Using a smartphone application to capture daily work activities: a longitudinal pilot study in a farming population.

Pabitra R JosseSarah J LockeHeather R BowlesDana L Wolff-HughesJean-François Sauve Gabriella AndreottiJon MoonJonathan N HofmannLaura E Beane FreemanMelissa C Friesen

Published in: Annals of work exposures and health (2023)

Our study demonstrated feasibility and good compliance in collecting longitudinal activity data over 6 months using smartphones in a relatively homogeneous population of farmers. We captured most of the farming day and observed substantial heterogeneity in activities, highlighting the need for individual activity data when characterizing exposure in farmers. We also identified several areas for improvement. In addition, future evaluations should include more diverse populations.

Keyphrases

electronic health record
big data
physical activity
cross sectional
data analysis
deep learning