Avaliação nutricional de gestantes sob acompanhamento em serviços de pré-natal distintos: a região metropolitana e o ambiente rural
Bibliographic record
Abstract
OBJECTIVE: To determine differences in some nutritional aspects of pregnant women assisted at prenatal care services in a country town and in a metropolitan area. METHODS: Pregnant women received prenatal care in the city of Belo Horizonte (BH), metropolitan area, and Paula Cândido (PC), a country town. A Food Frequency Questionnaire (FFQ) containing socioeconomic information and information about eating habits was applied. In addition,weight and height were measured on the occasion of the visits and the women were ask to give their prepregnancy weight for subsequent BMI calculation. Data were analyzed according to region and trimester of pregnancy using the SPSS software version 15.0, the t-test to compare averages and the chi-square test of independence, with the level of significance set at 5%. RESULTS: 240 pregnant women were included, 90 from the country town and 150 from the metropolitan area. Of these, most were married (BH = 56.6%; PC = 46.6%) and did not work outside the home (BH = 54.0%; PC = 84.4%). They predominantly had 3-4 meals/ day during the 1st and 2nd quarters (BH = 54.0 and 46%; PC = 66.7 and 63.3%, respectively) and had 5-6 meals/day during Q3 in BH (44%). There was significant weight gain only in the 1st quarter (BH: 58,0%; PC: 53.3%). Weight gain versus eating habits was significant for the variables "lunch or dinner away from home" for the 1st quarter in BH (p = 0.006), "How many times they consume milk" in the 1 st quarter in PC (p = 0.03), and "How many times they consume junk food" in the 3rd quarter in BH (p = 0.009). CONCLUSIONS: Pregnant woman showed proper eating habits in both regions despite the prevalence of pregestational overweight in BH and a low level of education and income, especially in the country town, an indicator that may be unfavorable for the nutrition of pregnant women during this period. Studies of association between eating habits and newborn health will provide more information about nutrition during 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".