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Record W2245792549

The Association Of Antenatal Mental Health And Obstetric Interviews

2013· article· en· W2245792549 on OpenAlexaffvenueabout
Charleen Salmon

Bibliographic record

VenueJournal of undergraduate research in Alberta · 2013
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePsychological interventionMental healthAnxietyEdinburgh Postnatal Depression ScalePregnancyLogistic regressionDepression (economics)Psychiatry
DOInot available

Abstract

fetched live from OpenAlex

Introduction The literature is inconsistent regarding the association of antenatal mental health and obstetric interventions [1]. Results of two systematic reviews on this topic indicated that this inconsistency may be due to the use of different scales and small sample sizes and that studies with large sample sizes may contribute to understand these associations [1, 2]. The aim of this study was to investigate the following question what are the association between antenatal anxiety and depression and obstetric interventions including mode of delivery, pain management, induction, and instrumental delivery among a community sample of pregnant women in Alberta? Methods This study is a secondary analysis of data from the All Our Babies (AOB) study, a community-based longitudinal study in Calgary, Alberta [3]. The participants in this study were women with singleton pregnancies who had medical chart data (N=2,665). Mental health data was derived from questionnaires filled out in the 2 nd trimester and 3 rd trimester of pregnancy. Anxiety was measured by Spielberger State Anxiety Inventory (SAI) and depression by Edinburgh Postnatal Depression Scale (EPDS). Obstetric data including pain management, induction and instrumental deliveries were derived from the medical chart. Mode of delivery data was derived from self-report questionnaires.  Bivariate associations between obstetric interventions and demographic, obstetric, and mental health variables were examined. Using separate logistic regression models, associations between obstetric interventions and mental health were assessed while controlling for demographic and obstetric variables. Results The majority of participants were married or common-law (95.5%) and Caucasian (79.6%), and had household incomes of $80,000 or more (71.6%). At the bivariate level, mode of delivery was associated with anxiety and depression; no association was found between other obstetric interventions and antenatal depression and anxiety. Controlling for marital status, income, ethnicity, hospital delivery setting, gestational age, previous history of caesarean, pre-pregnancy BMI, assisted conception, and antepartum risk score in logistic regression, we found no association between most obstetric intervention and antenatal mental health; However, women with depressive symptoms in the third trimester were twice more likely to have emergency caesareans without labour compared to women without depressive symptoms (p=0.042). Conclusion In general, the data shows that there is no relationship between antenatal mental health and obstetric outcomes. Limitations of this study include the exclusion of women for whom medical chart data were not available and the reliance of self-report questionnaires for determining mental health. However, strengths of this study include access to a large sample size and controlling for several demographic and obstetric variables. Further research into this area is needed to verify these results.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.314

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.053
GPT teacher head0.382
Teacher spread0.329 · 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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Citations0
Published2013
Admission routes3
Has abstractyes

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