Are physical activity and exercise associated with cardiometabolic health in early pregnancy
Bibliographic record
Abstract
Background: Physical activity (PA) is an important component of a healthy pregnancy and has consistently been associated with improved weight management and a reduced risk of pregnancy complications. While the percentage of pregnant women meeting PA guidelines internationally is alarmingly low, no such data exists for the Canadian population. PA in pregnancy may also be a useful intervention for preventing and managing cardiometabolic dysfunction, but research in pregnancy is limited. Objectives: 1) To describe the PA and exercise habits of women in early pregnancy and assess the percentage of women meeting SOGC/CSEP guidelines for exercise in pregnancy; 2) To determine the association of PA with maternal cardiometabolic health in early pregnancy. Study Design: Maternal blood samples, and PA, dietary, and adiposity measures were collected from a subset of women in early pregnancy (12 – 17 wk gestation) upon enrollment in the Be Healthy in Pregnancy RCT. Fasted blood samples were analyzed for glucose, triglycerides, insulin, leptin, adiponectin and C-reactive protein (CRP). Self-reported and objectively measured PA were assessed using the PARmed-X for Pregnancy and an accelerometer. PA was quantified by three parameters: daily step count, energy expenditure (kcal/day) and meeting the SOGC/CSEP recommendations. Results: For the 198 participants of age 31 ± 4 years; BMI 25.4 ± 4.7kg/m2; at 13 ± 2 wk gestation (mean ± SD), 19.2% reported not exercising in early pregnancy. Approximately half of participants met the minimum SOGC/CSEP recommendation (15 min, 3x/wk), but only 14.2% met the preferred SOGC/CSEP recommendation (30 min, 4x/wk). Meeting the preferred recommendation was associated with lower CRP. Daily step count and energy expenditure (kcal/day) were not significantly associated with glucose, triglycerides, insulin, leptin, adiponectin or CRP. Percent body fat and a higher diet quality were associated with some of the cardiometabolic biomarkers. Conclusion: In a healthy pregnant cohort, while the majority had PA below recommendations, measured PA was not associated with most cardiometabolic biomarkers thus cardiometabolic risk in early pregnancy was low.
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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".