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Record W2887313365 · doi:10.1002/dev.21767

A trajectory analysis of childhood motor development following stress in pregnancy: The QF2011 flood study

2018· article· en· W2887313365 on OpenAlexafffund
Gabrielle Simcock, David P. Laplante, Guillaume Elgbeili, Sue Kildea, Suzanne King

Bibliographic record

VenueDevelopmental Psychobiology · 2018
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
FundersCanadian Institutes of Health Research
KeywordsGross motor skillMotor skillPsychologyPregnancyDevelopmental psychologyChild developmentFlood mythGestational ageCohort studyCohortMedicine

Abstract

fetched live from OpenAlex

This prospective, longitudinal cohort study examined the effects of flood-related stress in pregnancy on the trajectory of children's motor development; and the moderating effects of gestational timing of the flood or sex of the child. Women who were pregnant during a severe flood reported on their objective flood-related experiences, emotional reactions, and cognitive appraisal of the disaster. At 2-, 6-, 16-months, 2½- and 4-years postpartum, mothers' assessed their children's fine and gross motor development using the Ages and Stages-3 Questionnaire. High objective flood-exposure, or a negative appraisal, especially in later pregnancy, predicted poorer gross motor skills which rapidly improved across early childhood. Children's fine motor skill was influenced by the sex of the child with improvements in girls' fine motor skills over time, but not boys'. This demonstrates that stress in pregnancy has enduring influences on gross, but not fine, motor skills. Results are discussed in relation to fetal programming and stress appraisal theory.

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)0.000
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 score0.014
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.313
Teacher spread0.288 · 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

Citations21
Published2018
Admission routes2
Has abstractyes

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