Body Composition of Women with Newborns Who Are Small for Gestational Age
Bibliographic record
Abstract
BACKGROUND: The relationship between maternal and placental hemodynamic disorders and fetal growth is well known, but few studies have evaluated a link between maternal extracellular water (EW) and newborn birth weight. OBJECTIVE: To identify the characteristics of body composition (BC) of women with small for gestational age (SGA) newborns, and to determine the relationship between maternal EW and birth weight of the baby. METHODS: We studied maternal BC using multifrequency bioelectric impedance in the second and third trimesters of pregnancy. Newborns with weight below the 10th percentile were classified as SGA; those with weights between the 10th and 90th percentiles as appropriate for gestational age (AGA), and large for gestational age (LGA) were those with weights above the 90th percentile. RESULTS: We studied 460 women and their BC varied depending on whether their newborns were SGA, AGA or LGA. EW was lower in the mothers of SGA (11 +/- 2 l) compared to AGA (12 +/- 3 l) newborns (p < 0.01). We identified a significant relationship (p < 0.01) between maternal EW in the second trimester and the weight of the newborn, beta = 43 (95% CI 27-58). CONCLUSION: BC of women whose newborns are SGA differs significantly from that of women whose newborns are AGA, a result which suggests that the mothers of SGA infants may have a disordered hemodynamic state during the second trimester of pregnancy.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".