Development of Korean Menstrual Symptom Scale for University Students |
KyuEun Lee, Sukhee Cheon, Myounghee Kim, Eun Hee Lee, Sang Bok Lee, Geum Hee Jeong, Nam Mi Kang |
1Professor, Department of Nursing, College of Medicine, Catholic Kwandong University, Gangneung, Korea. 2Associate Professor, Department of Nursing, Sangji University, Wonju, Korea. shchn@sangji.ac.kr 3Professor, Department of Nursing, Semyung University, Jecheon, Korea. 4Professor, Department of Nursing, Gangneung-Wonju National University, Wonju, Korea. 5Professor, Department of Nursing, Kyungdong University, Wonju, Korea. 6Professor, Division of Nursing, Hallym University, Chuncheon, Korea. 7Professor, Department of Nursing, Konkuk University, Chungju, Korea. |
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Abstract |
PURPOSE To develop Korean Menstrual Symptom Scale (KMSS) for university students and test its reliability and validity. METHODS The scale was developed by intensive literature review, development of preliminary items, verification of content validity, development of secondary items, verification of construct validity, and extraction of final items. Thirty-nine items were constructed. Data for validity and reliability testing were collected with a questionnaire survey from 391 university students. Data were analyzed with descriptive statistics, factor analysis, and reliability coefficients (Cronbach's α) with the SPSS program. RESULTS There were 37 final items which were sorted into six factors: ‘negative affection (8 items)’, ‘change of activity level (7 items)’, ‘physical symptom (9 items)’, ‘mood change (9 items)’, ‘change in concentration level (4 items)’, and ‘body water retention (5 items)’. The cumulative percent of variance was 63.3%. Regarding the reliability of the scale, its Cronbach's α was 0.96. Cronbach's α values for these factors ranged from 0.75 to 0.91. CONCLUSION The KMSS demonstrated acceptable validity and reliability. Repeated research is needed to measure menstrual symptom experienced by women of variable ages. |
Key Words:
Menstruation; Women; Young adult; Factor analysis |
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