Small Area Estimation of Mental Distress Among United States Military Veterans in Illinois

Justin T. McDaniel; Minjee Lee; David L. Albright; Hee Y. Lee; Jay Maddock

doi:10.1007/s10597-019-00488-4

Small Area Estimation of Mental Distress Among United States Military Veterans in Illinois

Justin T. McDaniel, Minjee Lee, David L. Albright, Hee Y. Lee, Jay Maddock

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The aim of the present study was to estimate the prevalence of mental distress at the county-level for the service member or veteran (SMV) population in Illinois. Multilevel small-area estimation methodology (SAE) was used to estimate and map the prevalence of SMV mental distress in Illinois counties using data from the 2016 Behavioral Risk Factor Surveillance System. Furthermore, local indicators of spatial association analysis (LISA) was conducted in order to identify hotspots of SMV mental distress in Illinois. For 2016, the average model-based mental distress rate for SMVs in Illinois counties was 8.6%. LISA analysis revealed a significant cluster (p < 0.01) of “high–high” SMV mental distress prevalence in St. Clair County and Clinton County. These findings highlight the importance of examining SMV health from a population perspective and reveal the need for further examination of geographic-based SMV health disparities.

Original language	English (US)
Pages (from-to)	298-302
Number of pages	5
Journal	Community Mental Health Journal
Volume	56
Issue number	2
DOIs	https://doi.org/10.1007/s10597-019-00488-4
State	Published - Feb 1 2020

Keywords

BRFSS
County
Mental distress
Small area estimation
Veteran

ASJC Scopus subject areas

Health(social science)
Public Health, Environmental and Occupational Health
Psychiatry and Mental health

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10.1007/s10597-019-00488-4

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title = "Small Area Estimation of Mental Distress Among United States Military Veterans in Illinois",

abstract = "The aim of the present study was to estimate the prevalence of mental distress at the county-level for the service member or veteran (SMV) population in Illinois. Multilevel small-area estimation methodology (SAE) was used to estimate and map the prevalence of SMV mental distress in Illinois counties using data from the 2016 Behavioral Risk Factor Surveillance System. Furthermore, local indicators of spatial association analysis (LISA) was conducted in order to identify hotspots of SMV mental distress in Illinois. For 2016, the average model-based mental distress rate for SMVs in Illinois counties was 8.6%. LISA analysis revealed a significant cluster (p < 0.01) of “high–high” SMV mental distress prevalence in St. Clair County and Clinton County. These findings highlight the importance of examining SMV health from a population perspective and reveal the need for further examination of geographic-based SMV health disparities.",

keywords = "BRFSS, County, Mental distress, Small area estimation, Veteran",

author = "McDaniel, {Justin T.} and Minjee Lee and Albright, {David L.} and Lee, {Hee Y.} and Jay Maddock",

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AU - McDaniel, Justin T.

AU - Lee, Minjee

AU - Albright, David L.

AU - Lee, Hee Y.

AU - Maddock, Jay

PY - 2020/2/1

Y1 - 2020/2/1

N2 - The aim of the present study was to estimate the prevalence of mental distress at the county-level for the service member or veteran (SMV) population in Illinois. Multilevel small-area estimation methodology (SAE) was used to estimate and map the prevalence of SMV mental distress in Illinois counties using data from the 2016 Behavioral Risk Factor Surveillance System. Furthermore, local indicators of spatial association analysis (LISA) was conducted in order to identify hotspots of SMV mental distress in Illinois. For 2016, the average model-based mental distress rate for SMVs in Illinois counties was 8.6%. LISA analysis revealed a significant cluster (p < 0.01) of “high–high” SMV mental distress prevalence in St. Clair County and Clinton County. These findings highlight the importance of examining SMV health from a population perspective and reveal the need for further examination of geographic-based SMV health disparities.

AB - The aim of the present study was to estimate the prevalence of mental distress at the county-level for the service member or veteran (SMV) population in Illinois. Multilevel small-area estimation methodology (SAE) was used to estimate and map the prevalence of SMV mental distress in Illinois counties using data from the 2016 Behavioral Risk Factor Surveillance System. Furthermore, local indicators of spatial association analysis (LISA) was conducted in order to identify hotspots of SMV mental distress in Illinois. For 2016, the average model-based mental distress rate for SMVs in Illinois counties was 8.6%. LISA analysis revealed a significant cluster (p < 0.01) of “high–high” SMV mental distress prevalence in St. Clair County and Clinton County. These findings highlight the importance of examining SMV health from a population perspective and reveal the need for further examination of geographic-based SMV health disparities.

KW - BRFSS

KW - County

KW - Mental distress

KW - Small area estimation

KW - Veteran

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Small Area Estimation of Mental Distress Among United States Military Veterans in Illinois

Abstract

Keywords

ASJC Scopus subject areas

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