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

被引:28
作者
Bang, Duk Won [1 ,2 ]
Manemann, Sheila M. [3 ]
Gerber, Yariv [3 ,4 ]
Roger, Veronique L. [3 ,5 ]
Lohse, Christine M. [3 ]
Rand-Weaver, Jennifer [1 ]
Krusemark, Elizabeth [1 ]
Yawn, Barbara P. [6 ]
Juhn, Young J. [1 ,7 ]
机构
[1] Mayo Clin, Dept Pediat & Adolescent Med, Rochester, MN 55905 USA
[2] Soonchunhyang Univ Hosp, Div Cardiol, Dept Internal Med, Seoul 140743, South Korea
[3] Mayo Clin, Dept Hlth Sci Res, Rochester, MN 55905 USA
[4] Tel Aviv Univ, Sackler Fac Med, Sch Publ Hlth, Dept Epidemiol & Prevent Med, IL-699780 Tel Aviv, Israel
[5] Mayo Clin, Dept Internal Med, Div Cardiovasc Dis, Rochester, MN 55905 USA
[6] Olmsted Med Ctr, Dept Res, Rochester, MN 55904 USA
[7] Mayo Clin, Dept Internal Med, Div Allerg Dis, Rochester, MN 55905 USA
基金
美国国家卫生研究院;
关键词
socioeconomic status; myocardial infarction; all-cause mortality; health disparities; housing; ACUTE MYOCARDIAL-INFARCTION; CORONARY-HEART-DISEASE; CASE-FATALITY; MORTALITY; HEALTH; CHILDHOOD; ACCESS; RISK; OPPORTUNITIES; EDUCATION;
D O I
10.3390/ijerph111111597
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:11597 / 11615
页数:19
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