Effect of Pelvic Floor-Based Training on Dysmenorrhea

Overview

The aim of this study is to examine the effect of patient education, knowledge levels and dysmenorrhea symptoms in young women with primary dysmenorrhea. The main question it aims to answer is the questions are as follows: 1. Is patient education effective in improving symptoms in young women with primary dysmenorrhea? 2. Is there a relationship between knowledge level and symptoms in young women with primary dysmenorrhea? Participants will: After the training group was given the training in 2 sessions, the participants were asked to apply the exercises in which the training was given. The control group applied conventional self-methods when dysmenorrhea symptoms occurred. The evaluations were made before the training and at the end of the first menstrual cycle.

Dysmenorrhea is pain that occurs during menstruation due to cramps in the uterus. It is one of the most common causes of pelvic pain, especially experienced by young women. primary dysmenorrhea is distinguished from secondary dysmenorrhea by the occurrence of pain in women with normal pelvic anatomy without any pathology or physiological etiology. In the management of primary dysmenorrhea, non-pharmacological treatment methods such as lifestyle changes, sleep and nutrition changes, exercise, and physiotherapy applications are used in addition to pharmacological treatments. The aim of this study is to examine the effect of patient education on the pelvic floor knowledge levels and dysmenorrhea symptoms in young women with primary dysmenorrhea. In this study, participants were divided into two groups: the education group and the control group. The evaluations were made before the education and after the first menstrual cycle. The "Statistical Package for Social Sciences (SPSS) Statistics 23.0 (SPSS Inc, Chicago, USA) program will be used in the analysis of the study data. The change in numerical variables over time in the treatment and control groups and the group-time interaction will be examined with "two-way repeated measures variance analysis". The "Chi-Square Test" will be used to examine the relationship between categorical variables. The relationship between numerical variables will be examined with the "Spearman rho correlation coefficient". The probability of error will be accepted as (p\<0.05).