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Feasibility Study on Menstrual Cycles With Fitbit Device (FEMFIT): Prospective Observational Cohort Study.

Anna-Lena LangRosa-Lotta BruhnMaya FehlingAnouk HeidenreichJonathan ReisdorfIfrah KhanyareeMaike HenningsenCornelius Remschmidt
Published in: JMIR mHealth and uHealth (2024)
We demonstrate the feasibility of using an app-based approach to collect combined wearable device and questionnaire data on menstrual cycles. Dropouts in the early weeks of the study indicated that engagement efforts would need to be improved for larger studies. Despite the challenges of collecting wearable data on consecutive days, the data collected provided valuable biological insights, suggesting that the use of questionnaires in conjunction with wearable data may provide a more complete understanding of the menstrual cycle and its impact on daily life. The biological findings should motivate further research into understanding the relationship between the menstrual cycle and objective physiological measurements from sensor devices.
Keyphrases
  • electronic health record
  • big data
  • physical activity
  • artificial intelligence
  • patient reported