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Record W4385580763 · doi:10.1186/s40359-023-01244-w

Early intervention to prevent adverse child emotional and behavioural development following maternal depression in pregnancy: study protocol for a randomised controlled trial

2023· article· en· W4385580763 on OpenAlexaff
Jeannette Milgrom, Yafit Hirshler, Charlene Holt, Helen Skouteris, Megan Galbally, Christine East, Vivette Glover, John Reece, Kieran J. O’Donnell, Susan Walker, Shannon Malloy, Alan W. Gemmill

Bibliographic record

VenueBMC Psychology · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsMcGill University
FundersNational Center for Advancing Translational SciencesMedical Research CouncilNational Health and Medical Research CouncilAustin Medical Research Foundation
KeywordsCBCLRandomized controlled trialChild Behavior ChecklistAnxietyEdinburgh Postnatal Depression ScalePsychologyDepression (economics)Clinical psychologyChild developmentAntenatal depressionPsychiatryPregnancyPediatricsMedicineDepressive symptoms

Abstract

fetched live from OpenAlex

BACKGROUND: Substantial evidence indicates that maternal depression during pregnancy (i.e., antenatal depression) is associated not only with maternal wellbeing but also with child emotional and behavioural development. Children of antenatally depressed women are at risk of emotional and behavioural problems, including internalising problems (e.g., anxiety and depression) and externalising problems (e.g., attention problems), that may last at least to adolescence. These enduring effects also constitute an enormous economic cost. Despite the seriousness of this problem, until recently there existed very few controlled studies evaluating whether active psychological treatment for antenatal depression can prevent adverse child outcomes. Our previous pilot randomised controlled trial (RCT) exploring the effect of cognitive behavioural therapy (CBT) for antenatal depression on child outcomes showed promising results. We aim to assess whether treating antenatal depression with an evidence-based 8-week structured CBT program can prevent or ameliorate adverse child developmental outcomes at 2 years of age. METHODS: Pregnant women ≤ 30 weeks gestation diagnosed with a depressive disorder are recruited and randomised to CBT or treatment as usual (TAU). The target sample size is 230 and the primary outcome measure is the infant Internalising scale of the Child Behaviour Checklist (CBCL) at 24 months of age. Secondary infant outcome measures at 24 months are the Externalising scale of the CBCL and the motor and cognitive development subscales of the Ages & Stages Questionnaire (ASQ-3). Additional secondary outcome measures are subscales of the Revised Infant Behaviour Questionnaire (IBQ-R), ASQ-3 and the ASQ-Socio-Emotional (ASQ-SE) at 3 and 12 months of age and the quality of mother-infant interaction at 3 and 24 months. Maternal measures, including demographic data, depression diagnosis, depressive and anxiety symptoms, perceived stress and parenting stress, are collected across all time points. DISCUSSION: The trial is ongoing and recruitment was slowed due to the COVID-19 pandemic. If results suggest a beneficial effect of antenatal depression treatment on infant outcomes, the project could have repercussions for standard antenatal care, for maternal and infant health services and for preventing the intergenerational transmission of mental health disorders. TRIAL REGISTRATION: Australia and New Zealand Clinical Trials Register: ACTRN12618001925235 Date Registered: 27 November 2018.

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)0.001
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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.539

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.062
GPT teacher head0.419
Teacher spread0.357 · 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 designRandomized trial
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

Citations4
Published2023
Admission routes1
Has abstractyes

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