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ABSTRACT: Objectives
Although the WHO and the Centers for Disease Control and Prevention (CDC) classify preconception health risks (PCHRs) into biomedical, behavioural and social categories, this classification remains theoretical, mainly inconsistent and lacks a scientifically robust framework. Data-driven clustering techniques may help clarify this complexity for policymakers and healthcare providers. This study aimed to assess the status of PCHRs and identify latent classes of these risks among women preparing for pregnancy.Design and methods
This community-based cross-sectional study was conducted from 31 July to 16 August 2024 in Tigray, Ethiopia, among 865 married women planning to conceive within the next 6 months. Data were gathered through face-to-face interviews using a str
SUBMITTER: Gebretsadik GG
PROVIDER: S-EPMC12684160 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature