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Record W3126524123 · doi:10.1111/aogs.14109

Risk factors for postpartum depressive symptoms among fathers: A systematic review and meta‐analysis

2021· review· en· W3126524123 on OpenAlexafffund
Najmus Sehr Ansari, Jyotsna Shah, Cindy‐Lee Dennis, Prakesh S. Shah

Bibliographic record

VenueActa Obstetricia Et Gynecologica Scandinavica · 2021
Typereview
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsSt. Michael's HospitalUniversity of TorontoMount Sinai Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineMeta-analysisDepressive symptomsObstetricsPostpartum depressionPregnancyPsychiatryInternal medicineAnxiety

Abstract

fetched live from OpenAlex

Abstract Introduction The transition to parenthood is a major life change that may affect the mental well‐being of both mothers and fathers and place them at an increased risk for depression. The objective of our study was to systematically review the literature and identify factors associated with postpartum depressive symptoms in fathers. Material and methods Searches were conducted in PubMed, PsychInfo, Embase, and CINAHL to identify studies published until March 2020. Studies that reported factors associated with depression among fathers were included. The data from these studies were extracted independently by two authors with disagreements resolved by a third author and consensus. The odds ratio (OR) was used as a measure of association between the risk factor and the primary outcome: depression within the first 12 months following childbirth among fathers diagnosed using any method. Summary estimates were calculated using a random effects model. The associations between the risk factors and depressive symptoms were evaluated. Results The search identified 1040 reports. After screening titles and abstracts, 62 full‐text articles were assessed for eligibility and 25 studies involving 13 972 fathers were included in the systematic review. Fathers with a prior mental health illness episode had higher odds of developing depressive symptoms than those with no mental health history (eight studies, n = 3515, pooled OR 6.77, 95% CI 5.07–9.04; I 2 = 0%). Other significant risk factors included relationship dissatisfaction (eight studies, n = 6924, pooled OR 1.53, 95% CI 1.29–1.81; I 2 = 93%), maternal depression (seven studies, n = 6661, pooled OR 1.66, 95% CI 1.27–2.17; I 2 = 88%), financial instability (five studies, n = 3052, pooled OR 2.24, 95% CI 1.44–3.48; I 2 = 74%), paternal unemployment (three studies, n = 1505, pooled OR 6.61, 95% CI 1.94–22.54; I 2 = 59%), low education level (two studies, n = 1697, pooled OR 3.56, 95% CI 1.06–11.97; I 2 = 88%), and perceived stress (two studies, n = 692, pooled OR 1.06, 95% CI 1.02–1.11; I 2 = 5%). Lack of support and low parenting self‐efficacy were also associated with paternal postpartum depressive symptoms. Conclusions A history of paternal mental illness, maternal depression, and diverse psychosocial factors were associated with depressive symptoms among fathers postnatally. These findings can guide the development of family‐level interventions for early identification and treatment and social media campaigns to promote help‐seeking behaviors and engagement in preventive strategies.

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)0.011
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.030
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0170.026
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
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 head0.060
GPT teacher head0.361
Teacher spread0.301 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations99
Published2021
Admission routes2
Has abstractyes

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