The Effects of Prenatal Vitamin Supplementation on Operationally Significant Health Outcomes in Female Air Force Trainees
Bibliographic record
Abstract
OBJECTIVES: A prenatal vitamin supplementation program for female basic military trainees at Joint Base San Antonio-Lackland was initiated in June 2012 with the goals of decreasing attrition and improving performance. This project examined whether supplementation influences attrition rates, incidence of stress fractures and iron deficiency anemia, and physical performance. METHODS: This was a cohort-based pilot study with an historical control group. Primary outcome measures included all-cause attrition, medical attrition, stress fractures, and iron deficiency anemia. RESULTS: Incidence rates of all-cause attrition, medical attrition, stress fractures, and anemia were similar in both groups, although the lower medical attrition in the supplementation group approached statistical significance (risk ratio, 0.74; 95% confidence interval, 0.54-1.01). CONCLUSION: Although this study found no statistical benefit, the operationally significant reduction in medical attrition of 26% suggests that providing prenatal vitamin supplementation to female basic trainees in the Air Force may be worthwhile.
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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 | 0.002 | 0.001 |
| 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".