Unknown

Dataset Information

Survey Analysis of Quantitative and Qualitative Menstrual Cycle Tracking Technologies.


ABSTRACT: Background and Objectives: Digital health and personalized medicine are advancing at an unprecedented pace. Users can document their menstrual cycle data in a variety of ways, including smartphone applications (apps), temperature tracking devices, and at-home urine hormone tests. Understanding the needs and goals of women using menstrual cycle tracking technologies is the first step to making these technologies more evidence based. The purpose of this study was to examine the current use of these technologies and explore how they are being used within the context of common hormonal and reproductive disorders, like polycystic ovary syndrome (PCOS), endometriosis, and infertility. Materials and Methods: This was a cross-sectional study evaluating menstrual cycle tracking techno

SUBMITTER: Stujenske TM 

PROVIDER: S-EPMC10534579 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature