Complete Health Indicator Report of Daily Fruit Consumption
Definition
The percentage of adults who reported consuming fruit two or more times a day.Numerator
The number of survey respondents who reported consuming fruit two or more times a day.Denominator
The total number of survey respondents.Data Interpretation Issues
To reduce bias and more accurately represent population data, the BRFSS changed survey methodology in 2010 and 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/ Raking Fact Sheet 2011].Why Is This Important?
Fruits, as well as vegetables, contain essential vitamins, minerals, fiber, and other compounds that may help prevent many chronic diseases. Compared with people who consume a diet with only small amounts of fruits and vegetables, those who eat more generous amounts as part of a healthful diet are likely to have reduced risk of chronic diseases, including stroke and perhaps other cardiovascular diseases, and certain cancers^1^. Fruits and vegetables also help people to achieve and maintain a healthy weight because they are relatively low in energy density^2^. To promote health and prevent chronic diseases, the 2020-2025 Dietary Guidelines for Americans recommend two cups of fruit per day for a standard 2,000 calorie diet, with recommendations based on an individual's age, gender, and activity level^3^. [[br]][[br]] ---- 1. CDC. ''Can eating fruits and vegetables help people to manage their weight?'' [http://www.cdc.gov/nccdphp/dnpa/nutrition/pdf/rtp_practitioner_10_07.pdf/ (Research to Practice Series No. 1)] [[br]] 2. CDC. [https://www.cdc.gov/nccdphp/dnpa/nutrition/pdf/r2p_energy_density.pdf/ "Low-Energy-Dense Foods and Weight Management: Cutting Calories While Controlling Hunger." ] [[br]] 3. U.S. Department of Agriculture and U.S. Department of Health and Human Services. Dietary Guidelines for Americans, 2020-2025. 9th Edition. December 2020. Available at DietaryGuidelines.gov.Healthy People Objective NWS-14:
Increase the contribution of fruits to the diets of the population aged 2 years and olderU.S. Target: 0.90 cup equivalent per 1,000 calories
Other Objectives
Increase the proportion of persons aged 18 years and older who consume fruit two or more times per day. [[br]] '''Utah Target:''' 34%How Are We Doing?
Please note that the fruit consumption questions were changed in 2011 and results cannot be compared with years prior to 2011. In 2021, about one of three (32.2%) Utah adults reported eating fruit two or more times per dayHow Do We Compare With the U.S.?
In 2021, 32.2% of Utah adults reported eating fruit two or more times per day, which is greater than than the U.S. rate of 28.6% (age-adjusted rates).What Is Being Done?
The Utah Department of Health and Human Service's 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.health.utah.gov/worksite-wellness/ 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. HEAlL 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
Visit [http://heal.health.utah.gov/ HEAL website] for more information. The [http://www.choosemyplate.gov/ USDA My Plate] food guidance system provides consumer tools in English and Spanish to meet the Dietary Guidelines for Americans, including individualized plans, tools to track intake, and plans for early childhood, pregnancy, and lactation. The [https://www.uspm.com/fruits-and-veggies-more-matters/ Fruits and Veggies: More Matters] and [http://www.pbhfoundation.org/ Produce for Better Health] websites include educational brochures, recipes, and consumer tips for selecting, storing, and preparing vegetables.Health Program Information
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
Overall, more women than men reported eating fruit two or more times daily. Fruit consumption increases with age, education, and income. Some regional differences were also seen.Related Relevant Population Characteristics Indicators:
Risk Factors
There is some evidence that people who form the habit of eating fruits and vegetables early in life are likely to maintain the behavior as adults.[[br]] [[br]]Related Risk Factors Indicators:
Health Status Outcomes
People who eat few fruits and vegetables are at higher risk for developing several types of cancer, heart disease, stroke, and other chronic diseases.Related Health Status Outcomes Indicators:
Graphical Data Views
Due to changes in both sampling and the fruit consumption question format, 2011 data should not be compared to previous years. In 2012, Utah added the question on fruit consumption. This question was not available in the U.S. data set for 2012, thus, there is no value for U.S. in 2012.
BRFSS Utah vs. U.S. | Year | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | ||
---|---|---|---|---|---|---|
Record Count: 13 | ||||||
UT New Methodology | 2011 | 33.9% | 32.8% | 34.9% | ||
UT New Methodology | 2012 | 25.0% | 23.0% | 27.1% | ||
UT New Methodology | 2013 | 34.2% | 33.2% | 35.3% | ||
UT New Methodology | 2015 | 29.8% | 28.8% | 30.9% | ||
UT New Methodology | 2017 | 34.7% | 33.5% | 35.9% | ||
UT New Methodology | 2019 | 30.6% | 29.6% | 31.7% | ||
UT New Methodology | 2021 | 32.2% | 29.7% | 34.9% | ||
US New Methodology | 2011 | 30.8% | 30.6% | 31.1% | ||
US New Methodology | 2013 | 30.1% | 29.8% | 30.4% | ||
US New Methodology | 2015 | 28.8% | 28.5% | 29.1% | ||
US New Methodology | 2017 | 33.2% | 32.9% | 33.5% | ||
US New Methodology | 2019 | 30.1% | 29.8% | 30.5% | ||
US New Methodology | 2021 | 28.6% | 28.2% | 28.9% |
Data Notes
U.S. data do not include U.S. territories, but do include District of Columbia. Age-adjusted to U.S. 2000 standard population.Data Sources
- The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)
- Behavioral Risk Factor Surveillance System Survey Data, US Department of Health and Human Services Centers for Disease Control and Prevention (CDC).
Four years of data were combined to produce reliable estimates.
Race/Ethnicity group data | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | |||
---|---|---|---|---|---|---|
Record Count: 7 | ||||||
American Indian/Alaskan Native | 40.0% | 29.4% | 51.5% | |||
Asian | 28.7% | 19.6% | 39.8% | |||
Black/African American | 15.2% | 8.2% | 26.5% | |||
Native Hawaiian/Pacific Islander | 31.3% | 19.0% | 46.9% | |||
White | 35.7% | 34.4% | 37.0% | |||
Other | 37.8% | 32.4% | 43.6% | |||
All Races/Ethnicities | 35.5% | 34.2% | 36.7% |
Data Notes
Age-adjusted to U.S. 2000 standard population based on 3 age groups: 18-34, 35-49, and 50+..Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)There is little difference in the rates of fruit consumption by ethnicity.
Hispanic Ethnicity | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | |||
---|---|---|---|---|---|---|
Record Count: 3 | ||||||
Hispanic/Latino | 33.3% | 27.2% | 40.0% | |||
Non-Hispanic/Latino | 32.0% | 29.3% | 35.0% | |||
All Ethnicities | 32.2% | 29.7% | 34.9% |
Data Notes
Age-adjusted to U.S. 2000 standard population.Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)Rates shown are crude rates. Females have higher rates of consuming fruit two or more times a day compared to males across every age group. The overall crude rate for consuming fruit 2 or more times a day in 2021 was 29.0% (not shown in the table).
Males vs. Females | Age Group | Percentage of Adults | Lower Limit | Upper Limit | ||
---|---|---|---|---|---|---|
Record Count: 12 | ||||||
Male | 18-34 | 23.0% | 20.2% | 26.0% | ||
Male | 35-49 | 24.7% | 22.0% | 27.7% | ||
Male | 50-64 | 24.6% | 21.7% | 27.7% | ||
Male | 65+ | 31.1% | 27.9% | 34.4% | ||
Female | 18-34 | 29.3% | 26.0% | 32.9% | ||
Female | 35-49 | 34.8% | 31.6% | 38.1% | ||
Female | 50-64 | 32.5% | 29.2% | 36.0% | ||
Female | 65+ | 37.5% | 34.4% | 40.8% | ||
Total | 18-34 | 26.1% | 23.9% | 28.4% | ||
Total | 35-49 | 29.7% | 27.6% | 32.0% | ||
Total | 50-64 | 28.6% | 26.4% | 30.9% | ||
Total | 65+ | 34.5% | 32.2% | 36.8% |
Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)Fruit consumption varies by local health district. The rate for Davis County Health District was statistically significantly higher than the state rate.
Local Health District | Age-adjusted Percentage of Adults 18+ | Lower Limit | Upper Limit | Note | ||
---|---|---|---|---|---|---|
Record Count: 14 | ||||||
Bear River | 36.1% | 29.1% | 43.7% | |||
Central | 29.0% | 21.2% | 38.2% | |||
Davis County | 40.3% | 34.4% | 46.6% | Higher than the state | ||
Salt Lake County | 32.0% | 29.0% | 35.1% | |||
San Juan | 31.6% | 19.4% | 47.1% | |||
Southeast | 41.1% | 29.6% | 53.8% | |||
Southwest | 32.7% | 26.1% | 40.1% | |||
Summit | 42.7% | 28.1% | 58.6% | |||
Tooele | 36.2% | 26.3% | 47.5% | |||
TriCounty | 37.3% | 27.6% | 48.2% | |||
Utah County | 32.7% | 29.2% | 36.4% | |||
Wasatch | 33.5% | 19.2% | 51.7% | |||
Weber-Morgan | 28.7% | 22.9% | 35.3% | |||
State of Utah | 33.0% | 31.2% | 34.8% |
Data Notes
Age-adjusted to U.S. 2000 standard population.Data Sources
- The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)
- Behavioral Risk Factor Surveillance System Survey Data, US Department of Health and Human Services Centers for Disease Control and Prevention (CDC).
Fruit Consumed Two or More Times per Day by Utah Small Area, Adults Age 18+, 2013, 2015, 2017, 2019, 2021
Utah Small Areas | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | Note | ||
---|---|---|---|---|---|---|
Record Count: 100 | ||||||
Brigham City | 34.1% | 22.9% | 47.4% | |||
Box Elder Co (Other) V2 | 52.7% | 34.8% | 70.0% | |||
Tremonton | 28.8% | 17.6% | 43.4% | |||
Logan V2 | 37.9% | 30.6% | 45.9% | |||
North Logan | 33.1% | 22.7% | 45.3% | |||
Cache (Other)/Rich (All) V2 | 39.5% | 29.4% | 50.6% | |||
Hyrum | 27.0% | 15.2% | 43.3% | Interpret with caution | ||
Smithfield | 34.7% | 21.1% | 51.3% | |||
Ben Lomond | 30.8% | 23.6% | 39.0% | |||
Weber County (East) | 34.1% | 24.7% | 44.9% | |||
Morgan County | 59.8% | 38.6% | 77.9% | Higher than the state | ||
Ogden (Downtown) | 27.6% | 20.0% | 36.8% | |||
South Ogden | 29.6% | 21.2% | 39.7% | |||
Roy/Hooper | 27.7% | 19.0% | 38.6% | |||
Riverdale | 35.8% | 25.5% | 47.7% | |||
Clearfield Area/Hooper | 38.4% | 31.0% | 46.3% | |||
Layton/South Weber | 38.5% | 32.2% | 45.3% | |||
Kaysville/Fruit Heights | 40.3% | 29.7% | 52.0% | |||
Syracuse | 45.9% | 34.2% | 58.2% | |||
Centerville | 46.6% | 30.5% | 63.4% | |||
Farmington | 26.0% | 15.8% | 39.7% | |||
North Salt Lake | 28.4% | 15.5% | 46.1% | |||
Woods Cross/West Bountiful | 52.6% | 36.5% | 68.1% | Higher than the state | ||
Bountiful | 49.5% | 39.9% | 59.0% | Higher than the stat | ||
SLC (Rose Park) | 32.4% | 22.8% | 43.7% | |||
SLC (Avenues) | 32.1% | 20.7% | 46.0% | |||
SLC (Foothill/East Bench) | 51.8% | 37.1% | 66.2% | Higher than the stae | ||
Magna | 37.6% | 26.3% | 50.5% | |||
SLC (Glendale) V2 | 42.9% | 28.7% | 58.3% | |||
West Valley (Center) | 32.8% | 24.5% | 42.5% | |||
West Valley (West) V2 | 34.0% | 21.7% | 48.8% | |||
West Valley (East) V2 | 28.0% | 20.4% | 37.0% | |||
SLC (Downtown) V2 | 23.5% | 16.2% | 32.8% | Lower than the state | ||
SLC (Southeast Liberty) | 38.8% | 26.8% | 52.5% | |||
South Salt Lake | 29.3% | 18.5% | 43.0% | |||
SLC (Sugar House) | 40.0% | 29.7% | 51.3% | |||
Millcreek (South) | 38.7% | 24.9% | 54.6% | |||
Millcreek (East) | 34.0% | 21.8% | 48.7% | |||
Holladay V2 | 42.2% | 29.7% | 55.8% | |||
Cottonwood | 40.7% | 30.6% | 51.8% | |||
Kearns V2 | 21.0% | 13.1% | 32.0% | Lower than the state | ||
Taylorsville (E)/Murray (W) | 30.8% | 22.9% | 39.9% | |||
Taylorsville (West) | 32.2% | 24.0% | 41.7% | |||
Murray | 30.1% | 21.5% | 40.4% | |||
Midvale | 36.9% | 26.8% | 48.4% | |||
West Jordan (Northeast) V2 | 31.9% | 22.5% | 43.2% | |||
West Jordan (Southeast) | 36.2% | 27.1% | 46.5% | |||
West Jordan (W)/Copperton | 38.0% | 29.0% | 48.0% | |||
South Jordan V2 | 36.2% | 28.3% | 44.9% | |||
Daybreak | 44.6% | 31.7% | 58.3% | |||
Sandy (West) | 44.4% | 32.5% | 57.1% | |||
Sandy (Center) V2 | 44.7% | 32.5% | 57.6% | |||
Sandy (Northeast) | 37.1% | 26.0% | 49.8% | |||
Sandy (Southeast) | 37.6% | 25.6% | 51.4% | |||
Draper | 39.5% | 29.2% | 50.8% | |||
Riverton/Bluffdale | 34.5% | 26.3% | 43.8% | |||
Herriman | 35.7% | 27.4% | 45.0% | |||
Tooele County (Other) | 36.5% | 24.0% | 51.1% | |||
Tooele Valley | 32.1% | 24.9% | 40.3% | |||
Eagle Mountain/Cedar Valley | 29.0% | 20.5% | 39.3% | |||
Lehi | 33.6% | 27.2% | 40.6% | |||
Saratoga Springs | 32.3% | 23.1% | 43.0% | |||
American Fork | 40.6% | 31.2% | 50.7% | |||
Alpine | 50.5% | 31.9% | 68.9% | |||
Pleasant Grove/Lindon | 42.0% | 33.6% | 50.8% | |||
Orem (North) | 45.1% | 35.4% | 55.2% | |||
Orem (West) | 34.6% | 25.9% | 44.5% | |||
Orem (East) | 35.6% | 25.1% | 47.6% | |||
Provo/BYU | 36.5% | 28.1% | 45.9% | |||
Provo (West City Center) | 38.9% | 29.7% | 49.0% | |||
Provo (East City Center) | 34.6% | 23.4% | 47.8% | |||
Salem City | 41.9% | 31.3% | 53.3% | Interpret with caution | ||
Spanish Fork | 33.9% | 26.2% | 42.7% | |||
Springville | 37.8% | 29.1% | 47.5% | |||
Mapleton | 38.7% | 21.9% | 58.7% | |||
Utah County (South) V2 | 45.5% | 29.1% | 62.9% | |||
Payson | 36.6% | 27.6% | 46.8% | |||
Park City | 46.7% | 33.9% | 59.9% | |||
Summit County (East) | 40.4% | 29.0% | 52.9% | |||
Wasatch County | 44.9% | 35.5% | 54.7% | |||
Daggett and Uintah County | 32.6% | 26.3% | 39.6% | |||
Duchesne County | 34.7% | 26.2% | 44.3% | |||
Nephi/Mona | 39.4% | 23.3% | 58.2% | |||
Delta/Fillmore | 32.3% | 18.0% | 51.0% | |||
Sanpete Valley | 34.6% | 25.1% | 45.6% | |||
Central (Other) | 29.9% | 21.3% | 40.3% | |||
Richfield/Monroe/Salina | 26.2% | 16.5% | 38.9% | |||
Carbon County | 29.4% | 20.3% | 40.4% | |||
Emery County | 47.4% | 33.4% | 61.8% | |||
Grand County | 41.4% | 27.7% | 56.6% | |||
Blanding/Monticello | 42.6% | 30.1% | 56.2% | |||
San Juan County (Other) | 42.3% | 30.7% | 54.8% | Interpret with caution | ||
St. George | 36.3% | 29.4% | 43.7% | |||
Washington Co (Other) V2 | 31.2% | 17.4% | 49.3% | |||
Washington City | 37.5% | 23.8% | 53.6% | |||
Hurricane/La Verkin | 28.9% | 18.7% | 41.7% | |||
Ivins/Santa Clara | 28.9% | 15.4% | 47.6% | Interpret with caution | ||
Cedar City | 30.9% | 22.8% | 40.5% | |||
Southwest LHD (Other) | 26.3% | 17.7% | 37.2% | |||
State of Utah | 35.7% | 34.6% | 36.8% |
Data Notes
Age-adjusted to U.S. 2000 standard population. Note that the state rate in this view represents five years of data combined. A description of the Utah Small Areas may be found on the Methodology and Guidelines page: [https://ibis.health.utah.gov/resource/Guidelines.html].Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)Highest consumption is seen in households earning $75,000 or more annually.
Income Category | Age-adjusted Percentage of Adults | Lower Limit | Upper Limit | |||
---|---|---|---|---|---|---|
Record Count: 5 | ||||||
<$25,000 | 29.9% | 22.5% | 38.6% | |||
$25,000-$49,999 | 32.9% | 27.1% | 39.2% | |||
$50,000-$74,999 | 31.8% | 25.5% | 38.7% | |||
$75,000+ | 36.3% | 31.2% | 41.7% | |||
Total | 32.2% | 29.7% | 34.9% |
Data Notes
Age-adjusted to U.S. 2000 standard population.Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)College graduates and those with some post high school education reported eating fruit at least two times per day more than those with lower levels of education
Education Level | Age-adjusted Percentage of Adults 25 + | Lower Limit | Upper Limit | |||
---|---|---|---|---|---|---|
Record Count: 5 | ||||||
Less Than High School | 31.0% | 19.3% | 45.7% | |||
H.S. Grad or G.E.D. | 27.4% | 21.6% | 34.1% | |||
Some Post High School | 33.5% | 28.6% | 38.7% | |||
College Graduate | 38.3% | 34.1% | 42.7% | |||
Total | 33.9% | 31.1% | 36.9% |
Data Notes
Age-adjusted to U.S. 2000 standard population. Percentages include only adults aged 25 or older.Data Source
The Utah Department of Health and Human Services Behavioral Risk Factor Surveillance System (BRFSS)References and Community Resources
CDC. ''Can eating fruits and vegetables help people to manage their weight?'' (Research to Practice Series No. 1) [Online Access] [http://www.cdc.gov/nccdphp/dnpa/nutrition/pdf/rtp_practitioner_10_07.pdf][[br]] World Cancer Research Fund, American Institute for Cancer Research. 'Diet, Nutrition, Physical Activity and Cancer: a Global Perspective" October 2018. [Online Access] [https://www.wcrf.org/dietandcancer/about] [[br]] Dietary Guidelines for Americans, 2020-2025 [hhttps://www.dietaryguidelines.gov/sites/default/files/2020-12/Dietary_Guidelines_for_Americans_2020-2025.pdf Healthy Environments Active Living Program, Utah Department of Health[[br]] [http://heal.health.utah.gov] Produce for Better Health, Fruits & Veggies--More Matters [https://www.uspm.com/fruits-and-veggies-more-matters] National Fruit and Vegetable Alliance [https://fruitsandveggies.org/nfva/#:~:text=The%20National%20Fruit%20%26%20Vegetable%20Alliance%20(NFVA)%20is%20a%20national,vegetables%20for%20improved%20public%20health]More Resources and Links
Additional indicator data by state and county may be found on these websites:- Centers for Disease Control and Prevention (CDC) WONDER database, a system for disseminating public health data and information.
- United States Census Bureau data dashboard.
- Utah Healthy Places Index, evidence-based and peer-reviewed tool, supports efforts to prioritize equitable community investments, develop critical programs and policies across the state, and much more.
- County Health Rankings
- Kaiser Family Foundation's State Health Facts
Medical literature can be queried at PubMed library.
Page Content Updated On 11/01/2022,
Published on 12/20/2022