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Survey study, 2023

What factors make PMS worse in college students?

Depression, stress, sleep problems, and eating attitude problems are all linked to worse PMS. Most students had symptoms severe enough to be called premenstrual dysphoric disorder (PMDD).

Moderate study design 143 female college students in C City, South Korea

What they did

Online cross-sectional survey of 143 female college students in South Korea. They assessed PMS severity, stress, depression, sleep, eating attitudes, physical health factors, and menstrual pain.

What they found

72.7% of students had PMDD-level symptoms (the most severe type). PMS was significantly linked to depression (r=.284, p=.001), stress (r=.284, p=.001), and sleep disturbance (r=.440, p<.001). Eating attitude problems also showed a link.

What it means for you

Multiple factors including psychological stress, mood, and sleep are interconnected with PMS severity. However, this study cannot determine which factors cause which, only that they are linked. It is limited to one city in South Korea.

143

female college students

72.7%

with PMDD-level symptoms

r=.440

correlation between sleep disturbance and PMS

About the study

Original title
Levels and Factors of Premenstrual Syndrome (PMS) among Female College Students
Authors
Yi SJ, Kim M, Park I
Journal
Research Square
Year
2023
Study design
Survey study
Participants
143
What was tested
None
Open access
Yes
Original abstract

Abstract Background: Premenstrual syndrome (PMS) affects women’s physical and mental health. Depression, stress, sleep disturbance, and eating attitude problems have been known to influence PMS. Furthermore, restrictions of daily life due to the COVID-19 pandemic have led to changes in sleep patterns and eating attitudes. Thus, it is necessary to closely examine how these factors affect PMS. This study aimed to examine the levels of PMS, stress, depression, sleep disturbance, and eating attitude problems among female college students who experience dysmenorrhea and determine the factors associated with PMS. Methods: A cross-sectional online survey design was conducted using a convenience sample of 143 female college students in C City, South Korea. Differences in participants' level of PMS according to physical health variables (e.g., smoking, water intake, menstrual pain intensity) and psychological issues (i.e., stress, depression, sleep disturbances, and eating attitude problems) were assessed with independent sample t-tests and one-way ANOVAs. Correlational analyses between these variables were also conducted. Additionally, multiple regression was performed to identify the factors influencing PMS. Results : PMS severity was between normal (27.3%) and premenstrual dysphoric disorder (PMDD) (72.7%). PMS was associated positively with depression (r=.284, p=001), stress (r=.284, p=.001), sleep disturbance (r=.440, p Conclusions: Considering the influencing factors of PMS identified in this study, interventions for participants experiencing PMS should be made. We propose that further study should be conducted to examine whether the severity of PMDD changes according to menstrual pain, the pattern and degree of its change, and the paths through which sleep quality and eating attitude problems affect PMS.

Reproduced under CC-BY.

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