Prospective Graduate Students / Postdocs
This faculty member is currently not actively recruiting graduate students or Postdoctoral Fellows, but might consider co-supervision together with another faculty member.
This faculty member is currently not actively recruiting graduate students or Postdoctoral Fellows, but might consider co-supervision together with another faculty member.
Theses completed in 2010 or later are listed below. Please note that there is a 6-12 month delay to add the latest theses.
Background: One in 20 children live with a developmental disability (DD). Children with DD experience significant barriers to physical activity (PA) participation. Greater contextual information regarding their PA behaviours and preferences is needed for effective PA promotion. Purpose: To investigate the feasibility of Geographic Positioning Systems (GPS) and Fitbits with follow up map-based interviews to describe and understand PA behaviours and context in children with DD. Methods: In this explanatory sequential mixed methods study, 15 children with DD were recruited from across British Columbia, Canada, in summer 2022. Participants wore a Fitbit (Charge 4) and a GPS device (QStarz) for 7 days to assess PA (steps/day) and PA location. Intraday Fitbit data was extracted to REDCap via API. Fitbit and GPS data were processed through a custom in-house algorithm to time-align device data, to validate wear time (≥600 min/d), and to identify PA locations and trip mode (walk, car). Geographic Information Systems (GIS ArcMap) was used to create maps from each child’s device data to guide follow up virtual semi-structured interviews with child and parent participants to understand PA contexts and perceptions of daily PA. Statistical analyses were performed in R, with significance set at p
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