CClinicalTrials.gg
Not yet recruitingNCT07866053PODUpdated Oct 8, 2026

Hawai'i Postpartum Onset Depression Study

An observational study in Postpartum Depression (PPD) and Postpartum Anxiety, sponsored by University of Hawaii. Not yet recruiting at 1 site in United States. Open to female participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-08.

Sponsored by University of Hawaii · Observational

Updated Oct 8, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
100
Ages
18 Years and older
Sex
Female
01

Study 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.

Read the detailed description

Mental health conditions are the leading cause of perinatal death in the United States, accounting for more than one-quarter of pregnancy-related deaths. Perinatal depression is particularly common, with up to 28% of postpartum individuals meeting criteria for clinically significant depression.

Objective, noninvasive biomarkers, particularly from wearables (e.g., Apple Watch), can passively measure sleep, activity, heart rate, and oxygen saturation, avoiding reporting bias and revealing underlying physiology. However, empirical evidence for wearable-based detection of postpartum depression is lacking, and it remains unclear whether individual variation in changing normative health metrics can be used to remotely monitor common mental health concerns, such as postpartum depression.

To address these gaps, the project proposes a fully remote study in Hawai'i, where geographic and access barriers are high. This project will enroll 100 women within 2 months postpartum and following them to 6 months, and collect Apple Watch metrics and weekly depression/anxiety symptom ratings. Practical AI/machine learning approaches will be designed to automatically process and analyze the large-scale wearable data, enabling the efficient integration of complex, time-varying signals, effective detection of subtle deviations, and accurate prediction of depressive episodes.

By integrating wearable-derived biometrics, weekly symptom tracking, and AI/ML prediction models, this study aims to identify digital biomarkers of postpartum depression and anxiety. These findings may support earlier screening, personalized monitoring, and timely referral for perinatal mental health care in Hawai'i and beyond, especially helping people living in rural areas and on neighbor islands, given that Hawai'i is classified as a state with low access to mental healthcare.

02

Conditions studied

  • Postpartum Depression (PPD)
  • Postpartum Anxiety

Keywords

  • postpartum depression
  • postpartum anxiety
  • wearables
  • Apple Watch
  • artificial intelligence
  • machine learning
03

In context

Depression, Postpartum

528 studies on the registry are indexed under Depression, Postpartum; 124 are open to participants now.

This study's planned enrollment of 100 is below the median of 200 across 88 observational studies indexed under Depression, Postpartum.

Browse Depression, Postpartum studies →

Lead sponsor

University of Hawaii is the lead sponsor of 96 studies on the registry; 21 are open to participants now.

Of its 7 completed or terminated interventional studies of FDA-regulated products, 3 (43%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
Female
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

We will recruit postpartum women across the Hawaiian Islands who have given birth within the last 2 months.

Inclusion criteria

  • Be at least 18 years old;
  • Be within two months after giving birth at the time of enrollment;
  • Live in Hawai'i;
  • Have access to an iPhone that is compatible with the study-specific iOS application and Apple Watch;
  • Be able to understand the study information and provide informed consent; and
  • Be able to read and complete study procedures in English.

Exclusion criteria

Exclusion Criteria:

  • Less than 18 years old;
  • Has not given birth within the past 2 months;
  • Does not live in Hawai'i;
  • Does not have access to a study-compatible iPhone;
  • Cannot understand study information and provide informed consent; or
  • Cannot read or complete study procedures in English.
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
100 participants (estimated)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Clinically Significant Depression Score Assessed by EPDS

    An Edinburgh Postnatal Depression Scale (EPDS) score \>= 11 will indicate a clinically significant depression score (Levis et al., 2020, BMJ).

    Time frame: Anytime between baseline and 6 months postpartum

  2. Alternate Metric for Clinically Significant Depression Score Assessed by EPDS

    An Edinburgh Postnatal Depression Scale (EPDS) score \>= 13 will be an alternative metric for clinically severe depression score (Levis et al., 2020, BMJ).

    Time frame: Anytime between baseline and 6 months postpartum

  3. Clinically Significant Anxiety Score Assessed by GAD-7

    GAD-7 Score \>= 10 (Solomonov et al., 2025, JAMA Network Open)

    Time frame: Anytime between baseline and 6 months postpartum

  4. Alternate Metric for Clinically Significant Anxiety Score Assessed by GAD-7

    GAD-7 score \>= 13 will be an alternate threshold for determining clinically significant anxiety symptoms (Simpson et al., 2014, Canadian Journal of Psychiatry)

    Time frame: Anytime between baseline and 6 months postpartum

Secondary outcomes

  1. Clinically Significant Change in EPDS Scores

    Change of \>= 4 between EPDS scores will indicate a clinically significant change (Matthey, 2004, Journal of Affective Disorders)

    Time frame: Anytime between baseline and 6 months postpartum

  2. Clinically Significant Change in GAD-7 Scores

    Change of greater than 3 on the GAD-7 (Stefana et al., 2026, Anxiety Disorders)

    Time frame: Anytime between baseline and 6 months postpartum

07

Study locations

1 site
  • University of Hawai'i at Mānoa
    Honolulu, Hawaii 96822, United States
    • Zoë Barron · Contact · reeflab@hawaii.edu · 805-242-8408
    • Cassandra L Hendrix, PhD · Principal investigator
    • Yifan Wang, PhD · Principal investigator
08

References and documents

Publications

  • Simpson W, Glazer M, Michalski N, Steiner M, Frey BN. Comparative efficacy of the generalized anxiety disorder 7-item scale and the Edinburgh Postnatal Depression Scale as screening tools for generalized anxiety disorder in pregnancy and the postpartum period. Can J Psychiatry. 2014 Aug;59(8):434-40. doi: 10.1177/070674371405900806. PubMed 25161068 ↗
  • Levis B, Negeri Z, Sun Y, Benedetti A, Thombs BD; DEPRESsion Screening Data (DEPRESSD) EPDS Group. Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: systematic review and meta-analysis of individual participant data. BMJ. 2020 Nov 11;371:m4022. doi: 10.1136/bmj.m4022. PubMed 33177069 ↗
  • Solomonov N, Kerchner D, Dai Y, Kwon M, Callaghan DG, Schier MM, Zhang Y, Osborne LM, Benda NC. Prevalence and Trajectories of Perinatal Anxiety and Depression in a Large Urban Medical Center. JAMA Netw Open. 2025 Sep 2;8(9):e2533111. doi: 10.1001/jamanetworkopen.2025.33111. PubMed 40982279 ↗
  • Stefana A, Mirabella F, Gigantesco A, Camoni L; Perinatal Mental Health Network group. Factor structure, measurement invariance, and clinical change benchmarks of the Generalized Anxiety Disorder-7 (GAD-7) in pregnancy and postpartum. J Anxiety Disord. 2026 Mar;118:103123. doi: 10.1016/j.janxdis.2026.103123. Epub 2026 Jan 13. PubMed 41547078 ↗
  • Matthey S. Calculating clinically significant change in postnatal depression studies using the Edinburgh Postnatal Depression Scale. J Affect Disord. 2004 Mar;78(3):269-72. doi: 10.1016/S0165-0327(02)00313-0. PubMed 15013253 ↗

Individual participant data

Plan to share: Yes — IPD used in results publication(s)

Supporting information: Study protocol, Sap, Analytic code

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Oct 8, 2026
Show all 1 update
  1. Oct 8, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07866053
Lead sponsor
University of Hawaii
Collaborators
Apple Inc.
Responsible party
Yifan Wang (Assistant Professor, University of Hawaii) — Principal investigator
First posted
Oct 8, 2026
Start date
Dec 1, 2026 (estimated)
Primary completion
Dec 2027 (estimated)
Completion
Dec 2027 (estimated)
Last update
Oct 8, 2026

Study contacts

Zoë Barron
Contact
reeflab@hawaii.edu
(805) 242-8408
Cassandra L Hendrix, PhD
principal investigator · University of Hawai'i at Mānoa
Yifan Wang, PhD
principal investigator · University of Hawai'i at Mānoa

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Sep 2026. You cannot join it, but the record below documents what was studied.

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