Assess the prevalence, and practices regarding premenstrual syndrome among the students of the faculty of health-care sciences

Abstract

Pre-menstrual syndrome is a collection of menstruallly-related disorders characterized by physical, psychological and behavioral changes during the luteal phase, which can interfere with daily activities. Common symptoms include mood changes, anger, depression, breast tenderness, bloating and headache. The objective of the study is to assess the prevalence and practices regarding pre-menstrual syndrome among the students of faculty of health care sciences. The study aimed to assess the pre-menstrual symptoms among female students at the faculty of health care sciences, eastern university, Sri Lanka. A cross sectional online survey was conducted using platforms like WhatsApp, Messenger, Viber and Email, involving a total of 471 students. Data collection lasted for a month, and analysis was performed using SPSS V.25 including descriptive statistics and chi-squire tests for associations. Out of 261 students who responded 53.26% (n=139 ) didn’t experience pre-menstrual syndrome, while 18.39% (n=48 )had a moderate type of pre- menstrual syndrome, 15.33% (n= 40)experienced a severe type of pre-menstrual syndrome and 13.03% (n= 34) dealt with a very severe type of pre-menstrual syndrome. When considering the correlation between PMS and age the P-value is 0.041 which is less than 0.05.however, when examining the correlation between PMS and age at menarche, the P-value is 0.781, which is higher than 0.05. Regarding the association between PMS and the ethnicity both person chi-square test and the likelihood ratio yield p-values of 0.432 and 0.404, respectively, both exceeding 0.05. When examining the link between PMS and the menstrual cycle, both person chi-square test and the likelihood ratio values were highly significant with p-values of 0.00, both falling below 0.05. Concerning the association between PMS and the daily lifestyle, both person chi-square test and the likelihood ratio values were highly significant, with p-values of 0.000, both less than 0.05. Regarding correlation between PMS and the relieving methods, both person chi-square test and the likelihood ratio values resulted in non-significant P-values of 0.728 and 0.714, respectively. Prevalence of PMS conducted among female students of Faculty of Health-Care Sciences, Eastern university, Sri Lanka is 46.74%. and there is association between PMS and life style disturbances and no association between PMS and relieving methods.