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Paternal Perinatal Depression, Anxiety, and Stress and Child Development

2025· article· en· W4411329712 on OpenAlexaff
Genevieve Le Bas, Stephanie R. Aarsman, Alana Rogers, Jacqui A. Macdonald, Gessica Misuraca, Sarah Khor, Elizabeth Spry, Larissa Rossen, Emmelyn Weller, Kayla Mansour, George J. Youssef, Craig A. Olsson, Samantha Teague, Delyse Hutchinson

Bibliographic record

VenueJAMA Pediatrics · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsTrinity Western UniversityWestern University
Fundersnot available
KeywordsMedicineAnxietyOffspringPsycINFOCINAHLMental healthAntenatal depressionMeta-analysisCohort studyDistressClinical psychologyMEDLINEPsychiatryPregnancyPsychological interventionInternal medicineDepressive symptoms

Abstract

fetched live from OpenAlex

Importance: This systematic review and meta-analysis comprehensively synthesizes the extant literature on the association of paternal perinatal mental distress (ie, depression, anxiety, and stress) with offspring development from birth to adolescence. Objective: To provide a meta-analytic synthesis of the literature on the association between paternal perinatal depression, anxiety, and stress and offspring development during the first 18 years of life. Data Sources: We searched MEDLINE Complete, Embase, PsycINFO, CINAHL Complete, and the gray literature for studies published up to November 2024. Study Selection: Inclusion criteria included availability in English, a human sample, quantitative data, longitudinal design, and having a measure of paternal perinatal mental distress and offspring development. Data Extraction and Synthesis: Of the 9572 studies identified, 48 cohorts (from 84 studies) with 674 effect sizes met criteria for quantitative synthesis (including 286 unpublished associations sourced from doctoral theses or through contact with authors of eligible studies). Univariate random-effects models were used to quantitatively synthesize the associations between paternal perinatal mental distress and offspring development. Study quality was assessed using the US National Institutes of Health quality assessment tool for observational, cohort, and cross-sectional studies. Data analysis was completed in January 2025. Main Outcomes and Measures: The primary outcomes were global, social-emotional, adaptive, cognitive, language, physical, and motor development in offspring in the first 18 years of life. Results: Paternal perinatal mental distress was associated with poorer global (r = -0.12; 95% CI, -0.22 to -0.01), social-emotional (r = 0.09; 95% CI, 0.07-0.11), cognitive (r = -0.07; 95% CI, -0.13 to -0.01), language (r = -0.15; 95% CI, -0.25 to -0.05), and physical development (r = 0.04; 95% CI, 0.00-0.08) in offspring. No evidence was found for adaptive and motor outcomes. Associations were generally stronger for postnatal than antenatal mental distress, suggesting that a father's mental state may exert a more direct influence on the developing child after birth. Conclusions and Relevance: Evidence from this systematic review and meta-analysis indicates that paternal mental distress is a potentially modifiable predictor of child development. Reducing mental distress in fathers perinatally is thus an important target for preventative interventions aiming to support fathers during the transition to parenthood and promote the health and well-being of next-generation offspring.

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)0.041
metaresearch head score (Gemma)0.147
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.147
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0090.015
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.261
Teacher spread0.254 · 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".

Quick stats

Citations23
Published2025
Admission routes1
Has abstractyes

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