Identifying Profiles of Support for Legal Abortion Services in Zambia: A Latent Class Analysis.

ABSTRACT: Relative to neighboring countries, Zambia has among the most progressive abortion policies, but numerous sociopolitical constraints inhibit knowledge of pregnancy termination rights and access to safe abortion services. Multistage cluster sampling was used to randomly select 1,486 women aged 15-44 years from households in three provinces. We used latent class analysis (LCA) to partition women into discrete groups based on patterns of endorsed support for legalized abortion on six socioeconomic and health conditions. Predictors of probabilistic membership in latent profiles of support for legal abortion services were identified through mixture modeling. A three-class solution of support patterns for legal abortion services emerged from LCA: (1) legal abortion opponents (∼58 percent) opposed

SUBMITTER: Rosen JG 

PROVIDER: S-EPMC10960669 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature