title: Predictive Factors for Pelvic Organ Prolapse (POP) in Iranian Women's: An Ordinal Logistic Approch.
abstract: BACKGROUND
  To investigate the predictors factors of Pelvic Organ Prolapse (POP) in Iranian women by using ordinal logistic regression.
  
  
  METHODS
  The role of risk factors of POP was evaluated among 365 patients attending in two public centres in Ilam province, Iran. Exclusion criteria were of single, pregnant and lactate women receiving hormone replacement therapy. Both the unvaried and multi-variate ordinal logistic regression were used to find the predictive factors of POP and computing sensitivity and specificity of models.
  
  
  RESULTS
  In multi-variate ordinal logistic regression the variables of Body Mass Index (BMI) Maximum Birth Weight (MBW) and delivery mode were the most important factors for prediction of prolapse stage. The sensitivity and specificity of multi-variate ordinal logistic, as a screening test, were 95.7% and 48.7% respectively.
  
  
  CONCLUSIONS
  BMI, MBW and delivery mode can use for prediction of POP stage. Stage of prolapse is an ordinal variable, therefore to show relationship between stage of prolapse and other variables ordinal logistic regression is an appropriate model.
authors.affiliation: PhD by Research Group, Psychosocial Injuries Research Center, Ilam University of Medical Sciences , Ilam, Iran .
authors.forename: Ashraf
authors.initials: A
authors.lastname: Direkvand-Moghadam
authors.affiliation: Department of Midwifery, Faculty of Nursing and Midwifery, Ilam University of Medical Sciences , Ilam, Iran .
authors.forename: Zeinab
authors.initials: Z
authors.lastname: Ghazanfari
authors.affiliation: Department of Public Health, Ilam University of Medical Sciences , Ilam, Iran .
authors.forename: Kourosh
authors.initials: K
authors.lastname: Sayehmiri
keywords: Dorsal Lithotomy position ligament; Ordinal Logistic Regression; Pelvic Organ Prolapse