title: Community-level risk factors for depression hospitalizations.
abstract: This study measured geographic variation in depression hospitalizations and identified community-level risk factors. Depression hospitalizations were identified from the Statewide Inpatient Database. The dependent variable was specified as the indirectly standardized hospitalization rate. County-level data for 14 states were collected from federal agencies. The Bayesian spatial regression model included socio-demographic, economic, and health system characteristics as independent variables. There were 8.5 depression hospitalizations per 1,000 residents. 8.8% of counties had hospitalization rates 33% greater than the standardized rate. Significant risk factors included unemployment, poverty, physician supply, and hospital bed supply. Significant protective factors included rurality, economic dependence, and housing stress.
authors.affiliation: Health Services Research and Development, Center for Mental Health and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA. FortneyJohnC@uams.edu
authors.forename: John
authors.initials: J
authors.lastname: Fortney
authors.forename: Gerard
authors.initials: G
authors.lastname: Rushton
authors.forename: Scott
authors.initials: S
authors.lastname: Wood
authors.forename: Lixun
authors.initials: L
authors.lastname: Zhang
authors.forename: Stan
authors.initials: S
authors.lastname: Xu
authors.forename: Fran
authors.initials: F
authors.lastname: Dong
authors.forename: Kathryn
authors.initials: K
authors.lastname: Rost
mesh_terms: D019992:Databases as Topic; D003863:Depression / Q000209:etiology*; D005260:Female; D006760:Hospitalization; D006801:Humans; D008297:Male; D012111:Residence Characteristics; D012307:Risk Factors; D014481:United States