Neighborhood socioeconomic change and diabetes risk: findings from the Chicago childhood diabetes registry

Diabetes Care. 2010 May;33(5):1065-8. doi: 10.2337/dc09-1894. Epub 2010 Feb 11.

Abstract

Objective: To examine whether patterns in socioeconomic characteristics in Chicago over a 30-year period are associated with neighborhood distribution of youth diabetes risk.

Research design and methods: Incident cases of diabetes in youth aged 0-17 years were identified from the Chicago Childhood Diabetes Registry between 1994 and 2003. Those with a type 2 diabetes-like clinical course or related indicators were classified as non-type 1 diabetic; the remaining cases were considered to have type 1 diabetes.

Results: Compared with stable diversity neighborhoods, significant associations for type 1 diabetes were found for younger children residing in emerging low-income neighborhoods (relative risk 0.56 [95% CI 0.36-0.90]) and older children residing in emerging high-income neighborhoods (1.52 [1.17-1.98]). For non-type 1 diabetes, older youth residing in desertification neighborhoods were at increased risk (1.47 [1.09-1.99]).

Conclusions: Neighborhood socioeconomic characteristics in Chicago may be associated with the risk of diabetes in youth.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Age Distribution
  • Black People / statistics & numerical data
  • Black or African American
  • Chicago / epidemiology
  • Child
  • Child, Preschool
  • Diabetes Mellitus, Type 1 / epidemiology*
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Female
  • Hispanic or Latino / statistics & numerical data
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Poisson Distribution
  • Registries / statistics & numerical data*
  • Residence Characteristics / statistics & numerical data*
  • Risk
  • Sex Distribution
  • Socioeconomic Factors
  • Urban Population / statistics & numerical data*
  • White People / statistics & numerical data