Defining vulnerability subgroups among pregnant women using pre-pregnancy information: a latent class analysis.

ABSTRACT:

Background

Early detection of vulnerability during or before pregnancy can contribute to optimizing the first 1000 days, a crucial period for children's development and health. We aimed to identify classes of vulnerability among pregnant women in the Netherlands using pre-pregnancy data on a wide range of social risk and protective factors, and validate these classes against the risk of adverse outcomes.

Methods

We conducted a latent class analysis based on 42 variables derived from nationwide observational data sources and self-reported data. Variables included individual, socioeconomic, lifestyle, psychosocial and household characteristics, self-reported health, healthcare utilization, life-events and living conditions. We compared classes in relation to adverse outcomes u

SUBMITTER: Molenaar JM 

PROVIDER: S-EPMC10263266 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature