Menstruation Clinical Trial
Official title:
Study for the Development of Biometrics-informed Menstrual Cycle Algorithms
NCT number | NCT05999123 |
Other study ID # | GH-FH-001 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | July 25, 2023 |
Est. completion date | May 2024 |
A data collection study to develop algorithms to estimate menstrual cycle phases.
Status | Recruiting |
Enrollment | 150 |
Est. completion date | May 2024 |
Est. primary completion date | May 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 18 Years to 42 Years |
Eligibility | Inclusion: - Adults who are between 18 - 42 years old at enrollment and menstruate - Capable of giving informed consent in Spanish or English - Menstrual cycle lengths between 21- 45 days - Have tracked menstruation for at least 3 menstrual cycles out of the prior 6 months - Willing to wear a wrist-worn wearable device continuously for 6 months - Willing to use an ovulation predictor kit for 6 months - Willing to report vaccine history - Owns a smartphone compatible with the study and has access to wi-fi Exclusion: - A citizen of the European Union or United Kingdom - Trying to conceive during the six-month study period - Have used specific forms of birth control in the 3 months prior to the study or planning on using specific birth control methods during the study duration - Participant has undergone hormonal treatment in the past 3 months or planning to do so during the study - Known history of health-related issues that affect their menstrual cycle, history of pelvic radiation, vasomotor symptoms, endometriosis, fibroids, polyps, ovarian cysts or known history of health-related issues that affect the physiology - Currently (or within the past 3 months) engaged in health impacting behaviors - Have been breastfeeding or pregnant in the past 6 months prior to the study - On medications or taking substances that could affect their menstrual cycle or physiology - Travel frequently such as crossing more than two time zones at least once every 2 weeks - Have a known sleeping disorder or consistently work night shifts |
Country | Name | City | State |
---|---|---|---|
United States | Artemis Headlands LLC (Artemis Institute for Clinical Research) | San Diego | California |
Lead Sponsor | Collaborator |
---|---|
Fitbit LLC |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Ovulation Day Estimation | The algorithm's estimated ovulation day compared to the reference urinary ovulation predictor kits (OPK). | 6 months | |
Secondary | Menstruation Day Estimation | The algorithm's estimated menstruation date(s) compared to participants' self-reported menstruation date(s). | 6 months |
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