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Record W1998579664 · doi:10.5172/conu.2010.34.2.199

Paternal postpartum depression: How can nurses begin to help?

2010· article· en· W1998579664 on OpenAlexaff
Sherri Melrose

Bibliographic record

VenueContemporary Nurse · 2010
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsAthabasca University
Fundersnot available
KeywordsPostpartum depressionDepression (economics)NursingPsychologyMedicinePregnancyBiology

Abstract

fetched live from OpenAlex

Men's emotional health can be overlooked during their partner's pregnancy and throughout the first postpartum year. Postpartum depression, once expected only in new mothers, is now estimated to occur in 4-25% of new fathers as well. The incidence of paternal postpartum depression is greater in couples where maternal postpartum depression is also present. Paternal postpartum depression can be difficult to assess. New fathers may seem more angry and anxious than sad. And yet, depression is present. When left untreated, paternal postpartum depression limits men's capacity to provide emotional support to their partners and children. This article reviews the incidence and prevalence of paternal postpartum depression, comments on tools to measure the disorder, identifies paternal behaviors that may indicate depression, examines the effects of parental depression on families and discusses what nurses can do to begin to help.

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)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.005
Open science0.0010.002
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0050.002

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 head0.023
GPT teacher head0.300
Teacher spread0.276 · 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 designQualitative
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

Citations80
Published2010
Admission routes1
Has abstractyes

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