Elbers et al. (2012) investigated the predictive value of gait speed for community walking in Parkinson's disease. A total of 153 patients with Parkinson's disease were included in this study. Community walking was evaluated using the mobility domain of the Nottingham Extended Activities of Daily Living Index (NEAI). Patients who scored 3 points on item 1 ("Did you walk around outside?") and item 5 ("Did you cross roads?") were considered community walkers (Elbers et al., 2012). Gait speed was measured with the 6-m or 10-m timed walking test. Age, gender, marital status, disease duration, disease severity, motor impairment, balance, freezing of gait, fear of falling, previous falls, cognitive function, executive function, fatigue, anxiety and depression were investigated for their contribution to the multivariate model (Elbers et al., 2012). Results indicated seventy patients (46%) were classified as community walkers. A gait speed of 0.88 m/s correctly predicted 70% of patients as community walkers (Elbers et al., 2012). A multivariate model, including gait speed and fear of falling, correctly predicted 78% of patients as community walkers (Elbers et al., 2012). Elbers et al. concluded timed walking tests are valid measurements to predict community walking in Parkinson's disease. However, evaluation of community walking should include an assessment of fear of falling.