Impact of postpartum physical activity on cardiometabolic health, breastfeeding, injury and infant growth and development: a systematic review and meta-analysis
Bibliographic record
Abstract
Objective To examine the relationship between postpartum physical activity and maternal postnatal cardiometabolic health, breastfeeding, injury, and infant growth and development. Design Systematic review with random-effects meta-analysis and meta-regression. Data sources Eight online databases were searched up until 12 January 2024. Eligibility criteria Studies of all designs in all languages were eligible (except case studies and reviews) if they contained information on the population (postpartum people), intervention (frequency, intensity, duration, volume, or type of exercise, alone (‘exercise-only’) or in combination with other intervention components (eg, dietary; ‘exercise+co-intervention’), comparator (no or low volumes of physical activity), and outcomes: hypertension, diabetes, cardiometabolic risk factors (systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol, high density lipoproteins, low density lipoproteins, and triglycerides, glycated hemoglobin (HbA1C), glucose and insulin concentration), breastfeeding (breast milk quality and volume), infant growth (length and weight) and development, or postpartum injury. Results 46 unique studies (n=8766 participants) from 20 countries were included. Moderate certainty of evidence showed exercise+co-interventions reduced the odds of developing diabetes by 28% (7 randomised controlled trials (RCTs), n=2496; OR 0.72 95% CI 0.54, 0.98, I2 12%), reduced SBP (10 RCTs, n=2753; mean difference (MD) −2.15 95% CI −3.89 to –0.40, I2 73%) and DBP (9 RCTs, n=2575; MD −1.38 95% CI −2.60 to –0.15, I2 66%) compared with controls. Infant growth and development, breast milk quality and quantity, and risk of injury were not different between exercise and control groups. Conclusions Physical activity improves cardiometabolic health without adversely impacting breast milk supply or quality, infant growth or maternal injury.
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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 | 0.016 | 0.039 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.025 | 0.043 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".