Ethnicity, Socioeconomic Status, and Health Disparities in a Mixed Rural-Urban US Community - Olmsted County, Minnesota

Chung Il Wi, Jennifer St. Sauver, Debra J. Jacobson, Richard S. Pendegraft, Brian D. Lahr, Euijung Ryu, Timothy J. Beebe, Jeff A Sloan, Jennifer L. Rand-Weaver, Elizabeth A. Krusemark, Yu Bin Choi, Young J Juhn

Research output: Contribution to journalArticle

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Abstract

Objective To characterize health disparities in common chronic diseases among adults by socioeconomic status (SES) and ethnicity in a mixed rural-urban community of the United States. Patients and Methods We conducted a cross-sectional study to assess the association of the prevalence of the 5 most burdensome chronic diseases in adults with SES and ethnicity and their interaction. The Rochester Epidemiology Project medical records linkage system was used to identify the prevalence of coronary heart disease, asthma, diabetes, hypertension, and mood disorder using International Classification of Diseases, Ninth Revision codes recorded from January 1, 2005, through December 31, 2009, among all adult residents of Olmsted County, Minnesota, on April 1, 2009. For SES measurements, an individual HOUsing-based index of SocioEconomic Status (HOUSES) derived from real property data was used. Logistic regression models were used to examine the association of the prevalence of chronic diseases with ethnicity and HOUSES score and their interaction. Results We identified 88,010 eligible adults with HOUSES scores available, of whom 48,086 (54.6%) were female and 80,699 (91.7%) were non-Hispanic white; the median (interquartile range) age was 45 years (30-58 years). Overall and in the subgroup of non-Hispanic whites, SES measured by HOUSES was inversely associated with the prevalence of all 5 chronic diseases independent of age, sex, and ethnicity (P

Original languageEnglish (US)
Pages (from-to)612-622
Number of pages11
JournalMayo Clinic Proceedings
Volume91
Issue number5
DOIs
StatePublished - May 1 2016

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Social Class
Health
Chronic Disease
Medical Record Linkage
Logistic Models
International Classification of Diseases
Rural Population
Mood Disorders
Coronary Disease
Epidemiology
Asthma
Cross-Sectional Studies
Hypertension

ASJC Scopus subject areas

  • Medicine(all)

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Ethnicity, Socioeconomic Status, and Health Disparities in a Mixed Rural-Urban US Community - Olmsted County, Minnesota. / Wi, Chung Il; St. Sauver, Jennifer; Jacobson, Debra J.; Pendegraft, Richard S.; Lahr, Brian D.; Ryu, Euijung; Beebe, Timothy J.; Sloan, Jeff A; Rand-Weaver, Jennifer L.; Krusemark, Elizabeth A.; Choi, Yu Bin; Juhn, Young J.

In: Mayo Clinic Proceedings, Vol. 91, No. 5, 01.05.2016, p. 612-622.

Research output: Contribution to journalArticle

Wi, Chung Il ; St. Sauver, Jennifer ; Jacobson, Debra J. ; Pendegraft, Richard S. ; Lahr, Brian D. ; Ryu, Euijung ; Beebe, Timothy J. ; Sloan, Jeff A ; Rand-Weaver, Jennifer L. ; Krusemark, Elizabeth A. ; Choi, Yu Bin ; Juhn, Young J. / Ethnicity, Socioeconomic Status, and Health Disparities in a Mixed Rural-Urban US Community - Olmsted County, Minnesota. In: Mayo Clinic Proceedings. 2016 ; Vol. 91, No. 5. pp. 612-622.
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AU - Jacobson, Debra J.

AU - Pendegraft, Richard S.

AU - Lahr, Brian D.

AU - Ryu, Euijung

AU - Beebe, Timothy J.

AU - Sloan, Jeff A

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N2 - Objective To characterize health disparities in common chronic diseases among adults by socioeconomic status (SES) and ethnicity in a mixed rural-urban community of the United States. Patients and Methods We conducted a cross-sectional study to assess the association of the prevalence of the 5 most burdensome chronic diseases in adults with SES and ethnicity and their interaction. The Rochester Epidemiology Project medical records linkage system was used to identify the prevalence of coronary heart disease, asthma, diabetes, hypertension, and mood disorder using International Classification of Diseases, Ninth Revision codes recorded from January 1, 2005, through December 31, 2009, among all adult residents of Olmsted County, Minnesota, on April 1, 2009. For SES measurements, an individual HOUsing-based index of SocioEconomic Status (HOUSES) derived from real property data was used. Logistic regression models were used to examine the association of the prevalence of chronic diseases with ethnicity and HOUSES score and their interaction. Results We identified 88,010 eligible adults with HOUSES scores available, of whom 48,086 (54.6%) were female and 80,699 (91.7%) were non-Hispanic white; the median (interquartile range) age was 45 years (30-58 years). Overall and in the subgroup of non-Hispanic whites, SES measured by HOUSES was inversely associated with the prevalence of all 5 chronic diseases independent of age, sex, and ethnicity (P

AB - Objective To characterize health disparities in common chronic diseases among adults by socioeconomic status (SES) and ethnicity in a mixed rural-urban community of the United States. Patients and Methods We conducted a cross-sectional study to assess the association of the prevalence of the 5 most burdensome chronic diseases in adults with SES and ethnicity and their interaction. The Rochester Epidemiology Project medical records linkage system was used to identify the prevalence of coronary heart disease, asthma, diabetes, hypertension, and mood disorder using International Classification of Diseases, Ninth Revision codes recorded from January 1, 2005, through December 31, 2009, among all adult residents of Olmsted County, Minnesota, on April 1, 2009. For SES measurements, an individual HOUsing-based index of SocioEconomic Status (HOUSES) derived from real property data was used. Logistic regression models were used to examine the association of the prevalence of chronic diseases with ethnicity and HOUSES score and their interaction. Results We identified 88,010 eligible adults with HOUSES scores available, of whom 48,086 (54.6%) were female and 80,699 (91.7%) were non-Hispanic white; the median (interquartile range) age was 45 years (30-58 years). Overall and in the subgroup of non-Hispanic whites, SES measured by HOUSES was inversely associated with the prevalence of all 5 chronic diseases independent of age, sex, and ethnicity (P

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