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Record W2034548676 · doi:10.1089/jwh.2011.2842

Cesarean Section and Postpartum Depression in a Cohort of Chinese Women with a High Cesarean Delivery Rate

2011· article· en· W2034548676 on OpenAlexafffund
Ri‐hua Xie, Jun Lei, Shuhong Wang, Haiyan Xie, Mark Walker, Shi Wu Wen

Bibliographic record

VenueJournal of Women s Health · 2011
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of OttawaOttawa Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineEdinburgh Postnatal Depression ScalePostpartum depressionObstetricsCesarean deliveryDepression (economics)Prospective cohort studyVaginal deliveryCohort studyConfoundingCohortMaternal morbidityPregnancyGynecologyDepressive symptomsSurgeryPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Whether or not cesarean delivery is associated with increased risk of postpartum depression (PPD) remains unclear. METHODS: We carried out a prospective cohort study between February and September 2007 in Hunan Maternal and Infant Hospital and the First Affiliated and Third Affiliated Hospitals of the Central South University in Changsha, Hunan, People's Republic of China. The Chinese version of the Edinburgh Postnatal Depression Scale (EPDS) was used at 2 weeks postpartum to assess PPD, with a score of ≥13 as the cutoff for PPD. RESULTS: A total of 534 women were included in the final analysis, with 415 (77.7%) delivering by cesarean section (the majority of them with no medical indication). The rate of PPD was 21.7% in women who had a cesarean delivery and 10.9% in women who delivered vaginally. The increased risk of PPD in women who had cesarean sections was maintained after we adjusted for potential confounding factors or considered cesarean delivery by social indications. CONCLUSIONS: Cesarean section is associated with increased risk of PPD in Chinese women with a high cesarean delivery rate.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.017
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.265
Teacher spread0.253 · 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.

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

Citations75
Published2011
Admission routes2
Has abstractyes

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