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Low income, community poverty and risk of end stage renal disease

BACKGROUND: The risk of end stage renal disease (ESRD) is increased among individuals with low income and in low income communities. However, few studies have examined the relation of both individual and community socioeconomic status (SES) with incident ESRD. METHODS: Among 23,314 U.S. adults in th...

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Autores principales: Crews, Deidra C, Gutiérrez, Orlando M, Fedewa, Stacey A, Luthi, Jean-Christophe, Shoham, David, Judd, Suzanne E, Powe, Neil R, McClellan, William M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269852/
https://www.ncbi.nlm.nih.gov/pubmed/25471628
http://dx.doi.org/10.1186/1471-2369-15-192
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author Crews, Deidra C
Gutiérrez, Orlando M
Fedewa, Stacey A
Luthi, Jean-Christophe
Shoham, David
Judd, Suzanne E
Powe, Neil R
McClellan, William M
author_facet Crews, Deidra C
Gutiérrez, Orlando M
Fedewa, Stacey A
Luthi, Jean-Christophe
Shoham, David
Judd, Suzanne E
Powe, Neil R
McClellan, William M
author_sort Crews, Deidra C
collection PubMed
description BACKGROUND: The risk of end stage renal disease (ESRD) is increased among individuals with low income and in low income communities. However, few studies have examined the relation of both individual and community socioeconomic status (SES) with incident ESRD. METHODS: Among 23,314 U.S. adults in the population-based Reasons for Geographic and Racial Differences in Stroke study, we assessed participant differences across geospatially-linked categories of county poverty [outlier poverty, extremely high poverty, very high poverty, high poverty, neither (reference), high affluence and outlier affluence]. Multivariable Cox proportional hazards models were used to examine associations of annual household income and geospatially-linked county poverty measures with incident ESRD, while accounting for death as a competing event using the Fine and Gray method. RESULTS: There were 158 ESRD cases during follow-up. Incident ESRD rates were 178.8 per 100,000 person-years (10(5) py) in high poverty outlier counties and were 76.3 /10(5) py in affluent outlier counties, p trend = 0.06. In unadjusted competing risk models, persons residing in high poverty outlier counties had higher incidence of ESRD (which was not statistically significant) when compared to those persons residing in counties with neither high poverty nor affluence [hazard ratio (HR) 1.54, 95% Confidence Interval (CI) 0.75-3.20]. This association was markedly attenuated following adjustment for socio-demographic factors (age, sex, race, education, and income); HR 0.96, 95% CI 0.46-2.00. However, in the same adjusted model, income was independently associated with risk of ESRD [HR 3.75, 95% CI 1.62-8.64, comparing the < $20,000 income group to the > $75,000 group]. There were no statistically significant associations of county measures of poverty with incident ESRD, and no evidence of effect modification. CONCLUSIONS: In contrast to annual family income, geospatially-linked measures of county poverty have little relation with risk of ESRD. Efforts to mitigate socioeconomic disparities in kidney disease may be best appropriated at the individual level.
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spelling pubmed-42698522014-12-18 Low income, community poverty and risk of end stage renal disease Crews, Deidra C Gutiérrez, Orlando M Fedewa, Stacey A Luthi, Jean-Christophe Shoham, David Judd, Suzanne E Powe, Neil R McClellan, William M BMC Nephrol Research Article BACKGROUND: The risk of end stage renal disease (ESRD) is increased among individuals with low income and in low income communities. However, few studies have examined the relation of both individual and community socioeconomic status (SES) with incident ESRD. METHODS: Among 23,314 U.S. adults in the population-based Reasons for Geographic and Racial Differences in Stroke study, we assessed participant differences across geospatially-linked categories of county poverty [outlier poverty, extremely high poverty, very high poverty, high poverty, neither (reference), high affluence and outlier affluence]. Multivariable Cox proportional hazards models were used to examine associations of annual household income and geospatially-linked county poverty measures with incident ESRD, while accounting for death as a competing event using the Fine and Gray method. RESULTS: There were 158 ESRD cases during follow-up. Incident ESRD rates were 178.8 per 100,000 person-years (10(5) py) in high poverty outlier counties and were 76.3 /10(5) py in affluent outlier counties, p trend = 0.06. In unadjusted competing risk models, persons residing in high poverty outlier counties had higher incidence of ESRD (which was not statistically significant) when compared to those persons residing in counties with neither high poverty nor affluence [hazard ratio (HR) 1.54, 95% Confidence Interval (CI) 0.75-3.20]. This association was markedly attenuated following adjustment for socio-demographic factors (age, sex, race, education, and income); HR 0.96, 95% CI 0.46-2.00. However, in the same adjusted model, income was independently associated with risk of ESRD [HR 3.75, 95% CI 1.62-8.64, comparing the < $20,000 income group to the > $75,000 group]. There were no statistically significant associations of county measures of poverty with incident ESRD, and no evidence of effect modification. CONCLUSIONS: In contrast to annual family income, geospatially-linked measures of county poverty have little relation with risk of ESRD. Efforts to mitigate socioeconomic disparities in kidney disease may be best appropriated at the individual level. BioMed Central 2014-12-04 /pmc/articles/PMC4269852/ /pubmed/25471628 http://dx.doi.org/10.1186/1471-2369-15-192 Text en © Crews et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Crews, Deidra C
Gutiérrez, Orlando M
Fedewa, Stacey A
Luthi, Jean-Christophe
Shoham, David
Judd, Suzanne E
Powe, Neil R
McClellan, William M
Low income, community poverty and risk of end stage renal disease
title Low income, community poverty and risk of end stage renal disease
title_full Low income, community poverty and risk of end stage renal disease
title_fullStr Low income, community poverty and risk of end stage renal disease
title_full_unstemmed Low income, community poverty and risk of end stage renal disease
title_short Low income, community poverty and risk of end stage renal disease
title_sort low income, community poverty and risk of end stage renal disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269852/
https://www.ncbi.nlm.nih.gov/pubmed/25471628
http://dx.doi.org/10.1186/1471-2369-15-192
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