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Record W4411887370 · doi:10.1016/j.tjog.2024.12.029

Comparison of motor imagery focused pelvic floor exercises and relaxation exercises for treating dysmenorrhea: A randomized controlled study

2025· article· en· W4411887370 on OpenAlexaboutno aff
Selda Koçoğlu, Ömer Şevgi̇n, Beyzanur Dikmen Hoşbaş

Bibliographic record

VenueTaiwanese Journal of Obstetrics and Gynecology · 2025
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMotor imageryGuided imageryPhysical therapyRandomized controlled trialPhysical medicine and rehabilitationRelaxation (psychology)Pelvic floorMedicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aimed to evaluate the impact of integrating motor imagery-focused pelvic floor exercises (MOPEXE) and relaxation exercise (RE) on pain and menstrual symptoms in the management of dysmenorrhea. MATERIALS AND METHODS: 60 participants with dysmenorrhea were randomly allocated to MOPEXE, RE, and a combination group that included both exercises. Participants were instructed to perform the relevant exercise program 3-d per week for eight weeks. The Menstruation Attitude Questionnaire (MAQ), Functional and Emotional Dysmenorrhea Scale (FEDS), and Short-Form McGill Pain Questionnaire (SF-MPQ) were used to assess pre- and post-treatment participant-reported outcomes. RESULTS: Combination therapy revealed a significant decrease in VAS and FEDS (emotional) and an increase in MAQ (deliberating event, natural event, anticipation, and denial parameters) compared to MOPEXE. MOPEXE group demonstrated a significant increase in menstruation as a bothersome event and a decrease in FEDS (functional). In comparison with the RE group, MAQ scores were significantly higher in the combination group. A significant reduction in VAS and an increase in the denial parameter of MAQ were observed in the RE group. CONCLUSION: Physical therapy with pelvic floor and relaxation exercises centered on motor imagery is an effective measure to reduce painful symptoms and to relieve dysmenorrhea both in terms of functional and emotional aspects.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.347
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueTaiwanese Journal of Obstetrics and GynecologySame topicMenstrual Health and DisordersFrench-language works237,207