Ontology highlight
ABSTRACT: Background
As the World Trade Center (WTC) General Responder Cohort ages, it is imperative to study their aging process and identify factors that can be targeted for interventions.Objectives
Our goal was to utilize a previously developed WTC Clinical Frailty Index (CFI) to identify distinct frailty trajectories and associated factors in this cohort.Design
A latent class mixed model evaluated frailty trajectories using WTC CFIs. Multinomial regression models were used to assess associations between frailty trajectory and sociodemographic and WTC characteristics.Setting
We utilized data collected during routine WTC monitoring visits from 2004 until 2021.Participants
The participants were WTC general responders.Measurements
Relative risk ratios
SUBMITTER: Thompson HM
PROVIDER: S-EPMC12004615 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature