1Assistant Professor, Department of Community Medicine, Dr. Ulhas Patil Medical College and Hospital, Jalgaon Kh. (M.S.)
2Associate Professor, Department of Community Medicine, Dr. Ulhas Patil Medical College and Hospital, Jalgaon Kh. (M.S.)
3Medical officer, ESIS, Jalgaon
*Corresponding Author: Dr. Yogita Amit Hiwarkar, Assistant Professor, Department of Community Medicine, Dr. Ulhas Patil Medical College and Hospital, Jalgaon Kh. (M.S.)
Online published on 21 November, 2013.
Global estimates showed that, between 5–15% of the burden of diseases is associated with failure to address reproductive health needs. More accurate data on RTI/STIs and their underlying causes will result in more appropriate programmatic and policy responses.
To study use of predictors as proxy for determining the possible diagnosis of RTI/STIs
One hundred and thirty three and ninety women suffering from RTI/STI from urban slums and rural area were included in the study. Logistic regression analysis was used to determine predictors of morbidity.
The predictors for RTI/STI in study participants were Parity, sanitary protection use and domestic violence at P<0.05.
Parity, Per Capita Income, Autonomy
