Survey study, 2022
What psychological factors predict PMS in nursing students?
Resilience (the ability to bounce back from stress) was the strongest predictor of PMS, with better resilience linked to fewer symptoms. Menstrual attitude also predicted PMS severity.
What they did
Survey of 154 nursing students about their menstrual attitude, resilience, and PMS symptoms. Researchers used statistical analysis to identify which factors best predicted PMS.
What they found
Menstrual attitude and resilience together explained 20.5% of the variation in PMS symptoms. Resilience was identified as the key factor predicting PMS. Better resilience was associated with less PMS.
What it means for you
How women think about their periods and their ability to cope with stress may influence PMS symptoms. The study explains only 20.5% of PMS variation, meaning other factors are important. Results are limited to a small group of nursing students and may not apply to other women.
20.5%
of PMS variation explained by resilience and attitude
154
nursing students studied
r=.114
weak correlation between attitude and PMS
About the study
- Original title
- Factors influencing premenstrual syndrome in nursing students
- Authors
- In Joo Kim
- Journal
- International Journal of ADVANCED AND APPLIED SCIENCES
- Year
- 2022
- Study design
- Survey study
- Participants
- 154
- What was tested
- None
- Open access
- Yes
- Read the paper
- doi.org/10.21833/ijaas.2022.04.017
Topics
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