Movement Behavior during Pregnancy and Adverse Maternal–Fetal Outcomes in Women with Gestational Diabetes: A Pilot Case-Control Study
Bibliographic record
Abstract
Gestational diabetes mellitus (GDM) is a major complication in pregnancy. GDM is associated with a higher risk for adverse maternal–fetal outcomes. Associations between movement behavior, including physical activity (PA) and sedentary behavior (SB), and maternal–fetal outcomes are still unclear. The objective of this study was to investigate associations between movement behavior and adverse maternal–fetal outcomes in women with GDM. A total of 68 women with GDM (20–35 weeks, 32.1 ± 5.8 years) were included in this pilot case-control study. The cases were defined by the presence of an adverse composite maternal–fetal outcome (preterm birth, newborn large for gestational age, and neonatal hypoglycemia). Controls were defined as no adverse maternal–fetal outcome. PA intensities and domains, steps/day (pedometer), and SB were analyzed. A total of 35.3% of participants showed adverse maternal–fetal outcomes (n = 24). The controls showed a higher moderate-intensity PA level than the cases (7.5, 95%CI 3.6–22.9 vs. 3.1, 95%CI 0.4–10.3 MET-h/week; p = 0.04). The moderate-intensity PA level was associated with a lower risk for adverse maternal–fetal outcomes (OR 0.21, 95%CI 0.05–0.91). No significant associations were observed for other PA and SB measures (p > 0.05). In conclusion, moderate-intensity PA during pregnancy seems to have a protective role against adverse maternal–fetal outcomes in women with GDM.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".