Ontology highlight
ABSTRACT: Background
Health risk assessments (HRAs), which often screen for depressive symptoms, are administered to millions of employees and health plan members each year. HRA data provide an opportunity to examine longitudinal trends in depressive symptomatology, as researchers have done previously with other populations.Objective
The primary research questions were: (1) Can we observe longitudinal trajectories in HRA populations like those observed in other study samples? (2) Do HRA variables, which primarily reflect modifiable health risks, help us to identify predictors associated with these trajectories? (3) Can we make meaningful recommendations for population health management, applicable to HRA participants, based on predictors we identify?Methods
This study used gr
SUBMITTER: Bedrosian R
PROVIDER: S-EPMC5392210 | biostudies-literature | 2017 Mar
REPOSITORIES: biostudies-literature