Volume 17, Issue 4 (24 2012)                   Back to this Issue | Back to browse issues page

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Amiri Farahani L, Heidari T, Narenji F, Asghari Jafarabadi M, Shirazi V. Relationship between Pre Menstrual Syndrome with Body Mass Index among University Students. Hayat. 2012; 17 (4) :85-95
URL: http://hayat.tums.ac.ir/article-1-49-en.html
1- Dept. of Midwifery, School of Nursing and Midwifery, Arak University of Medical Sciences, Arak, Iran; Ph.D Candidate in Reproductive Health, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran , l.amirifarahani@arakmu. ac.ir
2- Dept. of Midwifery, School of Nursing and Midwifery, Arak University of Medical Sciences, Arak, Iran; Ph.D Candidate in Reproductive Health, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran
3- Dept. of Midwifery, School of Nursing and Midwifery, Arak University of Medical Sciences, Arak, Iran
4- Assistant Professor of Biostatistics, Tabriz Health Services Management Research Center and Department of Statistics and Epidemiology, Faculty of Health and Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran
5- B.Sc in Midwifery
Abstract:   (8405 Views)

Background & Aim: Several factors have been reported to be influential in development of the premenstrual syndrome. There are no studies available on relationship between premenstrual syndrome with body mass index in Iran. This study aimed to determine this relationship among university students.

Methods & Materials: This was a cross-sectional study conducted on a random sample of 500 students living in the dorms of Arak University of Medical Sciences. The participants had not stress, anxiety and severe depression on the basis of the DASS21. Data were gathered using Social Status Questionnaire, including demographic, menstrual status, reproductive and eating habits and body mass index measurement items. The participants completed the abbreviated form of premenstrual syndrome evaluation within seven days of bleeding up to two days after onset of bleeding for one cycle. Using logistic regression analysis, the association was assessed by adjusting for confounding variables.

Results: A majority of the students had normal BMI (<25) (90.8%). The results showed that the risk of premenstrual syndrome in the participants with high BMI was 2.43 times more than the participants with normal BMI (OR=2.43 CI=8.33-1.66).

Conclusion: High BMI increased the risk of premenstrual syndrome. Interventions to decrease the BMI should be designed and implemented in overweight and obese patients with premenstrual syndrome.

Full-Text [PDF 178 kb]   (2513 Downloads)    
Type of Study: Research | Subject: Nursing Care
Published: 2013/08/20 | ePublished: 2013/08/20

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