Postpartum Exercise Regardless of Intensity Improves Chronic Disease Risk Factors
Bibliographic record
Abstract
PURPOSE: Women who are unable to return to a healthy weight by 6 months postpartum increase their risk factors for the development of chronic disease (CD; including metabolic syndrome, obesity, and cardiovascular disease). In a prospective randomized intervention study, we examined the effect of exercise intensity on risk factors for CD in the postpartum. We hypothesized that women receiving an intervention targeting healthy weight loss would have improved CD risk factors compared with women not receiving the intervention. Further, we hypothesized that nutrition control and moderate-intensity exercise would have the greatest improvement in CD risk factors versus low-intensity exercise. METHODS: Women were randomly assigned to a nutrition plus low-intensity (30% HR reserve; n = 20) or moderate-intensity (70% HR reserve; n = 20) exercise intervention group. The program consisted of supervised walking for 45 min, three to four times per week for 16 wk. All women were screened for CD at the beginning (7-8 wk postpartum) and at the end (23-25 wk postpartum) of the study. A historical control group of 20 sedentary postpartum women was matched by body mass index, age, and parity. RESULTS: The low- and moderate-intensity groups lost more body mass (-4.2 ± 4.0 and -5.0 ± 2.9 kg, respectively) compared with the control group (-0.1 ± 3.3 kg, P < 0.01). Plasma low-density lipoprotein was reduced for the low- and moderate-intensity groups (-0.29 ± 0.21 and -0.28 ± 0.17 mmol · L) compared with the control group (0.03 ± 0.18 mmol · L, P = 0.015). In addition, glucose concentrations were reduced and adiponectin concentrations increased (P = 0.037), regardless of exercise intensity, although the sedentary controls remained unchanged or at increased risk for CD. CONCLUSIONS: Women receiving a postpartum intervention targeting healthy weight loss, regardless of exercise intensity, improved CD risk factors compared with women not receiving the intervention.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".