Plasma total antioxidant capacity and its related factors in Iranian pregnant women.
Bibliographic record
Abstract
OBJECTIVE: To determine the plasma total antioxidant capacity (TAC) and its related factors in pregnant Iranian women attending maternity clinics. METHODS: In a cross-sectional study carried out in Naghavi Maternity Clinic, Shaheed Beheshti Specialty and Subspecialty Polyclinic and 10 antenatal centers, affiliated to Kashan University of Medical Sciences, Kashan, Iran, we determined the plasma TAC and its related factors including maternal age, weight, and body mass index (BMI) at the beginning, thirteenth, and twenty-first to twenty-fourth weeks of pregnancy, and gestational age at the twenty-first to twenty-fourth weeks of pregnancy in 137 primigravid pregnant women, 18-30 years old from October 2010 to March 2011. We used multiple linear regression to assess the relationship between TAC and its related factors. RESULTS: Plasma TAC in the twenty-first to twenty-fourth weeks of pregnancy was 0.75+/-0.11 mmol/l. The BMI at the beginning was 25.06+/-4, 25.72+/-4.13 at the thirteenth, and 26.95+/-4.19 kg/m2 at the twenty-first to twenty-fourth weeks of pregnancy. Multiple regression analysis showed that gestational age was inversely associated with the plasma TAC (beta: -0.234, p=0.007). Regression analysis also suggested a trend toward significant association between maternal age and plasma TAC (beta: 0.150, p=0.080), but there was no association between other variables and plasma TAC. CONCLUSION: Gestational age was inversely correlated with plasma TAC and maternal age had a trend toward significant association with TAC in 18-30 year-old Iranian pregnant women in their sixth month of 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 | 0.001 |
| 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 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".