Asian Nurs Res.  2017 Mar;11(1):1-5. 10.1016/j.anr.2017.01.001.

Validation of the Korean Version of the Mini-Sleep QuestionnaireeInsomnia in Korean College Students

Affiliations
  • 1College of Nursing, The Catholic University of Korea, Seoul, South Korea. heeju0906@gmail.com

Abstract

PURPOSE
This study aimed to evaluate the reliability and validity of the Korean version of the Mini-Sleep QuestionnaireeInsomnia in Korean college students.
METHODS
A total of 470 students from six nursing colleges in South Korea participated in the study. The translation and linguistic validation of the Mini-Sleep Questionnaire-Insomnia was performed based on guidelines. The Pittsburgh Sleep Quality Index and the Perceived Stress Scale were used to validate the measure. Cronbach α, item-total correlation for internal consistency reliability and intraclass correlation coefficient for testeretest reliability were evaluated. Exploratory factor analysis for construct validity, Pearson's correlation with the Pittsburgh Sleep Quality Index and the Perceived Stress Scale for concurrent validity, and the receiver operating character curve for predictive validity were assessed.
RESULTS
The 4-item Mini-Sleep QuestionnaireeInsomnia had a Cronbach α of .69 and the item-total correlations were higher than .30. Cronbach α increased to .73 if the item assessing the use of sleeping pills and tranquilizers was deleted. This item had marked skewness and kurtosis issues. Factor analysis indicated unidimensionality, explaining 53.0% of the total variance. The measure showed high testeretest reliability (i.e., intraclass correlation coefficient = .84), acceptable concurrent validity (r with the Pittsburg Sleep Quality Index = .69; r with the Perceived Stress Scale = .31) and predictive validity [area under curve = .85; 95% confidence interval (0.81, 0.90)].
CONCLUSION
The Mini-Sleep QuestionnaireeInsomnia showed acceptable reliability and validity. Yet, the limited distribution in sleep medications warrants further evaluations in the clinical population.

Keyword

psychometrics; sleep; sleep disorders; validation studies
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