The effect of Iranian traditional medicine based dietary intervention on incidence of pregnancy in women undergoing ovulation stimulation

Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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ISERB04_213

تاریخ نمایه سازی: 16 تیر 1397

Abstract:

Background: Success in ovulation stimulation is one of the most important goals in treatment of infertility. Adjustment of diet’s quality and quantity through a dietary intervention may be a good alternative for medication in mild to moderate cases [1,2]. The aim of current study is to determine efficacy of Persian Medicine (PM)based diet [3] on fertility of women subjected to ovulation stimulation. Method: Sixty women participated in this semiexperimental study. Cases randomly assigned to intervention and control groups. Demographic and fertility health questionnaire, reminded feed questionnaire, temperament questionnaire, sonography and ELISA instruments were considered as assessment tools. Intervention group applied PM based diet whereas control group had their ordinary diet. Ovulation stimulation was done for both groups and they were evaluated through 3 months. Data were analyzed by descriptive statistics (mean, standard deviation, and relative abundance), independent T test, Fisher’s exact test and Khi 2 test. Results: The mean frequency of pregnancy was statistically different from sonographic criteria including fetal heart rate (P = 0.017) in both groups, and 76.7% in the heart rate control group and 53.3% in the heart rate test group The embryo was seen. Conclusion: As the results of current study have shown, PM based diet was efficient for follicle growth and occurrence of pregnancy; so it may be recommended a complementary treatment for infertile patients.

Authors

Nasrin jamebozorg

Department of Midwifery, School of Nursing and Midwifery, Iran University of Medical Sciences,

Leila Neisani Samani

Department of Midwifery, School of Nursing and Midwifery, Iran University of Medical Sciences,

Mohsen Naseri

Traditional Medicine Clinical Trial Research Center,Shahed University, Tehran

Robabeh Mohammad Beigi

Department of Biostatistics, Faculty of Management and Information Technology, Iran University of Medical Sciences