Reliability of dynamometric measurements of the pelvic floor musculature
Bibliographic record
Abstract
AIMS: The objective of this study was to evaluate the reliability of strength and endurance dynamometric measurements of the pelvic floor musculature (PFM). MATERIALS AND METHODS: Twenty-nine female participants, primipara and multipara, aged between 27 and 42 and presenting different severity levels of stress urinary incontinence (SUI), participated in the study. They were evaluated using a new pelvic floor dynamometer, an instrumented speculum based on strain-gauged technology. Strength and endurance evaluations were repeated in three successive sessions, each followed by a 4-week period. Maximal strength values were recorded at three dynamometer openings (5 mm, 1 cm, and 1.5 cm between the two dynamometer branches). The maximal rate of force development (MRFD) and percentage of strength lost after 10 and 60 sec were computed from the endurance trial. The generalizability theory was applied to estimate the reliability of the PFM measurements. The reliability was quantified by the index of dependability and the corresponding standard error of measurement (SEM) for one and the mean of three trials performed in one session for the strength measurements and one trial completed in one session for the MRFD and endurance measurements. RESULTS: For the maximal strength measurements, the largest coefficient of dependability was obtained at the 1 cm opening, with a value of 0.88. The corresponding SEM reached 1.49 N. The reliability of the MRFD was also very good with a coefficient of 0.86 and an SEM of 0.056 N/sec. The reliability was minimally affected by the number of trials. The strength loss measurements at 10 and 60 sec were unreliable, with coefficient values of 0.38 and 0.10, respectively. CONCLUSIONS: The results of the present study indicate that the reliability of the strength parameters (maximal strength and MRTD measurements) was high enough for future investigations on pelvic floor rehabilitation programs.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".