Physiological Data in the Menstrual Cycle (PDMC)

November 6, 2018 updated by: Ava AG

Variations of Physiological Data Throughout the Menstrual Cycle

Research results suggest changes of physiological parameters such as heart rate, respiration, skin conductance response, sleep duration, sleep quality and skin perfusion during the menstrual cycle. Latest fitness trackers allow to conveniently and non-invasively record these parameters. The present study aims to evaluate whether there is a correlation between physiological parameters and the menstrual cycle i.e. ovulation as measured by a urine ovulation test and the onset of menses. To collect data women will wear two smartwatches and a smartshirt at night. All three devices are CE-approved for sports and fitness.

Study Overview

Study Type

Observational

Enrollment (Actual)

41

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years to 40 years (Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

A maximum of 50 healthy, 20-40 years old, non-pregnant women will be included in the study.

Description

Inclusion Criteria:

  • Healthy, non-pregnant women aged 20-40 years (healthy volunteers)
  • Regular cycling (28 days +/- 2)
  • Non-hormonal contraception methods used
  • German-speaking
  • Written informed consent to participate in the study

Exclusion Criteria:

  • Any health-related issues that may affect menstrual cycle
  • Any consumption of medication or other substances that may affect the menstrual cycle or any of the physiological parameters investigated
  • Frequent travel between time zones
  • Sleeping disorders

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation between menstrual cycle dynamics and physiology
Time Frame: During 1 menstrual cycle between 24 days and 35 days
Correlation between a combination of the physiological parameters heart rate, respiration, skin conductance response, sleep duration, sleep quality and skin perfusion and menstrual cycle dynamics.
During 1 menstrual cycle between 24 days and 35 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 1, 2015

Primary Completion (Actual)

December 31, 2016

Study Completion (Actual)

December 31, 2016

Study Registration Dates

First Submitted

April 21, 2017

First Submitted That Met QC Criteria

April 21, 2017

First Posted (Actual)

April 25, 2017

Study Record Updates

Last Update Posted (Actual)

November 7, 2018

Last Update Submitted That Met QC Criteria

November 6, 2018

Last Verified

November 1, 2018

More Information

Terms related to this study

Other Study ID Numbers

  • Emilia

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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