Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning

Antenatal depression risk is shaped by women's intersecting identities. Nuanced subgroup differences should inform more targeted and equitable prevention strategies.

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Publication Details

Journal
Preventive Medicine Reports
Published
2026-03-07
DOI
https://doi.org/10.1016/j.pmedr.2026.103437
Primary Topic
Maternal Mental Health During Pregnancy and Postpartum
Type
article
Field-Weighted Citation Impact
0.00
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article

Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning

Sangmi Kim, Moriah Chariz D. Cabadin
Preventive Medicine Reports
Maternal Mental Health During Pregnancy and Postpartum
article

Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning

Sangmi Kim, Moriah Chariz D. Cabadin
article en

Abstract

Antenatal depression risk is shaped by women's intersecting identities. Nuanced subgroup differences should inform more targeted and equitable prevention strategies.

Preventive Medicine ReportsVol. 65
Northside Hospital (US), Emory University (US)
Good health and well-being
Openalex Percentile: Top 34%
Maternal Mental Health During Pregnancy and Postpartum
DOIOpen Access PDFOpenAlex
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Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning — Sangmi Kim, Moriah Chariz D. Cabadin · Preventive Medicine Reports (2026) | TGRS Research Map | TGRS