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Complete Health Indicator Report of Diabetes Prevalence

Definition

Percentage of Utah adults (18+) diagnosed with diabetes.

Numerator

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 prediabetes).

Denominator

Utah adults 18 and over.

Data Interpretation Issues

The Behavioral Risk Factor Surveillance System (BRFSS) is the primary source for estimating diabetes prevalence for Utah. The BRFSS is a telephone survey (with interviews using both landline and cell phones) that includes only adults 18 and over.

Why Is This Important?

Almost 145,000 Utahns have been diagnosed with diabetes. Diabetes is a disease that can have devastating consequences. It is the leading cause of non-traumatic lower-extremity amputation and renal failure. It is also the leading cause of blindness among adults younger than 75. It is one of the leading causes of heart disease. Diabetes places an enormous burden on health care resources, approximately $245 billion is spent annually [in direct medical costs ($176 billion) and in indirect costs ($69 billion) such as disability, work loss, and premature death]. (See [https://www.ncbi.nlm.nih.gov/pubmed/23468086 Economic costs of diabetes in the U.S. in 2012]). In Utah, more than a billion dollars each year are spent on direct and indirect costs of diabetes. A model using simulated data projected that diabetes incidence will increase from the current rate of 8 cases per 1,000 population to about 15 in 2050 nationwide. Prevalence of diabetes (including undiagnosed cases) can be as high as one of three Americans by 2050 (see [http://www.pophealthmetrics.com/content/8/1/29]). Currently, about 80 million Americans aged 20 and older have pre-diabetes, a condition that puts them at high risk for developing diabetes. For many individuals, taking small steps, such as losing 5-7 percent of their weight or increasing physical activity, can help them delay or prevent developing diabetes.

Healthy People Objective D-1:

Reduce the annual number of new cases of diagnosed diabetes in the population
U.S. Target: 7.2 new cases per 1,000 population aged 18 to 84 years
State Target: 7.2 new cases per 1,000 population aged 18 to 84 years

Other Objectives

The Council of State and Territorial Epidemiologists (CSTE) notes that the burden of diabetes in the United States has increased with the increasing prevalence of obesity. Multiple long-term complications of diabetes can be prevented through improved patient education and self-management, and provision of adequate and timely screening services, and medical care. Healthy People 2020 (HP 2020) emphasizes reducing the incidence of diabetes. HP 2020 Objective D-1 is "Reduce the annual number of new cases of diagnosed diabetes in the population."

How Are We Doing?

The prevalence of diabetes has risen and will likely continue to rise steadily, both nationally and in Utah. Several factors contribute to this increase. Increasing rates of obesity and sedentary lifestyles add to the number of people at risk for developing diabetes, while improvements in medical care mean people with diabetes are living longer (see [http://www.pophealthmetrics.com/content/8/1/29]). A large number of individuals have pre-diabetes. Pre-diabetes is a condition in which blood sugar rates are elevated but not yet high enough to reach the clinical threshold of a diabetes diagnosis. An estimated 86 million Americans age 20 and older have pre-diabetes. Unless those individuals take steps to reduce their risk of diabetes, such as increasing physical activity, eating a more nutritious diet, or losing weight, the majority will have diabetes within 10 years.

How Do We Compare With the U.S.?

According to the 2016 Behavioral Risk Factor Surveillance System (BRFSS), Utah adults have an age-adjusted rate of 7.8% of diagnosed with diabetes, compared to the U.S. age-adjusted rate of 9.9%. (Note: An age-adjusted rate is an artificial rate used to make comparisons between groups with different age distributions. Diabetes is higher in the older age groups. Since Utah has a larger percentage of the population that is young, the rate of diabetes would naturally be lower. Age-adjusting removes the difference in rates that would be due to differences in the age structures).

What Is Being Done?

The Healthy Living through Environment, Policy, and Improved Clinical Care (EPICC) Program encourages people with diabetes to enroll in a diabetes self-management education class. These classes are usually taught by a dietitian, pharmacist, or certified diabetes educator, and have been shown to help individuals develop the skills they need to manage their diabetes. The Utah Arthritis Program supports Chronic Disease Self-Management Programs and Diabetes Self-Management Programs throughout the state. (This program is also called the Living Well with Chronic Conditions Program.) This six-week program is available throughout the state at no cost and taught by community members. Information is available from Rebecca Castleton, 801-538-9340, rcastlet@utah.gov.

Evidence-based Practices

Diabetes Self-Management Classes have been shown to improve blood sugar control among participants. In Utah, programs are available that are recognized by the American Diabetes Association or certified by the American Association of Diabetes Educators.

Available Services

The American Diabetes Association (ADA) is an excellent resource for all types of information on diabetes. Call 1-800-DIABETES or visit the website at [http://www.diabetes.org]. The ADA site also has a list of diabetes screening locations locally. The National Diabetes Education Program ([http://www.yourdiabetesinfo.org]) has resources for diabetes management for professionals, businesses, and patients. Most materials are available upon request at no charge.

Health Program Information

The Utah Department of Health Resource Line can provide information about enrolling in diabetes self-management classes. Call 1-888-222-2542 for more information.


Related Indicators

Relevant Population Characteristics

Anyone can develop diabetes, but the risk is greater for those who are older, overweight or obese, physically inactive, or a member of a minority racial or ethnic group. As the Utah population ages, and as the proportion of high-risk minority ethnic and racial groups in the population increases, a greater percentage of Utahns will be at risk for developing diabetes. There is considerable variation in prevalence by race and ethnicity. In the U.S., 7.4 percent of non-Hispanic White persons aged 18 or older have diabetes (age-adjusted prevalence). Members of the American Indian/Alaskan Native population are more than twice as likely to have diabetes as non-Hispanic White persons. About 15 percent (15.1%) of people in this group have been diagnosed. High prevalence is also seen in the non-Hispanic Black population, where the percentage diagnosed is 12.7 percent among adults aged 18 and over 12.1 percent of Hispanics aged 18 and older have diagnosed diabetes. Among non-Hispanic Asians aged 18 and older the age-adjusted rate of diagnosed diabetes is 8.0. (See ''[https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf National Diabetes Statistics Report, 2017]'').

Related Relevant Population Characteristics Indicators:


Health Care System Factors

Screening for diabetes is generally recommended for people aged 45 and over, although those with a high risk of developing diabetes (e.g., overweight, member of minority racial or ethnic group) may wish to consider screening by age 30. Testing for diabetes is generally covered by insurance. For those without insurance, the Utah Chapter of the American Diabetes Association may be contacted about the availability of low-cost or free screening (801-363-3024). In 2012, the estimated total cost for diabetes in the U.S. was $245 billion. Even undiagnosed diabetes can burden the health care system. Undiagnosed diabetes costs the nation about $18 billion a year. Pre-diabetes is estimated to cost $25 billion (See [https://www.ncbi.nlm.nih.gov/pubmed/23468086 Economic costs of diabetes in the U.S. in 2012]).

Related Health Care System Factors Indicators:


Risk Factors

Being overweight or obese is a major risk factor for developing diabetes. The risk of developing diabetes can be substantially reduced through weight loss and regular physical activity. The Diabetes Primary Prevention Study (DPP) showed that weight loss and participation in regular physical activity can significantly decrease the risk. The DPP clinical trial included over 3,000 people who had impaired fasting glucose and were at an increased risk for developing diabetes. Participants who engaged in moderately intense physical activity for 30 minutes per day and lost 5 to 7 percent of their body weight decreased their risk of diabetes dramatically. This behavioral activity was effective for all participants in the study, regardless of age or ethnic group (see [http://www.niddk.nih.gov/about-niddk/research-areas/diabetes/diabetes-prevention-program-dpp/Pages/default.aspx]). Some risk factors cannot be modified, such as older age or membership in a minority racial or ethnic group. Nevertheless, risk can be substantially reduced through adhering to a nutritious diet and participating in regular physical activity.

Related Risk Factors Indicators:


Health Status Outcomes

Diabetes can have serious consequences. It is the leading cause of non-traumatic lower extremity amputations, and is also the leading cause of blindness among working-age adults. It is a major risk factor for cardiovascular disease and end-stage renal disease. Diabetes can affect both physical and mental health. Complications from diabetes can have a significant impact on quality of life. Blindness and amputations affect one's independence and ability to conduct everyday activities. People with diabetes have an increased risk of depression. In controlled studies, the odds of having depression were twice as great in people with diabetes as in people without diabetes (Wayne J. Katon, MD, The Comorbidity of Diabetes Mellitus and Depression, ''Am J Med.'' Nov. 2008;121 (11 Suppl2): 58-15).

Related Health Status Outcomes Indicators:




Graphical Data Views

Adults With Diabetes, Age-adjusted Rates by Year, Utah and U.S., 2000-2016

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The 2016 age-adjusted rate of diabetes for Utah was lower (7.8%) than the rate for the U.S. (9.9%).
BRFSS Utah vs. U.S.YearAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 38
UT Old Methodology20005.8%4.6%7.0%
UT Old Methodology20014.6%3.7%5.5%
UT Old Methodology20025.2%4.3%6.1%
UT Old Methodology20036.5%5.5%7.5%
UT Old Methodology20045.9%5.2%6.7%
UT Old Methodology20056.5%5.7%7.3%
UT Old Methodology20066.9%6.1%7.8%
UT Old Methodology20076.7%6.0%7.5%
UT Old Methodology20087.0%6.3%7.7%
UT Old Methodology20097.6%7.0%8.2%
UT Old Methodology20107.5%7.0%8.1%
US Old Methodology20006.3%6.1%6.5%
US Old Methodology20016.5%6.3%6.7%
US Old Methodology20027.0%6.8%7.2%
US Old Methodology20037.3%7.1%7.5%
US Old Methodology20047.1%6.9%7.2%
US Old Methodology20057.5%7.4%7.7%
US Old Methodology20067.8%7.6%7.9%
US Old Methodology20078.2%8.0%8.3%
US Old Methodology20088.3%8.2%8.5%
US Old Methodology20098.4%8.4%8.7%
US Old Methodology20108.5%8.3%8.6%
UT New Methodology20097.6%7.0%8.2%
UT New Methodology20107.6%7.0%8.1%
UT New Methodology20117.5%7.0%8.0%
UT New Methodology20128.0%7.5%8.6%
UT New Methodology20137.8%7.3%8.4%
UT New Methodology20147.8%7.3%8.3%
UT New Methodology20157.7%7.1%8.2%
UT New Methodology20167.8%7.2%8.4%
US New Methodology20119.2%9.1%9.4%
US New Methodology20129.5%9.4%9.7%
US New Methodology20139.5%9.4%9.7%
US New Methodology20149.7%9.6%9.9%
US New Methodology20159.6%9.5%9.8%
US New Methodology20169.9%9.7%10.0%

Data Notes

"Don't know" and "Refused" responses were eliminated from the denominator. In 2016, Utah BRFSS modified its methodology for age adjustment for increased precision. With this change Utah is consistent with both the U.S. and other states using IBIS. Data has been updated from 2011 onward in all chart views to reflect this change.   Rates are age-adjusted using 8 age groups. Note: At the time of this update, the BRFSS U.S. dataset did not include an age variable but did include five age categories up to age 80+ (vs. the typical weighting scheme that includes 85+). Comparisons with both weighting schemes were compared using Utah data, and the difference was about 1/100 of a percentage point. Beginning in 2011, U.S. BRFSS data include both landline and cell phone respondent data along with a new weighting methodology called iterative proportional fitting, or raking. Utah changed to the new methodology in 2009. Utah rates using both old and new methodology are shown for 2009 and 2010. This new methodology utilizes additional demographic information (such as education, race, and marital status) in the weighting procedure. More details about these changes can be found at: [https://ibis.health.utah.gov/pdf/opha/resource/brfss/RakingImpact2011.pdf].

Data Sources

  • Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health
  • U.S. Data: Behavioral Risk Factor Surveillance System (BRFSS), Division of Behavioral Surveillance, CDC Office of Surveillance, Epidemiology, and Laboratory Services


Adults With Diabetes, Utah and U.S. Crude Rates by Year, 2000-2016

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Rates for diabetes prevalence among Utah adults have been fairly stable for years 2009-2016.
BRFSS Utah vs. U.S.YearCrude Percentage of AdultsLower LimitUpper Limit
Record Count: 48
UT Old Methodology20005.4%4.3%6.5%
UT Old Methodology20014.3%3.4%5.1%
UT Old Methodology20024.4%3.5%5.2%
UT Old Methodology20035.5%4.6%6.3%
UT Old Methodology20045.1%4.4%5.8%
UT Old Methodology20055.5%4.9%6.3%
UT Old Methodology20065.7%5.1%6.5%
UT Old Methodology20075.1%6.6%6.7%
UT Old Methodology20085.4%6.8%5.8%
UT Old Methodology20096.1%5.6%6.7%
UT Old Methodology20106.5%6.0%7.1%
US Old Methodology20007.9%7.8%7.9%
US Old Methodology20016.4%6.2%6.6%
US Old Methodology20026.7%6.5%6.9%
US Old Methodology20037.0%6.8%7.2%
US Old Methodology20047.5%7.3%7.6%
US Old Methodology20057.2%7.0%7.4%
US Old Methodology20068.0%7.6%7.9%
US Old Methodology20078.5%7.8%8.2%
US Old Methodology20088.7%8.4%8.7%
US Old Methodology20099.0%8.6%8.9%
US Old Methodology20109.2%8.9%9.2%
UT New Methodology20096.8%6.2%7.4%
UT New Methodology20106.8%6.3%7.4%
UT New Methodology20116.7%6.2%7.2%
UT New Methodology20127.2%6.7%7.7%
UT New Methodology20137.1%6.6%7.7%
UT New Methodology20147.1%6.7%7.6%
UT New Methodology20157.0%6.5%7.6%
UT New Methodology20167.2%6.7%7.8%
US New Methodology20119.8%9.6%9.9%
US New Methodology201210.1%9.9%10.3%
US New Methodology201310.2%10.1%10.4%
US New Methodology201410.5%10.3%10.7%
US New Methodology201510.4%10.3%10.6%
US New Methodology201610.8%10.6%10.9%

Data Notes

"Don't know" and "Refused" responses were eliminated from the denominator. In 2016, Utah BRFSS modified its methodology for age adjustment for increased precision. With this change Utah is consistent with both the U.S. and other states using IBIS. Data has been updated from 2011 onward in all chart views to reflect this change.   [[br]] [[br]] This graph demonstrates the difference in prevalence using old and new methodologies. Beginning in 2011, U.S. BRFSS data include both landline and cell phone respondent data along with a new weighting methodology called iterative proportional fitting, or raking. Utah changed to the new methodology in 2009. Utah rates using both old and new methodology are shown for 2009 and 2010. The new 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. More details about these changes can be found at: [https://ibis.health.utah.gov/pdf/opha/resource/brfss/RakingImpact2011.pdf].

Data Sources

  • Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health
  • U.S. Data: Behavioral Risk Factor Surveillance System (BRFSS), Division of Behavioral Surveillance, CDC Office of Surveillance, Epidemiology, and Laboratory Services


Adults With Diabetes by Local Health District, Utah, 2014-2016

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confidence limits

Data for the local health districts (LHDs) use three years of combined data so that reliable estimates for LHDs can be obtained. The overall rate for the state is 7.8% with three years of data combined (2014-2016). The rates for San Juan (13.6%) and Tricounty (10%) are significantly higher than the state total. The rate for Summit County (3.3%) is significantly lower than the state total.
Local Health DistrictAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 14
Bear River7.5%6.3%9.0%
Central7.4%6.2%8.9%
Davis County7.9%6.9%8.9%
Salt Lake County8.0%7.4%8.6%
San Juan13.6%8.7%20.5%
Southeast8.8%7.3%10.7%
Southwest7.0%6.0%8.1%
Summit3.3%2.2%4.8%
Tooele9.1%7.5%11.0%
TriCounty10.0%8.2%12.1%
Utah County7.0%6.3%7.9%
Wasatch5.7%3.9%8.1%
Weber-Morgan8.7%7.7%9.8%
State of Utah7.8%7.4%8.1%

Data Notes

"Don't know" and "Refused" responses were eliminated from the denominator. In 2016, Utah BRFSS modified its methodology for age adjustment for increased precision. With this change Utah is consistent with both the U.S. and other states using IBIS. Data has been updated from 2011 onward in all chart views to reflect this change.   Age-adjusted to U.S. 2000 standard population. Prior to 2015 San Juan County was part of the Southeast Local Health District. In 2015 the San Juan County Local Health District was formed. Data reported are for all years using the current boundaries.

Data Source

Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health


Adults With Diabetes by Utah Small Area, 2013-2016

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confidence limits

The highest rates of diabetes for the small areas were SLC Glendale (13.8%) followed by West Valley (West) (12.5%), Kearns V2 (12.5%) and San Juan County (12.5%). These rates are based on BRFSS data collected through both landline and cell phones and use an improved weighting methodology. For more information about the new methodology, see [http://health.utah.gov/opha/publications/brfss/Raking/Raking%20impact%202011.pdf].
Utah Small AreasAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 66
Brigham City9.3%6.8%12.6%
Box Elder Co (Other)9.0%6.7%12.1%
Logan6.0%4.7%7.6%
Cache Co (Oth)/Rich Co (All)8.4%6.2%11.3%
Ben Lomond10.1%8.2%12.3%
Morgan Co (All)/Weber Co (E)4.1%3.0%5.6%
Ogden (Downtown)10.5%7.8%13.9%
South Ogden7.2%5.3%9.7%
Roy/Hooper11.0%8.8%13.6%
Riverdale7.5%5.5%10.0%
Clearfield/Hill AFB9.0%7.0%11.5%
Layton9.9%8.1%12.1%
Syracuse/Kaysville6.4%5.0%8.2%
Farmington/Centerville4.7%3.3%6.6%
Woods Cross/North Salt Lake8.0%5.7%11.1%
Bountiful6.7%4.9%9.1%
SLC (Rose Park)10.9%7.5%15.7%
SLC (Avenues)5.2%3.2%8.4%
SLC (Foothill/U of U)4.0%2.4%6.6%
Magna10.7%7.8%14.6%
SLC (Glendale)13.8%10.2%18.3%
West Valley (West)12.5%10.2%15.1%
West Valley (East) V210.2%7.8%13.4%
SLC (Downtown)5.9%4.0%8.6%
South Salt Lake10.9%7.7%15.2%
Millcreek5.5%4.1%7.4%
Holladay6.4%4.8%8.4%
Cottonwood5.7%4.3%7.6%
Kearns V212.5%9.3%16.6%
Taylorsville (E)/Murray (W)8.4%6.1%11.4%
Taylorsville (West)10.2%8.1%12.9%
Murray7.5%5.2%10.7%
Midvale7.7%5.3%11.1%
West Jordan (NE) V27.7%5.3%11.1%
West Jordan (SE)10.6%8.0%13.8%
West Jordan (W)/Copperton8.4%5.7%12.0%
South Jordan7.4%5.8%9.4%
Sandy (Center)7.9%6.1%10.2%
Sandy (NE)5.2%3.6%7.4%
Sandy (SE)4.8%3.2%7.2%
Riverton/Draper5.5%4.4%6.9%
Tooele Co9.6%8.2%11.3%
Lehi/Cedar Valley6.4%4.7%8.8%
American Fork/Alpine6.0%4.5%8.0%
Pleasant Grove/Lindon7.0%5.2%9.3%
Orem (North)7.2%4.9%10.4%
Orem (West)8.5%6.0%11.9%
Orem (East)5.6%3.4%8.9%
Provo (North)/BYU9.1%6.7%12.3%
Provo (South)8.0%5.6%11.2%
Springville/Spanish Fork8.3%6.6%10.4%
Utah Co (South)7.1%5.0%10.0%
Summit Co4.0%2.8%5.6%
Wasatch Co5.8%4.4%7.8%
TriCounty LHD9.4%8.0%11.1%
Juab/Millard/Sanpete Co7.7%6.4%9.3%
Sevier/Piute/Wayne Co6.3%4.8%8.3%
Carbon/Emery Co9.0%7.6%10.8%
Grand County5.7%3.6%8.9%
San Juan County12.5%8.4%18.3%
St George6.9%5.5%8.6%
Washington Co (Other)5.8%4.6%7.5%
Cedar City8.0%5.9%10.7%
Southwest LHD (Other)7.1%5.3%9.6%
State7.6%7.5%8.0%

Data Notes

"Don't know" and "Refused" responses were eliminated from the denominator. In 2016, Utah BRFSS modified its methodology for age adjustment for increased precision. With this change Utah is consistent with both the U.S. and other states using IBIS. Data has been updated from 2011 onward in all chart views to reflect this change.   Age-adjusted to U.S. 2000 standard population.[[br]] [[br]] A description of the Utah Small Areas may be found on IBIS at the following URL: [http://ibis.health.utah.gov/resource/Help.html].

Data Source

Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health


Adults With Diabetes, Crude Rates by Age and Sex, Utah, 2015-2016

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confidence limits

For both males and females, the highest rates of diabetes are observed for adults aged 65 and over. The rate for males aged 65 was 23.9% and for females it was 18.0%. Overall, one of five adults (20.7%) aged 65 and over has been diagnosed with diabetes.
Males vs. FemalesAge GroupCrude Percentage of AdultsLower LimitUpper Limit
Record Count: 12
Male18-341.4%0.9%2.0%
Male35-494.2%3.4%5.2%
Male50-6412.6%11.0%14.3%
Male65+23.9%21.8%26.1%
Female18-340.8%0.5%1.2%
Female35-493.5%2.7%4.5%
Female50-6411.6%10.2%13.2%
Female65+18.0%16.2%19.9%
Total18-341.1%0.8%1.5%
Total35-493.8%3.3%4.5%
Total50-6412.1%11.0%13.2%
Total65+20.7%19.3%22.2%

Data Notes

"Don't know" and "Refused" responses were eliminated from the denominator. In 2016, Utah BRFSS modified its methodology for age adjustment for increased precision. With this change Utah is consistent with both the U.S. and other states using IBIS. Data has been updated from 2011 onward in all chart views to reflect this change.

Data Source

Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health


Adults With Diabetes by Education, Utah, 2016

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The overall percentage for adults over the age of 25 with diabetes for all education levels was 8.9%. Adults with a college graduate degree had a significantly lower rate (6.6%) than the state total.
Education LevelAge-adjusted Percentage of Adults 25+Lower LimitUpper Limit
Record Count: 5
Less Than High School11.4%8.4%15.3%
H.S. Grad or G.E.D.10.4%9.0%12.0%
Some Post High School9.1%8.1%10.3%
College Graduate6.6%5.8%7.5%
Total8.9%8.2%9.6%

Data Notes

"Don't know" and "Refused" responses were eliminated from the denominator. In 2016, Utah BRFSS modified its methodology for age adjustment for increased precision. With this change Utah is consistent with both the U.S. and other states using IBIS. Data has been updated from 2011 onward in all chart views to reflect this change.   Age-adjusted to U.S. 2000 standard population.

Data Source

Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health


Adults With Diabetes by Income, Utah, 2016

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The diabetes rate for adults with incomes of less than $25,000 is significantly higher (10.2%) than the state total (7.8%).
Income CategoryAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 5
<$25,00010.2%8.5%12.1%
$25,000-$49,9998.3%7.0%9.7%
$50,000-$74,9996.9%5.7%8.3%
$75,000+6.2%5.3%7.2%
Total7.8%7.2%8.4%

Data Notes

"Don't know" and "Refused" responses were eliminated from the denominator. In 2016, Utah BRFSS modified its methodology for age adjustment for increased precision. With this change Utah is consistent with both the U.S. and other states using IBIS. Data has been updated from 2011 onward in all chart views to reflect this change.   Age-adjusted to U.S. 2000 standard population.

Data Source

Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health


Adults With Diabetes by Ethnicity, Utah, 2015-2016

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The diabetes rate for Hispanic ethnicity is significantly higher (10.9%) than the state total (7.7%) for two years of combined data (2015-2016).
Hispanic EthnicityAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 3
Hispanic10.9%8.9%13.3%
Non-Hispanic7.4%7.0%7.8%
All Utahns7.7%7.3%8.1%

Data Notes

"Don't know" and "Refused" responses were eliminated from the denominator. In 2016, Utah BRFSS modified its methodology for age adjustment for increased precision. With this change Utah is consistent with both the U.S. and other states using IBIS. Data has been updated from 2011 onward in all chart views to reflect this change.   Rates are age-adjusted and standardized to the U.S. 2000 population.

Data Source

Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health


Adults With Diabetes by Race, Utah, 2015-2016

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confidence limits

Prevalence of diabetes is especially high for members of the Pacific Islander and American Indian populations. It is important to note that these rates are age-adjusted, meaning that rates are artificially compared as though the age distribution for all populations were the same. The estimate shown for this view combines two years of data (2015 and 2016).
Race/EthnicityAge-adjusted Percentage of AdultsLower LimitUpper LimitNote
Record Count: 7
American Indian, Alaskan Native16.8%12.5%22.3%
Asian4.0%2.2%7.2%*Estimate may not be reliable.
Black, African American9.2%5.3%15.4%*Estimate may not be reliable.
Native Hawaiian, Pacific Islander19.6%11.4%31.6%
White6.9%6.5%7.3%
Other11.4%9.0%14.2%
All Races/Ethnicities7.4%7.0%7.8%

Data Notes

"Don't know" and "Refused" responses were eliminated from the denominator. In 2016, Utah BRFSS modified its methodology for age adjustment for increased precision. With this change Utah is consistent with both the U.S. and other states using IBIS. Data has been updated from 2011 onward in all chart views to reflect this change.   Age-adjusted to U.S. 2000 standard population based on 3 age groups: 18-34, 35-49, and 50+.

Data Source

Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of Health

References and Community Resources

American Diabetes Association[[br]] [http://www.diabetes.org][[br]] [[br]] Diabetes Prevention Program[[br]] National Diabetes Information Clearinghouse[[br]] [http://diabetes.niddk.nih.gov/dm/pubs/preventionprogram][[br]] [[br]] Division of Diabetes Translation, Centers for Disease Control and Prevention[[br]] [http://www.cdc.gov/diabetes][[br]] [[br]] American Association of Diabetes Educators [[br]] [http://www.diabeteseducator.org][[br]] [[br]] Much of the information for this indicator was taken from the American Diabetes Association site at [http://www.diabetes.org/diabetes-statistics.jsp]. Information on registering for self-management prediabetes and diabetes programs can be found here [http://livingwell.utah.gov/index.php]

More Resources and Links

Evidence-based community health improvement ideas and interventions may be found at the following sites:

Additional indicator data by state and county may be found on these Websites:

Medical literature can be queried at the PubMed website.

For an on-line medical dictionary, click on this Dictionary link.

Page Content Updated On 11/29/2017, Published on 11/29/2017
The information provided above is from the Department of Health's Center for Health Data IBIS-PH web site (http://ibis.health.state.gov). The information published on this website may be reproduced without permission. Please use the following citation: " Retrieved Mon, 24 September 2018 13:19:12 from Department of Health, Center for Health Data, Indicator-Based Information System for Public Health Web site: http://ibis.health.state.gov ".

Content updated: Wed, 29 Nov 2017 13:48:37 MST