MedPath

Comparison of Different Physiotherapy Techniques in Dysmenorrhea

Not Applicable
Recruiting
Conditions
Dysmenorrhea Primary
Registration Number
NCT07022106
Lead Sponsor
Medipol University
Brief Summary

This study is investigating the effects of myofascial release technique \& kinesiotape in managing dysmenorrhea

Detailed Description

Dysmenorrhea is a common gynecological disorder characterized by painful menstruation manifested by severe cramps in the lower abdomen. Recent epidemiological studies indicate a global prevalence of 50-90% among women (10-20% with severe symptoms); in Türkiye, studies show a prevalence of 75-85%.Dysmenorrhea is divided into two types: primary dysmenorrhea (PD) and secondary dysmenorrhea. PD is painful menstruation without any underlying pathological condition. The main goal of dysmenorrhea treatment is to significantly improve the patient's well-being and quality of life (QoL) by effectively relieving pain and relieving symptoms by targeting physiological mechanisms. There are various physiotherapy methods that can be used to reduce this pain, such as transcutaneous electrical nerve stimulation (TENS), cryotherapy, myofascial release therapy (MRT), and kinesiology taping (KT).

This single-blind randomized controlled trial will investigate the acute therapeutic effects of Myofascial Release Technique (MRT) versus Kinesio Taping (KT) in 46 females aged 18-30 years with PD. Participants will be randomised into Group 1 (MRT; n = 23) or Group 2 (KT; n = 23), receiving a single intervention session during their most painful menstrual day

All participants will be asked to fill out 3 forms, namely a sociodemographic questionnaire covering age, height, BMI, age at menarche and duration of menstruation, a Visual Analog Scale (VAS) to assess pain level and a Patient Reported Outcomes Measurement System (PROMIS-29 Profile v2.0) to measure quality of life (QoL) at 3 time points (pre-intervention, 8 hours after intervention ,and 3-5 weeks post intervention (at the first menstrual cycle after intervention).

Statistical analyses will be conducted by using SPSS 27.0 (IBM Corp.), with a priori power analysis confirming 95% power (α = 0.05; G\*Power v3.1.9.7). Data normality will be verified via the Shapiro-Wilk test. Independent Samples t-tests will compare interventional effects between groups, while one-way ANOVA (with LSD post-hoc tests) will analyze multi-point QoL changes. Paired Samples t-tests will evaluate within-group temporal changes (pre vs. post-intervention).

Recruitment & Eligibility

Status
RECRUITING
Sex
Female
Target Recruitment
46
Inclusion Criteria
  • Diagnosis of primary dysmenorrhea,
  • Moderate-to-severe pain during menstrual days 1-3,
  • Regular menstrual cycles for past 6 months
Exclusion Criteria
  • Secondary gynaecological conditions,
  • Current use of pain medications,
  • History of pregnancy

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Primary Outcome Measures
NameTimeMethod
Visual Analogue Scale (VAS)Before the interventions, after 8 hours from the interventions, & 3-5 weeks post-intervention (first menstrual cycle after interventions)

It is a pain assessment tool featuring a 10-cm line marked "No pain" (0 cm) and "Worst pain imaginable" (10 cm). Patients indicate their pain level by marking the line, with scores measured in cm (0-10) and categorised as mild (0-3), moderate (4-6), or severe (7-10)

Secondary Outcome Measures
NameTimeMethod
Patient-Reported Outcomes Measurement Information System (PROMIS-29 Profile v2.0)Before the interventions, after 8 hours from the interventions, & 3-5 weeks post-intervention (first menstrual cycle after interventions)

It is a quality of life scale that questions physical function, anxiety, depression, fatigue, sleep disturbance, social roles and activities, pain interference and severity under its subheadings

Trial Locations

Locations (1)

İstanbul Medipol University

🇹🇷

Istanbul, Beykoz, Turkey

İstanbul Medipol University
🇹🇷Istanbul, Beykoz, Turkey
Salma Abdelzaher
Contact
+90 541 108 68 62
salma.abdelzaher@std.medipol.edu.tr

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.