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A Structural Model for Premenstrual Coping in University Students: Based on Biopsychosocial Mod

Journal of Korean Academy of Nursing 2017³â 47±Ç 2È£ p.257 ~ 266
KMID : 0806120170470020257
ä¸í¿Á ( Chae Myung-Ock ) - Ã»ÁÖ´ëÇб³ º¸°ÇÀÇ·á´ëÇÐ °£È£Çаú

ÀüÇØ¿Á ( Jeon Hae-Ok ) - Ã»ÁÖ´ëÇб³ º¸°ÇÀÇ·á´ëÇÐ °£È£Çаú
±è¾Æ¸° ( Kim Ah-Rin ) - Ã»ÁÖ´ëÇб³ º¸°ÇÀÇ·á´ëÇÐ °£È£Çаú

Abstract

Purpose: The aims of this study were to construct a hypothetical structural model which explains premenstrual coping in university students and to test the fitness with collected data.

Methods: Participants were 206 unmarried women university students from 3 universities in A and B cities. Data were collected from March 29 until April 30, 2016 using self-report structured questionnaires and were analyzed using IBM SPSS 23.0 and AMOS 18.0.

Results: Physiological factor was identified as a significant predictor of premenstrual syndrome (t=6.45, p<.001). This model explained 22.1% of the variance in premenstrual syndrome. Psychological factors (t=-2.49, p=.013) and premenstrual syndrome (t=8.17, p<.001) were identified as significant predictors of premenstrual coping. Also this model explained 30.9% of the variance in premenstrual coping in university students. A physiological factors directly influenced premenstrual syndrome (b=.41, p=.012). Premenstrual syndrome (b=.55, p=.005) and physiological factor (b=.23, p=.015) had significant total effects on remenstrual coping. Physiological factor did not have a direct influence on premenstrual coping, but indirectly affected it (b=.22, p=.007). Psychological factors did not have an indirect or total effect on premenstrual coping, but directly affected it (b=-.17, p=.036).

Conclusion: These findings suggest that strategies to control physiological factors such as menstrual pain should be helpful to improve premenstrual syndrome symptoms. When developing a program to improve premenstrual coping ability and quality of menstrual related health, it is important to consider psychological factors including perceived stress and menstrual attitude and premenstrual syndrome.
KeyWords

Female, Premenstrual syndrome, Structural models, Students, Young adult
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