Skip directly to searchSkip directly to the site navigationSkip directly to the page's main content

Complete Health Indicator Report of Obesity Among Adults

Definition

Percentage of respondents aged 18 years and older who have a body mass index (BMI) greater than or equal to 30.0 kg/m^2^ calculated from self-reported weight and height.

Numerator

Number of respondents aged 18 years and older who have a body mass index (BMI) greater than or equal to 30.0 kg/m^2^ calculated from self-reported weight and height.

Denominator

Number of respondents aged 18 years and older for whom BMI can be calculated from their self-reported weight and height (excludes unknowns or refusals for weight and height).

Data Interpretation Issues

Height and weight are self-reported and are subject to being misreported. To reduce bias and more accurately represent population data, the BRFSS has changed survey methodology. In 2010, it began conducting surveys by cellular phone in addition to landline phones. It also adopted "iterative proportional fitting" (raking) as its weighting method. More details about these changes can be found at: [https://ibis.health.utah.gov/pdf/opha/resource/brfss/RakingImpact2011.pdf].

Why Is This Important?

Obesity can be costly and serious. Adults who are obese have an increased risk of hypertension, high LDL cholesterol, type 2 diabetes, coronary heart disease, stroke, and osteoarthritis.

Healthy People Objective NWS-9:

Reduce the proportion of adults who are obese
U.S. Target: 30.5 percent
State Target: 24.0 percent

How Are We Doing?

Since 2000, the age-adjusted percentage of Utah adults who were obese has increased from 19.5% in 2000 to 28.4% in 2018. Nevertheless, Utah still has a lower obesity rate than most states. According to a recent ''State of Obesity'' report, in 2018, Utah ranked 40th highest among the 50 states and the District of Columbia ([https://www.stateofobesity.org/adult-obesity]).

How Do We Compare With the U.S.?

The age-adjusted prevalence of obesity in Utah adults is slightly lower than the U.S. In 2018, the obesity prevalence rate in Utah adults was 28.4%, while the prevalence for U.S. adults was 31.1%.

What Is Being Done?

The Healthy Living through Environment, Policy, and Improved Clinical Care (EPICC) Program was established through funding from the Centers for Disease Control and Prevention (CDC). The EPICC Program focuses on environmental approaches that promote health, specifically promoting policies around healthy eating and active living. The EPICC Program works: In Schools:[[br]] 1) Schools are encouraged to adopt the Comprehensive School Physical Activity Program. This framework encourages students to be physically active for 60 minutes a day through school, home, and community activities.[[br]] 2) Height and weight trends are being tracked in a sample of elementary students to monitor Utah students.[[br]] 3) Action for Healthy Kids brings partners together to improve nutrition and physical activity environments in Utah schools by implementing the school-based state plan strategies, working with local school boards to improve or develop policies for nutritious foods in schools. This includes recommendations for healthy vending options. In Worksites:[[br]] 1) The Utah Health Improvement Plan--a public and private partnership--has selected worksites as their priority for the goal of Preventing Obesity and Related Chronic Conditions. A smaller workgroup, UHIP-O, works to create a culture of health within businesses in the state of Utah. 2) The Utah Council for Worksite Health Promotion recognizes businesses that offer employee fitness and health promotion programs.[[br]] 3) The EPICC Program partners with local health departments to encourage worksites to complete the CDC Scorecard and participate in yearly health risk assessment for their employees. The EPICC Program provides toolkits and other resources for employers interested in implementing wellness programs through the [http://choosehealth.utah.gov choosehealth.utah.gov] website: [http://choosehealth.utah.gov/worksites/why-worksite-wellness.php]. -- In Communities:[[br]] 1) Local health departments (LHDs) receive federal funding to partner with schools, worksites, and other community-based organizations to increase access to fresh fruits and vegetables through food service guidelines, farmers markets, and retail stores. LHDs also work with cities within their jurisdictions to create a built environment that encourages physical activity. In Healthcare:[[br]] 1) The EPICC Program works with health care systems to establish community clinical linkages to support individuals at risk for or diagnosed with diabetes or hypertension to engage in lifestyle change programs such as chronic disease self-management and diabetes prevention programs. In Childcare:[[br]] 1) Ten LHDs statewide have implemented the TOP Star program, which aims to improve the nutrition, physical activity, and breastfeeding environments and achieve best practice in child care centers and homes.[[br]] 2) The EPICC Program works with state and local partners through the Childcare Obesity Prevention workgroup to implement policy and systems changes in early care and education across agencies statewide.

Evidence-based Practices

The EPICC Program promotes evidence-based practices collected by the Center for Training and Research Translation (Center TRT). The Center TRT bridges the gap between research and practice and supports the efforts of public health practitioners working in nutrition, physical activity, and obesity prevention by: *Reviewing evidence of public health impact and disseminating population-level interventions; *Designing and providing practice-relevant training both in-person and web-based; *Addressing social determinants of health and health equity through training and translation efforts; and, *Providing guidance on evaluating policies and programs aimed at impacting healthy eating and physical activity. [[br]] Appropriate evidence-based interventions can be found at: [http://www.centertrt.org/?p=interventions_interventions_overview]

Available Services

Action for Healthy Kids Local School Policy CD - for more information, call 801-538-6142. The Utah Department of Health houses the Healthy Living through Environment, Policy and Improved Clinical Care (EPICC) Program. The EPICC website has information on healthy living, including prevention of diabetes, heart disease, and stroke on [http://www.choosehealth.utah.gov]. The Utah Worksite Wellness Council is a non-profit organization made up of volunteers from organizations across Utah. Information is available at [http://utahworksitewellness.org].


Related Indicators

Relevant Population Characteristics

The age-adjusted proportion of Utahns aged 18 or older with a BMI indicating obesity (>=30 kg/m^2^ ) has increased since 1990 (from 9.9% in 1990 to 28.4% in 2018). Although the increase appears to be leveling off, obesity remains a serious public health problem affecting more than one in four Utah adults (the crude rate of obesity in 2018 was 27.8%). There are considerable differences in the prevalence of obesity by subpopulations. For example, the highest rates of obesity were seen for adults aged 50 to 64, 33.4%, compared to the state rate of 27.8%. (Note crude rates were used to compare by age groups.) Native Hawaiian/Pacific Islander adults and American Indian/Alaskan Native adults had rates much higher than the state rate, with age-adjusted rates of 50.0% and 36.7%, respectively, compared to 27.1% for the state for 2017-2018 combined.

Related Relevant Population Characteristics Indicators:


Health Care System Factors

The cost of obesity is hard to specify, as the methods used can be very different for each study. One study, using data from the Medical Expenditure Panel Survey, found that medical costs for obese adults can be 42% higher than costs for adults at a normal weight for both public and private payers [Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual Medical Spending Attributable to Obesity: Payer-and Service-Specific Estimates. Health Affairs, 28(5): w822-831, 2009].

Related Health Care System Factors Indicators:


Risk Factors

Genetics, family history, some diseases (e.g., polycystic ovary syndrome), and some drugs (e.g., steroids) are risk factors for obesity that are often outside of one's control. But there are things that people can do that can reduce their risk of obesity. Behaviors such as engaging in physical activity and having a healthy diet can have a significant impact on reducing the risk (see Centers for Disease Control and Prevention, Overweight & Obesity: Adult Obesity Causes & Consequences. [https://www.cdc.gov/obesity/adult/causes.html]).

Related Risk Factors Indicators:


Health Status Outcomes

More than one-fourth of all adults in Utah were obese in 2018 (28.4%, age-adjusted rate; 27.8%, crude rate). Populations with high rates of obesity often have high rates of diabetes and high blood pressure (Nguyen NT, Nguyen XM, Lane J, Wang P. Relationship between obesity and diabetes in a U.S. adult population: findings from the National Health and Nutrition Examination Survey, 1999-2006. Obes Surg. 2011 Mar;21(3):351-5. doi: 10.1007/s11695-010-0335-4).

Related Health Status Outcomes Indicators:




Graphical Data Views

Adult Obesity, Utah and U.S., 1989-2018

::chart - missing::
confidence limits

Obesity in the U.S. and in Utah continue to increase, although the increase in rates may be beginning to level off.
BRFSS Utah vs. U.S.YearAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 62
UT Old Methodology198910.5%8.9%12.1%
UT Old Methodology19909.9%8.3%11.5%
UT Old Methodology199111.0%9.3%12.7%
UT Old Methodology199212.4%10.6%14.2%
UT Old Methodology199312.0%10.3%13.7%
UT Old Methodology199412.4%10.7%14.0%
UT Old Methodology199513.7%12.0%15.4%
UT Old Methodology199613.9%12.1%15.7%
UT Old Methodology199715.8%14.1%17.5%
UT Old Methodology199816.5%14.5%18.4%
UT Old Methodology199916.9%15.1%18.8%
UT Old Methodology200019.5%17.6%21.5%
UT Old Methodology200119.3%17.7%21.0%
UT Old Methodology200219.0%17.4%20.6%
UT Old Methodology200321.5%19.8%23.3%
UT Old Methodology200421.1%19.7%22.4%
UT Old Methodology200522.1%20.7%23.5%
UT Old Methodology200622.8%21.5%24.3%
UT Old Methodology200723.1%21.7%24.6%
UT Old Methodology200824.0%22.6%25.5%
UT Old Methodology200924.8%23.7%25.9%
UT Old Methodology201024.0%22.9%25.1%
US Old Methodology198911.3%10.9%11.7%
US Old Methodology199011.9%11.5%12.3%
US Old Methodology199112.8%12.4%13.2%
US Old Methodology199213.5%13.2%13.9%
US Old Methodology199314.4%14.1%14.8%
US Old Methodology199415.1%14.8%15.5%
US Old Methodology199515.9%15.5%16.3%
US Old Methodology199616.4%16.1%16.7%
US Old Methodology199716.9%16.6%17.3%
US Old Methodology199818.4%18.1%18.8%
US Old Methodology199919.4%19.1%19.8%
US Old Methodology200020.3%20.0%20.7%
US Old Methodology200121.6%21.3%21.9%
US Old Methodology200221.8%21.4%22.1%
US Old Methodology200322.7%22.4%23.0%
US Old Methodology200423.4%23.1%23.7%
US Old Methodology200524.4%24.1%24.7%
US Old Methodology200625.0%24.6%25.3%
US Old Methodology200725.9%25.6%26.2%
US Old Methodology200825.5%26.2%26.8%
US Old Methodology200927.1%26.8%27.4%
US Old Methodology201027.4%27.1%27.7%
UT New Methodology200925.5%24.4%26.6%
UT New Methodology201025.2%24.2%26.3%
UT New Methodology201125.2%24.2%26.2%
UT New Methodology201225.0%24.0%26.0%
UT New Methodology201325.1%24.1%26.0%
UT New Methodology201426.6%25.7%27.4%
UT New Methodology201525.2%24.2%26.2%
UT New Methodology201626.2%25.1%27.4%
UT New Methodology201726.0%24.9%27.1%
UT New Methodology201828.4%27.3%29.5%
US New Methodology201127.4%27.1%27.6%
US New Methodology201227.7%27.4%28.0%
US New Methodology201328.3%28.0%28.6%
US New Methodology201429.0%28.7%29.2%
US New Methodology201528.9%28.6%29.2%
US New Methodology201629.6%29.4%29.9%
US New Methodology201730.1%29.8%30.4%
US New Methodology201831.1%30.8%31.4%

Data Notes

Obesity is defined as a body mass index (BMI) of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters. In 2016, Utah BRFSS modified its methodology for age adjustment to align with U.S. age adjustment.   [[br]]Age-adjusted to U.S. 2000 standard population.[[br]] [[br]]U.S. data does not include U.S. territories, but does include Dist. of Columbia.[[br]] [[br]] 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. Comparisons between 2011 and prior years should be made with caution. More details about these changes can be found at: [https://ibis.health.utah.gov/pdf/opha/resource/brfss/RakingImpact2011.pdf].

Data Sources

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


Adult Obesity by Age and Sex, Utah, 2018

::chart - missing::
confidence limits

Rates shown are crude rates.
Males vs. FemalesAge GroupCrude Percentage of AdultsLower LimitUpper Limit
Record Count: 12
Male18-3421.8%19.3%24.5%
Male35-4930.8%27.9%33.9%
Male50-6437.3%33.9%40.8%
Male65+30.0%27.0%33.3%
Female18-3421.6%18.7%24.8%
Female35-4931.1%28.0%34.3%
Female50-6429.4%26.2%32.7%
Female65+28.2%25.2%31.5%
Total18-3421.8%19.8%23.8%
Total35-4930.9%28.8%33.1%
Total50-6433.4%31.0%35.8%
Total65+29.2%27.0%31.5%

Data Notes

Obesity is defined as a body mass index (BMI) of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters. In 2016, Utah BRFSS modified its methodology for age adjustment to align with U.S. age adjustment.

Data Source

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


Adult Obesity by Local Health District, Utah, 2018

::chart - missing::
confidence limits

Tooele County Local Health District had the highest rate of adult obesity 43.0%, followed by San Juan County (37.0%) and Southeast Utah Local Health District (36.9%). The lowest rate was seen for Summit County Local Health District (13.4%).
Local Health DistrictAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 14
Bear River29.7%25.5%34.2%
Central35.0%29.8%40.5%
Davis County26.3%23.1%29.7%
Salt Lake County28.4%26.4%30.4%
San Juan37.0%27.7%47.5%
Southeast36.9%30.3%44.1%
Southwest26.0%22.1%30.2%
Summit13.4%9.0%19.6%
Tooele43.0%36.7%49.5%
TriCounty33.5%29.2%38.2%
Utah County28.5%26.0%31.1%
Wasatch25.2%18.2%33.8%
Weber-Morgan30.3%26.5%34.3%
State of Utah28.4%27.3%29.5%

Data Notes

Obesity is defined as a body mass index (BMI) of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters. In 2016, Utah BRFSS modified its methodology for age adjustment to align with U.S. age adjustment.   [[br]] [[br]] Percentages have been age-adjusted to the U.S. 2000 standard population. [[br]] [[br]]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.

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


Adult Obesity by Utah Small Area, 2015-2018

::chart - missing::
confidence limits

There was considerable variation in the rates of obesity by Utah Small Area. The gap between the areas with the lowest rate and the highest rate was dramatic. Park City had the lowest rate of obesity (6.8%) of all the Utah Small Areas. San Juan County (Other) had the highest rate of obesity (46.8%).
Utah Small AreasAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 100
Brigham City33.3%27.6%39.5%
Box Elder Co (Other) V233.0%25.3%41.6%
Tremonton32.9%26.3%40.1%
Logan V224.6%20.9%28.7%
North Logan21.9%16.9%28.0%
Cache (Other)/Rich (All) V225.7%20.9%31.1%
Hyrum35.3%25.1%46.9%
Smithfield28.5%21.3%37.0%
Ben Lomond35.5%31.2%40.0%
Weber County (East)23.2%19.3%27.7%
Morgan County26.6%17.4%38.3%
Ogden (Downtown)33.0%28.0%38.3%
South Ogden26.7%21.8%32.4%
Roy/Hooper36.1%31.6%40.9%
Riverdale29.9%24.5%35.8%
Clearfield Area/Hooper32.8%28.9%37.1%
Layton/South Weber25.7%22.6%29.1%
Kaysville/Fruit Heights22.1%17.9%27.1%
Syracuse25.6%20.5%31.5%
Centerville27.7%21.1%35.5%
Farmington19.7%15.2%25.2%
North Salt Lake25.5%18.8%33.7%
Woods Cross/West Bountiful29.1%22.4%36.7%
Bountiful22.0%18.2%26.3%
SLC (Rose Park)30.9%24.9%37.5%
SLC (Avenues)12.9%8.8%18.4%
SLC (Foothill/East Bench)14.9%10.5%20.6%
Magna33.6%27.5%40.3%
SLC (Glendale) V239.8%32.3%47.9%
West Valley (Center)37.2%32.1%42.6%
West Valley (West) V236.6%29.8%43.9%
West Valley (East) V236.3%30.9%42.2%
SLC (Downtown) V216.0%12.1%20.7%
SLC (Southeast Liberty)16.7%12.0%22.7%
South Salt Lake29.6%23.2%36.9%
SLC (Sugar House)20.8%16.3%26.0%
Millcreek (South)18.7%13.5%25.3%
Millcreek (East)15.9%11.6%21.4%
Holladay V227.2%20.4%35.1%
Cottonwood15.9%12.3%20.2%
Kearns V232.5%26.8%38.8%
Taylorsville (E)/Murray (W)31.9%26.7%37.5%
Taylorsville (West)31.3%26.5%36.6%
Murray27.7%22.0%34.2%
Midvale29.6%23.9%36.0%
West Jordan (Northeast) V225.5%20.3%31.5%
West Jordan (Southeast)29.3%24.3%34.9%
West Jordan (W)/Copperton27.1%22.4%32.4%
South Jordan V220.5%16.8%24.9%
Daybreak18.4%13.1%25.2%
Sandy (West)23.8%18.6%29.8%
Sandy (Center) V225.6%20.3%31.7%
Sandy (Northeast)17.2%12.8%22.7%
Sandy (Southeast)17.3%12.6%23.3%
Draper21.1%16.5%26.6%
Riverton/Bluffdale29.1%24.2%34.6%
Herriman26.1%21.3%31.6%
Tooele County (Other)31.9%26.0%38.4%
Tooele Valley36.0%32.4%39.9%
Eagle Mountain/Cedar Valley35.0%27.7%43.2%
Lehi24.9%20.9%29.4%
Saratoga Springs34.0%26.9%42.0%
American Fork23.6%19.8%28.0%
Alpine16.0%10.2%24.2%
Pleasant Grove/Lindon24.1%20.4%28.3%
Orem (North)30.0%24.9%35.6%
Orem (West)29.8%24.6%35.6%
Orem (East)23.2%17.7%29.8%
Provo/BYU21.3%16.8%26.6%
Provo (West City Center)34.9%28.9%41.5%
Provo (East City Center)27.0%18.7%37.4%
Salem City26.6%18.7%36.3%
Spanish Fork27.8%23.2%33.0%
Springville25.9%21.2%31.2%
Mapleton17.8%11.9%25.9%
Utah County (South) V230.4%23.0%39.0%
Payson28.6%23.0%35.0%
Park City6.8%3.8%11.8%
Summit County (East)19.9%15.4%25.3%
Wasatch County21.0%17.5%25.0%
Daggett and Uintah County35.4%32.1%39.0%
Duchesne County27.6%24.0%31.5%
Nephi/Mona24.2%18.3%31.3%
Delta/Fillmore31.7%25.0%39.4%
Sanpete Valley26.7%22.2%31.8%
Central (Other)29.2%24.9%33.8%
Richfield/Monroe/Salina30.7%24.9%37.2%
Carbon County28.5%23.8%33.8%
Emery County34.6%28.1%41.7%
Grand County20.2%14.8%26.9%
Blanding/Monticello35.6%28.7%43.0%
San Juan County (Other)46.8%35.6%58.3%
St. George21.8%18.8%25.2%
Washington Co (Other) V223.6%17.2%31.6%
Washington City30.1%23.9%37.2%
Hurricane/La Verkin26.6%19.8%34.8%
Ivins/Santa Clara22.7%15.1%32.6%
Cedar City26.6%22.3%31.3%
Southwest LHD (Other)23.5%18.6%29.1%
State of Utah26.5%25.9%27.0%

Data Notes

Obesity is defined as a body mass index (BMI) of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters. In 2016, Utah BRFSS modified its methodology for age adjustment to align with U.S. age adjustment.   [[br]] [[br]] Percentages have been age-adjusted to the U.S. 2000 standard population. [[br]] [[br]]A description of the Utah Small Areas and details about Small Area reclassification may be found on the Methodology and Guidelines page at: [https://ibis.health.utah.gov/resource/Guidelines.html].

Data Source

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


Adult Obesity by Ethnicity, Utah, 2018

::chart - missing::
confidence limits

Hispanic EthnicityAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 3
Hispanic29.4%25.6%33.4%
Non-Hispanic28.2%27.0%29.3%
All Utahns28.4%27.3%29.5%

Data Notes

Obesity is defined as a body mass index (BMI) of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters. In 2016, Utah BRFSS modified its methodology for age adjustment to align with U.S. age adjustment.   [[br]] [[br]] 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


Adult Obesity by Race, Utah, 2017-2018

::chart - missing::
confidence limits

The highest rate of obesity was seen for Pacific Islander adults (50.0%). The lowest rate was reported for Asian adults (13.8%).
RaceAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 7
American Indian/Native Alaskan36.7%29.9%44.0%
Asian13.8%8.8%21.0%
Black32.1%23.7%41.8%
Pacific Islander50.0%38.6%61.4%
White26.7%25.9%27.6%
Two or More Races29.0%25.4%32.8%
All Races27.1%26.3%27.9%

Data Notes

Obesity is defined as a body mass index (BMI) of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters. In 2016, Utah BRFSS modified its methodology for age adjustment to align with U.S. age adjustment.   [[br]] [[br]] Age-adjusted to U.S. 2000 standard population with three age groups.[[br]] [[br]]Two years of data were combined to improve reliability of the estimates.

Data Source

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


Adult Obesity by Disability, Utah, 2017-2018

::chart - missing::
confidence limits

Disability can make it more challenging to be active, eat well, and control weight (see [https://www.cdc.gov/ncbddd/disabilityandhealth/obesity.html]). Adults with any kind of disability have higher rates of obesity compared to those without a disability. The highest rates of obesity are seen for adults with a mobility disability or a self-care disability.
Disability TypeAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 7
Cognitive Disability34.5%31.9%37.2%
Mobility Disability43.0%38.8%47.2%
Self-care Disability45.1%38.4%52.0%
Independent Living Disability39.3%35.2%43.6%
Difficulty Seeing/Blind33.6%28.4%39.4%
Difficulty Hearing/Deaf32.8%28.0%38.0%
No Disability24.6%23.8%25.5%

Data Notes

Obesity is defined as a body mass index (BMI) of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters. In 2016, Utah BRFSS modified its methodology for age adjustment to align with U.S. age adjustment.   Rates are age-adjusted.

Data Source

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


Adult Obesity by Education (Ages 25+), Utah, 2018

::chart - missing::
confidence limits

Data were limited to adults aged 25 or older. Adults with a college degree or higher had the lowest rate of obesity of any of the education groups.
Education LevelAge-adjusted Percentage of Adults 25+Lower LimitUpper Limit
Record Count: 5
Less Than High School33.5%28.3%39.2%
H.S. Grad or G.E.D.34.3%31.8%36.8%
Some Post High School31.5%29.3%33.7%
College Graduate25.2%23.6%26.9%
Total30.1%28.9%31.3%

Data Notes

Obesity is defined as a body mass index (BMI) of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters. In 2016, Utah BRFSS modified its methodology for age adjustment to align with U.S. age adjustment.   [[br]] [[br]] 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


Adult Obesity by Income, Utah, 2018

::chart - missing::
confidence limits

Prevalence of obesity decreased as income levels increased.
Income CategoryAge-adjusted Percentage of AdultsLower LimitUpper Limit
Record Count: 5
<$25,00031.3%28.1%34.7%
$25,000-$49,99932.1%29.3%34.9%
$50,000-$74,99931.0%28.4%33.8%
$75,000+25.7%23.9%27.6%
Total28.4%27.3%29.5%

Data Notes

Obesity is defined as a body mass index (BMI) of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters. In 2016, Utah BRFSS modified its methodology for age adjustment to align with U.S. age adjustment.   [[br]] [[br]] 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

References and Community Resources

'''Resources:'''[[br]] Making the Healthy Choice the Easy Choice, The Utah Nutrition and Physical Activity Plan 2010-2020 - [http://choosehealth.utah.gov/documents/pdfs/U-PAN_State_Plan.pdf] The National Center for Chronic Disease Prevention and Health Promotion provides consumer information at [https://www.cdc.gov/obesity/index.html]. NHLBI Obesity Education Initiative - [https://www.nhlbi.nih.gov/about/org/oei] The State of Obesity: Better Policies for a Healthier America - [http://healthyamericans.org/report/115/] More information on the Behavioral Risk Factor Surveillance System may be found on the website of the Centers for Disease Control and Prevention - [http://www.cdc.gov/brfss/]. Trust for America's Health - [https://www.tfah.org/] '''References:'''[[br]] Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual Medical Spending Attributable to Obesity: Payer-and Service-Specific Estimates. Health Affairs, 28(5): w822-831, 2009. Nguyen NT, Nguyen XM, Lane J, Wang P.Obes Surg. 2011 Mar;21(3):351-5. doi: 10.1007/s11695-010-0335-4. Relationship between obesity and diabetes in a US adult population: findings from the National Health and Nutrition Examination Survey, 1999-2006. [https://www.ncbi.nlm.nih.gov/pubmed/21128002]. Kim D D; Basu A. Estimating the Medical Care Costs of Obesity in the United States: Systematic Review, Meta-Analysis, and Empirical Analysis [https://www.valueinhealthjournal.com/article/S1098-3015(16)00055-3/pdf].

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.

Page Content Updated On 11/18/2019, Published on 11/18/2019
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 Fri, 17 January 2020 13:05:37 from Department of Health, Center for Health Data, Indicator-Based Information System for Public Health Web site: http://ibis.health.state.gov ".

Content updated: Mon, 18 Nov 2019 15:11:13 MST