Modern contraceptive utilization and associated factors among younger and older married youth women in Ethiopia: Evidence from Ethiopia Mini Demographic and Health Survey 2019

Abstract

Introduction Utilization of modern contraceptives increases over time but it was still low and varies across ages among married youth woman. This study revealed the prevalence of modern contraceptives and its associated factors among younger and older married youth women. Methods A cross-sectional study design was applied to the sample of EMDHS 2019. Multilevel logistic regressions were carried out using STATA version 16 to identify the individual and community-level factors of modern contraceptive utilization. Adjusted odds ratios with a 95% confidence interval and variables with a p-value < 0.05 were considered to be significant determinants of modern contraceptive utilization. Result In the EMDHS 2019, a total of 3290 married women between ages 15 and 34 were included. Among these 1210 (36.7%) and 2080 (63%) women, they were age groups of 15–24 and 25–34 years, respectively. Modern contraceptive utilization among women aged 15–24 and 25–34 years was 54.23% and 52.6%, respectively. Injection is a commonly used modern contraceptive method. In this study, factors associated with modern contraceptive utilization among women aged 15–24 years include women who had primary education [AOR = 2.22; 95% CI: 1.02–4.83], who had three or more children in the household [AOR = 14.29; 95% CI: 1.61–126.25], Protestants [AOR = 0.29; 95% CI: 0.14–0.61], five to seven households [AOR = 0.34; 95% CI: 0.17–0.69], and region [AOR = 6.98; 95%:2.30–21.16]. On other hand, factors associated with modern contraceptive utilization among women aged 25–34 were women who had one or two under-five children in the household [AOR = 1.66; 95% CI: 1.03–2.68] and region [AOR = 3.54; 95%CI: 1.79–6.97]. Conclusions More than 50% of participants used modern contraceptives in both age groups and, the associated factor of modern contraceptive utilization varied among this age group. Health managers and policymakers need to consider age group, region, educational status, religion, and fertility level in planning of family planning program.