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.

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.

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 (β=.41, p=.012). Premenstrual syndrome (β=.55, p=.005) and physiological factor (β=.23, p=.015) had significant total effects on premenstrual coping. Physiological factor did not have a direct influence on premenstrual coping, but indirectly affected it (β=.22, p=.007). Psychological factors did not have an indirect or total effect on premenstrual coping, but directly affected it (β=-.17, p=.036).

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.

The purpose of this study was to investigate expectations regarding aging by middle-aged women in the community, and identify factors contributing to their expectations about aging.

Participants in the survey for this study were 303 middle-aged women from community health centers and religious facilities in Seoul, Gyeonggi Province, and Chungcheongbuk Province. Data were collected from March 2 to April 17, 2012 using self-report structured questionnaires. The instruments were the Health Perceptions, Rosenberg Self-esteem Scale (RSES), Family APGAR, Expectations Regarding Aging (ERA-12). The data were analyzed using t-test, one-way ANOVA, Scheffe test, Pearson correlation coefficients and hierarchical multiple regression with IBM SPSS/WIN 20.0 program.

Perceived health status (β=0.16, p=.009) and self-esteem (β=0.20, p=.001) of middle-aged women were identified as significant predictors of expectations regarding aging, after adjusting for age, education, occupation, monthly income and menstrual status.

These results suggest that nurses should make an effort to improve expectations about aging among middle-aged women. Ultimately, community health programs for middle aged women need to be developed to achieve successful aging.