Prevalence of obesity among children in six Chicago communities: findings from a health survey.
OBJECTIVE
We analyzed data from a community health survey to assess levels of obesity and overweight among children in some Chicago communities compared with national U.S. estimates.


METHODS
Data came from the Sinai Improving Community Health Survey, which was conducted via face-to-face interviews with people living in six racially and ethnically diverse Chicago communities during 2002 and 2003. A stratified, three-stage probability study design was employed to obtain a representative sample from each community. Height and weight data reported by the primary caretakers of 501 randomly selected children aged 2-12 years were used to determine age- and gender-specific body mass index (BMI), which was then used to classify weight status (obese > or =95th percentile for age and gender).


RESULTS
Compared with 16.8% for the U.S., the prevalence of obesity was 11.8% in a non-Hispanic white community on Chicago's north side, 34.0% in a Mexican American community on the west side, and 56.4% in a non-Hispanic black community on the south side.


CONCLUSIONS
Surveillance of the childhood obesity epidemic at the local level is limited. Findings describe the extent of disparities in childhood overweight and obesity within one city and how local-level data can shape new initiatives for improved health, one community at a time.
Margellos-Anast
Helen
H
Sinai Urban Health Institute, Sinai Health System, Chicago, IL 60608, USA. marhe@sinai.org
Shah
Ami M
AM
Whitman
Steve
S
D001741:Black or African American / Q000706:statistics & numerical data; D015992:Body Mass Index; D002641:Chicago / Q000453:epidemiology; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D005260:Female; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D009765:Obesity / Q000208:ethnology*; D050177:Overweight / Q000208:ethnology; D015995:Prevalence; D012307:Risk Factors; D017062:Small-Area Analysis; D012959:Socioeconomic Factors; D044465:White People / Q000706:statistics & numerical data