Effects of a Home-based Exercise Intervention on Fatigue in Postpartum Depressed Women: Results of a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Fatigue is prevalent during the postpartum period and may be heightened in postpartum depressed women. PURPOSE: To evaluate the efficacy of a home-based exercise intervention in reducing physical and mental fatigue scores in postpartum depressed women. METHODS: Eighty-eight women in the postpartum (4-38 weeks) obtaining a score > or =10 on the Edinburgh Postnatal Depression Scale (EPDS) were randomly assigned to a 12-week individualized home-based intervention (n = 46) or a control group (n = 42). All participants completed a cardiovascular fitness test at baseline. Outcomes were physical and mental fatigue scores and were measured at baseline, posttreatment and 3 months posttreatment. RESULTS: On the basis of intent-to-treat analyses, compared to the control group, women in the exercise group showed significantly greater reduction in physical fatigue at posttreatment [mean change = -4.07, (95% CI, (-5.15, -2.98)] and 3 months posttreatment [mean change = -4.24, (95% CI, (-5.36, -3.12)]. Significant reductions in mental fatigue with exercise were observed at posttreatment for women reporting lower physical fatigue at baseline. CONCLUSIONS: Fatigue is a common symptom experienced in the postpartum that can be heightened by depression. The findings show that home-based exercise can reduce physical and mental fatigue in postpartum depressed women.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".