Complete PHOM Indicator Profile Report of Overweight or obese
Definition
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a BMI of 30 or more. BMI is calculated by dividing weight in kilograms by the square of height in meters.^1^[[br]] [[br]] ---- 1. CDC [https://www.cdc.gov/nccdphp/dnpao/data-trends-maps/help/npao_dtm/definitions.html Defining Adult Overweight and Obesity]Numerator
The number of respondents age 18 years and older who have a body mass index (BMI) greater than or equal to 25.0 kg/m^2^ calculated from self-reported weight and height.Denominator
The number of respondents age 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
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.utah.gov/ibisph-view/pdf/opha/resource/brfss/RakingImpact2011.pdf]. Most of the rates shown are age-adjusted. Age-adjusting allows the prevalence of a disease or condition in different populations to be compared as though both populations had the same age distribution.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 Obesity Strategies: What Can Be Done]Other Objectives
The 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 2023, 65.8% of adults (age-adjusted) had a BMI of 25 or greater. There has been a steady increase in those with an overweight classification or obesity in Utah, with a 3.1% percentage point increase from 2018 (63.4%) to 2022. Higher rates of having an overweight classification or obesity are found in Juab (86.8%) and Tooele (72.3%) counties. Summit (50.7%) and Wasatch (50.9%) counties have the lowest rates of adults with an overweight classification or obesity (2023 age-adjusted rates).How Do We Compare With the U.S.?
In 2022, 33.3% of adults had obesity and 34.1% had an overweight classification nationally.^1^ 66.5% of adults (age-adjusted) had a BMI of 25 or greater in Utah, with 34.6% having an overweight classification and 32% having obesity.[[br]] [[br]] ---- 1. CDC [https://nccd.cdc.gov/dnpao_dtm/rdPage.aspx?rdReport=DNPAO_DTM.ExploreByLocation&rdRequestForwarding=Form/ National Obesity/Weight Status]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) that 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 and the 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 schools 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. HEAL also tracks height and weight trends in elementary school 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 [https://heal.utah.gov/worksite-wellness]. In communities:[[br]] HEAL receives federal funding to partner with worksites and community-based organizations to increase access to fresh fruits and vegetables in worksite and community settings. HEAL also partners with LHDs to work with cities and/or counties within their jurisdictions to create a built environment that encourages physical activity. In healthcare:[[br]] HEAL 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]] 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 TOP Star program, which aims to improve the nutrition, physical activity, and breastfeeding policies and environments and achieve best practices in childcare centers and homes.[[br]]Available Services
Please see the website for the Healthy Environments Active Living (HEAL) program, located under the Utah Department of Health and Human Services: [https://heal.utah.gov/]More Information
Healthy Environments Active Living Program, Utah Department of Health and Human Services [[br]] [https://heal.utah.gov/] The National Center for Chronic Disease Prevention and Health Promotion provides consumer information at [https://www.cdc.gov/nccdphp/divisions-offices/about-the-division-of-nutrition-physical-activity-and-obesity.html]. National Institutes of Health: Obesity, Nutrition, and Physical Activity [https://www.nhlbi.nih.gov/science/obesity-nutrition-and-physical-activity] The Surgeon General's Call to Action to Prevent and Decrease Overweight & Obesity: [https://pubmed.ncbi.nlm.nih.gov/20669513/] More information on the Behavioral Risk Factor Surveillance System may be found on the website of the Centers for Disease Control and Prevention - [https://www.cdc.gov/brfss/index.html].Health Program Information
Overarching Goals: 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.Graphical Data Views
Overweight or obese by year, Utah and U.S., 2002-2023
| BRFSS Utah vs. U.S. | Year | Age-adjusted percentage of adults | Lower Limit | Upper Limit | ||
|---|---|---|---|---|---|---|
Record Count: 43 | ||||||
| UT Old Methodology | 2002 | 56.6% | 54.6% | 58.6% | ||
| UT Old Methodology | 2003 | 56.7% | 54.7% | 58.7% | ||
| UT Old Methodology | 2004 | 58.6% | 56.9% | 60.2% | ||
| UT Old Methodology | 2005 | 58.5% | 56.8% | 60.1% | ||
| UT Old Methodology | 2006 | 57.5% | 55.8% | 59.2% | ||
| UT Old Methodology | 2007 | 59.7% | 57.9% | 61.5% | ||
| UT Old Methodology | 2008 | 60.3% | 58.6% | 62.0% | ||
| US Old Methodology | 2002 | 58.5% | 58.2% | 58.9% | ||
| US Old Methodology | 2003 | 59.1% | 58.8% | 59.5% | ||
| US Old Methodology | 2004 | 60.1% | 59.7% | 60.4% | ||
| US Old Methodology | 2005 | 61.1% | 60.7% | 61.4% | ||
| US Old Methodology | 2006 | 61.1% | 60.7% | 61.4% | ||
| US Old Methodology | 2007 | 62.1% | 61.8% | 62.5% | ||
| US Old Methodology | 2008 | 62.7% | 62.4% | 63.0% | ||
| US Old Methodology | 2009 | 63.1% | 62.8% | 63.4% | ||
| US Old Methodology | 2010 | 63.0% | 62.7% | 63.3% | ||
| UT New Methodology | 2009 | 60.3% | 59.1% | 61.5% | ||
| UT New Methodology | 2010 | 61.4% | 60.3% | 62.5% | ||
| UT New Methodology | 2011 | 60.6% | 59.5% | 61.7% | ||
| UT New Methodology | 2012 | 59.4% | 58.2% | 60.5% | ||
| UT New Methodology | 2013 | 60.8% | 59.7% | 61.9% | ||
| UT New Methodology | 2014 | 60.9% | 59.9% | 61.8% | ||
| UT New Methodology | 2015 | 61.0% | 59.8% | 62.1% | ||
| UT New Methodology | 2016 | 61.6% | 60.3% | 62.9% | ||
| UT New Methodology | 2017 | 61.9% | 60.7% | 63.1% | ||
| UT New Methodology | 2018 | 63.4% | 62.2% | 64.6% | ||
| UT New Methodology | 2019 | 64.9% | 63.7% | 65.9% | ||
| UT New Methodology | 2020 | 63.8% | 62.7% | 65.0% | ||
| UT New Methodology | 2021 | 65.5% | 64.3% | 66.7% | ||
| UT New Methodology | 2022 | 66.5% | 65.3% | 67.8% | ||
| UT New Methodology | 2023 | 65.8% | 64.6% | 67.0% | ||
| US New Methodology | 2011 | 63.0% | 62.7% | 63.3% | ||
| US New Methodology | 2012 | 63.3% | 63.0% | 63.6% | ||
| US New Methodology | 2013 | 63.7% | 63.4% | 64.0% | ||
| US New Methodology | 2014 | 64.0% | 63.7% | 64.3% | ||
| US New Methodology | 2015 | 64.4% | 64.1% | 64.7% | ||
| US New Methodology | 2016 | 64.6% | 64.3% | 64.9% | ||
| US New Methodology | 2017 | 65.2% | 64.9% | 65.5% | ||
| US New Methodology | 2018 | 65.9% | 65.5% | 66.2% | ||
| US New Methodology | 2019 | 66.5% | 66.2% | 66.8% | ||
| US New Methodology | 2020 | 66.6% | 66.2% | 67.0% | ||
| US New Methodology | 2021 | 67.4% | 67.0% | 67.7% | ||
| US New Methodology | 2022 | 67.4% | 66.8% | 68.0% | ||
Data Notes
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a 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]]The U.S./Utah graphs includes estimates using old and new methodologies. In 2011, the BRFSS changed its methodology from a landline only sample and weighting based on post-stratification to a landline/cell phone sample and raking as the weighting methodology. Raking accounts for variables such as income, education, marital status, and home ownership during weighting and has the potential to more accurately reflect the population distribution. [[br]] [[br]] 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]]Age-adjusted to U.S. 2000 standard population.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).
Overweight or obese by age and sex, Utah, 2023
Males have higher rates of overweight/obesity across every age group.
| Males vs. Females | Age group | Percentage of adults | Lower Limit | Upper Limit | ||
|---|---|---|---|---|---|---|
Record Count: 12 | ||||||
| Male | 18-34 | 58.2% | 54.9% | 61.5% | ||
| Male | 35-49 | 78.5% | 75.6% | 81.1% | ||
| Male | 50-64 | 80.7% | 77.7% | 83.4% | ||
| Male | 65+ | 72.0% | 68.8% | 74.9% | ||
| Female | 18-34 | 48.2% | 44.2% | 52.1% | ||
| Female | 35-49 | 63.3% | 59.9% | 66.6% | ||
| Female | 50-64 | 66.3% | 62.4% | 69.9% | ||
| Female | 65+ | 62.1% | 58.7% | 65.4% | ||
| Total | 18-34 | 53.5% | 50.9% | 56.1% | ||
| Total | 35-49 | 71.1% | 68.9% | 73.3% | ||
| Total | 50-64 | 73.8% | 71.3% | 76.1% | ||
| Total | 65+ | 66.9% | 64.6% | 69.2% | ||
Data Notes
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a 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]] This graph uses crude rates, i.e., these values are not adjusted for age.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]Overweight or obese by ethnicity, Utah, 2023
Hispanic adults have higher rates of overweight or obesity than non-Hispanics adults.
| Hispanic ethnicity | Age-adjusted percentage of adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 3 | ||||||
| Hispanic/Latino | 75.7% | 72.5% | 78.5% | |||
| Non-Hispanic/Latino | 64.1% | 62.8% | 65.4% | |||
| All ethnicities | 65.8% | 64.6% | 67.0% | |||
Data Notes
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a 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]Overweight or obese by local health district, Utah, 2023
Among local health districts, Summit County and Wasatch County have the lowest rates of overweight/obesity among adults. TriCounty and Tooele County local health districts have higher rates among adults.
| Local health district | Age-adjusted percentage of adults aged 18+ | Lower Limit | Upper Limit | Note | ||
|---|---|---|---|---|---|---|
Record Count: 14 | ||||||
| Bear River | 66.5% | 61.3% | 71.3% | |||
| Central | 68.4% | 61.9% | 74.2% | |||
| Davis County | 69.6% | 65.5% | 73.4% | |||
| Salt Lake County | 64.4% | 62.1% | 66.6% | |||
| San Juan | 67.5% | 57.3% | 76.3% | |||
| Southeast | 65.1% | 58.4% | 71.3% | |||
| Southwest | 68.0% | 63.8% | 72.0% | |||
| Summit | 50.7% | 41.6% | 59.8% | Lower than the state | ||
| Tooele | 72.3% | 66.5% | 77.4% | Higher than the state | ||
| TriCounty | 73.8% | 67.5% | 79.2% | Higher than the state | ||
| Utah County | 66.2% | 63.6% | 68.8% | |||
| Wasatch | 50.9% | 42.4% | 59.3% | Lower than the state | ||
| Weber-Morgan | 68.4% | 64.5% | 72.0% | |||
| State of Utah | 65.8% | 64.6% | 67.0% | |||
Data Notes
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a 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.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]Overweight or obese by race, Utah, 2023
Please note that in 2023 the question for race changed. These categories represent respondents reporting a single race alone. If multiple races were given, responses are in the "Two or more races" category.
| Race | Age-adjusted percentage of adults | Lower Limit | Upper Limit | Note | ||
|---|---|---|---|---|---|---|
Record Count: 8 | ||||||
| American Indian/Alaska Native | 73.0% | 62.1% | 81.6% | |||
| Asian | 45.8% | 35.6% | 56.4% | |||
| Black, African American | 61.6% | 48.8% | 73.0% | |||
| Native Hawaiian, Pacific Islander | 92.6% | 85.3% | 96.5% | * | ||
| White | 64.6% | 63.3% | 65.9% | |||
| Other | 75.8% | 65.3% | 83.8% | |||
| Two or more races | 62.6% | 51.7% | 72.3% | |||
| All races | 65.4% | 64.2% | 66.6% | |||
Data Notes
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a 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]]Please note that in 2023 the question for race changed. These categories represent respondents reporting a single race alone. If multiple races were given, responses are in the "Two or more races" category. *Use caution in interpreting; the estimate has a coefficient of variation > 30% and is therefore deemed unreliable by Utah Department of Health and Human Services standards. 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]Overweight or obese by sex and year, Utah, 1989-2023
Males have consistently higher rates over time of overweight/obesity than females. Rates are age-adjusted.
| Males vs. Females (BRFSS Old vs. New Methodology) | Year | Age-adjusted percentage of adults | Lower Limit | Upper Limit | ||
|---|---|---|---|---|---|---|
Record Count: 74 | ||||||
| Males (Old Methodology) | 1989 | 47.7% | 43.9% | 51.5% | ||
| Males (Old Methodology) | 1990 | 52.8% | 49.1% | 56.4% | ||
| Males (Old Methodology) | 1991 | 50.7% | 47.0% | 54.4% | ||
| Males (Old Methodology) | 1992 | 55.9% | 52.0% | 59.7% | ||
| Males (Old Methodology) | 1993 | 55.8% | 52.1% | 59.6% | ||
| Males (Old Methodology) | 1994 | 53.5% | 49.8% | 57.2% | ||
| Males (Old Methodology) | 1995 | 57.5% | 54.0% | 60.9% | ||
| Males (Old Methodology) | 1996 | 57.7% | 54.4% | 60.9% | ||
| Males (Old Methodology) | 1997 | 61.2% | 58.0% | 64.5% | ||
| Males (Old Methodology) | 1998 | 57.6% | 53.9% | 61.2% | ||
| Males (Old Methodology) | 1999 | 60.1% | 56.6% | 63.5% | ||
| Males (Old Methodology) | 2000 | 62.5% | 59.2% | 65.7% | ||
| Males (Old Methodology) | 2001 | 61.9% | 59.0% | 64.9% | ||
| Males (Old Methodology) | 2002 | 66.7% | 64.0% | 69.5% | ||
| Males (Old Methodology) | 2003 | 65.4% | 62.5% | 68.3% | ||
| Males (Old Methodology) | 2004 | 67.0% | 64.8% | 69.3% | ||
| Males (Old Methodology) | 2005 | 65.9% | 63.4% | 68.2% | ||
| Males (Old Methodology) | 2006 | 65.8% | 63.4% | 68.2% | ||
| Males (Old Methodology) | 2007 | 68.0% | 65.4% | 70.5% | ||
| Males (Old Methodology) | 2008 | 67.5% | 65.2% | 69.7% | ||
| Males (Old Methodology) | 2009 | 67.0% | 65.2% | 68.8% | ||
| Males (Old Methodology) | 2010 | 68.7% | 66.8% | 70.4% | ||
| Females (Old Methodology) | 1989 | 31.6% | 28.4% | 34.7% | ||
| Females (Old Methodology) | 1990 | 35.4% | 32.2% | 38.7% | ||
| Females (Old Methodology) | 1991 | 36.1% | 32.8% | 39.4% | ||
| Females (Old Methodology) | 1992 | 37.5% | 34.2% | 40.8% | ||
| Females (Old Methodology) | 1993 | 37.3% | 33.9% | 40.7% | ||
| Females (Old Methodology) | 1994 | 41.4% | 38.0% | 44.8% | ||
| Females (Old Methodology) | 1995 | 43.2% | 40.2% | 46.2% | ||
| Females (Old Methodology) | 1996 | 39.7% | 36.6% | 42.7% | ||
| Females (Old Methodology) | 1997 | 37.8% | 34.7% | 41.0% | ||
| Females (Old Methodology) | 1998 | 42.9% | 39.7% | 46.1% | ||
| Females (Old Methodology) | 1999 | 44.1% | 40.9% | 47.2% | ||
| Females (Old Methodology) | 2000 | 46.9% | 43.7% | 50.1% | ||
| Females (Old Methodology) | 2001 | 48.6% | 45.7% | 51.4% | ||
| Females (Old Methodology) | 2002 | 45.4% | 42.8% | 48.1% | ||
| Females (Old Methodology) | 2003 | 47.3% | 44.6% | 50.0% | ||
| Females (Old Methodology) | 2004 | 49.5% | 47.2% | 51.9% | ||
| Females (Old Methodology) | 2005 | 50.0% | 47.9% | 52.2% | ||
| Females (Old Methodology) | 2006 | 48.4% | 46.2% | 50.7% | ||
| Females (Old Methodology) | 2007 | 50.8% | 48.4% | 53.1% | ||
| Females (Old Methodology) | 2008 | 52.4% | 50.0% | 54.8% | ||
| Females (Old Methodology) | 2009 | 51.5% | 49.7% | 53.3% | ||
| Females (Old Methodology) | 2010 | 50.1% | 48.4% | 51.8% | ||
| Males (New Methodology) | 2009 | 67.9% | 66.2% | 69.6% | ||
| Males (New Methodology) | 2010 | 69.7% | 68.2% | 71.1% | ||
| Males (New Methodology) | 2011 | 68.8% | 67.3% | 70.4% | ||
| Males (New Methodology) | 2012 | 67.0% | 65.4% | 68.5% | ||
| Males (New Methodology) | 2013 | 68.2% | 66.7% | 69.6% | ||
| Males (New Methodology) | 2014 | 67.7% | 66.4% | 68.9% | ||
| Males (New Methodology) | 2015 | 68.9% | 67.4% | 70.4% | ||
| Males (New Methodology) | 2016 | 68.9% | 67.2% | 70.6% | ||
| Males (New Methodology) | 2017 | 69.3% | 67.7% | 70.9% | ||
| Males (New Methodology) | 2018 | 70.6% | 69.1% | 72.1% | ||
| Males (New Methodology) | 2019 | 71.2% | 69.7% | 72.6% | ||
| Males (New Methodology) | 2020 | 68.9% | 67.4% | 70.4% | ||
| Males (New Methodology) | 2021 | 70.0% | 68.4% | 71.5% | ||
| Males (New Methodology) | 2022 | 72.2% | 70.7% | 73.8% | ||
| Males (New Methodology) | 2023 | 71.9% | 70.3% | 73.4% | ||
| Females (New Methodology) | 2009 | 52.2% | 50.6% | 53.9% | ||
| Females (New Methodology) | 2010 | 52.6% | 51.1% | 54.1% | ||
| Females (New Methodology) | 2011 | 51.6% | 50.1% | 53.2% | ||
| Females (New Methodology) | 2012 | 51.3% | 49.7% | 52.8% | ||
| Females (New Methodology) | 2013 | 53.0% | 51.4% | 54.5% | ||
| Females (New Methodology) | 2014 | 53.6% | 52.2% | 55.0% | ||
| Females (New Methodology) | 2015 | 52.5% | 50.8% | 54.1% | ||
| Females (New Methodology) | 2016 | 53.6% | 51.7% | 55.5% | ||
| Females (New Methodology) | 2017 | 53.8% | 52.0% | 55.6% | ||
| Females (New Methodology) | 2018 | 55.6% | 53.8% | 57.3% | ||
| Females (New Methodology) | 2019 | 58.1% | 56.4% | 59.8% | ||
| Females (New Methodology) | 2020 | 58.3% | 56.5% | 60.1% | ||
| Females (New Methodology) | 2021 | 60.7% | 58.9% | 62.4% | ||
| Females (New Methodology) | 2022 | 60.5% | 58.5% | 62.4% | ||
| Females (New Methodology) | 2023 | 59.3% | 57.4% | 61.2% | ||
Data Notes
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a 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 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]Overweight or obese by education, Utah adults 25+, 2023
This view is for adults aged 25 and older. Utah adults with at least a college degree have the lowest rate of overweight/obesity.
| Education level | Age-adjusted percentage of adults 25+ | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 5 | ||||||
| Less than high school | 76.7% | 71.2% | 81.5% | |||
| H.S. grad or G.E.D. | 71.8% | 69.2% | 74.3% | |||
| Some post high school | 71.7% | 69.3% | 73.9% | |||
| College graduate | 63.9% | 62.0% | 65.8% | |||
| Total | 69.3% | 68.0% | 70.5% | |||
Data Notes
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a 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.This view is for aduls 25 and over.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]Overweight or obese by income, Utah, 2023
There is little variation in the rates of overweight/obesity by income. Higher rates of obesity are seen for adults with incomes incomes between $25,000 and $74,999.
| Income category | Age-adjusted percentage of adults | Lower Limit | Upper Limit | |||
|---|---|---|---|---|---|---|
Record Count: 5 | ||||||
| <$25,000 | 63.6% | 59.0% | 68.0% | |||
| $25,000-$49,999 | 68.6% | 65.4% | 71.6% | |||
| $50,000-$74,999 | 68.8% | 65.4% | 72.0% | |||
| $75,000+ | 65.3% | 63.4% | 67.1% | |||
| Total | 65.8% | 64.6% | 67.0% | |||
Data Notes
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a 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]Overweight or obese by Utah Small Area, 2021-2023
For the combined years 2021-2023, Park City (42.6%) had the lowest rate of overweight/obesity. The highest rates were seen for Nephi/Mona (80.3%), Magna (79.6%), San Juan (Other) (79.2%), Payson (78.8%), and Wood Cross/West Bountiful (78.7%).
| Utah Small Areas | Age-adjusted percentage of adults | Lower Limit | Upper Limit | Note | ||
|---|---|---|---|---|---|---|
Record Count: 100 | ||||||
| Brigham City | 73.3% | 65.2% | 80.1% | |||
| Box Elder Co (Other) V2 | 74.0% | 64.1% | 81.9% | |||
| Tremonton | 64.2% | 54.5% | 72.9% | |||
| Logan V2 | 63.9% | 58.2% | 69.1% | |||
| North Logan | 61.5% | 53.7% | 68.7% | |||
| Cache (Other)/Rich (All) V2 | 65.8% | 56.8% | 73.8% | |||
| Hyrum | 73.1% | 61.9% | 82.0% | |||
| Smithfield | 69.6% | 61.6% | 76.7% | |||
| Ben Lomond | 71.6% | 66.7% | 76.1% | Higher than the state | ||
| Weber County (East) | 61.4% | 54.7% | 67.7% | |||
| Morgan County | 66.3% | 57.0% | 74.4% | |||
| Ogden (Downtown) | 66.7% | 60.6% | 72.3% | |||
| South Ogden | 66.8% | 61.0% | 72.2% | |||
| Roy/Hooper | 73.6% | 68.0% | 78.6% | Higher than the state | ||
| Riverdale | 73.5% | 67.3% | 78.9% | Higher than the state | ||
| Clearfield Area/Hooper | 73.3% | 68.0% | 78.0% | Higher than the state | ||
| Layton/South Weber | 69.4% | 64.3% | 74.1% | |||
| Kaysville/Fruit Heights | 61.3% | 53.6% | 68.5% | |||
| Syracuse | 72.1% | 64.3% | 78.7% | |||
| Centerville | 72.5% | 61.4% | 81.3% | |||
| Farmington | 62.5% | 52.8% | 71.2% | |||
| North Salt Lake | 65.3% | 54.2% | 75.0% | |||
| Woods Cross/West Bountiful | 78.7% | 65.9% | 87.6% | |||
| Bountiful | 62.8% | 56.2% | 69.0% | |||
| SLC (Rose Park) | 65.1% | 57.1% | 72.4% | |||
| SLC (Avenues) | 43.5% | 35.0% | 52.5% | Lower than the state | ||
| SLC (Foothill/East Bench) | 47.2% | 37.9% | 56.7% | Lower than the state | ||
| Magna | 79.6% | 72.9% | 85.0% | Higher than the state | ||
| SLC (Glendale) V2 | 75.4% | 64.2% | 83.9% | |||
| West Valley (Center) | 76.6% | 69.8% | 82.2% | Higher than the state | ||
| West Valley (West) V2 | 78.1% | 70.5% | 84.2% | Higher than the state | ||
| West Valley (East) V2 | 72.2% | 65.6% | 77.9% | |||
| SLC (Downtown) V2 | 56.4% | 50.1% | 62.4% | Lower than the state | ||
| SLC (Southeast Liberty) | 52.6% | 42.6% | 62.4% | Lower than the state | ||
| South Salt Lake | 59.4% | 50.9% | 67.3% | |||
| SLC (Sugar House) | 59.5% | 52.3% | 66.4% | |||
| Millcreek (South) | 53.6% | 44.3% | 62.7% | Lower than the state | ||
| Millcreek (East) | 48.8% | 41.0% | 56.7% | Lower than the state | ||
| Holladay V2 | 57.5% | 48.0% | 66.4% | |||
| Cottonwood | 52.7% | 45.2% | 60.0% | Lower than the state | ||
| Kearns V2 | 74.7% | 67.2% | 80.9% | Higher than the state | ||
| Taylorsville (E)/Murray (W) | 70.3% | 63.9% | 75.9% | |||
| Taylorsville (West) | 77.4% | 71.4% | 82.5% | Higher than the state | ||
| Murray | 60.8% | 53.3% | 67.7% | |||
| Midvale | 70.4% | 63.0% | 76.8% | |||
| West Jordan (Northeast) V2 | 65.5% | 57.5% | 72.6% | |||
| West Jordan (Southeast) | 74.8% | 67.6% | 80.8% | Higher than the state | ||
| West Jordan (W)/Copperton | 68.5% | 61.8% | 74.4% | |||
| South Jordan V2 | 65.6% | 58.5% | 72.1% | |||
| Daybreak | 65.7% | 58.3% | 72.4% | |||
| Sandy (West) | 70.0% | 61.2% | 77.5% | |||
| Sandy (Center) V2 | 66.0% | 57.3% | 73.7% | |||
| Sandy (Northeast) | 58.6% | 49.6% | 67.0% | |||
| Sandy (Southeast) | 52.9% | 43.8% | 61.8% | Lower than the state | ||
| Draper | 57.7% | 49.9% | 65.0% | Lower than the state | ||
| Riverton/Bluffdale | 72.3% | 66.5% | 77.4% | Higher than the state | ||
| Herriman | 69.9% | 64.2% | 75.1% | |||
| Tooele County (Other) | 67.5% | 59.3% | 74.7% | |||
| Tooele Valley | 70.8% | 66.8% | 74.5% | Higher than the state | ||
| Eagle Mountain/Cedar Valley | 67.7% | 60.4% | 74.2% | |||
| Lehi | 63.1% | 58.3% | 67.6% | |||
| Saratoga Springs | 66.5% | 59.1% | 73.1% | |||
| American Fork | 65.3% | 59.7% | 70.5% | |||
| Alpine | 51.5% | 37.7% | 65.0% | Lower than the state | ||
| Pleasant Grove/Lindon | 63.9% | 58.8% | 68.7% | |||
| Orem (North) | 67.7% | 61.1% | 73.6% | |||
| Orem (West) | 64.6% | 58.8% | 70.0% | |||
| Orem (East) | 61.2% | 53.3% | 68.5% | |||
| Provo/BYU | 62.5% | 55.9% | 68.6% | |||
| Provo (West City Center) | 69.1% | 62.3% | 75.2% | |||
| Provo (East City Center) | 63.6% | 54.8% | 71.6% | |||
| Salem City | 61.9% | 49.1% | 73.3% | |||
| Spanish Fork | 72.7% | 66.7% | 78.0% | Higher than the state | ||
| Springville | 67.0% | 60.7% | 72.8% | |||
| Mapleton | 65.2% | 51.6% | 76.6% | |||
| Utah County (South) V2 | 72.6% | 63.5% | 80.2% | |||
| Payson | 78.8% | 72.4% | 84.0% | Higher than the state | ||
| Park City | 42.6% | 35.9% | 49.6% | Lower than the state | ||
| Summit County (East) | 58.8% | 50.2% | 66.9% | |||
| Wasatch County | 54.8% | 49.0% | 60.4% | Lower than the state | ||
| Daggett and Uintah County | 70.7% | 66.2% | 74.8% | Higher than the state | ||
| Duchesne County | 67.8% | 60.8% | 74.1% | |||
| Nephi/Mona | 80.3% | 68.0% | 88.6% | Higher than the state | ||
| Delta/Fillmore | 69.6% | 58.7% | 78.7% | |||
| Sanpete Valley | 69.3% | 61.3% | 76.4% | |||
| Central (Other) | 63.4% | 57.2% | 69.2% | |||
| Richfield/Monroe/Salina | 67.6% | 60.1% | 74.2% | |||
| Carbon County | 65.1% | 58.7% | 70.9% | |||
| Emery County | 73.0% | 63.9% | 80.5% | |||
| Grand County | 59.1% | 48.8% | 68.6% | |||
| Blanding/Monticello | 69.8% | 61.1% | 77.3% | |||
| San Juan County (Other) | 79.2% | 69.1% | 86.7% | Higher than the state | ||
| St. George | 67.3% | 62.9% | 71.5% | |||
| Washington Co (Other) V2 | 69.2% | 58.6% | 78.1% | |||
| Washington City | 72.6% | 64.7% | 79.3% | |||
| Hurricane/La Verkin | 64.2% | 56.2% | 71.5% | |||
| Ivins/Santa Clara | 72.6% | 60.8% | 81.9% | |||
| Cedar City | 66.4% | 59.9% | 72.3% | |||
| Southwest LHD (Other) | 66.8% | 57.5% | 75.0% | |||
| State of Utah | 66.0% | 65.3% | 66.7% | |||
Data Notes
Overweight is defined as having a body mass index (BMI) that is between 25.0 to <30. Obesity is defined as a 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]] A description of the Utah Small Areas 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]
Page Content Updated On 10/18/2024,
Published on 10/22/2024