Objective: To develop a tool for assessing intentions to continue or change activities for recovery following mild traumatic brain injury (mTBI) and determine if they are dependent on injury context or activity type. Method: Adult volunteers with no (or no recent) history of mTBI were randomly allocated to one of two vignette conditions, each with a different injury context. The vignette described an mTBI due to a motor vehicle accident (MVA, n = 76) or sport (SPORT, n = 89). Volunteers reported their rest or activity plans for 39 behaviours comprising three behaviour types (cognitive, physical, and restful). Results: Compared to a cut-score representing no change, on average there was a significant (p <= .001) planned decrease in physical and cognitive behaviours (MVAphysicalt(53) = 7.373; SPORTphysicalt(41) = 9.281; MVAcognitivet(41) = 9.367; SPORTcognitivet(51) = −3.521) and a significant planned increase in restful behaviours, such as sleep (MVArestfult(72) = 10.006; SPORTrestfult(86) = 9.566). An overall within-group effect for behaviour-type was not identified and there was no effect of condition (MVA vs. SPORT). Conclusion: The acute rest and activity plans for a simulated mTBI are behaviour specific and not dependent on context. An expectation for blanket-rest was not was observed but rest was planned for specific behaviours. This tool could be used to guide discussions with mTBI patients about their recovery so that their plans align with advice, and it could aid further research into the relation between intended and actual rest and activity and the effect on eventual outcomes.

Background: Anxiety symptoms and anxiety disorders are highly prevalent among elderly people, although infrequently the subject of systematic research in this age group. One important limitation is the lack of a widely accepted instrument to measure dimensional anxiety in both normal old people and old people with mental health problems seen in various settings. Accordingly, we developed and tested of a short scale to measure anxiety in older people.

Methods: We generated a large number of potential items de novo and by reference to existing anxiety scales, and then reduced the number of items to 60 through consultation with a reference group consisting of psychologists, psychiatrists and normal elderly people. We then tested the psychometric properties of these 60 items in 452 normal old people and 46 patients attending a psychogeriatric service. We were able to reduce the number of items to 20. We chose a 1-week perspective and a dichotomous response scale.

Results: Cronbach's α for the 20-item Geriatric Anxiety Inventory (GAI) was 0.91 among normal elderly people and 0.93 in the psychogeriatric sample. Concurrent validity with a variety of other measures was demonstrated in both the normal sample and the psychogeriatric sample. Inter-rater and test–retest reliability were found to be excellent. Receiver operating characteristic analysis indicated a cut-point of 10/11 for the detection of DSM-IV Generalized Anxiety Disorder (GAD) in the psychogeriatric sample, with 83% of patients correctly classified with a specificity of 84% and a sensitivity of 75%.

Conclusions: The GAI is a new 20-item self-report or nurse-administered scale that measures dimensional anxiety in elderly people. It has sound psychometric properties. Initial clinical testing indicates that it is able to discriminate between those with and without any anxiety disorder and between those with and without DSM-IV GAD.

Functional magnetic resonance imaging (FMRI) experiments frequently administer substantially adapted cognitive tests. This study was designed to identify FMRI correlates of a well-standardized clinical measure presented with minor adaptations. We administered the WAIS–III Symbol Search (SS) and a visuospatial control task to fifteen adults during FMRI. SS-related brain activity was identified, followed by analyses of activity related to performance level. Compared to the control task, SS was associated with greater activity in bilateral medial occipital, occipitoparietal, occipitotemporal, parietal, and dorsolateral prefrontal cortices (DLPFC). Across both tasks, slower processing speed was also related to greater activity in these areas, except right DLPFC. Greater activity in left DLPFC was specifically related to slower processing speed during SS. Performance was consistent with education levels. Findings suggest that SS performance involves regions associated with executive and visual processing. Furthermore, slower SS performance was related to greater recruitment of left hemisphere regions associated with executive function in other studies. (JINS, 2005, 11, 471–476.)