| Unique ID issued by UMIN | UMIN000063173 |
|---|---|
| Receipt number | R000072237 |
| Scientific Title | Exploring Digital Biomarkers for Postpartum Depression: A Prospective Observational Study Focusing on Infant Crying and Parental Cognition Bias |
| Date of disclosure of the study information | 2026/10/05 |
| Last modified on | 2026/10/04 22:34:26 |
A smartphone app study exploring signs of postpartum depression from infant crying and parents' perceptions of it
A BCI(Baby Cry Indicator) Study
Exploring Digital Biomarkers for Postpartum Depression: A Prospective Observational Study Focusing on Infant Crying and Parental Cognition Bias
A BCI(Baby Cry Indicator) Study
| Japan |
Postpartum depression
| Obstetrics and Gynecology | Psychiatry |
Others
NO
In caregivers of infants aged 0-12 months who use a smartphone parenting app, we will prospectively collect, for each infant crying event, the app's AI-based cry analysis results and the caregiver's subjective cognitive responses (perceived distress, urgency, emotional valence, and estimated crying duration). We will examine the associations of the discrepancy between the two (cognitive discrepancy) and of cry acoustic features with postpartum depressive symptoms (EPDS), and will explore, develop, and validate a digital biomarker for postpartum depression, the Baby Cry Indicator (BCI).
Others
Exploration of digital biomarkers and development and validation of a prediction model for postpartum depression
Exploratory
Others
Not applicable
Presence of an Edinburgh Postnatal Depression Scale (EPDS) total score of 9 or higher (at baseline immediately after enrollment and at follow-up 2 weeks or more after enrollment)
1. EPDS total score as a continuous variable (at baseline and follow-up)
2. Change in EPDS total score from baseline to follow-up, and transitions to and from EPDS positivity
3. Generalized Anxiety Disorder-7 (GAD-7) total score and presence of a score of 10 or higher (at baseline and follow-up)
4. Association with EPDS of the discrepancy (cognitive discrepancy) between caregivers' subjective ratings for each crying event (perceived distress, urgency, and emotional valence on 7-point scales, and estimated crying duration) and the app's Cry analysis results (at each crying event during the study period)
5. Association of cry acoustic features (e.g., fundamental frequency, F0) with EPDS
6. Predictive performance of the developed BCI: discrimination (AUC, sensitivity, specificity, F1, PR-AUC), calibration (Brier score, calibration curve), clinical utility (decision curve analysis), and incremental predictive value in hierarchical model comparison (change in AUC, NRI)
Observational
| 16 | years-old | <= |
| Not applicable |
Male and Female
1. Users of the smartphone app "Awa Baby" who have agreed to its terms of use and privacy policy
2. Persons aged 16 years or older who are the primary caregivers of an infant aged 0 to 12 months, including corrected age (including mothers, fathers, grandparents, and other caregivers)
3. Persons able to understand and answer questionnaires in Japanese
4. Persons who have understood the explanation of the study purpose and data use, and have provided consent electronically
1. Persons who self-report having been diagnosed with a serious psychiatric disorder such as schizophrenia or bipolar disorder and currently receiving treatment for its acute phase
2. Persons whose collected acoustic data are of markedly low quality
3. Persons with missing responses to the EPDS or other questionnaires used for the primary outcome
4. Persons aged 16 to 17 years whose parent or guardian has declined their participation in the study
600
| 1st name | Kazuhiko |
| Middle name | |
| Last name | Ohe |
The University of Tokyo
Artificial Intelligence and Digital Twin in Healthcare, Department of Medical
113-0033
7-3-1 Hongo, Bunkyo-ku, Tokyo
03-3815-5411
ohe-office@adm.h.u-tokyo.ac.jp
| 1st name | Tianyuan |
| Middle name | |
| Last name | Lyu |
The University of Tokyo
Department of Biomedical Informatics Division of Social Medicine Graduate School of Medicine
113-8655
7-3-1 Hongo, Bunkyo-ku, Tokyo
03-3815-5411
tlyu@m.u-tokyo.ac.jp
The University of Tokyo
The University of Tokyo
Other
JAPAN
Research Ethics Committee, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo
03-5841-0818
ethics@m.u-tokyo.ac.jp
NO
東京大学医学部附属病院(東京都)
| 2026 | Year | 10 | Month | 05 | Day |
Unpublished
Open public recruiting
| 2026 | Year | 06 | Month | 02 | Day |
| 2026 | Year | 06 | Month | 26 | Day |
| 2026 | Year | 09 | Month | 29 | Day |
| 2026 | Year | 10 | Month | 31 | Day |
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| 2026 | Year | 10 | Month | 04 | Day |
| 2026 | Year | 10 | Month | 04 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000072237