The Effect of an Exercise Programme for a Healthy Pregnancy
Bibliographic record
Abstract
Objective: This study aims to reduce musculoskeletal pain and increase physical activity capacity during pregnancy, thereby enhancing daily living activities.It aims to manage the increased musculoskeletal pain and decreased physical activity capacity during pregnancy with exercise and to determine the benefits on activities of daily living. Methods:The study was conducted with 42 pregnant women between 16-34 weeks gestation who participated in a 6-week exercise program at the Pregnancy School of Sakarya Training and Research Hospital and Physiotherapy and Rehabilitation Application and Research Center.Short Form-36 (SF-36) was used for quality of life, Visual Analogue Scale (VAS) for pain severity, Pregnancy Physical Activity Questionnaire for physical activity levels, and McGill Pain Questionnaire for pain characteristics.Results: Post-intervention analyses showed that pain was reduced and quality of life significantly improved.SF-36 scores showed significant improvements in the sub-parameters of physical role, emotional well-being, social functioning, and general health.VAS scores showed significant reductions in pain during activity, rest, and at night.Participants also showed significant improvements in the home/care and sport/exercise subdomains of physical activity.Conclusion: Regular physical activity during pregnancy effectively reduces pain levels and improves quality of life.The study supports the inclusion of structured exercise programs in antenatal care, highlighting the benefits of physical activity in managing pain and improving the overall wellbeing of pregnant women.This approach not only facilitates daily activities but also helps reduce complications during and after labour.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".