생물심리사회모델에 근거한 여대생의 월경전증후군 대처 예측모형 (A Structural Model for Premenstrual Coping in University Students: Based on Biopsychosocial Model)

서지정보

· 발행기관 : 한국간호과학회
· 수록지 정보 : Journal of Korean Academy of Nursing / 47권 / 2호 / 257 ~ 266페이지
· 저자명 : 채명옥, 김아린, 전해옥

초록

Purpose: The aims of this study were to construct a hypothetical structural model which explains premenstrual coping in university students andto 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 andAMOS 18.0. Results: Physiological factor was identified as a significant predictor of premenstrual syndrome (t=6.45, p<.001). This model explained22.1% of the variance in premenstrual syndrome. Psychological factors (t=-2.49, p=.013) and premenstrual syndrome (t=8.17, p<.001) were identifiedas 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 physiologicalfactor (b=.23, p=.015) had significant total effects on premenstrual coping. Physiological factor did not have a direct influence on premenstrualcoping, but indirectly affected it (b=.22, p=.007). Psychological factors did not have an indirect or total effect on premenstrual coping, butdirectly affected it (b=-.17, p=.036). Conclusion: These findings suggest that strategies to control physiological factors such as menstrual painshould be helpful to improve premenstrual syndrome symptoms. When developing a program to improve premenstrual coping ability and qualityof menstrual related health, it is important to consider psychological factors including perceived stress and menstrual attitude and premenstrualsyndrome.

영어초록

Purpose: The aims of this study were to construct a hypothetical structural model which explains premenstrual coping in university students andto 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 andAMOS 18.0. Results: Physiological factor was identified as a significant predictor of premenstrual syndrome (t=6.45, p<.001). This model explained22.1% of the variance in premenstrual syndrome. Psychological factors (t=-2.49, p=.013) and premenstrual syndrome (t=8.17, p<.001) were identifiedas 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 physiologicalfactor (b=.23, p=.015) had significant total effects on premenstrual coping. Physiological factor did not have a direct influence on premenstrualcoping, but indirectly affected it (b=.22, p=.007). Psychological factors did not have an indirect or total effect on premenstrual coping, butdirectly affected it (b=-.17, p=.036). Conclusion: These findings suggest that strategies to control physiological factors such as menstrual painshould be helpful to improve premenstrual syndrome symptoms. When developing a program to improve premenstrual coping ability and qualityof menstrual related health, it is important to consider psychological factors including perceived stress and menstrual attitude and premenstrualsyndrome.

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