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New-Onset Mental Illness Among Gestational Carriers

2025· article· en· W4412653899 on OpenAlexaffabout
Maria P. Vélez, Natalie Dayan, Simone N. Vigod, William Buckett, Sydney B. Flatt, Jonas Shellenberger, Joel G. Ray

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsSt. Michael's HospitalUniversity of British ColumbiaWomen's College HospitalUniversity of TorontoMcGill UniversityInstitute for Clinical Evaluative SciencesMcGill University Health Centre
Fundersnot available
KeywordsMental illnessMedicinePsychiatryObstetricsPsychologyMental health

Abstract

fetched live from OpenAlex

Importance: Pregnancy is a period of increased vulnerability for psychological well-being. The mental health of gestational carriers is understudied. Objective: To study the association between gestational carriage and new-onset mental illness. Design, Setting, and Participants: This population-based, retrospective cohort study included all women from the entire province of Ontario, Canada, without known mental illness before pregnancy and who gave birth at greater than 20 weeks' gestation from April 1, 2012, to March 31, 2021. Data were analyzed from September 10, 2024, to May 23, 2025. Exposures: Gestational carriers were contrasted with non-gestational carriers who conceived unassisted (comparison 1) or by in vitro fertilization (IVF) (comparison 2). Main Outcomes and Measures: The main outcome was a diagnosis of new-onset mental illness based on 2 or more outpatient visits or 1 or more emergency department visit or hospital admission and occurring from the estimated date of conception up to a maximum follow-up date of March 31, 2024. Modified Poisson regression-generated incidence rate ratios (IRRs) adjusted for maternal age, income quintile, urban residence, obesity, smoking, parity, and chronic hypertension. Results: Of 767 406 eligible pregnancies in women (mean [SD] age, 30.5 [5.1] years), 748 732 (97.6%) were by unassisted conception, 17 916 (2.3%) by IVF, and 758 (0.1%) by gestational carriage. Gestational carriers were more likely than unassisted conception and IVF carriers to be parous (91.2% vs 57.9% and 34.1%, respectively), reside in a lower-income area (23.4% vs 21.9% and 12.1%, respectively), and have higher rates of obesity (36.1% vs 17.0% and 17.1%, respectively) and chronic hypertension (3.2% vs 1.6% and 2.9%, respectively). The median (IQR) follow-up was 4.5 (2.3-7.2) years. In comparison 1, new-onset mental illness occurred in 236 gestational carriers (6.9 per 100 person-years) vs 195 022 women with unassisted conception (5.2 per 100 person-years) (adjusted IRR, 1.43; 95% CI, 1.26-1.63). In comparison 2, new-onset mental illness occurred among 236 gestational carriers (6.9 per 100 person-years) and 4704 women receiving IVF (5.0 per 100 person-years) (adjusted IRR, 1.29; 95% CI, 1.13-1.47). Conclusions and Relevance: The findings of this cohort study suggest that gestational carriers were more likely to be diagnosed with mental illness during and after pregnancy. Mental health screening, counseling, and provision of support may be particularly important in this population.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.149
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.318
Teacher spread0.303 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes2
Has abstractyes

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