Author/Authors :
Direkvand-Moghadam, Ashraf Psychosocial Injuries Research Center - Ilam University of Medical Sciences , Ghazanfari, Zeinab Health Education Dept - Ilam University of Medical Sciences , Montazeri, Ali Iranian Institute for Health Sciences Research, Tehran , Delpisheh, Ali Epidemiology Dept - Ilam University of Medical Sciences , Direkvand-Moghadam, Azadeh Student Research Committee - Ilam University of Medical Sciences
Abstract :
Background and aims: Pelvic organ prolapse (POP) is a common condition which
affects on a large proportion of women. The objective of this study was to determine the
risk factors of POP in Iranian women.
Methods: This cross-sectional study was carried out to examine the role of demographic,
anthropometric and clinical characteristics in POP disease in a sample of 365 females in
Ilam, Iran. Examinations were performed according to Pelvic Organ Prolapse
Quantification (POPQ) technique in dorsal lithotomic position. Then, the sample divided
into two groups as with and without prolapse. Then, unilabiate and multivariate analyses
were performed.
Results: Totally, 365 women participated in this study. The prevalence of POP was
80.8%. Univariate logistic regression analysis showed a significant differences between
groups with and without POP based on age, maximum birth weight, BMI, pregnancy,
delivery mode, delivery operative and delivery position. But after multivariate analysis,
the most significant factors identified as risk factors for POP were age (OR= 1.12, 95%
CI= 1.02-1.23, P= 0.02), normal vaginal delivery (NVD; OR= 6.18, 95% CI= 1.43-26.75,
P= 0.01) and episiotomy (OR= 30, 95% CI= 5.69-158.11, P= 0.000).
Conclusion: Findings of the study showed that several risk factors could collaborate in
creating of POP. However; body mass index and number of pregnancies are modifiable
factors. So, maternal care providers should educate women for maintaining the ideal
weight and decreasing the number of pregnancy in order to prevent POP.
Keywords :
Ilam , Multivariate analysis , Pelvic organ prolapse , Univariate analysis