Written by Maryam Mohebbi, Sedigheh Amir Ali Akbari, Zohre Mahmodi, Malihe Nasiri
Category: Volume 9, Issue 6, June 2017
Introduction: Premenstrual syndrome is a common disorder in reproductive age and it is associated with decreased quality of life in women. In view of various factors contributing to outbreak of PMS (premenstrual syndrome) among women, the present study intended to compare lifestyles of university students with and without premenstrual syndromes living in dormitories of Qazvin University of Medical Sciences in 2015.
Methods: The descriptive cross-sectional study recruited 200 university students with and without PMS from students living in dormitories. Data were collected using questionnaires of premenstrual symptoms, questionnaires for diet, perceived stress, and unhealthy behavior. Data were analyzed using descriptive statistics, independent samples t-test, Mann-Whitney, Chi-square, and logistic regression in SPSS version 23.
Results: The results showed that nutrition style (p=0.001), perceived stress (p=0.001), and exposure to passive tobacco smoke (p=0.001) were different between the two groups. Logistic regression analysis showed that nutrition style (p=0.001, OR=0.861), exposure to passive tobacco smoke (p=0.008, OR=2.059), and stress (p=0.001, OR=1.088) were different in both groups.
Conclusion: The research results proved that lifestyle, especially healthy eating habits, and decreasing stress and unhealthy behavior can influence PMS. Therefore, interventions are recommended to improve PMS symptoms.
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Keywords: Lifestyle, Perceived stress, Premenstrual syndromes, Unhealthy behaviors, Nutrition
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Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
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About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: