The important role of physical activity in the prevention and management of gestational diabetes mellitus
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The actual pathophysiology behind gestational diabetes mellitus (GDM) is still unclear, but a deterioration in insulin resistance beyond that induced by pregnancy, combined with beta cell dysfunction, plays a key role. Interventions that help improve glucose tolerance by attenuating pregnancy-induced insulin resistance or achieve glycaemic control may therefore help in preventing and managing GDM. In non-pregnant populations, physical activity has been associated with an improvement in glucose homeostasis and insulin sensitivity and a risk reduction for type 2 diabetes mellitus (T2DM) and is a cornerstone for T2DM treatment. However, there is still controversy regarding the benefits of physical activity in preventing and managing GDM. The objective of this review is therefore to provide a comprehensive overview of the effect of prenatal physical activity-based interventions on (1) glucose tolerance, insulin sensitivity and GDM prevention and (2) glycaemic control and insulin use in GDM women. On the basis of the available literature, there is a lack of consistent evidence regarding the benefits of physical activity on improving glucose tolerance and insulin sensitivity and preventing GDM. However, it appears that physical activity may help to achieve good glycaemic control and limit insulin use in GDM women. Compliance appears to be a major problem in physical activity-based intervention studies aimed at GDM prevention. Rigorous scientific research is still required to make an informed decision about the role of physical activity in the prevention and management of GDM and to develop evidence-based physical activity guidelines for GDM prevention and management.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it