A “Swiss paradox” in the United States? Level of spatial aggregation changes the association between income inequality and morbidity for older Americans

Abstract Although a preponderance of research indicates that increased income inequality negatively impacts population health, several international studies found that a greater income inequality was associated with better population health when measured on a fine geographic level of aggregation. Th...

Full description

Bibliographic Details
Main Authors: Steven A. Cohen, Mary L. Greaney, Ann C. Klassen
Format: Article
Language:English
Published: BMC 2019-11-01
Series:International Journal of Health Geographics
Online Access:http://link.springer.com/article/10.1186/s12942-019-0192-x
id doaj-f7225b7c712948bc941c04c6edceb0e0
record_format Article
spelling doaj-f7225b7c712948bc941c04c6edceb0e02020-11-25T01:12:32ZengBMCInternational Journal of Health Geographics1476-072X2019-11-0118111210.1186/s12942-019-0192-xA “Swiss paradox” in the United States? Level of spatial aggregation changes the association between income inequality and morbidity for older AmericansSteven A. Cohen0Mary L. Greaney1Ann C. Klassen2Department of Health Studies, University of Rhode IslandDepartment of Health Studies, University of Rhode IslandDornsife School of Public Health, Drexel UniversityAbstract Although a preponderance of research indicates that increased income inequality negatively impacts population health, several international studies found that a greater income inequality was associated with better population health when measured on a fine geographic level of aggregation. This finding is known as a “Swiss paradox”. To date, no studies have examined variability in the associations between income inequality and health outcomes by spatial aggregation level in the US. Therefore, this study examined associations between income inequality (Gini index, GI) and population health by geographic level using a large, nationally representative dataset of older adults. We geographically linked respondents’ county data from the 2012 Behavioral Risk Factor Surveillance System to 2012 American Community Survey data. Using generalized linear models, we estimated the association between GI decile on the state and county levels and five population health outcomes (diabetes, obesity, smoking, sedentary lifestyle and self-rated health), accounting for confounders and complex sampling. Although state-level GI was not significantly associated with obesity rates (b = − 0.245, 95% CI − 0.497, 0.008), there was a significant, negative association between county-level GI and obesity rates (b = − 0.416, 95% CI − 0.629, − 0.202). State-level GI also associated with an increased diabetes rate (b = 0.304, 95% CI 0.063, 0.546), but the association was not significant for county-level GI and diabetes rate (b = − 0.101, 95% CI − 0.305, 0.104). Associations between both county-level GI and state-level GI and current smoking status were also not significant. These findings show the associations between income inequality and health vary by spatial aggregation level and challenge the preponderance of evidence suggesting that income inequality is consistently associated with worse health. Further research is needed to understand the nuances behind these observed associations to design informed policies and programs designed to reduce socioeconomic health inequities among older adults.http://link.springer.com/article/10.1186/s12942-019-0192-x
collection DOAJ
language English
format Article
sources DOAJ
author Steven A. Cohen
Mary L. Greaney
Ann C. Klassen
spellingShingle Steven A. Cohen
Mary L. Greaney
Ann C. Klassen
A “Swiss paradox” in the United States? Level of spatial aggregation changes the association between income inequality and morbidity for older Americans
International Journal of Health Geographics
author_facet Steven A. Cohen
Mary L. Greaney
Ann C. Klassen
author_sort Steven A. Cohen
title A “Swiss paradox” in the United States? Level of spatial aggregation changes the association between income inequality and morbidity for older Americans
title_short A “Swiss paradox” in the United States? Level of spatial aggregation changes the association between income inequality and morbidity for older Americans
title_full A “Swiss paradox” in the United States? Level of spatial aggregation changes the association between income inequality and morbidity for older Americans
title_fullStr A “Swiss paradox” in the United States? Level of spatial aggregation changes the association between income inequality and morbidity for older Americans
title_full_unstemmed A “Swiss paradox” in the United States? Level of spatial aggregation changes the association between income inequality and morbidity for older Americans
title_sort “swiss paradox” in the united states? level of spatial aggregation changes the association between income inequality and morbidity for older americans
publisher BMC
series International Journal of Health Geographics
issn 1476-072X
publishDate 2019-11-01
description Abstract Although a preponderance of research indicates that increased income inequality negatively impacts population health, several international studies found that a greater income inequality was associated with better population health when measured on a fine geographic level of aggregation. This finding is known as a “Swiss paradox”. To date, no studies have examined variability in the associations between income inequality and health outcomes by spatial aggregation level in the US. Therefore, this study examined associations between income inequality (Gini index, GI) and population health by geographic level using a large, nationally representative dataset of older adults. We geographically linked respondents’ county data from the 2012 Behavioral Risk Factor Surveillance System to 2012 American Community Survey data. Using generalized linear models, we estimated the association between GI decile on the state and county levels and five population health outcomes (diabetes, obesity, smoking, sedentary lifestyle and self-rated health), accounting for confounders and complex sampling. Although state-level GI was not significantly associated with obesity rates (b = − 0.245, 95% CI − 0.497, 0.008), there was a significant, negative association between county-level GI and obesity rates (b = − 0.416, 95% CI − 0.629, − 0.202). State-level GI also associated with an increased diabetes rate (b = 0.304, 95% CI 0.063, 0.546), but the association was not significant for county-level GI and diabetes rate (b = − 0.101, 95% CI − 0.305, 0.104). Associations between both county-level GI and state-level GI and current smoking status were also not significant. These findings show the associations between income inequality and health vary by spatial aggregation level and challenge the preponderance of evidence suggesting that income inequality is consistently associated with worse health. Further research is needed to understand the nuances behind these observed associations to design informed policies and programs designed to reduce socioeconomic health inequities among older adults.
url http://link.springer.com/article/10.1186/s12942-019-0192-x
work_keys_str_mv AT stevenacohen aswissparadoxintheunitedstateslevelofspatialaggregationchangestheassociationbetweenincomeinequalityandmorbidityforolderamericans
AT marylgreaney aswissparadoxintheunitedstateslevelofspatialaggregationchangestheassociationbetweenincomeinequalityandmorbidityforolderamericans
AT anncklassen aswissparadoxintheunitedstateslevelofspatialaggregationchangestheassociationbetweenincomeinequalityandmorbidityforolderamericans
AT stevenacohen swissparadoxintheunitedstateslevelofspatialaggregationchangestheassociationbetweenincomeinequalityandmorbidityforolderamericans
AT marylgreaney swissparadoxintheunitedstateslevelofspatialaggregationchangestheassociationbetweenincomeinequalityandmorbidityforolderamericans
AT anncklassen swissparadoxintheunitedstateslevelofspatialaggregationchangestheassociationbetweenincomeinequalityandmorbidityforolderamericans
_version_ 1725165762161672192