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Record W2608204340 · doi:10.14740/jocmr3035w

Screening for Depressive and Anxiety Symptoms During Pregnancy and Postpartum at a Japanese Perinatal Center

2017· article· en· W2608204340 on OpenAlexvenueno aff
Shunji Suzuki, Masako Eto

Bibliographic record

VenueJournal of Clinical Medicine Research · 2017
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
Fundersnot available
KeywordsPregnancyAnxietyMedicineDepressive symptomsObstetricsDepression (economics)Center for Epidemiologic Studies Depression ScalePostpartum depressionPostpartum periodPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: We examined the current status of depressive and anxiety symptoms in Japanese women during pregnancy and postpartum. METHODS: We asked 220 Japanese women who gave birth to singleton babies at term to answer the two self-administered questionnaires (Whooley's two questions and two-item generalized anxiety disorder scale) at first, second and third trimester of pregnancy and 1 month after delivery. RESULTS: The rates of women with depressive symptoms were common during the first trimester of pregnancy (25%) and the postpartum (17%), while the women with anxiety symptoms were common during the first trimester of pregnancy (36%). Eight percent women had histories of mental disorders, and 95% of them showed depressive and/or anxiety symptoms somewhere during pregnancy. Of the women who had depressive symptoms during postpartum, 86% showed depressive and/or anxiety symptoms somewhere during pregnancy. CONCLUSION: Screening for depressive and anxiety symptoms during pregnancy was suggested to be useful to detect high risk women of postpartum depression.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.040
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.156
GPT teacher head0.503
Teacher spread0.347 · 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

Citations25
Published2017
Admission routes1
Has abstractyes

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