Adnan T

ORCID: 0000-0002-8620-5917 · 2 papers in corpus

observational 2023

Evaluation of Menstrual Cycle Tracking Behaviors in the Ovulation and Menstruation Health Pilot Study: Cross-Sectional Study

Journal of medical Internet research ·doi:10.2196/42164

BACKGROUND: Menstrual cycle tracking apps (MCTAs) have potential in epidemiological studies of women's health, facilitating real-time tracking of bleeding days and menstrual-associated signs and symptoms. However, information regarding the …

review 2021

The real-world applications of the symptom tracking functionality available to menstrual health tracking apps

Current opinion in endocrinology, diabetes, and obesity ·doi:10.1097/med.0000000000000682

PURPOSE OF REVIEW: The goal of this review was to evaluate whether the fields available in iOS mobile phone apps for recording menstrual cycle symptoms are able to be harmonized across platforms for potential use in research, such as aggreg…