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Prediction of Menstrual Associated Symptoms by Biometric Information during Sleep

Prediction of Menstrual Associated Symptoms by Biometric Information during Sleep - Prediction of Menstrual Associated Symptoms by Biometric Information during Sleep

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000053398
Enrollment
100
Registered
2024-01-21
Start date
2024-03-01
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy women

Interventions

Biometric measurements during sleep, evaluation of premenstrual symptoms and cognitive function

Sponsors

Niigata University of Health and Welfare
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: healthy woman

Exclusion criteria

Exclusion criteria: Those taking low-dose pills or LEP, those with amenorrhea, those with neurological, psychiatric, respiratory, circulatory, or gastrointestinal disorders, or those with a history of such disorders.

Design outcomes

Primary

MeasureTime frame
estimated core body temperature and chest skin temperature, sublingual temperature upon awakening, electrocardiogram, inhibitory function, premenstrual symptoms, luteinizing hormone (LH) surge

Countries

Japan

Contacts

Public ContactDaisuke Sato

Niigata University of Health and Welfare Dep. Health and Sports

daisuke@nuhw.ac.jp025-257-4624

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026