Prevalence, regional distribution, and determinants of infertility in Uganda between 2006 and 2016: analysis of three Demographic and Health Surveys

# Background Low- and middle-income countries, particularly in the African region in-country distribution and determinants of infertility are understudied. In this study, we aimed to estimate the prevalence, regional distribution, and determinants of infertility in Uganda to inform programming. # Methods We estimated the prevalence of primary and secondary infertility among women aged 20-49 years using data from the three rounds of the Uganda Demographic and Health Survey 2006, 2011, and 2016, and compared the differences across geographic regions. We pooled data sets for all three years and conducted logistic regression to identify factors associated with infertility. # Results We included 16,537 women aged 20-49 years for analysis of primary infertility and 12,628 for secondary infertility. The overall prevalence of infertility (pooled across the three surveys was 6.4%. The prevalence of primary infertility was 1.4% (95% Confidence interval, CI=1.0-1.8), 0.7% (95% CI=0.5-1.0) and 0.8% (95% CI=0.6-1.0) in 2006, 2011 and 2016, respectively. The prevalence of secondary infertility was 7.4% (95% CI=6.5-8.4), 6.9% (95% CI=5.9-8.0) and 7.1% (95% CI=6.4-7.9) in 2006, 2011, and 2016 respectively. The prevalence of primary infertility was similar across regions. Secondary infertility was highest in the Central (7.9%, 95% CI= 6.1-10.3, in 2016) and Northern regions (7.4%, 95% CI=6.1-8.9, in 2016). In all survey years, women with higher education had lower odds of secondary infertility compared to women with no education (adjusted odds ratio, aOR=0.54, 95% CI=0.35-0.83; *P* \< 0.001). # Conclusions Our results suggest that the prevalence of primary infertility is similar across regions, whereas secondary infertility varies by region, with higher prevalence in Central and Northern regions. More research is required to understand the drivers behind the variation of secondary infertility across regions to inform policy and decision making.