6th World Congress on Developmental Origins of Health and Disease
Bibliographic record
Abstract
Objective: To evaluate in 5 year-old Chilean children the relationship among birth weight, birth order and intelligence quotient (IQ) controlling the effect of maternal variables. Methods: In a representative sample of 250 Chilean preschool children enrolled in a state child care program 1 (birth weight .2500 g), we obtained birth weight (BW) and length (BL), maternal age (MA), mother's educational level (ME) and birth order (BO) from official registries. At 5 years, children were evaluated with the Intelligence Wechsler Scale (IQ) WPPSI-R by a trained psychologist. Variables were analysed as continuous and categorical; if not normally distributed, non-parametric statistics were used; uni and multivariate analysis were done. After ethical approval by INTA 0 s ethics committee, informed consent was obtained from parents. Results: 49.6% were girls, average BW was 3,412 6 454 g, (17% >2500 to 3000 g, 71% .3000 to 4000 g, 12% .4000 g; BL was 49.8 6 1.7 cm, no stunting at birth (1.6% ,2 SD HAZ, WHO 2006); IQ was 92 6 9 score, with differences by BW categories; ME (17% high, 45% middle and 36% basic); and BO (38% first, 33% second and 29% third or greater) (p , 0.001). Linear regression showed that these associations were stronger in adjusted models, BW explained 9% (R 2 ) of variability in IQ. Interaction between BW and BO was tested (p , 0.05). Conclusions: This study provides evidence that the relationship between BW and IQ score is dependent on BO and that a high BW does not condition higher IQ. We confirmed that a healthy birth weight in terms of intellectual development at 5y is 3000-4000 g. Our results suggest that in low income families, the position a child holds within his/her family plus favorable nutritional status at birth, are important to maximize mental development. In countries with high prevalence of both macrosomic and low birth weight babies interventions aimed at achieving healthy weights at birth are particularly relevant. Support: Fondecyt # 1060785 and JUNAEB. Adjusted IQ score for all BW categories of and BO are shown in Fig 1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".