorehabilitation program. Besides administering the PSQI, Beck Depression Inventory, Epworth Sleepiness Scale, and Multidimensional Pain Inventory, sleep diary and interview data were obtained and used to divide subjects into insomnia and noninsomnia groups according to the criteria established by the Diagnostic and Statistical Manual of Mental Disorders, ed 4. RESULTS: Sensitivity and specificity rates to the clinical diagnosis of insomnia were 93% and 100%, respectively, for a PSQI Global Score of >8, and 83% and 100% for a diagnosis of insomnia based exclusively on PSQI-derived sleep variable data. Sleep diary data provided concurrent validity for PSQI estimates of sleep-onset latency, sleep duration, and sleep efficiency. The Beck Depression Inventory, Epworth Sleepiness Scale, and Multidimensional Pain Inventory established concurrent validity for individual PSQI items pertaining to mood, hypersomnia, and pain disturbance. CONCLUSION: The PSQI was demonstrated to be a valid and useful screening tool for assessing insomnia among postacute patients with traumatic brain injury.

Factors associated with insomnia among post-acute traumatic brain injury survivors.

This study investigated the relationships between insomnia and select demographic, injury and psychosocial variables in post-acute, traumatic brain injury. Clinical assessment of sleep and mood was undertaken via objective measures and a diagnostic interview among 91 consecutive brain injury admissions to an outpatient neurorehabilitation clinic. No associations between insomnia and gender, education, age, and time since injury were found. A logistic regression model of insomnia prediction based upon the Beck Depression Inventory (BDI), self-reported pain disturbance, litigation and Glasgow Coma Score (GCS) correctly classified 87% of the sample with respect to the presence or absence of insomnia; however, depression and injury severity were the only variables that made a significant unique contribution to the prediction of insomnia. It is concluded that among post-acute traumatic brain injury patients, insomnia is linked with both the presence of depression and a history of milder brain injuries. This suggests that the determinants of insomnia may differ from the acute to the post-acute phase, with neurological factors playing a primary role early in the recovery process and psychosocial factors ascending later. Therefore, assessment and treatment of insomnia must give careful attention to the larger psychosocial context in which the sleep disorder emerges, particularly to role of emotional disturbance.