A multilevel analysis of trends and predictors associated with teenage pregnancy in Zambia (2001-2018)

Teenage pregnancy remains a major social and public health challenge in developing countries especially sub-Saharan Africa (SSA) where prevalence rates are still increasing. Even if considerable effort has been made over the years to study determining factors of teenage pregnancy in SSA, few studies have looked at the trends and associated factors over a longer period. Furthermore, no known study has focussed on both individual and contextual factors influencing teenage pregnancy in Zambia. This study, thus sought to fill this gap in knowledge by simultaneously investigating trends of teenage pregnancy as well as its individual and contextual determining factors. A total pooled weighted sample of 10,010 teenagers (in the age group 15-19) from four waves of the Zambia Demographic and Health Surveys were extracted. Using bivariate analysis, we investigated the trends of teenage pregnancy between 2001 and 2018. Separate multilevel logistic regression models were fitted on pooled teenage pregnancy data in relation to several individual and contextual level factors. Both fixed and random effects were produced. Bayesian parameter estimates were produced using lme4 package in R statistical programming environment. Results of the trends of teenage pregnancy in Zambia have shown an overall decrease of 2% between 2001 and 2018. Almost all the socioeconomic and demographic variables were consistently associated with teenage pregnancy (p