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The Challenge of Incomplete Data in Accelerometer Studies: Characteristics of Nonparticipation and Noncompliance in a Nationwide Sample of Adolescents and Young Adults in Germany.

Kristin ManzAlexander BurchartzClaudia NiessnerSimon KolbAnja SchienkiewitzGert Bernardus Maria Mensink
Published in: Journal of physical activity & health (2023)
Our results suggest that accelerometer samples are biased such that participants with more beneficial health behaviors provide complete accelerometer data more often. This knowledge should be used to design effective recruitment strategies and should be considered when interpreting results of accelerometer studies.
Keyphrases
  • physical activity
  • healthcare
  • electronic health record
  • public health
  • big data
  • mental health
  • artificial intelligence
  • social media
  • deep learning