PRIMARY OBJECTIVE: The goal of this investigation is to examine the prevalence of poor subjective sleep in @entity1 with a history of mild @entity131 (mTBI) and examine the relationship between subjective @entity25 and @entity1109 ( @entity1109 ), above and beyond the typical @entity458 variables. RESEARCH DESIGN: Individuals with a history of mTBI completed online questionnaires. Regression analysis was utilized to determine if subjective @entity25 would predict @entity1109 severity, above and beyond demographic variables and @entity458 . METHODS AND PROCEDURES: Individuals with a history of mTBI (n   =   158) completed surveys online. Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) and @entity1109 with the Neurobehavioral Symptom Inventory (NSI). Demographic information was collected and @entity458 was measured using the Brief Symptom Inventory-18 (BSI-18). MAIN OUTCOMES AND RESULTS: In this sample, 92% of @entity1 with mTBI reported poor sleep. Sleep quality significantly accounted for the variance in @entity1109 , above and beyond demographics, time since @entity130 (p   <   0.001), although only a small amount of the variance in @entity1109 was explained. CONCLUSIONS: Results indicate that poor subjective @entity25 is a significant problem in those with mTBI. While sleep is associated with @entity1109 severity, @entity458 is a more potent predictor.

Subjective XXXX and postconcussion symptoms following mild @entity131 .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity131 :: ('MESH:D001930', 'Disease') :: ['traumatic brain injury'] @entity1109 :: ('MESH:D012678', 'Disease') :: ['PCS', 'postconcussive symptoms'] @entity458 :: ('MESH:D020018', 'Disease') :: ['psychological distress', 'demographic and psychological distress'] @entity25 :: ('MESH:D012893', 'Disease') :: ['sleep quality'] @entity130 :: ('MESH:D014947', 'Disease') :: ['injury and psychological distress']
@entity25 :: (MESH:D012893,Disease) :: ['sleep quality']
