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Record W4383483863 · doi:10.1097/md.0000000000034223

The effect of progressive muscle relaxation technique and myofascial release technique on premenstrual symptoms, blood circulation, and quality of life in women with premenstrual syndrome: A single-blind randomized controlled study

2023· article· en· W4383483863 on OpenAlexaboutno aff
Çisel Demiralp Övgün, Emine Handan Tüzün

Bibliographic record

VenueMedicine · 2023
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRandomized controlled trialPhysical therapyQuality of life (healthcare)Pittsburgh Sleep Quality IndexMyofascial pain syndromeMcGill Pain QuestionnaireRelaxation (psychology)Progressive muscle relaxationPhysical medicine and rehabilitationSleep qualitySurgeryInternal medicineVisual analogue scaleAlternative medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Premenstrual syndrome (PMS) is a common condition in women of reproductive age. It is characterized by a range of behavioral, physical, and psychological symptoms. The aim of this study is to investigate the effects of progressive relaxation and myofascial release technique (MRT) on premenstrual symptoms, blood flow rate, pain, sleep quality and quality of life, in women with PMS. METHOD: The study will conduct as a single-blind randomized controlled trial. Study registered at the ClinicalTrial.gov Protocol ID: NCT05836454. The volunteers will be randomized using allocation software to be divided into 3 groups: the progressive muscle relaxation group, the MRT group, and the control group. Assessments will be conducted by another physical therapist who is blinded to the groups. The assessments will include the Premenstrual Syndrome Severity Score, Blood Flow Measurements, Short Form McGill Pain Questionnaire, the Pittsburgh Sleep Quality Index and Short Form-36 Health Survey. DISCUSSION: Since both methods provide relaxation, improve symptoms and quality of life, they have not been compared to each other in the literature. This prompt to us to plan this study.

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.131
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.017
GPT teacher head0.309
Teacher spread0.292 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2023
Admission routes1
Has abstractyes

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