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 obeseU.S. Target: 30.5 percent
State Target: 24.0 percent
Other Objectives
The new U.S. Healthy People 2030 objective is NWS-03: Reduce the proportion of adults with obesity The U.S. target has been set for 36.0 percent of adults 20+ Data Source: National Health and Nutrition Examination Survey (NHANES), CDC/NCHS See :https://health.gov/healthypeople/objectives-and-data/browse-objectives/overweight-and-obesity/reduce-proportion-adults-obesity-nws-03How Are We Doing?
Since 2000, the age-adjusted percentage of Utah adults (18+) who were obese has increased from 19.5% in 2000 to 29.9% in 2019. Nevertheless, Utah still has a lower obesity rate than most states. According to a recent ''State of Obesity'' report, Utah ranked 13th lowest among the 50 states and the District of Columbia. See https://www.tfah.org/report-details/state-of-obesity-2020How Do We Compare With the U.S.?
The age-adjusted prevalence of obesity in Utah adults is slightly lower than the U.S. In 2019, the obesity prevalence rate in Utah adults was 29.9%, while the prevalence for U.S. adults was 31.5% (18+).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 29.9% in 2019). There are considerable differences in the prevalence of obesity by subpopulations. Native Hawaiian/Pacific Islander adults and American Indian/Alaskan Native adults had rates much higher 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
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:
- 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
- Activity Limitation
- 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
Health Status Outcomes
More than one-fourth of all adults in Utah were obese in 2019 (29.9%, age-adjusted rate; 29.2%, 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., 1989-2019
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. | Year | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | ||
|---|---|---|---|---|---|---|
Record Count: 64 | ||||||
| UT Old Methodology | 1989 | 10.5% | 8.9% | 12.1% | ||
| UT Old Methodology | 1990 | 9.9% | 8.3% | 11.5% | ||
| UT Old Methodology | 1991 | 11.0% | 9.3% | 12.7% | ||
| UT Old Methodology | 1992 | 12.4% | 10.6% | 14.2% | ||
| UT Old Methodology | 1993 | 12.0% | 10.3% | 13.7% | ||
| UT Old Methodology | 1994 | 12.4% | 10.7% | 14.0% | ||
| UT Old Methodology | 1995 | 13.7% | 12.0% | 15.4% | ||
| UT Old Methodology | 1996 | 13.9% | 12.1% | 15.7% | ||
| UT Old Methodology | 1997 | 15.8% | 14.1% | 17.5% | ||
| UT Old Methodology | 1998 | 16.5% | 14.5% | 18.4% | ||
| UT Old Methodology | 1999 | 16.9% | 15.1% | 18.8% | ||
| UT Old Methodology | 2000 | 19.5% | 17.6% | 21.5% | ||
| UT Old Methodology | 2001 | 19.3% | 17.7% | 21.0% | ||
| 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 | 1989 | 11.3% | 10.9% | 11.7% | ||
| US Old Methodology | 1990 | 11.9% | 11.5% | 12.3% | ||
| US Old Methodology | 1991 | 12.8% | 12.4% | 13.2% | ||
| US Old Methodology | 1992 | 13.5% | 13.2% | 13.9% | ||
| US Old Methodology | 1993 | 14.4% | 14.1% | 14.8% | ||
| US Old Methodology | 1994 | 15.1% | 14.8% | 15.5% | ||
| US Old Methodology | 1995 | 15.9% | 15.5% | 16.3% | ||
| US Old Methodology | 1996 | 16.4% | 16.1% | 16.7% | ||
| US Old Methodology | 1997 | 16.9% | 16.6% | 17.3% | ||
| US Old Methodology | 1998 | 18.4% | 18.1% | 18.8% | ||
| US Old Methodology | 1999 | 19.4% | 19.1% | 19.8% | ||
| US Old Methodology | 2000 | 20.3% | 20.0% | 20.7% | ||
| US Old Methodology | 2001 | 21.6% | 21.3% | 21.9% | ||
| 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 | 25.5% | 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% | ||
| 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% | ||
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. [[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, 2019
Rates shown are crude rates.
| Males vs. Females | Age Group | Crude Percentage of Adults | Lower Limit | Upper Limit | ||
|---|---|---|---|---|---|---|
Record Count: 12 | ||||||
| Male | 18-34 | 22.3% | 19.9% | 25.0% | ||
| Male | 35-49 | 33.1% | 30.2% | 36.2% | ||
| Male | 50-64 | 35.7% | 32.6% | 39.0% | ||
| Male | 65+ | 32.0% | 29.1% | 35.0% | ||
| Female | 18-34 | 22.5% | 19.7% | 25.5% | ||
| Female | 35-49 | 33.9% | 30.8% | 37.1% | ||
| Female | 50-64 | 34.2% | 31.0% | 37.5% | ||
| Female | 65+ | 28.3% | 25.6% | 31.1% | ||
| Total | 18-34 | 22.4% | 20.5% | 24.3% | ||
| Total | 35-49 | 33.5% | 31.3% | 35.7% | ||
| Total | 50-64 | 35.0% | 32.7% | 37.3% | ||
| Total | 65+ | 30.1% | 28.1% | 32.1% | ||
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.Data Source
Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of HealthAdult Obesity by Local Health District, Utah, 2019
Three local health districts have obesity rates of 35% or higher for adults: San Juan, Southeast Utah, and Weber-Morgan Local Health Districts.
| Local Health District | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 14 | ||||||
| Bear River | 31.2% | 27.1% | 35.7% | |||
| Central | 31.2% | 26.4% | 36.4% | |||
| Davis County | 31.7% | 28.6% | 35.1% | |||
| Salt Lake County | 29.1% | 27.2% | 31.0% | |||
| San Juan | 38.3% | 28.6% | 49.0% | |||
| Southeast | 35.0% | 28.5% | 42.0% | |||
| Southwest | 28.5% | 24.7% | 32.7% | |||
| Summit | 22.2% | 15.2% | 31.3% | |||
| Tooele | 32.0% | 26.7% | 37.8% | |||
| TriCounty | 33.9% | 28.9% | 39.2% | |||
| Utah County | 28.2% | 26.0% | 30.6% | |||
| Wasatch | 26.2% | 19.5% | 34.3% | |||
| Weber-Morgan | 35.0% | 31.2% | 38.9% | |||
| State of Utah | 29.9% | 28.8% | 31.0% | |||
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. [[br]] [[br]] Percentages have been age-adjusted to the U.S. 2000 standard population. [[br]]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, 2015-2019
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 (8.1%) of all the Utah Small Areas. San Juan County (Other) had the highest rate of obesity (47.6%). 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 | |||
|---|---|---|---|---|---|---|
Record Count: 100 | ||||||
| Brigham City | 34.5% | 29.3% | 40.1% | |||
| Box Elder Co (Other) V2 | 34.6% | 27.6% | 42.4% | |||
| Tremonton | 31.4% | 25.7% | 37.9% | |||
| Logan V2 | 26.3% | 22.9% | 29.9% | |||
| North Logan | 24.3% | 19.3% | 30.2% | |||
| Cache (Other)/Rich (All) V2 | 27.0% | 22.4% | 32.1% | |||
| Hyrum | 34.7% | 25.6% | 45.0% | |||
| Smithfield | 26.1% | 20.0% | 33.4% | |||
| Ben Lomond | 37.1% | 33.3% | 41.2% | |||
| Weber County (East) | 24.7% | 21.0% | 28.8% | |||
| Morgan County | 25.7% | 17.8% | 35.5% | |||
| Ogden (Downtown) | 33.9% | 29.5% | 38.7% | |||
| South Ogden | 28.1% | 23.8% | 32.9% | |||
| Roy/Hooper | 35.5% | 31.4% | 39.8% | |||
| Riverdale | 31.0% | 26.1% | 36.4% | |||
| Clearfield Area/Hooper | 35.7% | 32.1% | 39.4% | |||
| Layton/South Weber | 27.0% | 24.2% | 30.1% | |||
| Kaysville/Fruit Heights | 23.9% | 19.9% | 28.4% | |||
| Syracuse | 29.0% | 24.1% | 34.3% | |||
| Centerville | 25.5% | 19.7% | 32.3% | |||
| Farmington | 21.9% | 17.3% | 27.1% | |||
| North Salt Lake | 23.9% | 18.1% | 30.8% | |||
| Woods Cross/West Bountiful | 27.0% | 21.0% | 34.0% | |||
| Bountiful | 22.3% | 18.9% | 26.2% | |||
| SLC (Rose Park) | 30.5% | 25.3% | 36.2% | |||
| SLC (Avenues) | 12.9% | 9.3% | 17.6% | |||
| SLC (Foothill/East Bench) | 14.4% | 10.5% | 19.4% | |||
| Magna | 35.3% | 29.7% | 41.2% | |||
| SLC (Glendale) V2 | 38.3% | 31.4% | 45.7% | |||
| West Valley (Center) | 36.3% | 31.8% | 41.1% | |||
| West Valley (West) V2 | 36.3% | 30.3% | 42.7% | |||
| West Valley (East) V2 | 37.1% | 32.1% | 42.3% | |||
| SLC (Downtown) V2 | 16.5% | 13.1% | 20.7% | |||
| SLC (Southeast Liberty) | 16.0% | 11.7% | 21.4% | |||
| South Salt Lake | 30.1% | 24.2% | 36.8% | |||
| SLC (Sugar House) | 22.1% | 18.1% | 26.8% | |||
| Millcreek (South) | 20.9% | 15.9% | 26.9% | |||
| Millcreek (East) | 16.7% | 12.7% | 21.5% | |||
| Holladay V2 | 23.9% | 18.4% | 30.3% | |||
| Cottonwood | 16.1% | 12.9% | 19.9% | |||
| Kearns V2 | 32.9% | 27.8% | 38.4% | |||
| Taylorsville (E)/Murray (W) | 32.1% | 27.6% | 37.0% | |||
| Taylorsville (West) | 30.7% | 26.4% | 35.3% | |||
| Murray | 28.8% | 23.6% | 34.6% | |||
| Midvale | 31.0% | 25.8% | 36.8% | |||
| West Jordan (Northeast) V2 | 28.1% | 23.4% | 33.4% | |||
| West Jordan (Southeast) | 31.5% | 26.9% | 36.5% | |||
| West Jordan (W)/Copperton | 28.9% | 24.5% | 33.7% | |||
| South Jordan V2 | 22.4% | 18.7% | 26.5% | |||
| Daybreak | 21.9% | 16.8% | 28.0% | |||
| Sandy (West) | 23.6% | 19.1% | 28.9% | |||
| Sandy (Center) V2 | 27.8% | 22.8% | 33.4% | |||
| Sandy (Northeast) | 17.2% | 13.2% | 22.2% | |||
| Sandy (Southeast) | 18.0% | 13.6% | 23.3% | |||
| Draper | 19.6% | 15.4% | 24.5% | |||
| Riverton/Bluffdale | 28.9% | 24.6% | 33.6% | |||
| Herriman | 26.7% | 22.4% | 31.5% | |||
| Tooele County (Other) | 31.1% | 25.8% | 37.0% | |||
| Tooele Valley | 35.5% | 32.4% | 38.9% | |||
| Eagle Mountain/Cedar Valley | 37.2% | 30.8% | 44.2% | |||
| Lehi | 24.4% | 21.0% | 28.2% | |||
| Saratoga Springs | 31.2% | 25.3% | 37.9% | |||
| American Fork | 24.1% | 20.7% | 28.0% | |||
| Alpine | 16.4% | 11.3% | 23.1% | |||
| Pleasant Grove/Lindon | 25.6% | 22.2% | 29.2% | |||
| Orem (North) | 29.6% | 25.2% | 34.5% | |||
| Orem (West) | 30.3% | 25.7% | 35.4% | |||
| Orem (East) | 23.4% | 18.5% | 29.2% | |||
| Provo/BYU | 21.5% | 17.6% | 26.1% | |||
| Provo (West City Center) | 34.8% | 29.5% | 40.6% | |||
| Provo (East City Center) | 24.7% | 18.1% | 32.7% | |||
| Salem City | 26.5% | 19.6% | 34.7% | |||
| Spanish Fork | 28.5% | 24.4% | 33.1% | |||
| Springville | 27.1% | 22.8% | 31.9% | |||
| Mapleton | 21.8% | 15.9% | 29.0% | |||
| Utah County (South) V2 | 31.4% | 24.6% | 39.0% | |||
| Payson | 29.8% | 24.8% | 35.4% | |||
| Park City | 8.1% | 4.9% | 13.3% | |||
| Summit County (East) | 21.1% | 17.0% | 25.8% | |||
| Wasatch County | 21.7% | 18.5% | 25.3% | |||
| Daggett and Uintah County | 36.2% | 33.1% | 39.3% | |||
| Duchesne County | 27.8% | 24.6% | 31.4% | |||
| Nephi/Mona | 25.7% | 20.2% | 32.1% | |||
| Delta/Fillmore | 30.4% | 24.4% | 37.2% | |||
| Sanpete Valley | 27.8% | 23.6% | 32.3% | |||
| Central (Other) | 30.3% | 26.4% | 34.5% | |||
| Richfield/Monroe/Salina | 29.1% | 24.2% | 34.4% | |||
| Carbon County | 31.1% | 26.8% | 35.8% | |||
| Emery County | 34.3% | 28.8% | 40.3% | |||
| Grand County | 21.2% | 15.7% | 28.1% | |||
| Blanding/Monticello | 35.7% | 29.8% | 42.1% | |||
| San Juan County (Other) | 47.6% | 37.0% | 58.4% | |||
| St. George | 24.7% | 21.8% | 27.8% | |||
| Washington Co (Other) V2 | 22.1% | 16.5% | 29.1% | |||
| Washington City | 27.1% | 21.7% | 33.3% | |||
| Hurricane/La Verkin | 27.3% | 21.3% | 34.1% | |||
| Ivins/Santa Clara | 23.3% | 16.1% | 32.4% | |||
| Cedar City | 28.3% | 24.3% | 32.6% | |||
| Southwest LHD (Other) | 23.1% | 18.8% | 27.9% | |||
| State of Utah | 27.2% | 26.7% | 27.7% | |||
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. [[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 HealthAdult Obesity by Ethnicity, Utah, 2019
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 | 34.5% | 30.5% | 38.6% | |||
| Non-Hispanic | 29.5% | 28.4% | 30.6% | |||
| All Utahns | 29.9% | 28.8% | 31.0% | |||
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. [[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 HealthAdult Obesity by Race, Utah, 2018-2019
The highest rate of obesity was seen for Pacific Islander adults (49.4%) lowest rate was reported for Asian adults (15.1%).
| Race | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 7 | ||||||
| American Indian/Native Alaskan | 37.3% | 31.0% | 44.0% | |||
| Asian | 15.1% | 10.0% | 22.2% | |||
| Black | 38.4% | 30.2% | 47.3% | |||
| Pacific Islander | 49.4% | 38.5% | 60.3% | |||
| White | 28.5% | 27.7% | 29.3% | |||
| Two or More Races | 32.6% | 29.0% | 36.4% | |||
| All Races | 29.0% | 28.3% | 29.8% | |||
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. [[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 HealthAdult Obesity by Education (Ages 25+), Utah, 2019
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 | 33.9% | 28.5% | 39.6% | |||
| H.S. Grad or G.E.D. | 33.8% | 31.3% | 36.3% | |||
| Some Post High School | 34.6% | 32.6% | 36.6% | |||
| College Graduate | 27.3% | 25.8% | 28.9% | |||
| Total | 31.9% | 30.8% | 33.1% | |||
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. [[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 HealthAdult Obesity by Income, Utah, 2019
The highest rate of obesity is seen for adults in households with less than $25,000 annual incomes.
| Income Category | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 5 | ||||||
| <$25,000 | 36.9% | 33.5% | 40.5% | |||
| $25,000-$49,999 | 32.9% | 30.2% | 35.8% | |||
| $50,000-$74,999 | 31.5% | 28.8% | 34.3% | |||
| $75,000+ | 26.8% | 25.2% | 28.4% | |||
| Total | 29.9% | 28.8% | 31.0% | |||
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. [[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 HealthAdult Obesity by Disability, Utah, 2018-2019
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 Type | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 7 | ||||||
| Cognitive Disability | 34.8% | 32.3% | 37.4% | |||
| Mobility Disability | 46.2% | 42.2% | 50.1% | |||
| Self-care Disability | 47.0% | 41.0% | 53.2% | |||
| Independent Living Disability | 40.3% | 36.5% | 44.1% | |||
| Difficulty Seeing/Blind | 30.3% | 25.4% | 35.8% | |||
| Difficulty Hearing/Deaf | 36.6% | 31.7% | 41.7% | |||
| No Disability | 26.6% | 25.8% | 27.5% | |||
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. Rates are age-adjusted.Data Source
Utah Data: Behavioral Risk Factor Surveillance System, Office of Public Health Assessment, Utah Department of HealthReferences 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:
- 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 11/03/2020,
Published on 01/04/2021
