Prevalence of premenstrual syndrome and its relationship to depressive symptoms in first-year university students

Abstract

Objectives:

To determine the prevalence of and factors influencing premenstrual syndrome (PMS) in first-year students at a university health campus and to evaluate the relationship between depression and PMS.

Methods:

This cross-sectional study was conducted on a population of 618 university students from March to June 2016 at Dokuz Eylül University, Izmir, Turkey. Data were collected using the Premenstrual Syndrome Scale (PMSS), Beck Depression Inventory and Student Identification Form. The data were analyzed with Version 20.0 of the Statistical Package for the Social Science. Descriptive statistics, Pearson’s chi-square test, and Chi-square test for trend, and independent samples t test and logistic regression analysis were used.

Results:

The prevalence of PMS in the university students was 58.1%. Premenstrual syndrome was significantly higher in students who smoked, drink alcohol, and consumed a large amount of fatty and high-calorie foods, in students who had a bad to very bad perception of their economic situation, and those who had any chronic disease or anemia ( p<0.05). Premenstrual syndrome was significantly higher in students who had a risk of depression ( p<0.01). A statistically significant relationship was determined between the risk of depression and PMSS total score and all PMSS subscale scores except for appetite changes ( p<0.01).

Conclusion:

Premenstrual syndrome was found in more than half of the students who participated in the study. Premenstrual syndrome was higher in students who had a chronic disease and/or an unhealthy lifestyle. There was a statistically significant relationship between PMS and risk of depression. Students who have PMS symptoms should be evaluated for the risk of depression.