BACKGROUND: The purpose of this study was to evaluate the biomedical and psychosocial factors associated with disability at a minimum of six months following @entity128 . METHODS: This cross-sectional study included @entity1 who were assessed between six months and fifteen years following an @entity128 . Assessment measures included @entity1 self-report questionnaires (the Disabilities of the Arm, Shoulder and Hand Questionnaire [DASH]; @entity158 questionnaires; and general health and mental health questionnaires). DASH scores were compared by using unpaired t tests (sex, Workers' Compensation/litigation, affected limb, marital status, education, and geographic location), analysis of variance (nerve injured, work status, and income), or correlations (age and time since injury). Multivariable linear regression analysis was used to evaluate the predictors of the DASH scores. RESULTS: The sample included 158 @entity1 with a mean age (and standard deviation) of 41    16 years. The median time from injury was fourteen months (range, six to 167 months). The DASH scores were significantly higher for @entity1 receiving Workers' Compensation or involved in litigation (p = 0.02), had a @entity2685 (p = 0.001), or were unemployed (p < 0.001). There was a significant positive correlation between the DASH scores and @entity158 intensity (r = 0.51, p < 0.001). In the multivariable regression analysis of the predictors of the DASH scores, the following predictors explained 52.7% of the variance in the final model: @entity158 intensity (Beta = 0.230, p = 0.006), @entity2685 (Beta = -0.220, p = 0.000), time since injury (Beta = -0.198, p = 0.002), @entity158 catastrophizing score (Beta = 0.192, p = 0.025), age (Beta = 0.187, p = 0.002), work status (Beta = 0.179, p = 0.008), cold sensitivity (Beta = 0.171, p = 0.015), @entity308 score (Beta = 0.133, p = 0.066), Workers' Compensation/litigation (Beta = 0.116, p = 0.049), and female sex (Beta = -0.104, p = 0.090). CONCLUSIONS: @entity1 with a @entity1897 report substantial disability, @entity158 , and cold sensitivity. Disability as measured with the DASH was predicted by @entity2685 , older age, @entity158 intensity, work status, time since injury, cold sensitivity, and @entity158 catastrophizing.

Biomedical and psychosocial factors associated with disability after XXXX .

@entity1 :: ('9606', 'Species') :: ['Patients', 'patients', 'patient'] @entity308 :: ('MESH:D003866', 'Disease') :: ['depression'] @entity128 :: ('MESH:D020209', 'Disease') :: ['upper-extremity nerve injury'] @entity1897 :: ('MESH:D010523', 'Disease') :: ['peripheral nerve injury'] @entity158 :: ('MESH:D010146', 'Disease') :: ['pain'] @entity2685 :: ('MESH:C536265', 'Disease') :: ['brachial plexus injury']
@entity1897 :: (MESH:D010523,Disease) :: ['peripheral nerve injury']
