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Record W2953081445 · doi:10.1093/cdn/nzz034.or10-03-19

Associations of Nutritional and Social Exposures in Utero, Early, and Later Childhood with Cognitive, Motor, and Social-Emotional Development in Indonesia (OR10-03-19)

2019· article· en· W2953081445 on OpenAlexaboutno aff
Elizabeth L. Prado, Susy Katikana Sebayang, Siti Robiatul Adawiyah, Benyamin Harefa, Katie Alcock, Michael T. Ullman, Husni Muadz, Anuraj H. Shankar

Bibliographic record

VenueCurrent Developments in Nutrition · 2019
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsIn uteroPediatricsSmall for gestational ageMedicineChild developmentGestational ageEarly childhoodDemographyCognitionPsychologyPregnancyDevelopmental psychologyPsychiatryFetus

Abstract

fetched live from OpenAlex

To determine the association of biomedical and socio-environmental risk factors during pregnancy, early, and later childhood with cognitive (IQ), motor, social-emotional (SE), and executive function (EF) at age 3.5 and 9–12 y in Indonesia. Children born to pregnant women enrolled in the Supplementation with Multiple Micronutrients Intervention Trial (SUMMIT) in 2001–2004 participated in follow-up studies at age 3.5 y in 2006 and 9–12 y in 2013. We assessed 359 children at both time points for outcomes of IQ, motor, SE and EF. We also assessed predictors of outcomes including biomedical risks (small for gestational age at birth: SGA; height-for-age z-score: HAZ; and child hemoglobin: Hb) and socio-environmental risks (HOME Inventory; maternal depression: MD). We calculated the residuals of earlier risks predicting the later scores, e.g., the residual of SGA at birth predicting HAZ at 3.5 y (rHAZ1), representing the deviation of HAZ at 3.5 y from the child’s expected HAZ based on SGA. In Model 1, we entered SGA, representing in utero exposures. In Model 2, we added indicators at 3.5 y (rHAZ1, Hb, HOME, MD). In Model 3, we added indicators at 9–12 y (rHAZ2, rHb, rHOME, rMD) and the corresponding 3.5 y IQ, motor, SE, or EF scores. The coefficients for outcomes at early and later time points (Figure 1) show that SGA was not associated with any scores. Early (3.5 y) childhood rHAZ1 was associated with early IQ, motor, and EF, but was not independently associated with later (9–12 y) IQ, motor, or EF. Later childhood rHAZ2 was not associated with any scores. Early childhood HOME was independently associated with both early and later IQ, motor, and EF, while later childhood rHOME was not associated with any scores. Early Hb was not associated with any scores and later rHb was associated with motor scores only. MD during early childhood and rMD during later childhood were independently associated with later childhood SE. These findings support the importance of early and continual intervention throughout childhood to support healthy growth and even more importantly maternal mental health and nurturing home environments. This is essential for longer-term IQ, motor, SE, and EF. Grand Challenges Canada, Allen & Turner Foundations, UNICEF, Centre for Health and Human Development, USAID-Indonesia, USDA NIFA #CA-D-NTR-2493-H.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.299
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; 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 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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