Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systems

Neighborhood-level social determinants are increasingly recognized as factors shaping mental health in adults. Data-driven informatics methods and geographic information systems (GIS) offer innovative approaches for quantifying neighborhood attributes and studying their influence on mental health. G...

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Main Authors: Young Shin Park, Jean F. Wyman, Barbara J. McMorris, Lisiane Pruinelli, Ying Song, Merrie J. Kaas, Scott E. Sherman, Steven Fu
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Preventive Medicine Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211335521002369
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spelling doaj-837c4c700be6460095607a59e1398cd02021-09-07T04:13:14ZengElsevierPreventive Medicine Reports2211-33552021-12-0124101546Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systemsYoung Shin Park0Jean F. Wyman1Barbara J. McMorris2Lisiane Pruinelli3Ying Song4Merrie J. Kaas5Scott E. Sherman6Steven Fu7School of Nursing, University of Minnesota, Minneapolis, MN, USA; Mo-Im Kim Nursing Research Institute College of Nursing, Yonsei University, Seoul, South Korea; Corresponding author at: Mo-Im Kim Nursing Research Institute College of Nursing, Yonsei University, 50-1 Yonsei-ro, Sedaemun-gu, Seoul 03722, South Korea.School of Nursing, University of Minnesota, Minneapolis, MN, USASchool of Nursing, University of Minnesota, Minneapolis, MN, USASchool of Nursing, University of Minnesota, Minneapolis, MN, USAGeography, Environment and Society, University of Minnesota, Minneapolis, MN, USAVA New York Harbor Healthcare System, USA; Department of Population Health, New York University School of Medicine, USAVA New York Harbor Healthcare System, USA; Department of Population Health, New York University School of Medicine, USACenter for Chronic Disease Outcomes Research, VA Health Services Research and Development Center of Innovation, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA; Department of Medicine, University of Minnesota Medical School, USANeighborhood-level social determinants are increasingly recognized as factors shaping mental health in adults. Data-driven informatics methods and geographic information systems (GIS) offer innovative approaches for quantifying neighborhood attributes and studying their influence on mental health. Guided by a modification of Andersen’s Behavioral Model of Health Service Use framework, this cross-sectional study examined associations of neighborhood resource groups with psychological distress and depressive symptoms in 1,528 U.S. Veterans. Data came from the Veteran Affairs (VA) Health Services Research and Development Proactive Mental Health trial and publicly available sources. Hierarchical clustering based on the proportions of neighborhood resources within walkable distance was used to identify neighborhood resource groups and generalized estimating equations analyzed the association of identified neighborhood resource groups with mental health outcomes. Few resources were found in walkable areas except alcohol and/or tobacco outlets. In clustering analysis, four meaningful neighborhood groups were identified characterized by alcohol and tobacco outlets. Living in an alcohol-permissive and tobacco-restrictive neighborhood was associated with increased psychological distress but not depressive symptoms. Living in urban or rural areas and access to VA care facilities were not associated with either outcome. These findings can be used in developing community-based mental health-promoting interventions and public health policies such as zoning policies to regulate alcohol outlets in neighborhoods. Augmenting community-based services with Veteran-specialized services in neighborhoods where Veterans live provides opportunities for improving their mental health.http://www.sciencedirect.com/science/article/pii/S2211335521002369Neighborhood resourcesClusteringDepressive symptomsPsychological distressGeographic information systems
collection DOAJ
language English
format Article
sources DOAJ
author Young Shin Park
Jean F. Wyman
Barbara J. McMorris
Lisiane Pruinelli
Ying Song
Merrie J. Kaas
Scott E. Sherman
Steven Fu
spellingShingle Young Shin Park
Jean F. Wyman
Barbara J. McMorris
Lisiane Pruinelli
Ying Song
Merrie J. Kaas
Scott E. Sherman
Steven Fu
Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systems
Preventive Medicine Reports
Neighborhood resources
Clustering
Depressive symptoms
Psychological distress
Geographic information systems
author_facet Young Shin Park
Jean F. Wyman
Barbara J. McMorris
Lisiane Pruinelli
Ying Song
Merrie J. Kaas
Scott E. Sherman
Steven Fu
author_sort Young Shin Park
title Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systems
title_short Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systems
title_full Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systems
title_fullStr Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systems
title_full_unstemmed Evaluation of neighborhood resources and mental health in American military Veterans using geographic information systems
title_sort evaluation of neighborhood resources and mental health in american military veterans using geographic information systems
publisher Elsevier
series Preventive Medicine Reports
issn 2211-3355
publishDate 2021-12-01
description Neighborhood-level social determinants are increasingly recognized as factors shaping mental health in adults. Data-driven informatics methods and geographic information systems (GIS) offer innovative approaches for quantifying neighborhood attributes and studying their influence on mental health. Guided by a modification of Andersen’s Behavioral Model of Health Service Use framework, this cross-sectional study examined associations of neighborhood resource groups with psychological distress and depressive symptoms in 1,528 U.S. Veterans. Data came from the Veteran Affairs (VA) Health Services Research and Development Proactive Mental Health trial and publicly available sources. Hierarchical clustering based on the proportions of neighborhood resources within walkable distance was used to identify neighborhood resource groups and generalized estimating equations analyzed the association of identified neighborhood resource groups with mental health outcomes. Few resources were found in walkable areas except alcohol and/or tobacco outlets. In clustering analysis, four meaningful neighborhood groups were identified characterized by alcohol and tobacco outlets. Living in an alcohol-permissive and tobacco-restrictive neighborhood was associated with increased psychological distress but not depressive symptoms. Living in urban or rural areas and access to VA care facilities were not associated with either outcome. These findings can be used in developing community-based mental health-promoting interventions and public health policies such as zoning policies to regulate alcohol outlets in neighborhoods. Augmenting community-based services with Veteran-specialized services in neighborhoods where Veterans live provides opportunities for improving their mental health.
topic Neighborhood resources
Clustering
Depressive symptoms
Psychological distress
Geographic information systems
url http://www.sciencedirect.com/science/article/pii/S2211335521002369
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