Literature DB >> 17148499

Association of insulin resistance with distance to wealthy areas: the multi-ethnic study of atherosclerosis.

Amy H Auchincloss1, Ana V Diez Roux, Daniel G Brown, Ellen S O'Meara, Trivellore E Raghunathan.   

Abstract

Little is known about environmental determinants of type 2 diabetes. The authors hypothesized that insulin resistance is positively related to distance to a wealthy area and to local neighborhood poverty. Data were derived from The Multi-Ethnic Study of Atherosclerosis, a study of adults aged 45-84 years in six US locales, and the 2000 US Census. The homeostasis model assessment (HOMA) index was used to measure insulin resistance. Linear regression was used to estimate associations between area characteristics and insulin resistance after adjustment for age, sex, income, education, and race/ethnicity and for the potential mediators diet, physical activity, and body mass index (n = 4,821). Among persons not treated for diabetes, distance to a wealthy area was associated with HOMA independent of local poverty and person-level covariates: per 4.4-km change, the relative increase in HOMA was 13% (95% confidence interval: 7%, 19%), similar to the effect of a body mass index increase of 1.7 kg/m(2) on HOMA. This association was reduced after adjustment for physical activity, diet, and body mass index (relative increase = 9%, 95% confidence interval: 3%, 15%). Local neighborhood poverty was also positively, but more weakly associated with insulin resistance, with no association after adjustment for race/ethnicity. This study shows that proximity to resources in high-income areas is related to insulin resistance.

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Year:  2006        PMID: 17148499     DOI: 10.1093/aje/kwk028

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  36 in total

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4.  Availability of recreational resources in minority and low socioeconomic status areas.

Authors:  Latetia V Moore; Ana V Diez Roux; Kelly R Evenson; Aileen P McGinn; Shannon J Brines
Journal:  Am J Prev Med       Date:  2008-01       Impact factor: 5.043

5.  Comparing Perception-Based and Geographic Information System (GIS)-based characterizations of the local food environment.

Authors:  Latetia V Moore; Ana V Diez Roux; Shannon Brines
Journal:  J Urban Health       Date:  2008-02-05       Impact factor: 3.671

6.  Relative residential property value as a socio-economic status indicator for health research.

Authors:  Neil T Coffee; Tony Lockwood; Graeme Hugo; Catherine Paquet; Natasha J Howard; Mark Daniel
Journal:  Int J Health Geogr       Date:  2013-04-15       Impact factor: 3.918

7.  Place matters: neighborhood deprivation and cardiometabolic risk factors in the Diabetes Study of Northern California (DISTANCE).

Authors:  Barbara A Laraia; Andrew J Karter; E Margaret Warton; Dean Schillinger; Howard H Moffet; Nancy Adler
Journal:  Soc Sci Med       Date:  2012-01-28       Impact factor: 4.634

8.  Health disparities in endocrine disorders: biological, clinical, and nonclinical factors--an Endocrine Society scientific statement.

Authors:  Sherita Hill Golden; Arleen Brown; Jane A Cauley; Marshall H Chin; Tiffany L Gary-Webb; Catherine Kim; Julie Ann Sosa; Anne E Sumner; Blair Anton
Journal:  J Clin Endocrinol Metab       Date:  2012-06-22       Impact factor: 5.958

9.  Exploring geographic variation in US mortality rates using a spatial Durbin approach.

Authors:  Tse-Chuan Yang; Aggie Noah; Carla Shoff
Journal:  Popul Space Place       Date:  2015-01

10.  Association of environmental tobacco smoke exposure in childhood with early emphysema in adulthood among nonsmokers: the MESA-lung study.

Authors:  Gina S Lovasi; Ana V Diez Roux; Eric A Hoffman; Steven M Kawut; David R Jacobs; R Graham Barr
Journal:  Am J Epidemiol       Date:  2009-11-25       Impact factor: 4.897

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