Literature DB >> 27068669

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

Chung-Il Wi1, Jennifer L St Sauver2, Debra J Jacobson3, Richard S Pendegraft3, Brian D Lahr3, Euijung Ryu4, Timothy J Beebe5, Jeff A Sloan3, Jennifer L Rand-Weaver1, Elizabeth A Krusemark1, YuBin Choi1, Young J Juhn6.   

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<.001). While an association of ethnicity with disease prevalence was observed for all the chronic diseases, SES modified the effect of ethnicity for clinically less overt conditions (interaction P<.05 for each condition [diabetes, hypertension, and mood disorder]) but not for coronary heart disease, a clinically more overt condition.
CONCLUSION: In a mixed rural-urban setting with a predominantly non-Hispanic white population, health disparities in chronic diseases still exist across SES. The extent to which SES modifies the effect of ethnicity on the risk of chronic diseases may depend on the nature of the disease.
Copyright © 2016 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27068669      PMCID: PMC4871690          DOI: 10.1016/j.mayocp.2016.02.011

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  28 in total

1.  Generalizability of epidemiological findings and public health decisions: an illustration from the Rochester Epidemiology Project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Cynthia L Leibson; Barbara P Yawn; L Joseph Melton; Walter A Rocca
Journal:  Mayo Clin Proc       Date:  2012-02       Impact factor: 7.616

2.  Disease and disadvantage in the United States and in England.

Authors:  James Banks; Michael Marmot; Zoe Oldfield; James P Smith
Journal:  JAMA       Date:  2006-05-03       Impact factor: 56.272

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Authors:  Nathan D Shippee; Nilay D Shah; Carl R May; Frances S Mair; Victor M Montori
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4.  Socioeconomic and ethnic disparities in cardiovascular risk in the United States, 2001-2006.

Authors:  Arun S Karlamangla; Sharon Stein Merkin; Eileen M Crimmins; Teresa E Seeman
Journal:  Ann Epidemiol       Date:  2010-08       Impact factor: 3.797

5.  Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Walter A Rocca
Journal:  Am J Epidemiol       Date:  2011-03-23       Impact factor: 4.897

6.  Prevalence of coronary heart disease--United States, 2006-2010.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2011-10-14       Impact factor: 17.586

7.  Racial disparities in childhood asthma in the United States: evidence from the National Health Interview Survey, 1997 to 2003.

Authors:  Marla McDaniel; Christina Paxson; Jane Waldfogel
Journal:  Pediatrics       Date:  2006-05       Impact factor: 7.124

8.  Racial and ethnic disparities among enrollees in Medicare Advantage plans.

Authors:  John Z Ayanian; Bruce E Landon; Joseph P Newhouse; Alan M Zaslavsky
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9.  Racial disparities in diabetes care processes, outcomes, and treatment intensity.

Authors:  Michele Heisler; Dylan M Smith; Rodney A Hayward; Sarah L Krein; Eve A Kerr
Journal:  Med Care       Date:  2003-11       Impact factor: 2.983

10.  Housing data-based socioeconomic index and risk of invasive pneumococcal disease: an exploratory study.

Authors:  M D Johnson; S H Urm; J A Jung; H D Yun; G E Munitz; C Tsigrelis; L M Baddour; Y J Juhn
Journal:  Epidemiol Infect       Date:  2012-07-03       Impact factor: 4.434

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  18 in total

1.  Epidemiology of Children With Multiple Complex Chronic Conditions in a Mixed Urban-Rural US Community.

Authors:  Kara A Bjur; Chung-Il Wi; Euijung Ryu; Sheri S Crow; Katherine S King; Young J Juhn
Journal:  Hosp Pediatr       Date:  2019-04

2.  Spatiotemporal patterns of childhood asthma hospitalization and utilization in Memphis Metropolitan Area from 2005 to 2015.

Authors:  Tonny J Oyana; Pradeep Podila; Jagila Minso Wesley; Slawo Lomnicki; Stephania Cormier
Journal:  J Asthma       Date:  2017-01-05       Impact factor: 2.515

3.  Impact of paternal education on epigenetic ageing in adolescence and mid-adulthood: a multi-cohort study in the USA and Mexico.

Authors:  Brian T Joyce; Tao Gao; Kalsea Koss; Yinan Zheng; Andres Cardenas; Jonathan Heiss; Allan Just; Kai Zhang; Linda van Horn; Norrina Bai Allen; Philip Greenland; Sheldon Cohen; Penny Gordon-Larsen; Colter Mitchell; Sara McLanahan; Lisa Schneper; Daniel Notterman; Sheryl L Rifas-Shiman; Emily Oken; Marie-France Hivert; Robert Wright; Andrea Baccarelli; Donald Lloyd-Jones; Lifang Hou
Journal:  Int J Epidemiol       Date:  2022-06-13       Impact factor: 9.685

4.  Association of Early and Late Hospital Readmissions with a Novel Housing-Based Socioeconomic Measure.

Authors:  Kaitlyn I Zurek; Christopher L Boswell; Nathanial E Miller; Jennifer L Pecina; Matthew D Decker; Chung I Wi; Gregory M Garrison
Journal:  Health Serv Res Manag Epidemiol       Date:  2022-06-22

5.  Mortality Risk of Inflammatory Bowel Disease: A Case-Control Study of New York State Death Records.

Authors:  Angelica Nocerino; Alexandra Feathers; Elena Ivanina; Laura Durbin; Arun Swaminath
Journal:  Dig Dis Sci       Date:  2019-01-02       Impact factor: 3.199

6.  An Individual Housing-Based Socioeconomic Status Measure Predicts Advance Care Planning and Nursing Home Utilization.

Authors:  Amelia Barwise; Young J Juhn; Chung-Il Wi; Paul Novotny; Carolina Jaramillo; Ognjen Gajic; Michael E Wilson
Journal:  Am J Hosp Palliat Care       Date:  2018-11-20       Impact factor: 2.500

7.  The relationship of 25-hydroxyvitamin D concentrations and individual-level socioeconomic status.

Authors:  Tom D Thacher; Daniel V Dudenkov; Kristin C Mara; Julie A Maxson; Chung-Il Wi; Young J Juhn
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8.  An Innovative Individual-Level Socioeconomic Measure Predicts Critical Care Outcomes in Older Adults: A Population-Based Study.

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9.  The Relationship of Sleep Duration with Ethnicity and Chronic Disease in a Canadian General Population Cohort.

Authors:  Lyle J Palmer; Sutapa Mukherjee; Mandeep Singh; Kelly A Hall; Amy Reynolds
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10.  Long-term incidence of glioma in Olmsted County, Minnesota, and disparities in postglioma survival rate: a population-based study.

Authors:  Conor S Ryan; Young J Juhn; Harsheen Kaur; Chung-Il Wi; Euijung Ryu; Katherine S King; Daniel H Lachance
Journal:  Neurooncol Pract       Date:  2019-12-07
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