Korean J Women Health Nurs Search

CLOSE


Korean J Women Health Nurs > Volume 24(4); 2018 > Article
Korean Journal of Women Health Nursing 2018;24(4):346-354.
DOI: https://doi.org/10.4069/kjwhn.2018.24.4.346    Published online December 20, 2018.
Impact of Menstrual Attitudes, Premenstrual Syndrome, and Stress Response on Quality of Life among Nursing Students
Hee Jin Jang, Mi Hae Sung
1Nurse, Haeundae Baik Hospital, Busan, Korea.
2College of Medicine, Department of Nursing · Institute of Health Science, Inje University, Busan, Korea. nursmh@inje.ac.kr
Abstract
PURPOSE
To identify effects of menstrual attitude, premenstrual syndrome, and stress response on quality of life of nursing students.
METHODS
Subjects were 135 nursing students who agreed to participate in this study. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation, and stepwise multiple regression.
RESULTS
Premenstrual syndrome, younger than 20 years of age, and habit of eating bland food in everyday life were factors influencing quality of life of nursing students. These factors accounted for 17.6% of quality of life. Premenstrual syndrome toward quality of life was the most influential factor.
CONCLUSION
Premenstrual syndrome is the most significant factor affecting the quality of life of nursing students. To increase their quality of life, it is important to develop and apply educational programs using factors influencing quality of life of the nursing students. Results of this study will be useful as basic data for improving quality of life of nursing students. Additional study is needed to test its effect in the future.
Key Words: Nursing students; Quality of life; Attitudes; Premenstrual syndrome; Stress


ABOUT
BROWSE ARTICLES
CURRENT ISSUE
FOR AUTHORS AND REVIEWERS
Editorial Office
College of Nursing, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
Tel: +82-2-2228-3276    Fax: +82-2-2227-8303    E-mail: whn@e-whn.org                

Copyright © 2024 by Korean Society of Women Health Nursing.

Developed in M2PI

Close layer
prev next