Dysmenorrhea is the most common gynecological condition worldwide, affecting 90% of women of reproductive age. It is usually characterized by various symptoms such as pain, nausea, fatigue, depression, diarrhea, headache, insomnia, anxiety, weakness. According to the pathophysiology of dysmenorrhea, it can be classified as primary dysmenorrhea in which there is no organic disease or secondary dysmenorrhea due to an underlying pelvic abnormality. Primary dysmenorrhea presents with spasmodic, crampy menstrual pain and discomfort in the absence of pelvic pathology, while secondary dysmenorrhea is associated with a specific pelvic pathology such as endometriosis, adenomyosis, or uterine fibroids. Working ability, location, intensity, days of pain, dysmenorrhea (WaLIDD) score is an outcome scale designed as a scale type questionnaire (ability to work, location, intensity, days of pain, dysmenorrhea) integrating the features of score dysmenorrhea. This study will prove whether the Turkish version of the WaLIDD score is valid and reliable in evaluating women with dysmenorrhea. Statistical Package for Social Sciences (SPSS), version 22.0 computer package program for Windows will be used for statistical analysis. Statistical data will be expressed as mean±standard deviation (X±SD), median or percent (%). One-Sample Kolmogorov Smirnov test will be used to show the parametric or nonparametric distribution of the data. To determine the reliability of the WaLIDD score, test-retest and internal consistency analyzes will be performed at 7-day intervals. The test-retest value will be evaluated with the Intraclass Correlation Coefficient (ICC) and the internal consistency analysis will be evaluated with the Cronbach α value. The convergent validity of the WaLIDD score will be made using Pearson correlation analysis after calculating the total scores obtained from the Premenstrual Syndrome Impact Questionnaire, Pain Disability Index, and Big Five Inventory-10 questionnaires. Statistical significance value will be accepted as p<0.05.
Currently, there is no agreement in the use of standard questionnaires with adequate validation and structuring measures to classify the severity of dysmenorrhea. This may explain the variability in prevalence, conditions associated with absenteeism (work, school, etc.), or errors in the diagnostic approach to patients with pelvic pain. The aim of this study is to conduct a cross-cultural adaptation study of the Turkish version of the working ability, location, intensity, days of pain, dysmenorrhea (WaLIDD) score, a tool designed to allow the identification of women with dysmenorrhea and those at high risk of obtaining medical clearance for the general population.