Application of binary logistic regression model: determinants of contraceptive utilization.

Abstract

Contraceptives uptake among the youth has been a sensitive and controversial issue in the society that has resulted to various social problems that include unwanted pregnancies and sexual transmitted infections among others. This requires intervention measures that will promote contraceptive use in order to reduce unwanted pregnancies, sexual transmitted diseases and slow down the spread of sexually transmitted diseases and infection among university students. This study focuses on analysis of clinical data of contractive utilization on youth using binary logistic regression. Stratified random sampling was applied to identify 453 undergraduate students participants . The study established that based on gender, more than 45% females are likely to use contraceptives compared to men, undergraduate students who were from religions like catholic 27% are more likely, protestants 24% more likely and other Christian denomination are 52% less likely to use contraceptives unlike their Muslim counterparts who are 72% more likely to use contraceptives. Use of alcohol does not have association with use of contraceptives though 1% of students who take alcohol are less likely to use contraceptives compared to those who don’t take alcohol. Sexually active are 16% more likely to use contraceptives