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Prenatal alcohol exposure – a systematic review of the effects on child motor function

2010· review· en· W1820861234 on OpenAlexaboutno aff
Bjørn Bay, Ulrik Schiøler Kesmodel

Bibliographic record

VenueActa Obstetricia Et Gynecologica Scandinavica · 2010
Typereview
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePrenatal alcohol exposureMotor functionPrenatal exposureAlcoholMotor activityPregnancyEnvironmental healthObstetricsGestationPhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To systematically review the available evidence on the effects of prenatal alcohol exposure on motor function in humans. DESIGN: Systematic review. POPULATION: Pregnant women and their offspring. METHODS: The search strategy included Medline, Embase, The Cochrane Library and Scopus. The authors read titles and abstracts, and the articles that met the predefined criteria for inclusion were obtained and the full text read. The articles were assessed for quality using the Newcastle-Ottawa Quality Assessment Scale. MAIN OUTCOME MEASURES: Motor function measured on standardized or validated tests. RESULTS: The search resulted in 311 titles and abstracts, of which 39 were found relevant for inclusion. The findings of this review suggest a negative effect when the maternal consumption exceeded a certain level. Of all studies reporting a maternal intake of more than four drinks/day, only one study showed no effect on motor function, and of all studies reporting intake levels of less than 10 drinks/week, only one study showed deficit on the children's motor function. CONCLUSIONS: While it appears consistent that high daily alcohol intake is associated with deficits in gross and fine motor function, and low weekly intake is not associated with such deficits, the issue of binge drinking is unsettled.

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)0.040
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.117
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
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 head0.016
GPT teacher head0.288
Teacher spread0.272 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
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

Citations66
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueActa Obstetricia Et Gynecologica ScandinavicaSame topicPrenatal Substance Exposure EffectsFrench-language works237,207