Exponent
Phoenix, Arizona, 85027, United States
NCT Number: NCT05852951
The objective of this study was to collect menstrual cycle, health sensor data and general health information to understand correlations between menstrual cycle and health sensor data, and how those correlations may be affected by general health. Participants entered menstrual cycle information (such as start dates, end dates, symptoms, flow), basal body temperature as measured by a thermometer, and ovulation and progesterone test results via apps installed on their iPhone. Additionally, participants were provided with an Apple Watch and a wrist-worn hardware prototype wrist-worn sleep band to collect physiological sensor data. Both menstrual cycle information and physiological sensor data stored on the participants' iPhone prior to enrolling in the study (up to 18 months) was also collected. This study aimed to collect data from females aged 14 and older who are currently menstruating with irregular and regular menstrual cycles.
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Notify Me14 year and older
Female
Observational
Phoenix, Arizona, 85027, United States
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Time frame: 12 months
Retrospective ovulation day estimation (algorithm uses multiple measurements including menstrual flow, urine ovulation prediction testing, basal body temperature, overnight aggregated wrist temperature)
Apple Inc.
Industry
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