The Iranian Journal of Obstetrics, Gynecology and Infertility

The Iranian Journal of Obstetrics, Gynecology and Infertility

Association between seasonal patterns and preeclampsia

Document Type : Original Article

Authors
samaneh Shahidifar 1
Hamid Sharifnia 2
Behzad Taghipoor 1
Mitra Hekmat Afshar 3
Reihaneh Motevalli 1
Yoones khalili 1
Fahime Mazraie 1
1 Nursing graduate, Student research committee, School of Nursing and midwifery, Mazandaran University of Medical sciences, Sari, Iran.
2 Assistant Professor, Department of nursing and midwifery, School of Nursing and midwifery, Mazandaran University of Medical Sciences, Sari, Iran
3 PhD student of nursing, School of Nursing and midwifery, Shahid Beheshti university of medical sciences, Tehran, Iran.
10.22038/ijogi.2014.3699
Abstract
Introduction: Hypertensive disorders in pregnancy lead to serious complications such as bleeding and infection that is associated with increased mortality. This study was performed with the aim of evaluating the association between seasonal patterns and preeclampsia
Methods: This case-control study was performed on 455 pregnant women (205 with preeclampsia and 250 without preeclampsia) who had referred to the maternity of Amol Imam Ali hospital after 20 weeks of gestation from 2008-2013. Data such as demographic characteristics and history of mothers' disease were collected from medical records on file available in the hospital. Data analysis was performed with SPSS software (version 20) and Chi-square, Fisher's exact, Mann–Whitney U tests, simple and multiple logistic regression. PResults: the highest incidence of preeclampsia was in the fall (31.21%) and then in the winter (28.78%). Chi-square test results showed that there was significant relationship between preeclampsia and the history of abortion, diabetes, hypertension and twin pregnancy (P<0.05). Also, Mann–Whitney U results showed that the mean maternal age was 28.61±6.00 years, gestational age 35.75±3.50, and birth weight 2600.73±841.28 in mothers with preeclampsia which were significantly different with healthy women.(p<0/05)
Conclusion: Understanding the relationship between different weather patterns and preeclampsia can be useful in identifying triggers of the risk of preeclampsia. Also, the results of this study can help to design the plans to perform preventive and treatment measures in susceptible pregnant women and decrease serious complications which threaten the mother and fetus.
Keywords
Preeclampsia
pregnancy
Rick Factors
Season
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