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A Novel Socioeconomic Measure Using Individual Housing Data in Cardiovascular Outcome Research

Background: To assess whether the individual housing-based socioeconomic status (SES) measure termed HOUSES was associated with post-myocardial infarction (MI) mortality. Methods: The study was designed as a population-based cohort study, which compared post-MI mortality among Olmsted County, Minnes...

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Autores principales: Bang, Duk Won, Manemann, Sheila M., Gerber, Yariv, Roger, Veronique L., Lohse, Christine M., Rand-Weaver, Jennifer, Krusemark, Elizabeth, Yawn, Barbara P., Juhn, Young J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245632/
https://www.ncbi.nlm.nih.gov/pubmed/25396769
http://dx.doi.org/10.3390/ijerph111111597
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author Bang, Duk Won
Manemann, Sheila M.
Gerber, Yariv
Roger, Veronique L.
Lohse, Christine M.
Rand-Weaver, Jennifer
Krusemark, Elizabeth
Yawn, Barbara P.
Juhn, Young J.
author_facet Bang, Duk Won
Manemann, Sheila M.
Gerber, Yariv
Roger, Veronique L.
Lohse, Christine M.
Rand-Weaver, Jennifer
Krusemark, Elizabeth
Yawn, Barbara P.
Juhn, Young J.
author_sort Bang, Duk Won
collection PubMed
description Background: To assess whether the individual housing-based socioeconomic status (SES) measure termed HOUSES was associated with post-myocardial infarction (MI) mortality. Methods: The study was designed as a population-based cohort study, which compared post-MI mortality among Olmsted County, Minnesota, USA, residents with different SES as measured by HOUSES using Cox proportional hazards models. Subjects’ addresses at index date of MI were geocoded to real property data to formulate HOUSES (a z-score for housing value, square footage, and numbers of bedrooms and bathrooms). Educational levels were used as a comparison for the HOUSES index. Results: 637 of the 696 eligible patients with MI (92%) were successfully geocoded to real property data. Post-MI survival rates were 60% (50–72), 78% (71–85), 72% (60–87), and 87% (81–93) at 2 years for patients in the first (the lowest SES), second, third, and fourth quartiles of HOUSES, respectively (p < 0.001). HOUSES was associated with post-MI all-cause mortality, controlling for all variables except age and comorbidity (p = 0.036) but was not significant after adjusting for age and comorbidity (p = 0.24). Conclusions: Although HOUSES is associated with post-MI mortality, the differential mortality rates by HOUSES were primarily accounted for by age and comorbid conditions. HOUSES may be useful for health disparities research concerning cardiovascular outcomes, especially in overcoming the paucity of conventional SES measures in commonly used datasets.
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spelling pubmed-42456322014-12-02 A Novel Socioeconomic Measure Using Individual Housing Data in Cardiovascular Outcome Research Bang, Duk Won Manemann, Sheila M. Gerber, Yariv Roger, Veronique L. Lohse, Christine M. Rand-Weaver, Jennifer Krusemark, Elizabeth Yawn, Barbara P. Juhn, Young J. Int J Environ Res Public Health Article Background: To assess whether the individual housing-based socioeconomic status (SES) measure termed HOUSES was associated with post-myocardial infarction (MI) mortality. Methods: The study was designed as a population-based cohort study, which compared post-MI mortality among Olmsted County, Minnesota, USA, residents with different SES as measured by HOUSES using Cox proportional hazards models. Subjects’ addresses at index date of MI were geocoded to real property data to formulate HOUSES (a z-score for housing value, square footage, and numbers of bedrooms and bathrooms). Educational levels were used as a comparison for the HOUSES index. Results: 637 of the 696 eligible patients with MI (92%) were successfully geocoded to real property data. Post-MI survival rates were 60% (50–72), 78% (71–85), 72% (60–87), and 87% (81–93) at 2 years for patients in the first (the lowest SES), second, third, and fourth quartiles of HOUSES, respectively (p < 0.001). HOUSES was associated with post-MI all-cause mortality, controlling for all variables except age and comorbidity (p = 0.036) but was not significant after adjusting for age and comorbidity (p = 0.24). Conclusions: Although HOUSES is associated with post-MI mortality, the differential mortality rates by HOUSES were primarily accounted for by age and comorbid conditions. HOUSES may be useful for health disparities research concerning cardiovascular outcomes, especially in overcoming the paucity of conventional SES measures in commonly used datasets. MDPI 2014-11-12 2014-11 /pmc/articles/PMC4245632/ /pubmed/25396769 http://dx.doi.org/10.3390/ijerph111111597 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bang, Duk Won
Manemann, Sheila M.
Gerber, Yariv
Roger, Veronique L.
Lohse, Christine M.
Rand-Weaver, Jennifer
Krusemark, Elizabeth
Yawn, Barbara P.
Juhn, Young J.
A Novel Socioeconomic Measure Using Individual Housing Data in Cardiovascular Outcome Research
title A Novel Socioeconomic Measure Using Individual Housing Data in Cardiovascular Outcome Research
title_full A Novel Socioeconomic Measure Using Individual Housing Data in Cardiovascular Outcome Research
title_fullStr A Novel Socioeconomic Measure Using Individual Housing Data in Cardiovascular Outcome Research
title_full_unstemmed A Novel Socioeconomic Measure Using Individual Housing Data in Cardiovascular Outcome Research
title_short A Novel Socioeconomic Measure Using Individual Housing Data in Cardiovascular Outcome Research
title_sort novel socioeconomic measure using individual housing data in cardiovascular outcome research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245632/
https://www.ncbi.nlm.nih.gov/pubmed/25396769
http://dx.doi.org/10.3390/ijerph111111597
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