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AI-Enabled Wearable Monitoring for Detection of Postpartum Depression and Anxiety
Sponsor: University of Hawaii
Summary
The goal of this observational study is to examine whether passively collected wearable data can be used to predict onset and severity of postpartum depression and anxiety symptoms. The main questions it aims to answer are: 1. When do depression and anxiety symptoms emerge, worsen, and improve across the first 6 months postpartum? 2. Can machine learning/artificial intelligence models prospectively predict clinically significant depression symptoms using Apple Watch metrics? Women who have given birth within the past 2 months and who live in Hawai'i will be eligible for the study. Participants will wear an Apple Watch and answer weekly online survey questions until they reach 6 months postpartum. The study is designed to be fully remote to maximize accessibility across the Hawaiian Islands.
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
100
Start Date
2026-12-01
Completion Date
2027-12
Last Updated
2026-10-15
Healthy Volunteers
Yes
Locations (1)
University of Hawai'i at Mānoa
Honolulu, Hawaii, United States