J Korean Acad Nurs.  2020 Jun;50(3):487-500. 10.4040/jkan.20049.

Validity and Reliability of the Korean Version of the Menopause-Specific Quality of Life

Affiliations
  • 1College of Nursing · Research Institute of Nursing Science, Ajou University, Suwon
  • 2Department of Nursing, College of Health & Medical Science, Cheongju University, Cheongju, Korea

Abstract

Purpose
This study aimed to evaluate the validity and reliability of the Korean version of Menopause-Specific Quality of Life (MENQOL).
Methods
The MENQOL was translated into Korean according to algorithm of linguistic validation process. A total of 308 menopausal womenwere recruited and assessed using the Korean version of MENQOL (MENQOL-K), the World Health Organization Quality of Life BriefVersion (WHOQOL-BREF), and Center for Epidemiological Studies Depression Scale (CES-D-K). In estimating reliability, internal consistencyreliability coefficients were calculated. Validity was evaluated through criterion validity and construct validity with confirmatory factor analysesusing SPSS 23.0 and AMOS 25.0 software.
Results
In item analyses, the “increased facial hair” symptom was excluded because of thelow contribution of MENQOL-K. The confirmatory factor analysis supported good fit and reliable scores for MENQOL-K model, and thefour-factor structure was validated (x2=553.28, p <.001, NC=1.84, RMSEA=.05, AGIF=.85, AIC=765.28). The MENQOL-K consists of 28 itemsin 4 domains, including vasomotor (3 items), psychosocial (7 items), physical (15 items), and sexual subscales (3 items). There was an acceptablecriterion validity with moderately significant correlation between MENQOL-K and WHOQOL-BREF. The Cronbach’s a for the 4subsacles ranged from .80 to .93.
Conclusion
The MENQOL-K is a valid and reliable scale to measure condition-specific quality of life forperimenopausal and postmenopausal women. It can be used to assess the impact of menopausal symptoms on the quality of life of Koreanwomen in clinical trials.

Keyword

Menopause; Quality of Life; Reproducibility of Results; Factor Analysis, Statistical
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