1. Burden of Diabetes in Connecticut: An Overview
Connecticut Diabetes Prevention & Control Program (DPCP) Data & Surveillance Work Group Meeting
Burden of Diabetes in Connecticut:
An Overview
Presenter: Betty C. Jung, RN MPH CHES
Diabetes Epidemiologist
October 11, :30 – 4 PM Middletown, CT

2. Connecticut Diabetes Prevalence, by Gender, Race/Ethnicity, Age
Diabetes is the 7th leading cause of death for all Connecticut residents ( , and )
Gender differences are not significantly different.
African Americans are significantly more likely to report they have diabetes than Whites and Hispanics. Hispanic and white prevalence rates are not significantly different.
Diabetes prevalence increases with age. There are significant differences by age group.
Source: CT BRFSS 2002 –2004

3. Connecticut Diabetes Prevalence, by Education and Household Income Levels
Diabetes prevalence rates were higher for those with lower levels of education. Differences by education attainment were statistically significant.
Diabetes prevalence rates were higher among those with lower levels of income. The difference between <15K (13.3%) and 50K (3.5%) is statistically significant.
Source: CT BRFSS 2002 –2004

4. Connecticut Diabetes Prevalence, by County
All county rates were not significantly difference from the state prevalence rate of 5.9%, except for Tolland County’s rate (3.8%), which is significantly lower than the overall state rate.
The diabetes prevalence rate for Tolland County is significantly lower than the overall state rate. Rates for the other counties were not significantly different from the state prevalence rate of 5.9%.
Source: CT BRFSS 2002 –2004

5. Diabetes with Lower Extremity Amputation
Connecticut Diabetes Hospitalizations Age-adjusted Rates, per 100,000 (2002)
Category
Diabetes
(ICD 250)
Diabetes with Lower Extremity Amputation
All discharges
1552.0
28.3
Male
1719.7
39.6
Female
1431.8
19.6
White Non-Hispanic
1317.2
22.4
Black
3264.3
80.7
Hispanic
2975.2
70.7
African Americans have highest age-adjusted rates for hospitalizations and lower extremity amputations.
Diabetes (Principal diagnosis of Diabetes is 250):
No significant difference between Blacks and Hispanics, H/E their (Black and Hispanic) hospitalization rates are significantly higher than for Whites.
Lower Extremity Amputations:
Procedure code for lower extremity amputation is Does not include traumatic amputations ( ). Denominator for the rate is the total population, not estimated persons with diabetes. Healthy People 2010 objective 5-10 does not exclude ICD-9-CM ( ) and uses an estimate of the number of people with diabetes as the denominator.
Source: Connecticut Resident Hospitalizations, 2002

6. Connecticut Age-Adjusted Mortality Rates (AAMR), per 100,000 (1999 – 2001)
Category
Diabetes Deaths
Diabetes-related Deaths
All residents
18.4
69.8
Black Males
46.8
158.9
Hispanic Males
19.5
97.9
White Males
19.2
78.0
Black Females
40.2
128.4
Hispanic Females
28.9
86.3
White Females
14.1
53.5
During the 1990s, there was a significant increase in age-adjusted mortality due to diabetes among CT residents.
For the period, there was a significant increase in premature mortality (under 75 years) due to diabetes.
Both Black males and females have the highest death and premature mortality rates of all CT population subgroups due to diabetes and diabetes-related deaths ( ).
Black and Hispanic residents have significantly higher death and premature mortality (under 75 years) rates due to diabetes and diabetes-related causes compared with white, non-Hispanic CT residents ( ).
Source: Connecticut Resident Mortality Summary Tables by Gender, Race & Hispanic Ethnicity,

7. Connecticut Age-Adjusted Mortality Trends (1989 – 1998)
Between 1989 to 1998, Connecticut diabetes mortality have risen for both males and females. Males show a higher mortality rate trend than females, but both genders’ mortality trends remain lower than the U.S. rate trends for both males and females.

8. Summary Points
Prevalence of diabetes varies by age, race, household income, and educational level
Diabetes mortality and hospitalizations vary significantly by race and ethnicity
Surveillance is an important tool to identify and monitor at-risk populations
A statewide network for data sharing and collaboration can enhance surveillance and suggest areas for appropriate intervention