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Record W2889131270 · doi:10.4088/jcp.17r12011

Maternal Anxiety During Pregnancy and the Association With Adverse Perinatal Outcomes

2018· review· en· W2889131270 on OpenAlexafffund
Sophie Grigoriadis, Lisa Graves, Miki Peer, Lana Mamisashvili, George Tomlinson, Simone N. Vigod, Cindy‐Lee Dennis, Meir Steiner, Cara Brown, Amy Cheung, Hiltrud Dawson, Neil A. Rector, Melanie Guenette, Margaret A. Richter

Bibliographic record

VenueThe Journal of Clinical Psychiatry · 2018
Typereview
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsSt. Michael's HospitalSt. Joseph’s Healthcare HamiltonToronto General HospitalUniversity of TorontoWomen's College HospitalHealth Sciences CentreSunnybrook Health Science Centre
FundersCanadian Institutes of Health Research
KeywordsMedicineOdds ratioAnxietyConfidence intervalObstetricsMeta-analysisBirth weightPregnancyCochrane LibraryLow birth weightMEDLINEGestational agePediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: This systematic review and meta-analysis examined the association between maternal antenatal anxiety (AA) and a range of perinatal outcomes. DATA SOURCES: Ovid MEDLINE, MEDLINE In-Process and Other Non-Indexed Citations, PsycINFO, CINAHL, Embase, and the Cochrane Library were searched to May 31, 2016, using controlled vocabulary and keywords (eg, prenatal, anxiety, preterm). STUDY SELECTION: Perinatal outcomes of women with and without AA (diagnosed or self-reported using validated scale) derived from English language, prospectively collected data were included. 1,458 abstracts were reviewed, 306 articles were retrieved, and 29 articles were included. DATA EXTRACTION: Two independent reviewers extracted data and assessed quality. Random-effects models were utilized for outcomes (≥ 3 studies). Subanalyses examined potential effect moderators including study quality and diagnostic versus self-reported anxiety among others. RESULTS: Antenatal anxiety was associated with increased odds for preterm birth (pooled odds ratio [OR] = 1.54; 95% confidence interval [CI], 1.39 to 1.70, 16 studies) and spontaneous preterm birth (OR = 1.41; 95% CI, 1.13 to 1.75), lower mean birth weight (mean difference = -55.96 g; 95% CI, -93.62 to -18.31 g), increased odds for low birth weight (OR = 1.80; 95% CI, 1.48 to 2.18), earlier gestational age (mean difference = -0.13 wk; 95% CI, -0.22 to -0.04 wk), increased odds for being small for gestational age (OR = 1.48; 95% CI, 1.26 to 1.74), and smaller head circumference (mean difference = -0.25 cm; 95% CI, -0.45 to -0.06 cm). Heterogeneity between studies was not significant for most outcomes. Subanalyses for birth weight found women with diagnosed anxiety had infants with significantly lower birth weight (P < .03) compared to those identified with rating scales (although both subanalyses were significant [P < .01]). Associations between anxiety and preeclampsia, cesarean delivery, and Apgar scores were nonsignificant. CONCLUSIONS: Antenatal anxiety is associated with multiple adverse perinatal outcomes and is not benign. The impact of treating anxiety on these associations is unknown.

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)0.009
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.032
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.019
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
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 head0.044
GPT teacher head0.404
Teacher spread0.361 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations391
Published2018
Admission routes2
Has abstractyes

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