Patterns of socioeconomic marginalization and non-fatal overdose among people who use drugs: A gender-stratified repeated measures latent class analysis.

ABSTRACT:

Background

While marked gender-based differences in drug-related risk and harm between men women who use drugs have been characterized to some extent, the complex relationship between gendered socioeconomic conditions, overdose risk, and drug use patterns and behaviours remains underexplored.

Methods

We conducted gender-stratified repeated measures latent class analyses (RMLCA) with data from two ongoing cohorts of people who use drugs in Vancouver, Canada to identify discrete subgroups based on socioeconomic exposures. Multivariable generalized estimating equations models weighted by the respective posterior membership probabilities were applied to estimate the associations between socioeconomic class membership and non-fatal overdose. Sub-analyses investigated whether thes

SUBMITTER: Mitra S 

PROVIDER: S-EPMC12232989 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature