International Journal of Reproductive BioMedicine
Research and Clinical Center for Infertility, Shahid Sadoughi University of Medical Sciences of Yazd
Vol. 2, No. 2, 2004, pp. 78-81
Bioline Code: rm04017
Full paper language: English
Document type: Research Article
Document available free of charge
International Journal of Reproductive BioMedicine, Vol. 2, No. 2, 2004, pp. 78-81
© Copyright 2004 - Iranian Journal of Reproductive Medicine
The Relationship between Seasonal Variability and Pregnancy Rates in Women Undergoing Assisted Reproductive Technique|
Vahidi, Alireza; Kalantar, Seyed Mehdi; Soleimani, Mehrdad; Arjmand, Mohammad Hossein Amir; Aflatoonian, Abbas; Karimzadeh, Mohammad Ali & Kermaninejhad, Afsaneh
Studies in regions with seasonal climatic variations have revealed a correlation between human natural conception and birth rates. Holidays and other cultural activities probably have influence on conception, but the ambient temperature and emotional influences on the female hormones related to fertility may play an important part in the seasonal variation in conception.
The aim of study was to determine the relationship between the success rate of Assisted Reproductive Technique (ART) treatment cycles and temperature in different seasons.
Materials and Methods:
A retrospective study on all individuals undergoing assisted ART at our institution was performed during June 2000 to June 2001. The study population represented 258 IVF-ET cycles and 821 ICSI treatment cycles. Different variables were analyzed using χ2 test.
In IVF treatment cycles, conception was more common from early spring (March to June). This decreased from spring, with the minimum in fall, 22% and 14%, respectably. A significant seasonal variability in the number of eggs, embryo transferred and sperm motility was not demonstrated (p>0.05), but sperm count was significantly higher in spring than any other season (72±4 x106 and 52±7x106, respectively).
The seasonal changes should be taken into account together with other factors when evaluating infertility data.
Seasonal variation, Pregnancy rate, IVF-ET, ART, Infertility
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