dc.description.abstract | Background
. Every normal woman undergoes the menstrual cycle, during which
hormonal changes often lead to issues such as premenstrual syndrome (PMS). The
exact cause of PMS is not yet known; however, it is frequently associated with
unhealthy lifestyles commonly exp erienced by medical students, including poor
sleep quality, low physical activity, and high stress levels. Objective . To determine
the relationship between BMI, sleep quality, physical activity, and stress with the
incidence of premenstrual syndr ome in female students of the Faculty of Medicine
at the University of North Sumatra. Methods . This study is an analytical
observational study with a cross sectional approach. The research sample,
consisting of 143 individuals, was selected using consecutive sampling. Data were
collected through The Shortened Premenstrual Assessment Form (SPAF)
questionnaire for assessing premenstrual syndrome, t he Pittsburgh Sleep Quality
Index (PSQI) for measuring sleep quality, the Global Physical Activity
Questionnaire (GPAQ) for assessing physical activity, and the Perceived Stress
Scale (PSS) for measuring stress. Chi square tests were conducted to assess the
relationship between BMI, sleep quality, physical activity, and stress with PMS.
Results . The Chi square analysis yielded p values of 0.08 (p < 0.05) for BMI, 0.15
(p 0.05) for sleep quality, 0.599 (p > 0.05) for physical activity, and 0.001 (p <
0.05) for stress. Conclusion . There is a significant positive relationship between
BMI and stress with the incidence o f PMS in female students of the Faculty of
Medicine at the University of North Sumatra. No significant evidence of a
relationship was found between sleep quality and physical activity with the
incidence of PMS in these students. | en_US |