Leila Amiri Farahani, Tooba Heidari, Fereshteh Narenji, Mohammad Asghari Jafarabadi, Vahideh Shirazi,
Volume 17, Issue 4 (2-2012)
Abstract
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.
Mahin Kiyani Mask, Maryam Aradmehr, Elham Azmoude,
Volume 26, Issue 2 (6-2020)
Abstract
Background & Aim: Optimal weight gain during pregnancy, as an important indicator of maternal and fetal health, is affected by many adjustable variables. The present study was conducted to evaluate the gestational age-specific weight gain based on the indices of the American Institute of Medicine and to determine its related factors.
Methods & Materials: In this descriptive study, 250 pregnant women referred to the health centers of Torbat Heydarieh were assessed in 2018. The gestational age-specific weight gain was calculated for each woman, and based on the amount of deviation from the IOM indices, the subjects were divided into three groups including weight gain less than optimal, optimal and over than optimal. Data collection tools were demographic questionnaire and Multidimensional Body Relationship Questionnaire. Data were analyzed by chi-square, ANOVA, Kruskal-Wallis tests and ordinal regression using the SPSS software version 16.
Results: In this study, 22% of the subjects gained weight less than optimal, 46.4% gained weight normally and 31.6% had excessive weight gain. Weight gain in most women with normal and low body mass index was in a normal range (55.4%) and in most overweight and obese women was higher than an optimal range (43.2% and 35.7%, respectively). Weight gain was related to age, education, parity, abortion history, feelings of women and their partners toward pregnancy and wanting the pregnancy from the viewpoint of the partner (P<0.05). After entering the significant variables into the ordinal regression model, only nulliparity was able to predict pregnancy weight gain status (P=0.017).
Conclusion: Optimal weight gain in most pregnant women of this study may reflect the proper nutrition and effectiveness of prenatal care in this city. Identifying factors related to weight gain out-of-range increases the effectiveness of interventions on weight gain.
