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Record W4409670496 · doi:10.1016/j.jadr.2025.100926

The impact of prenatal maternal depression, during the COVID-19 pandemic on maternal postpartum depression: A prospective cohort study within the conception study

2025· article· en· W4409670496 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Affective Disorders Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersFaculté de pharmacie, Université de Montréal
KeywordsPandemicDepression (economics)Coronavirus disease 2019 (COVID-19)Prospective cohort studyMedicineCohort study2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PregnancyCohortPsychiatryObstetricsVirologyInternal medicineDiseaseOutbreakBiology

Abstract

fetched live from OpenAlex

• >40 % of participants reported possible to probable prenatal depression. • Almost 40 % of participants reported possible to probable postpartum depression. • Risk of postpartum depression increased with the severity of prenatal depression. • Risk of postpartum depression increased with prenatal stress and being nulliparous. The COVID-19 pandemic introduced unprecedented disruptions impacting perinatal mental health. We aimed to quantify the association between prenatal depression (PD) and postpartum depression (PPD), within this context. Data were collected from Canadian pregnant individuals (aged≥18) through web-based questionnaires. Individuals who completed both a baseline questionnaire (06/2020 to 12/2021) and the 2-month postpartum follow-up, were included. PD was assessed with the Edinburgh Postnatal Depression Scale (EPDS), categorized as unlikely (EPDS 0–8), possible (9–11), highly possible (12–13), and probable (EPDS≥14). PPD was assessed at 2 months postpartum also using EPDS, and categorized as unlikely (EPDS 0–8), possible to probable (EPDS≥9). Self-reported data on sociodemographics, comorbidities, gestational age, anxiety (General Anxiety Disorder-7), stress, maternal hardship (CONCEPTION Assessment of Stress from COVID-19) were collected. We used a multivariate Poisson regression model to calculate relative risks (RRs) with 95 % confidence interval (CI) to assess the risk of PPD associated with PD. Among 1247 participants, 57.9 % had unlikely PD, 17.1 % possible PD, 9.3 % highly possible PD, 15.7 % probable PD. The overall prevalence of PPD was 39.5 %. Possible PD increased PPD risk (aRR 1.56, 95 % CI 1.18 – 2.05); Highly possible PD further heightened the risk (aRR: 2.24, 95 % CI 1.65 – 3.04); and the highest risk for probable PD (aRR 2.29, 95 % CI 1.66 – 3.15). PPD risk also increased with prenatal stress (aRR 1.07; 95 % CI 1.01 – 1.13) and nulliparity (aRR 1.26, 95 % CI 1.04 – 1.54). Addressing prenatal depression, especially during crises, is crucial to reduce PPD risk and improve maternal and child health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.345
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it