|
Activity Number:
|
440
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Statistics in Epidemiology
|
| Abstract - #304750 |
|
Title:
|
Prevalence of Diabetes in Low-Income and First Nations People in Alberta, Canada
|
|
Author(s):
|
Greg M. Hugel*+ and Jeffrey A. Johnson and Stephanie U. Balko
|
|
Companies:
|
University of Alberta and University of Alberta and
|
|
Address:
|
2-040 Health Research Innovation Facility, Edmonton, AB, T6G 2E1, Canada
|
|
Keywords:
|
Diabetes ; Epidemiology ; Logistic Regression
|
|
Abstract:
|
We speculated that people making a low income and First Nations (FN) People would be at a higher risk of diabetes. Diagnostic codes from Alberta Health and Wellness administrative database in the adult population aged 20 and over in 2007 were used to run various logistic regression models adjusting for age, gender and rural residence. When additional variables, such as FN, Low Income or Any Health Subsidy (combination of the previous two), were run independently with the above mentioned variables in the logistic regression model, Low Income and Any Health Subsidy had odds ratios (OR) of 1.13 and 1.37 respectively. We found FN People had more than 2.5 the odds of diabetes compared to Non-FN after adjusting for age, gender and rural residence. The increased prevalence was greater among FN women (OR 2.97) than FN men (OR 2.15). These results have implications for public health policy.
|
