Performance-based assessments of everyday living skills have been shown to be highly correlated with cognitive functioning in schizophrenia and bipolar disorder, as well as being predictive of deficits in real-world outcomes such as independent living and employment. In this study, we expand our assessments of impairments in everyday living skills to China, evaluating people with schizophrenia, bipolar disorder, and major depression, and comparing their performance to that of healthy controls. Samples of people with schizophrenia (N=272), bipolar disorder (n=61), major depression (n=50), and healthy controls (n=284) were examined with the Chinese version of the UCSD performance-based assessment, brief version (UPSA-B). Performance was compared across the groups and the association between age, gender, educational attainment, marital status, and UPSA-B scores was evaluated. When the performance on the UPSA was compared across the groups, with education as a covariate, significant effects of both diagnosis (F=86.3, p<.001) and education were found (F=228.3, p<.001). Sex and age did not contribute significantly when age and education were considered. Post-hoc comparisons revealed that total UPSA-B scores were lowest in the schizophrenia patients, followed by the patients with major depression. Patients with bipolar disorder did not differ from the healthy comparison subjects on overall performance. Scores for all groups were lower than previously reported in western samples (e.g., HC mean = 64). While diagnostic differences in UPSA-B scores are similar to those previously seen in western samples, the education effect is considerably more substantial. These data suggest that in developing countries educational attainment may be strongly associated with levels of adaptive outcomes and the utilization and interpretation of functional capacity measures be adjusted accordingly.

We studied 39 recreational rock climbers to determine the incidence and pattern of injuries sustained in the sport at their level. Eleven climbers (26%), who climbed beyond the sport level, had sustained a major injury from a fall. Thirty-five climbers (89%) sustained at least one significant injury. Fifty percent of the injuries involved the hand or wrist. Only seven climbers (19%) had evidence of a digital pulley injury (climber's finger). Four climbers (11%) had evidence of a carpal tunnel syndrome. Twenty climbers (50%) had tendinitis in an upper extremity on physical examination.

We present a statistical and graphical visualization MATLAB toolbox for the analysis of functional magnetic resonance imaging (fMRI) data, called the Bayesian Spatial Model for activation and connectivity (BSMac). BSMac simultaneously performs whole-brain activation analyses at the voxel and region of interest (ROI) levels as well as task-related functional connectivity (FC) analyses using a flexible Bayesian modeling framework (Bowman et al., 2008). BSMac allows for inputting data in either Analyze or Nifti file formats. The user provides information pertaining to subgroup memberships, scanning sessions, and experimental tasks (stimuli), from which the design matrix is constructed. BSMac then performs parameter estimation based on Markov Chain Monte Carlo (MCMC) methods and generates plots for activation and FC, such as interactive 2D maps of voxel and region-level task-related changes in neural activity and animated 3D graphics of the FC results. The toolbox can be downloaded from http://www.sph.emory.edu/bios/CBIS/. We illustrate the BSMac toolbox through an application to an fMRI study of working memory in patients with schizophrenia.

A growing trend in college and university health care is the requirement that students demonstrate proof of health insurance prior to enrollment. An increasing number of schools are contracting with insurance companies to provide students with school-based options for health insurance. Although this is advantageous to students in some ways, tying health insurance coverage to school enrollment can leave students vulnerable when they are most in need of help. Students whose health insurance is contingent upon their enrollment face significant lapses in coverage when they are required to leave school. This is especially challenging for students with mental illnesses whose treatment needs often go unmet in the absence of that coverage. The limitations in this system must be addressed as an increasing number of universities and students opt for university-based health insurance plans.