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Understanding Environmental and Contextual Influences of Physical Activity During First-Year University: The Feasibility of Using Ecological Momentary Assessment in the MovingU Study.

Chloe BedardSara King-DowlingMadeline McDonaldGenevieve Fridlund DuntonJohn CairneyMatthew Y W Kwan
Published in: JMIR public health and surveillance (2017)
This study represents one of the first studies to use an intensive real-time data capture strategy to examine time-varying correlates of PA among first-year university students. These data will aim to describe the physical and social contexts in which PA occurs and examine the relationships between momentary correlates of PA among the first-year university students. Overall, current results suggest that wrist-worn accelerometers and EMA are feasible methods for data collection among the young adult population; however, more work is needed to understand how to improve upon compliance to a real-time data capture method such as EMA.
Keyphrases
  • physical activity
  • electronic health record
  • big data
  • mental health
  • body mass index
  • data analysis
  • human health
  • middle aged
  • deep learning