The geography of diabetes by census tract in a large sample of insured adults in King County, Washington, 2005-2006

Prev Chronic Dis. 2014 Jul 24:11:E125. doi: 10.5888/pcd11.140135.

Abstract

Introduction: Identifying areas of high diabetes prevalence can have an impact on public health prevention and intervention programs. Local health practitioners and public health agencies lack small-area data on obesity and diabetes.

Methods: Clinical data from the Group Health Cooperative health care system were used to estimate diabetes prevalence among 59,767 adults by census tract. Area-based measures of socioeconomic status and the Modified Retail Food Environment Index were obtained at the census-tract level in King County, Washington. Spatial analyses and regression models were used to assess the relationship between census tract-level diabetes and area-based socioeconomic status and food environment variables. The mediating effect of obesity on the geographic distribution of diabetes was also examined.

Results: In this population of insured adults, diabetes was concentrated in south and southeast King County, with smoothed diabetes prevalence ranging from 6.9% to 21.2%. In spatial regression models, home value and college education were more strongly associated with diabetes than was household income. For each 50% increase in median home value, diabetes prevalence was 1.2 percentage points lower. The Modified Retail Food Environment Index was not related to diabetes at the census-tract level. The observed associations between area-based socioeconomic status and diabetes were largely mediated by obesity (home value, 58%; education, 47%).

Conclusion: The observed geographic disparities in diabetes among insured adults by census tract point to the importance of area socioeconomic status. Small-area studies can help health professionals design community-based programs for diabetes prevention and control.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Aged
  • Bayes Theorem
  • Censuses
  • Cluster Analysis
  • Diabetes Mellitus, Type 1 / diagnosis
  • Diabetes Mellitus, Type 1 / epidemiology*
  • Diabetes Mellitus, Type 1 / prevention & control
  • Diabetes Mellitus, Type 2 / diagnosis
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Diabetes Mellitus, Type 2 / prevention & control
  • Electronic Health Records
  • Female
  • Food Supply / classification
  • Food Supply / economics
  • Health Maintenance Organizations
  • Healthcare Disparities / statistics & numerical data
  • Humans
  • Insurance Coverage / statistics & numerical data*
  • Male
  • Middle Aged
  • Obesity / epidemiology*
  • Population Density
  • Prevalence
  • Regression Analysis
  • Small-Area Analysis
  • Social Class*
  • Spatial Analysis
  • Washington / epidemiology