On the Comparative Analysis of Determinant Factors on the use of Condom among Nigerian Youths

Abstract

Condom use during sexual intercourse has been ascertained to be a good contraceptive method that reduces the spread of HIV/STDs. Youths which constitute a high proportion of Nigerians will be at risk of HIV/STDs if they miss the mark to use condom and more research should focus on how to encourage sexually active youths in protected sexual activities. This study utilized NARHS 2007 survey dataset. It focused on sample of males and females aged 15-24 years living in regular households in rural and urban areas in Nigeria. The dependent variables were lifetimes and current use of condom. Data was analysed using Chi-square and logistic regression (á=5.0%). Mean age of the respondent was 19.6±2.8, 25.1% are lifetime use of condom and current use of condom among those who had used condom in their lifetime was 72.2%. Youth’s lifetime use of condom is statistically associated with all the background characteristics except marital status while current use of condom was found to be averse, few of the selected variables such as Sex, Marital status, Number of sexual partners and alcohol intake. The odds of lifetime condom use were higher among older youths aged 20–24 years. Across the six geo-political zones; southern youth are more likely to use condom (OR = 7.2, CI = 4.5 – 11.6). Females are less likely to use condom. Condom use was found to increase as youth’s education increases. Christians and multiple sexual partners are more likely. The youths with low perceived risk of HIV/AIDS are significantly more likely to use condom. Youths that take Alcohol and drugs are more likely to use condom. In addition, the odds of females that are currently using condom decreases by 40% and the singles are three times more likely for current use while youths with multiple sexual partners and those that also take alcohol are significantly more likely three times more using condom.

Keywords: Condom, Sex, HIV/AIDS, Chi-square, Logistic regression