Background and aim: Trunk performance is an important predictor of functional outcome after stroke. However, the percentage of explained variance varies considerably between studies. This may be explained by the stroke population examined, the different scales used to assess trunk performance and the time points used to measure outcome. The aim of this multicentre study was to examine the predictive validity of the Trunk Impairment Scale (TIS) and its subscales when predicting the Barthel Index score at 6 months after stroke. Methods: A total of 102 subjects were recruited in three European rehabilitation centres. Participants were assessed on admission (median time since stroke onset 20 days) and 6 months after stroke. Correlation analysis and forward stepwise multiple regression analysis were used to model outcome. Results: The best predictors of the Barthel Index scores at 6 months after stroke were total TIS score (partial R 2 = 0.52, p,.0001) and static sitting balance subscale score (partial R 2 = 0.50, p,.0001) on admission. The TIS score on admission and its static sitting balance subscale were stronger predictors of the Barthel Index score at 6 months than the Barthel Index score itself on admission.Conclusions: This study emphasises the importance of trunk performance, especially static sitting balance, when predicting functional outcome after stroke. The TIS is recommended as a prediction instrument in the rehabilitation setting when considering the prognosis of stroke patients. Future studies should address the evolution of trunk performance over time and the evaluation of treatment interventions to improve trunk performance.

Background and Purpose-Differences exist between European countries in the proportion of patients who die or become dependent after stroke. The aim of the present study was to identify differences in the use of time by stroke patients in 4 rehabilitation centers in 4 European countries. Methods-In each of the 4 centers, 60 randomly selected stroke patients were observed at 10-minute intervals using behavioral mapping. Observations took place on 30 weekdays selected at random, on equal numbers of morning, afternoon, and evening sessions. A logistic generalized estimating equation model with correction for differences in case mix and multiple testing was used for the analysis. Results-Overall time available from different professions was the highest in the United Kingdom, but patients in the United Kingdom spent on average only 1 hour per day in therapy. This was significantly less than patients in Belgium and Germany, who spent Ϸ2 hours, and patients in Switzerland who spent Ϸ3 hours per day in therapy. In all centers, patients spent less than half their time in interactions and Ͼ72% of the time in nontherapeutic activities. Conclusions-Important

Despite differences in patient profiles and intensity of rehabilitation, no significant differences occurred between centres in prevalence and severity of both disorders. Anxiety was almost as common as depression and additional patients became anxious/depressed at each time point.

It is not only important to be active, but to be active enough to improve health. Health recommendation for stroke survivors to perform moderate intense PA needs to be translated into a pedometer-based step goal.