"Don't know" and "Refused" responses were eliminated from the denominator.
Age-adjusted to U.S. 2000 standard population.
Beginning in 2011, BRFSS data include both landline and cell phone respondent data along with a new weighting methodology
called iterative proportional fitting, or raking. This methodology utilizes additional demographic information (such as education,
race, and marital status) in the weighting procedure. Both of these methodology changes were implemented to account for an
increased number of U.S. households without landline phones and an under-representation of certain demographic groups that
were not well-represented in the sample. This graph is based on the new methodology. More details about these changes can
be found at: http://health.utah.gov/opha/publications/brfss/Raking/Raking%20impact%202011.pdf.
Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health.
Percentage of Utah adults (18+) diagnosed with diabetes.
How We Calculated the Rates
Number of Utah adults who reported being told by a health care professional that they have diabetes (excludes women who were
told they had diabetes only during pregnancy or those who reported they had "borderline" or pre-diabetes).
Utah adults 18 and over.
Date Indicator Content Last Updated: 06/12/2013
Diabetes Prevention and Control Program, Bureau of Health Promotion, Division of Disease Control and Prevention, Utah Department of Health, Salt Lake City, UT 84114-2107,
Telephone: 801-538-6141, Fax: 801-538-9495, Website: http://health.utah.gov/diabetes, Contact: Brenda Ralls, Nathan Peterson,
Email: firstname.lastname@example.org, email@example.com
The information provided above is from the Utah Department of Health's Center for
Health Data IBIS-PH web site (http://ibis.health.utah.gov). The information published
on this website may be reproduced without permission. Please use the following citation:
Mon, 17 June 2013 22:46:31
from Utah Department of
Health, Center for Health Data, Indicator-Based Information System for Public Health Web