Sociodemographic and Health Factors Are Associated with Antimicrobial Resistance across Eight States in the United States.

ABSTRACT: Recent studies suggest that country-level socioeconomic factors may explain antimicrobial resistance (AMR) patterns better than antimicrobial usage (AMU), but it remains unclear whether this holds for sociodemographic and health variation within countries. We used metagenomic analysis of untreated sewage to cross-sectionally characterize the bacterial resistome as a proxy for AMR at 44 wastewater treatment plants across eight USA states between 2019 and 2020. We examined associations between AMR with site-specific sociodemographic and health indicators and AMU. Spatial autocorrelation analyses were used to identify clusters of AMR. Gradient-boosted multivariate regression trees were applied to evaluate individual and joint predictor effects on AMR. Outpatient AMU explained negligible varia

SUBMITTER: Njage PMK 

PROVIDER: S-EPMC12810248 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature