Abnormal uterine bleeding patterns determined through menstrual tracking among participants in the Apple Women's Health Study.

ABSTRACT:

Background

Use of menstrual tracking data to understand abnormal bleeding patterns has been limited because of lack of incorporation of key demographic and health characteristics and confirmation of menstrual tracking accuracy.

Objective

This study aimed to identify abnormal uterine bleeding patterns and their prevalence and confirm existing and expected associations between abnormal uterine bleeding patterns, demographics, and medical conditions.

Study design

Apple Women's Health Study participants from November 2019 through July 2021 who contributed menstrual tracking data and did not report pregnancy, lactation, use of hormones, or menopause were included in the analysis. Four abnormal uterine bleeding patterns were evaluated: irregular menses, infrequent menses, p

SUBMITTER: Zhang CY 

PROVIDER: S-EPMC9877138 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature