Gestational weight gain and long-term postpartum weight retention
Bibliographic record
Abstract
Background: Excessive gestational weight gain is related to postpartum weight retention and multiple short- and long-term adverse outcomes. These include pregnancy related complications as preeclampsia and higher rates of cesarean delivery and long-term morbidities as future obesity and metabolic syndrome. Even so, more than half of the pregnant women gain excessive weight during their pregnancy. Methods: This review included a database search of Medline, ClinicalKey, PubMed, PubMed Central, Scopus, Ovid, and the Cochrane Database of Systemic Reviews. We included original articles, systematic reviews and meta-analysis published in peer-reviewed journals between January 1990 and October 2020 that addressed the correlation between excessive gestational weight gain, postpartum weight retention and maternal health issues. Only articles published in the English language that were available at full length, were included in this review. Results and discussion: After reviewing the literature, we discuss the risk factors for excessive gestational weight gain, the association between excessive gestational weight gain and postpartum weight retention and the implications of excessive gestational weight gain on women’s future health. Finally, we highlight future research opportunities related to these issues.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".