Exercises for Women with Persistent Pelvic and Low Back Pain after Pregnancy
Bibliographic record
Abstract
BACKGROUND: Specific stabilizing exercises activating deep local muscles in coordination with global muscles are recommended in the treatment of pregnancy-related lumbopelvic pain. Some studies have suggested that recruitment of the deepest abdominal muscle, transversus abdominis, is crucial in the development and improvement of lumbopelvic pain. OBJECTIVE: This exploratory study aimed to describe the development of pain, disability and transversus abdominis recruitment before, during and after an individually designed intervention including an exercise program for women with persisting lumbopelvic pain after delivery. DESIGN: A multiple-baseline, single-subject experimental design was applied. METHODS: Sixteen women with lumbopelvic pain after delivery were included and received tailored exercise therapy, including ultrasound-guided activation of deep muscles, strengthening and stretching exercises and advice. Pain, disability and ultrasound-recorded activation of transversus abdominis was registered weekly. Treatment and testing was performed in a primary care setting in Trondheim, Norway. RESULTS: All sixteen included women reported reduced pain and decreased disability over the intervention period. The magnitude of transversus abdominis activation varied substantially between individuals and tests. While there was a statistically significant correlation between change in pain and change in disability, no correlation was observed between change in transversus abdominis activation and change in symptoms. LIMITATIONS: This is an exploratory study and results cannot be generalized without replication in controlled studies. CONCLUSIONS: Pain and disability due to persistent low back and pelvic pain after delivery were reduced after specific, individual adapted exercise including deep and superficial lumbopelvic muscles. Changes in pain and disability were not associated with changes in transversus abdominis activation.
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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) | 0.003 | 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".