Nutritional influences on maternal autonomic function during pregnancy
Bibliographic record
Abstract
The objective of this study was to identify influences on longitudinal changes in autonomic function during pregnancy. We studied 195 low-income Peruvian women who were subjects in a randomized controlled trial of zinc supplementation and fetal neurobehavioral development. Maternal cardiorespiratory status and electrodermal activity were assessed at 20, 24, 28, 32, 36, and 38 weeks' gestation over a 50-min session. At baseline (10-16 weeks), and at 28 and 36 weeks' gestation, mass and height, arm and calf circumferences, and skinfold thicknesses were assessed, and blood was taken to measure hemoglobin, hematocrit, and plasma zinc concentration. Measures of heart period (HP), respiratory period (RP), respiratory sinus arrhythmia (RSA), skin conductance level (SCL), and mean arterial pressure (MAP) were analyzed using longitudinal models. Having a hemoglobin concentration <10.5 g.dL-1 at 28 weeks was associated with shorter HP and RP and lower RSA, and change in hemoglobin from baseline to 36 weeks was associated with decreased SCL. Further, 3 measures were associated with variation in fat or fat-free mass in the calf; RSA was negatively associated with changes in calf muscle area over pregnancy, while changes in calf fat area were positively associated with MAP and SCL. Variability in autonomic function during the second half of pregnancy is associated with hematologic status and changes in lower limb body composition across pregnancy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".