Heterogeneity in Contraceptive Behaviour Dynamics and Unintended Pregnancy through Latent Class Analysis in Zambia

Audrey Kalindi, School of Demography Australian National University
Shao-Tzu Yu, Princeton University

Unmet family planning needs in sub-Saharan Africa continue to contribute to high rates of unintended pregnancies and unsafe abortions, significantly impacting women’s health and well-being. In Zambia, where approximately 20% of women face unmet need for family planning, understanding contraceptive behaviour is critical. This study investigates the diversity in contraceptive use and unintended pregnancies among women of reproductive age using Latent Class Analysis (LCA). Drawing on data from Zambia’s 2013/14 and 2018 Demographic and Health Surveys, the study identifies six distinct patterns of contraceptive behaviour, including women with consistent and inconsistent use, reluctant users, and those in inactive unions. These findings highlight the complexity of contraceptive behaviour, shaped by a combination of sociodemographic and sexual behaviour factors. Unlike prior studies that focus on single factors, this research is intended to address the diverse dynamics influencing contraceptive use. Understanding this heterogeneity is important for improving family planning policies and addressing reproductive health challenges in Zambia and similar high-fertility contexts.

Keywords: Family Planning and Contraception, Sexual and Reproductive Health and Rights

See extended abstract.

  Presented in Session 47. Unmet Need and Unintended Pregnancies