Ontology highlight
ABSTRACT: Background and objectives
Suicide rates typically increase during recessions. However, few studies have explored how recessions affect risk among older adults nearing retirement. This study used a large suicide mortality registry to characterize and quantify suicide related to retirement during the Great Recession (GR).Research design and methods
Data come from the National Violent Death Reporting System (NVDRS, 2004-2017; N = 53,298 suicide deaths age ≥50). We analyzed the text narratives (i.e., descriptions of the most salient circumstances to each suicide) of these decedents using natural language processing (NLP) to identify cases that were "retirement-related" (RR, e.g., anticipating, being unable to, or recently retiring). We used time-series analysis to quantify vari
SUBMITTER: Ananthasubramaniam A
PROVIDER: S-EPMC11102010 | biostudies-literature | 2024 Jun
REPOSITORIES: biostudies-literature