Data · dataset · 2026
Prevalence, Associated Factors and Care for Postpartum Depression in Latvia
Listed in Riga Stradins University dataverse
This project investigated the prevalence, associated sociodemographic and clinical factors of postpartum depression (PPD) in Latvia, while validating two internationally recognised screening instruments (EPDS and PHQ-9) for national use.
Description
Conducted in collaboration with Riga Matedrinty Hospital, the study screened all women attending routine 4-6‑week postpartum gynecological visits (June 2024-May 2025). Screening positive women (PHQ‑9 ≥5) was assessed by psychiatrists with MINI 7.0.2 semis-tructures interview within two weeks.
Sub-sample of women was further qualitative interviewed to contextualise lived experiences, care‑seeking behaviour, provided care and feasibility /acceptability of new care model. Quantitative analyses demonstrated that approximately 18% of Latvian postpartum women experience clinically significant depressive symptoms. Latvian‑specific cut‑off scores (EPDS ≥11; PHQ‑9 ≥8) were established, ensuring culturally and diagnostically appropriate clinical application.
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Multivariate analyses identified several robust risk factors (e.g., obstetric complications, pre-existing mental disorders, sleep disruption, prenatal stress), while practical family support emerged as a key protective factor. Qualitative findings illuminated substantial barriers to help‑seeking, including stigma, insufficient knowledge of available services, and systemic fragmentation.
Links
Where it is published
- Dataverse dataset page dataverse.rsu.lv/dataset.xhtml?persistentId=doi%3A10.48510%2FFK2%2FQGR5PM ↗
landing page · from dataverse rsu lv
- DOI doi.org/10.48510/fk2/qgr5pm ↗
DOI / persistent id · from dataverse rsu lv
Catalogue records · 1
- Dataverse API dataverse.rsu.lv/api/datasets/:persistentId/?persistentId=doi%3A10.48510%2FFK2%… ↗
metadata API · from dataverse rsu lv
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Midwifery 68%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Riga Stradins University dataverse | doi:10.48510/FK2/QGR5PM | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4204 | enrichment · dataverse rsu lv | taxonomy-embedding@1.1.0 | title+keywords+description (68%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| created_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| description | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /description |
| publication_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| title | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /name |
| updated_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| version_label | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 |