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.Why Is This Important?
Obesity is a costly and serious chronic condition.^1^ Adults who have obesity are at an increased risk of other health conditions and diseases, such as high blood pressure and cholesterol, coronary heart disease, type 2 diabetes, breathing problems, stroke, gallbladder disease, and osteoarthritis. The economic impacts of obesity include an estimated $173 billion in annual medical care costs.^2^ While there is no single solution to addressing obesity, state and local organizations, communities, and individuals can create environments that support healthy lifestyles. This includes supporting Family Healthy Weight Programs, healthy eating and active living in community settings, and implementing early care and education policies.^3^ To learn more about how the Healthy Environments Active Living (HEAL) Program is supporting these strategies, visit [https://heal.utah.gov/ heal.utah.gov][[br]] [[br]] ---- 1. CDC [https://www.cdc.gov/obesity/index.html/ Overweight and Obesity][[br]] 2. CDC [https://www.cdc.gov/obesity/basics/consequences.html/ Consequences of Obesity][[br]] 3. CDC [https://www.cdc.gov/obesity/php/about/obesity-strategies-what-can-be-done.html]Other Objectives
The new U.S. Healthy People 2030 objective is Nutrition and Weight Status 03 (NWS-03): Reduce the proportion of adults with obesity. The U.S. target has been set for 36.0 percent of adults aged 20 or over. See [https://health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03/ Healthy People 2030].How Are We Doing?
In 5 years, the age-adjusted percentage of adult Utahns that have obesity increased from 29.9% in 2019 to 31.0% in 2023.How Do We Compare With the U.S.?
The prevalence of obesity in Utah adults is slightly lower than the U.S. In 2023, the age-adjusted obesity prevalence rate in Utah adults was 31.0%, while the prevalence for U.S. adults was 33.1% (18+). Nevertheless, Utah still has a lower obesity rate than most states. See [https://nccd.cdc.gov/BRFSSPrevalence/rdPage.aspx?rdReport=DPH_BRFSS.ExploreByTopic&irbLocationType=StatesAndMMSA&islClass=CLASS14&islTopic=TOPIC09&islYear=2023&rdRnd=1025 map of U.S. obesity rates].What Is Being Done?
The Utah Department of Health and Human Services Healthy Environments Active Living (HEAL) Program plays a key role in improving the health of residents in the state of Utah. The program was formed in July 2013 (as Healthy Living through Environment, Policy, and Improved Clinical Care: EPICC), through a new funding opportunity from the Centers of Disease Control and Prevention (CDC). This allowed for the merging of three previously existing programs: the Heart Disease and Stroke Prevention Program, the Diabetes Prevention and Control Program, and the Physical Activity, Nutrition and Obesity Program, as well as the addition of a school health program. HEAL was recently restructured as part of a strategic planning process. This new program model focuses on staff and partners working together to address the social determinants of health while advancing health equity and increasing policy, systems, and environmental changes. HEAL works: In schools:[[br]] HEAL encourages [https://heal.utah.gov/schools/ schools] to adopt the [https://www.cdc.gov/healthyschools/professional_development/e-learning/CSPAP/index.html/ Comprehensive School Physical Activity Program]. This framework encourages students to be physically active for 60 minutes a day through school, home, and community activities. HEAL also works with schools to apply the [https://www.cdc.gov/healthyschools/wscc/index.htm/ Whole School, Whole Community, Whole Child Model], which emphasizes the role of the community in supporting academic and health success for students. In worksites:[[br]] HEAL offers training on developing worksite wellness programs called Work@Health. HEAL partners with local health departments to encourage worksites to complete the CDC Scorecard and participate in yearly health risk assessments for their employees. HEAL provides toolkits and other resources for employers interested in implementing wellness programs at [https://heal.utah.gov/worksite-wellness/ Worksite Wellness]. In communities:[[br]] HEAL receives federal funding to partner with worksites, community-based organizations, and local health departments to increase access to [https://heal.utah.gov/nutrition/ fresh fruits and vegetables] in worksite and community settings. HEAL also partners with local health departments to work with cities and/or counties within their jurisdictions to foster a built environment that encourages [https://heal.utah.gov/physical-activity/ physical activity]. In healthcare:[[br]] HEAL works with health care systems to establish community clinical linkages to support individuals [https://heal.utah.gov/diabetes/ 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]] HEAL 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. Ten local health departments statewide have implemented the [https://heal.utah.gov/top-star-providers/ TOP Star Program], which aims to improve the nutrition, physical activity, and breastfeeding policies and environments to achieve best practices in childcare centers and homes.Available Services
The Utah Department of Health and Human Services houses the Healthy Environments Active Living (HEAL) Program. The [https://heal.utah.gov/ HEAL website] has information on healthy living, including the prevention of diabetes, heart disease, and stroke.Health Program Information
HEAL is a program within the Utah Department of Health and Human Services Office of Health Promotion and Prevention. HEAL focuses on enabling education and promoting change for public health by engaging its three main audiences: individuals, partners, and decision makers. HEAL champions public health initiatives and addresses the challenges of making health awareness and access truly universal and equitable in eight key areas: nutrition, heart health, diabetes, physical activity, schools, childcare, community health workers, and worksites. Staff from the HEAL Program work with healthcare providers, including diabetes educators, dietitians, pharmacists, community health centers, community health workers, worksites, and health plans to improve the care provided to Utahns across the state. [https://heal.utah.gov/about-us/ '''Overarching Goals''']:[[br]] Healthy People: Increase access to resources that empower all people in Utah to reach their full health potential. Healthy Communities: Increase the capacity of communities to support and promote healthy living for all individuals. Equitable Society: Increase opportunities for people who are under-resourced and under-represented in Utah to live healthy and thriving lives.Related Indicators
Relevant Population Characteristics
There are considerable differences in the prevalence of obesity by subpopulations. For example, Native Hawaiian/Pacific Islander adults and American Indian/Alaskan Native adults tend to have higher rates than the state rate.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
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 [https://www.cdc.gov/obesity/basics/consequences.html Centers for Disease Control and Prevention, Overweight & Obesity: Adult Obesity Causes & Consequences.]).Related Risk Factors Indicators:
- Daily fruit consumption
- Daily vegetable consumption
- Arthritis prevalence
- Blood Cholesterol: Doctor-diagnosed High Cholesterol
- Breast Cancer Incidence
- Colorectal Cancer Incidence
- Diabetes Prevalence
- Fair/poor health
- Blood Pressure: Doctor-diagnosed Hypertension
- Obesity among children and adolescents
- Overweight or obese
- Physical activity: recommended aerobic activity among adults
- Physical activity: recommended muscle-strengthening among adults
- Prostate cancer incidence
Graphical Data Views
Adult obesity, Utah and U.S., 2002-2023
Obesity in the U.S. and in Utah continues to increase.
| BRFSS Utah vs. U.S. | Year | Age-adjusted percentage of adults | Lower Limit | Upper Limit | ||
|---|---|---|---|---|---|---|
Record Count: 46 | ||||||
| UT Old Methodology | 2002 | 19.0% | 17.4% | 20.6% | ||
| UT Old Methodology | 2003 | 21.5% | 19.8% | 23.3% | ||
| UT Old Methodology | 2004 | 21.1% | 19.7% | 22.4% | ||
| UT Old Methodology | 2005 | 22.1% | 20.7% | 23.5% | ||
| UT Old Methodology | 2006 | 22.8% | 21.5% | 24.3% | ||
| UT Old Methodology | 2007 | 23.1% | 21.7% | 24.6% | ||
| UT Old Methodology | 2008 | 24.0% | 22.6% | 25.5% | ||
| UT Old Methodology | 2009 | 24.8% | 23.7% | 25.9% | ||
| UT Old Methodology | 2010 | 24.0% | 22.9% | 25.1% | ||
| US Old Methodology | 2002 | 21.8% | 21.4% | 22.1% | ||
| US Old Methodology | 2003 | 22.7% | 22.4% | 23.0% | ||
| US Old Methodology | 2004 | 23.4% | 23.1% | 23.7% | ||
| US Old Methodology | 2005 | 24.4% | 24.1% | 24.7% | ||
| US Old Methodology | 2006 | 25.0% | 24.6% | 25.3% | ||
| US Old Methodology | 2007 | 25.9% | 25.6% | 26.2% | ||
| US Old Methodology | 2008 | 26.5% | 26.2% | 26.8% | ||
| US Old Methodology | 2009 | 27.1% | 26.8% | 27.4% | ||
| US Old Methodology | 2010 | 27.4% | 27.1% | 27.7% | ||
| UT New Methodology | 2009 | 25.5% | 24.4% | 26.6% | ||
| UT New Methodology | 2010 | 25.2% | 24.2% | 26.3% | ||
| UT New Methodology | 2011 | 25.2% | 24.2% | 26.2% | ||
| UT New Methodology | 2012 | 25.0% | 24.0% | 26.0% | ||
| UT New Methodology | 2013 | 25.1% | 24.1% | 26.0% | ||
| UT New Methodology | 2014 | 26.6% | 25.7% | 27.4% | ||
| UT New Methodology | 2015 | 25.2% | 24.2% | 26.2% | ||
| UT New Methodology | 2016 | 26.2% | 25.1% | 27.4% | ||
| UT New Methodology | 2017 | 26.0% | 24.9% | 27.1% | ||
| UT New Methodology | 2018 | 28.4% | 27.3% | 29.5% | ||
| UT New Methodology | 2019 | 29.9% | 28.8% | 31.0% | ||
| UT New Methodology | 2020 | 29.4% | 28.2% | 30.5% | ||
| UT New Methodology | 2021 | 31.8% | 30.6% | 32.9% | ||
| UT New Methodology | 2022 | 32.0% | 30.7% | 33.2% | ||
| UT New Methodology | 2023 | 31.0% | 29.8% | 32.2% | ||
| US New Methodology | 2011 | 27.4% | 27.1% | 27.6% | ||
| US New Methodology | 2012 | 27.7% | 27.4% | 28.0% | ||
| US New Methodology | 2013 | 28.3% | 28.0% | 28.6% | ||
| US New Methodology | 2014 | 29.0% | 28.7% | 29.2% | ||
| US New Methodology | 2015 | 28.9% | 28.6% | 29.2% | ||
| US New Methodology | 2016 | 29.6% | 29.4% | 29.9% | ||
| US New Methodology | 2017 | 30.1% | 29.8% | 30.4% | ||
| US New Methodology | 2018 | 31.1% | 30.8% | 31.4% | ||
| US New Methodology | 2019 | 31.5% | 31.2% | 31.8% | ||
| US New Methodology | 2020 | 32.2% | 31.8% | 32.5% | ||
| US New Methodology | 2021 | 33.3% | 32.6% | 33.3% | ||
| US New Methodology | 2022 | 33.3% | 33.0% | 33.6% | ||
| US New Methodology | 2023 | 33.1% | 32.8% | 33.4% | ||
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.^1^ 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html]. [[br]][[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.utah.gov/ibisph-view/pdf/opha/resource/brfss/RakingImpact2011.pdf].Data Sources
- Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS) [https://ibis.utah.gov/ibisph-view/query/selection/brfss/BRFSSSelection.html]
- Behavioral Risk Factor Surveillance System Survey Data, US Department of Health and Human Services Centers for Disease Control and Prevention (CDC).
Adult obesity by age and sex, Utah, 2023
Rates shown are crude rates. The overall obesity rate for males in 2023 was 30.1%, compared to 30.2% for females (not shown). Differences were not significantly different. The overall crude rate for obesity was 30.2% (29.0%-31.4%) in 2023 (not shown in the table).
| Males vs. Females | Age group | Crude percentage of adults | Lower Limit | Upper Limit | ||
|---|---|---|---|---|---|---|
Record Count: 12 | ||||||
| Male | 18-34 | 24.3% | 21.4% | 27.4% | ||
| Male | 35-49 | 33.6% | 30.5% | 36.9% | ||
| Male | 50-64 | 38.4% | 34.8% | 42.0% | ||
| Male | 65+ | 27.6% | 24.6% | 30.9% | ||
| Female | 18-34 | 24.0% | 20.9% | 27.4% | ||
| Female | 35-49 | 35.3% | 31.9% | 38.7% | ||
| Female | 50-64 | 37.0% | 33.1% | 41.0% | ||
| Female | 65+ | 28.2% | 25.2% | 31.5% | ||
| Total | 18-34 | 24.2% | 22.0% | 26.4% | ||
| Total | 35-49 | 34.4% | 32.1% | 36.8% | ||
| Total | 50-64 | 37.7% | 35.1% | 40.4% | ||
| Total | 65+ | 27.9% | 25.8% | 30.2% | ||
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.^1^ 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html]Data Source
Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS) [https://ibis.utah.gov/ibisph-view/query/selection/brfss/BRFSSSelection.html]Adult obesity by local health district, Utah, 2023
San Juan (41.1%) and Tooele County (38.5%) local health districts had the highest obesity rates in 2023. Summit County local health district had the lowest rate at 13.0%.
| Local health district | Age-adjusted percentage of adults | Lower Limit | Upper Limit | Note | ||
|---|---|---|---|---|---|---|
Record Count: 14 | ||||||
| Bear River | 30.1% | 25.0% | 35.8% | |||
| Central | 32.2% | 26.5% | 38.5% | |||
| Davis County | 34.7% | 30.6% | 39.1% | |||
| Salt Lake County | 28.5% | 26.4% | 30.6% | Lower than the state | ||
| San Juan | 41.1% | 28.4% | 55.1% | |||
| Southeast | 31.6% | 25.7% | 38.2% | |||
| Southwest | 34.3% | 30.0% | 38.8% | |||
| Summit | 13.0% | 8.5% | 19.4% | Lower than the state | ||
| Tooele | 38.5% | 32.6% | 44.7% | Higher than the state | ||
| TriCounty | 35.5% | 29.1% | 42.4% | |||
| Utah County | 31.3% | 28.8% | 34.0% | |||
| Wasatch | 19.7% | 14.0% | 27.1% | Lower than the state | ||
| Weber-Morgan | 35.5% | 31.5% | 39.7% | Higher than the state | ||
| State of Utah | 31.0% | 29.8% | 32.2% | |||
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.^1^ 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html]. [[br]] [[br]] Percentages have been age-adjusted to the U.S. 2000 standard population. [[br]]Data Source
Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS) [https://ibis.utah.gov/ibisph-view/query/selection/brfss/BRFSSSelection.html]Adult obesity by Utah Small Area, 2019-2023
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 (9.6%) of all the Utah Small Areas. San Juan (Other) had the highest rate of obesity (48.3%). Note that the state rate represents the rate for the combined five-year period.
| Utah Small Areas | Age-adjusted percentage of adults | Lower Limit | Upper Limit | Note | ||
|---|---|---|---|---|---|---|
Record Count: 100 | ||||||
| Brigham City | 35.0% | 29.2% | 41.3% | |||
| Box Elder Co (Other) V2 | 32.6% | 25.0% | 41.2% | |||
| Tremonton | 34.8% | 28.2% | 42.0% | |||
| Logan V2 | 27.1% | 23.4% | 31.2% | |||
| North Logan | 32.8% | 26.7% | 39.5% | |||
| Cache (Other)/Rich (All) V2 | 27.6% | 23.0% | 32.6% | |||
| Hyrum | 30.6% | 22.1% | 40.5% | |||
| Smithfield | 31.3% | 23.7% | 40.0% | |||
| Ben Lomond | 36.8% | 33.0% | 40.8% | Higher than the state | ||
| Weber County (East) | 30.9% | 26.5% | 35.8% | |||
| Morgan County | 25.0% | 18.0% | 33.5% | |||
| Ogden (Downtown) | 31.6% | 27.3% | 36.3% | |||
| South Ogden | 34.1% | 29.5% | 39.0% | |||
| Roy/Hooper | 37.5% | 32.8% | 42.4% | Higher than the state | ||
| Riverdale | 37.8% | 31.7% | 44.2% | Higher than the state | ||
| Clearfield Area/Hooper | 39.9% | 35.7% | 44.2% | Higher than the state | ||
| Layton/South Weber | 31.1% | 27.7% | 34.7% | |||
| Kaysville/Fruit Heights | 25.0% | 20.6% | 30.0% | Lower than the state | ||
| Syracuse | 39.4% | 33.6% | 45.6% | Higher than the state | ||
| Centerville | 39.1% | 31.7% | 47.2% | Higher than the state | ||
| Farmington | 25.4% | 19.7% | 32.1% | |||
| North Salt Lake | 27.6% | 21.3% | 34.9% | |||
| Woods Cross/West Bountiful | 39.3% | 30.2% | 49.2% | |||
| Bountiful | 30.0% | 25.6% | 34.8% | |||
| SLC (Rose Park) | 32.0% | 26.6% | 37.9% | |||
| SLC (Avenues) | 11.2% | 7.7% | 16.0% | Lower than the state | ||
| SLC (Foothill/East Bench) | 11.3% | 7.6% | 16.5% | Lower than the state | ||
| Magna | 44.9% | 39.1% | 50.9% | Higher than the state | ||
| SLC (Glendale) V2 | 34.9% | 27.4% | 43.2% | |||
| West Valley (Center) | 40.0% | 35.1% | 45.2% | Higher than the state | ||
| West Valley (West) V2 | 38.0% | 32.0% | 44.4% | Higher than the state | ||
| West Valley (East) V2 | 40.0% | 34.9% | 45.3% | Higher than the state | ||
| SLC (Downtown) V2 | 24.4% | 20.3% | 29.2% | Lower than the state | ||
| SLC (Southeast Liberty) | 14.4% | 10.1% | 20.2% | Lower than the state | ||
| South Salt Lake | 29.2% | 23.3% | 35.8% | |||
| SLC (Sugar House) | 25.2% | 21.0% | 29.9% | Lower than the state | ||
| Millcreek (South) | 20.7% | 15.2% | 27.4% | Lower than the state | ||
| Millcreek (East) | 16.6% | 12.3% | 22.1% | Lower than the state | ||
| Holladay V2 | 17.5% | 13.1% | 22.9% | Lower than the state | ||
| Cottonwood | 17.7% | 14.1% | 22.1% | Lower than the state | ||
| Kearns V2 | 45.1% | 39.3% | 51.1% | Higher than the state | ||
| Taylorsville (E)/Murray (W) | 35.0% | 30.2% | 40.1% | |||
| Taylorsville (West) | 36.0% | 30.8% | 41.5% | Higher than the state | ||
| Murray | 30.4% | 25.4% | 36.0% | |||
| Midvale | 33.2% | 27.8% | 39.0% | |||
| West Jordan (Northeast) V2 | 34.9% | 29.6% | 40.5% | |||
| West Jordan (Southeast) | 36.8% | 31.7% | 42.2% | Higher than the state | ||
| West Jordan (W)/Copperton | 35.5% | 30.3% | 40.9% | |||
| South Jordan V2 | 29.2% | 24.6% | 34.3% | |||
| Daybreak | 29.5% | 24.5% | 35.2% | |||
| Sandy (West) | 33.7% | 27.6% | 40.4% | |||
| Sandy (Center) V2 | 33.3% | 27.8% | 39.4% | |||
| Sandy (Northeast) | 21.3% | 16.2% | 27.4% | Lower than the state | ||
| Sandy (Southeast) | 20.9% | 16.1% | 26.6% | Lower than the state | ||
| Draper | 23.9% | 19.5% | 28.9% | Lower than the state | ||
| Riverton/Bluffdale | 27.8% | 23.8% | 32.1% | |||
| Herriman | 31.4% | 27.1% | 36.1% | |||
| Tooele County (Other) | 34.2% | 28.6% | 40.3% | |||
| Tooele Valley | 37.7% | 34.5% | 41.0% | Higher than the state | ||
| Eagle Mountain/Cedar Valley | 37.3% | 32.1% | 42.9% | Higher than the state | ||
| Lehi | 27.5% | 24.2% | 31.0% | |||
| Saratoga Springs | 29.2% | 23.9% | 35.1% | |||
| American Fork | 30.3% | 26.3% | 34.7% | |||
| Alpine | 20.8% | 13.6% | 30.4% | Lower than the state | ||
| Pleasant Grove/Lindon | 29.2% | 25.7% | 32.9% | |||
| Orem (North) | 35.3% | 30.5% | 40.5% | |||
| Orem (West) | 28.7% | 24.4% | 33.5% | |||
| Orem (East) | 26.7% | 21.5% | 32.5% | |||
| Provo/BYU | 23.5% | 19.3% | 28.3% | Lower than the state | ||
| Provo (West City Center) | 33.3% | 28.2% | 38.7% | |||
| Provo (East City Center) | 27.8% | 22.1% | 34.4% | |||
| Salem City | 26.2% | 19.2% | 34.7% | |||
| Spanish Fork | 32.3% | 28.1% | 36.9% | |||
| Springville | 33.8% | 28.8% | 39.1% | |||
| Mapleton | 30.4% | 22.5% | 39.8% | |||
| Utah County (South) V2 | 33.5% | 26.8% | 41.0% | |||
| Payson | 35.3% | 29.9% | 41.1% | |||
| Park City | 9.6% | 6.7% | 13.5% | Lower than the state | ||
| Summit County (East) | 23.9% | 19.1% | 29.6% | Lower than the state | ||
| Wasatch County | 23.2% | 19.9% | 26.9% | Lower than the state | ||
| Daggett and Uintah County | 37.1% | 33.9% | 40.5% | Higher than the state | ||
| Duchesne County | 29.9% | 25.9% | 34.2% | |||
| Nephi/Mona | 32.7% | 24.8% | 41.7% | |||
| Delta/Fillmore | 27.6% | 21.2% | 35.0% | |||
| Sanpete Valley | 30.7% | 25.7% | 36.3% | |||
| Central (Other) | 30.2% | 25.9% | 34.9% | |||
| Richfield/Monroe/Salina | 37.1% | 31.9% | 42.6% | Higher than the state | ||
| Carbon County | 37.1% | 32.8% | 41.6% | Higher than the state | ||
| Emery County | 34.6% | 29.4% | 40.3% | |||
| Grand County | 25.0% | 18.0% | 33.5% | |||
| Blanding/Monticello | 32.4% | 26.2% | 39.4% | |||
| San Juan County (Other) | 48.3% | 37.3% | 59.5% | Higher than the state | ||
| St. George | 33.4% | 30.0% | 36.9% | |||
| Washington Co (Other) V2 | 29.2% | 20.9% | 39.1% | |||
| Washington City | 24.5% | 18.9% | 31.1% | |||
| Hurricane/La Verkin | 35.2% | 29.2% | 41.7% | |||
| Ivins/Santa Clara | 29.1% | 21.2% | 38.5% | |||
| Cedar City | 34.7% | 30.1% | 39.5% | |||
| Southwest LHD (Other) | 26.7% | 21.5% | 32.7% | |||
| State of Utah | 30.8% | 30.3% | 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.^1^ 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html]. [[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.utah.gov/ibisph-view/resource/Guidelines.html].Data Source
Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS) [https://ibis.utah.gov/ibisph-view/query/selection/brfss/BRFSSSelection.html]Adult obesity by ethnicity, Utah, 2023
Adults who are Hispanic or Latino have statistically significantly higher rates of obesity than adults who are non-Hispanic.
| Hispanic ethnicity | Age-adjusted percentage of adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 3 | ||||||
| Hispanic/Latino | 37.8% | 34.0% | 41.8% | |||
| Non-Hispanic/Latino | 30.0% | 28.8% | 31.3% | |||
| All ethnicities | 31.0% | 29.8% | 32.2% | |||
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.^1^ 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html]. [[br]] [[br]] Age-adjusted to U.S. 2000 standard population.Data Source
Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS) [https://ibis.utah.gov/ibisph-view/query/selection/brfss/BRFSSSelection.html]Adult obesity by race, Utah, 2023
The highest rate of obesity was seen for Pacific Islander adults (70.6%) and the lowest rate was reported for Asian adults (17.5%).
| Race | Age-adjusted percentage of adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 8 | ||||||
| American Indian/Alaska Native | 40.3% | 30.5% | 50.9% | |||
| Asian | 17.5% | 10.8% | 27.2% | |||
| Black, African American | 35.1% | 23.2% | 49.1% | |||
| Native Hawaiian, Pacific Islander | 70.6% | 54.5% | 82.9% | |||
| White | 30.1% | 28.9% | 31.4% | |||
| Other | 25.3% | 16.8% | 36.2% | |||
| Two or more races | 24.5% | 17.0% | 34.0% | |||
| All races | 30.7% | 29.5% | 31.9% | |||
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.^1^ 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html]. [[br]] [[br]] Age-adjusted to U.S. 2000 standard population with three age groups.[[br]]Data Source
Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS) [https://ibis.utah.gov/ibisph-view/query/selection/brfss/BRFSSSelection.html]Adult obesity by education (ages 25+), Utah, 2023
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 level | Age-adjusted percentage of adults 25+ | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 5 | ||||||
| Less than high school | 37.9% | 32.0% | 44.2% | |||
| H.S. grad or G.E.D. | 35.4% | 32.7% | 38.1% | |||
| Some post high school | 37.0% | 34.5% | 39.6% | |||
| College graduate | 27.3% | 25.6% | 29.0% | |||
| Total | 33.2% | 31.9% | 34.5% | |||
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.^1^ 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html]. [[br]] [[br]] Age-adjusted to U.S. 2000 standard population.Data Source
Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS) [https://ibis.utah.gov/ibisph-view/query/selection/brfss/BRFSSSelection.html]Adult obesity by income, Utah, 2023
Lower rates of obesity are seen for adults in households with annal incomes of $75,000 or higher.
| Income category | Age-adjusted percentage of adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 5 | ||||||
| <$25,000 | 38.5% | 33.7% | 43.4% | |||
| $25,000-$49,999 | 34.7% | 31.4% | 38.1% | |||
| $50,000-$74,999 | 33.8% | 30.4% | 37.3% | |||
| $75,000+ | 28.9% | 27.2% | 30.7% | |||
| Total | 31.0% | 29.8% | 32.2% | |||
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.^1^ 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html]. [[br]] [[br]] Age-adjusted to U.S. 2000 standard population.Data Source
Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS) [https://ibis.utah.gov/ibisph-view/query/selection/brfss/BRFSSSelection.html]Adult obesity by disability, Utah, 2023
Disability can make it more challenging to be active, eat well, and control weight (see [https://www.cdc.gov/ncbddd/disabilityandhealth/obesity.html]). The highest rates of obesity is seen for adults with mobility disabilities.
| Disability type | Age-adjusted percentage of adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 7 | ||||||
| Cognitive disability | 37.1% | 33.7% | 40.7% | |||
| Mobility disability | 51.6% | 45.7% | 57.4% | |||
| Self-care disability | 46.2% | 35.5% | 57.1% | |||
| Independent living disability | 43.6% | 38.3% | 49.1% | |||
| Difficulty seeing or blind | 30.5% | 24.4% | 37.4% | |||
| Difficulty hearing or deaf | 36.5% | 29.1% | 31.9% | |||
| No disability | 27.8% | 26.5% | 29.2% | |||
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.^1^ 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html]. Rates are age-adjusted.Data Source
Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS) [https://ibis.utah.gov/ibisph-view/query/selection/brfss/BRFSSSelection.html]References and Community Resources
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/science/obesity-nutrition-and-physical-activity] Trust for America's Health - [https://www.tfah.org/]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:
- CDC Prevention Status Reports for all 50 states
- County Health Rankings
- Kaiser Family Foundation's StateHealthFacts.org
- CDC WONDER DATA2010, the Healthy People 2010 Database.
Medical literature can be queried at the PubMed website.
Page Content Updated On 10/18/2024,
Published on 10/22/2024
