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Record W6995684783

Perinatal trauma with and without loss experiences

2016· article· en· W6995684783 on OpenAlexaboutno aff

Bibliographic record

VenueCoventry University Open Collections (Coventry university) · 2016
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthBirth traumaAgoraphobiaMental illnessPsychological traumaRisk factorSocial support
DOInot available

Abstract

fetched live from OpenAlex

Objective: The present study explored differences in mental health between women who experienced a trauma which involved a loss of fetal or infant life compared to women whose trauma did not involve a loss (difficult childbirth). Method: The sample consisted of 144 women (mean age = 31.13) from the UK, USA/Canada, Europe, Australia/New Zealand, who had experienced either stillbirth, neonatal loss, ectopic pregnancy, or traumatic birth with a living infant in the last 4 years. Results: The trauma without loss group reported significantly higher mental health problems than the trauma with loss group (F (1,117) = 4.807, p = .03). This difference was observed in the subtypes of OCD, panic, PTSD and GAD but not for major depression, agoraphobia and social phobia. However, once previous mental health diagnoses were taken into account, differences between trauma groups in terms of mental health scores disappeared, with the exception of PTSD symptoms. Trauma groups also differed in terms of perceived emotional support from significant others. Conclusion: The findings illustrate the need for a change in the focus of support for women’s birth experiences and highlighted previous mental health problems as a risk factor for mental health problems during the perinatal period.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.709
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.273
Teacher spread0.248 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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