Can Wrist-Worn Medical Devices Correctly Identify Ovulation?

(1) Background: Hormonal fluctuations across the menstrual cycle lead to multiple changes in physiological parameters such as body temperature, cardiovascular function, respiratory rate and perfusion. Electronic wearables analyzing those parameters might present a convenient alternative to urinary ovulation tests for predicting the fertile window. (2) Methods: We conducted a prospective observational study including women aged 18-45 years without current hormonal therapy who used a wrist-worn medical device and urinary ovulation tests for a minimum of three cycles.

Endometriosis features and dienogest tolerability in women with depression: a case-control study.

Objective: Primary aim of this study was to investigate endometriosis characteristics of patients with psychiatric conditions or depression. The secondary aim was to study tolerability of dienogest in this context.

Methods: This observational case-control study included endometriosis data from patients visiting our clinic from 2015-2021.