Características sócio-demográficas das puérperas e seguimento da gravidez: o que mudou em 17 anos?
Bibliographic record
Abstract
In recent years, the time for motherhood has been postponed, which is related to social aspects and can lead to health problems for the pregnant women and the child. An appropriate follow-up of the pregnancy is essential for identification and early treatment of possible complications. The purpose of this study was to evaluate some social and demographic characteristics and the pregnancy follow-up among puerperas, in two different times separated by 17 years (1991 e 2008). In this study, we found that the birth of a first child occurs now later, is more planned and happens more frequently outside of marriage. The postponement of motherhood can be associated with an increased rate of miscarriages. There has been a decrease in the rate of induced abortions, which is probably the result of the implementation of strategies for family planning. We noticed a decline in the number of pregnancies that had not a proper follow-up, demonstrating the improvement of health care. The immigrant population is responsible for about one quarter of the births in the Algarve, with a higher percentage of unplanned pregnancies, which eventually might be related to socio-economic vulnerabilities, but no difference was found in the surveillance of pregnancy, demonstrating a good accessibility of this population to health care. It is essential the existence of information about the risks of a late pregnancy and of social infrastructures to support motherhood at younger ages. Pregnancy surveillance programs have been successful, but there are still gaps in obstetric monitoring. Despite good results in terms of surveillance of pregnancy, the immigrant population may present some vulnerabilities, which means that their access to maternal and child health care should be monitored.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".