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The purpose of this study was to identify parental influences on physical activity behaviours of children with disabilities. One hundred and forty-eight parents of children with disabilities responded to a survey about factors related to parent and child physical activity, parental support and belief in their child's abilities regarding physical activity. The results of multiple regression revealed that parents' perceived competence of their child's physical ability and parental support were the key factors of promoting physical activity behaviours of children with disabilities. Findings from this study should be utilised to inform parents on the ways that they can be most helpful for improving the physical activity experiences of their children.

The purpose of this study was to examine the accuracy of spring-levered and piezoelectric pedometers for adults with and without Down syndrome (DS). Twenty adults with DS and 24 adults without a disability walked for two minute periods ona predetermined indoor course at a self-selected, slower and faster pace. Pedometer recorded and criterion observed steps were compared to determine pedometer error. There was a significant interaction between pedometer model and walking speed. Piezoelectric pedometers demonstrated significantly less measurement error than spring-levered pedometers, particularly at slower walking speeds. There were also significant differences in pedometer error between adults with and without DS. The study concludes that pedometer measurement error is significantly different for adults with DS but also that piezoelectric pedometers can be used in the future to measure walking activity for adults with and without DS. [ABSTRACT FROM AUTHOR]

This study examined sources of variability in physical activity (PA) of youth with developmental disabilities (DD), and determined the optimal number of days required for monitoring PA. Sixteen youth with DD wore two pedometers and two accelerometers for 9 days, including 5 weekdays (W) and 2 weekends (WK). A two-facet in fully crossed two-way ANOVAs were employed to estimate sources of variability across W, WK, and W and WK combined (WWK) for each device. Primary sources of variability were the person and the person by day interaction for both devices. Using a pedometer, four, six, and eight days of measurements were required to determine typical PA levels of the participants during W, WK, and WWK, respectively, Using one accelerometer, four days of measurements were estimated across all days.