logo

Shannon L. Michael, PhD1; Sherry Everett Jones, PhD, JD2; Caitlin L. Merlo, MPH1; Sarah A. Sliwa, PhD1; Sarah M. Lee, PhD1; Kelly Cornett, MS1; Nancy D. Brener, PhD2; Tiffany J. Chen, MSPH3,4; Carmen L. Ashley, MPH2; Sohyun Park, PhD3 (

On This Page

Tables

Related Materials

Abstract

The fall of 2021 was the first school semester to begin with widespread in-person learning since the COVID-19 pandemic began. Understanding dietary and physical activity behaviors of adolescents during this time can provide insight into potential health equity gaps and programmatic needs in schools and communities. This report uses data from the 2021 national Youth Risk Behavior Survey conducted among a nationally representative sample of U.S. public and private school students in grades 9–12 to update estimates of dietary and physical activity behaviors among U.S. high school students overall and by sex and race and ethnicity. In addition, 2-year comparisons (2019 versus 2021) of these behaviors were examined. In 2021, daily consumption of fruits, vegetables, and breakfast during the past 7 days remained low and decreased overall with specific disparities by sex and race and ethnicity from 2019 to 2021. The overall prevalence of students attending physical education classes daily, exercising to strengthen muscles on ≥3 days/week (i.e., met the guideline for muscle-strengthening activity), and playing on at least one sports team decreased from 2019 to 2021; whereas being physically active for ≥60 minutes/day on all 7 days (i.e., met the guideline for aerobic activity) and meeting both aerobic and muscle-strengthening guidelines remained low but did not change. These findings underscore the need for strategies to increase healthy dietary and physical activity behaviors both in the recovery phase of COVID-19 and longer term.

Introduction

Healthy dietary and physical activity behaviors provide adolescents with various benefits and are important public health strategies for chronic disease prevention (1,2). These benefits include supporting healthy growth and development, maintaining a healthy body weight, reducing anxiety, and reducing the risk for developing health conditions (e.g., heart disease or type 2 diabetes) (1,2). Not having consistent opportunities to practice these health behaviors could negatively affect students’ physical and mental health, which have long-term health implications (1–3).

From the start of the COVID-19 pandemic in 2020, school and community practices changed to comply with COVID-19 guidance. Such changes included modified meal services and sport schedules, which likely affected opportunities for students to consistently engage in healthy dietary and physical activity behaviors (4,5). For example, recent studies illustrated that breakfast regularity declined during the pandemic, whereas afternoon and evening snack consumption increased among adolescents (6), and homes had more high-calorie snack foods, unhealthy foods (e.g., desserts or sweets), and nonperishable processed foods during the pandemic (7). Likewise, adolescent physical activity levels decreased at the beginning of the pandemic because of changes in school- and sports-based programs (4,8). These pandemic-related effects are concerning because students might not meet key recommendations in the Dietary Guidelines for Americans 2020–2025 for following a healthy eating pattern (1) and not reach the duration and frequency of physical activity recommended by the Physical Activity Guidelines for Americans, second edition (2).

Despite studies examining dietary and physical activity behaviors of students between March 2020 and July 2021 (4–8), little is known about these behaviors among U.S. high school students during the fall of 2021 when most of them returned to school in person. This report provides 2021 national estimates of dietary and physical activity behaviors among U.S. high school students overall and by sex and race and ethnicity. This report also compares 2019 with 2021 data overall and by sex and race and ethnicity to identify health disparities magnified during the pandemic. Health professionals, state and local health officials, policymakers, and school leaders can use the findings in this report to highlight the need for school health policies, practices, and programs that promote students’ healthy dietary and physical activity behaviors and their overall physical and mental health during immediate and longer-term pandemic recovery efforts.

Data Source

This report includes data from the 2019 (N = 13,677) and 2021 (N = 17,232) YRBS, a cross-sectional, school-based survey conducted biennially since 1991. Each survey year, CDC collects data from a nationally representative sample of public and private school students in grades 9–12 in the 50 U.S. states and the District of Columbia. Additional information about YRBS sampling, data collection, response rates, and processing is available in the overview report of this supplement (9). The prevalence estimates for dietary and physical activity behaviors for the overall study population and by sex, race and ethnicity, grade, and sexual identity are available at https://nccd.cdc.gov/youthonline/App/Default.aspx. The full YRBS questionnaire, data sets, and documentation are available at https://www.cdc.gov/healthyyouth/data/yrbs/index.htm. This activity was reviewed by CDC and was conducted consistent with applicable federal law and CDC policy.*

Measures

Six dietary variables and five physical activity variables were examined for this report (

Student demographic characteristics examined included sex (female or male) and race and ethnicity. Students were classified into seven racial and ethnic categories including American Indian or Alaska Native (AI/AN), Asian, Black or African American (Black), Hispanic or Latino (Hispanic), Native Hawaiian or other Pacific Islander (NH/OPI), White, and students who were two or more races (multiracial). (Persons of Hispanic origin might be of any race but are categorized as Hispanic; all racial groups are non-Hispanic.) Grade was also included in the regression model.

Analysis

For each behavior, the 2021 prevalence and 95% CIs were calculated overall and for each sex and race and ethnicity group. Statistically significant pairwise differences by sex and race and ethnicity were determined by t-tests with Taylor series linearization, as were comparisons between 2019 and 2021. Differences between prevalence estimates were considered statistically significant if the t-test p value was Using national YRBS data from 2021, four logistic regression models examined the association between: 1) having played on ≥1 sports team and being physically active for ≥60 minutes/day on all 7 days, 2) having played on ≥1 sports team and having met both aerobic and muscle-strengthening guidelines, 3) having attended physical education classes on all 5 days and being physically active for ≥60 minutes/day on all 7 days, and 4) having attended physical education classes on all 5 days and having met both aerobic and muscle-strengthening guidelines. These models controlled for sex, race and ethnicity, and grade. Results from the analyses are reported as adjusted prevalence ratios (APRs) with 95% CIs. APRs were considered statistically significant if the 95% CI did not include 1.0. Prevalence estimates with a denominator 9).

Dietary Behaviors

In 2021, 47.1% of students had eaten fruit or drunk 100% fruit juices

Dietary behaviors varied by demographic characteristics. A higher percentage of female than male students had eaten fruit or drunk 100% fruit juices During 2019–2021, increases occurred for three of the poor dietary behaviors examined (

Physical activity behaviors varied by demographic characteristics. A higher percentage of male than female students had been physically active for ≥60 minutes/day on all 7 days (31.7% versus 15.7%), had exercised to strengthen or tone their muscles on ≥3 days/week (56.6% versus 32.3%), had met both aerobic and muscle-strengthening guidelines (22.9% versus 8.8%), had attended physical education classes on all 5 days (21.1% versus 16.7%), and had played on ≥1 sports team (52.0% versus 46.4%).

Differences by race and ethnicity illustrated no clear pattern across all the physical activity behaviors. For example, the prevalence of being physically active for a total of ≥60 minutes/day on all 7 days was higher among AI/AN students than among Asian, Black, and Hispanic students. Whereas, the prevalence of meeting both aerobic and muscle-strengthening guidelines, and playing on ≥1 sports team was higher among White students than among Black, Hispanic, and multiracial students.

During 2019–2021, decreases occurred overall for three of the five physical activity behaviors examined (

Associations Between Physical Activity Behaviors

The findings in this report illustrated decreases from 2019 to 2021 in both the prevalence of students who had attended physical education classes on all 5 days and students who had played on ≥1 sports team but no changes in the prevalence estimates of having been physically active for ≥60 minutes/day on all 7 days or having met both aerobic and muscle-strengthening guidelines. These observations warranted an examination of the potential effect of physical education and sports participation on being physically active and meeting both guidelines.

In 2021, after adjusting for sex, race and ethnicity, and grade, students who played on ≥1 sports team compared with those who did not were 2.6 times more likely to be physically active for ≥60 minutes/day on all 7 days (APR = 2.6; CI = 2.4–2.8) and 3.6 times more likely to have met both aerobic and muscle-strengthening guidelines (APR = 3.6; CI = 3.3–4.0). Similarly, students who attended physical education classes on all 5 days compared with those who did not were 1.8 times more likely to be physically active for ≥60 minutes/day on all 7 days (APR = 1.8; CI = 1.5–2.0) and 2.1 times more likely to have met both aerobic and muscle-strengthening guidelines (APR = 2.1; CI = 1.7–2.5).

Discussion

Although healthy dietary and physical activity behaviors are important for adolescents’ overall physical health, this study found that none of the 11 behaviors examined in this report have improved since 2019. Certain dietary and physical activity behaviors have worsened overall and for certain sex and racial and ethnic groups. These findings are particularly concerning because of the association between poor dietary behaviors and insufficient physical activity and numerous chronic health conditions and poor mental health (1–3). Understanding current dietary and physical activity behaviors among students and comparing them to prepandemic data can identify areas of high need and be used to influence longer-term physical and mental health outcomes through primary chronic disease prevention strategies.

Overall, these findings illustrate that certain students are not engaging in healthy dietary behaviors. Specifically, in 2021, consumption of fruits, vegetables, and daily breakfast remained low with certain disparities by sex and race and ethnicity, and these behaviors worsened overall from 2019 to 2021. Multiple factors could have contributed to these changes. For example, during the pandemic, certain students might have shifted away from healthy foods in favor of unhealthy alternatives to alleviate stress (10).

Although no differences were observed from 2019 to 2021 in consuming sports drinks ≥1 time/day, consuming soda ≥1 time/day, or consuming water 1).

In 2021, with the exception of low fruit consumption, all poor dietary behaviors were lower among Asian students compared with students from other racial and ethnic groups. A previous study illustrated similar results for Asian students for sugar-sweetened beverage consumption but no significant findings for fruit and vegetable intake; breakfast consumption was not examined in that study (11). This study also found that three of the poor dietary behaviors (i.e., ate vegetables 12).

The prevalence of all five physical activity behaviors was below 50%, and three of these behaviors decreased from 2019 to 2021. This observation was not surprising because of changes in adolescents’ school and extracurricular schedules as a result of the COVID-19 pandemic. Being physically active for ≥60 minutes/day on all 7 days (i.e., meeting guideline for aerobic activity) and meeting both aerobic and muscle-strengthening guidelines did not change from 2019 to 2021, which is inconsistent with findings from the beginning of the pandemic illustrating that physical activity decreased (4). However, the prevalence estimates for 2021 are still troubling, with less than one fourth (23.9%) of students getting the recommended ≥60 minutes of physical activity daily and only 16.0% meeting both aerobic and muscle-strengthening guidelines. Not meeting national physical activity guidelines means that students are not receiving the multiple physical and mental health benefits of physical activity (e.g., reducing stress, anxiety, and depression) and preventing various chronic disease risk factors (2).

The results in this report indicate decreases from 2019 to 2021 in physical education class attendance and sports team participation overall for certain sex and racial and ethnic groups. Both of these physical activity behaviors were affected by school closures during the COVID-19 pandemic. It is unclear why these two physical activity opportunities declined although meeting guidelines did not; however, the results of the logistic regression in this study illustrated that students who attend physical education classes daily or participate on a sports team are more likely to get ≥60 minutes of daily physical activity and meet the guidelines, indicating that opportunities for physical activity in and out of school are both important for meeting guidelines. Physical education classes and sports opportunities are also critical for developing social and emotional learning competencies (e.g., social interaction skills, communication skills, teamwork, and goal setting) as well as fostering school connectedness (https://www.shapeamerica.org/standards/guidelines/sel-crosswalk.aspx). School and other types of COVID-19 closures also might have maintained or exacerbated inequities related to accessing physical activity because students might have stayed at or close to their home and neighborhood with varying levels of safety and access to physical activity supports (13).

Similar to dietary behaviors, differences across racial and ethnic groups were inconsistent for the physical activity behaviors. However, this study illustrates that being physically active for ≥60 minutes/day on all 7 days, meeting both aerobic and muscle-strengthening guidelines, and playing on a sports team were higher among White students compared with Black, Hispanic, and multiracial students. A recent study had similar findings, indicating that White female adolescents had higher physical activity participation compared with Black, Hispanic, and other minority female students (14). Other differences across race and ethnicity found in this study warrant further investigation to determine what factors supported higher prevalence of physical activity behaviors among certain groups.

Limitations

General limitations for the 2021 YRBS are available in the overview report of this supplement (9). The findings in this report are subject to at least four additional limitations. First, the national YRBS collects data on frequency of consumption rather than amount; therefore, these data cannot directly determine whether students are meeting specific dietary recommendations. Second, individual measures of socioeconomic status are not accounted for and are known to be associated with dietary consumption and physical activity opportunities (8,15). Third, this study did not investigate how these behaviors differed by sex within race and ethnicity to further examine health disparities. Finally, specific student experiences during COVID-19 are unknown (e.g., the extent of remote learning, school closure, and community burden of COVID-19). Therefore, quantifying the effect of COVID-19 is limited.

Future Directions

Schools face multiple priorities, including addressing mental health issues, mitigating learning loss among students, and offering opportunities for students to learn about and practice health behaviors. These priorities do not need to compete. Ensuring regular access to school-based physical activity and school meals that meet U.S. Department of Agriculture nutrition standards support students’ health and readiness to learn (2,16). For example, schools can address poor dietary behaviors among high school students by encouraging participation in the National School Lunch and School Breakfast Programs and providing multiple opportunities for students to access breakfast, including Grab and Go and Second Chance models (https://frac.org/wp-content/uploads/how_it_works_bic_fact_sheet.pdf; https://fns-prod.azureedge.us/sites/default/files/resource-files/SBPfactsheet.pdf) that do not require students to arrive early to eat in the cafeteria. In addition, the Community Preventive Services Task Force recommends school-based gardening programs combined with nutrition education as a strategy to increase vegetable consumption (https://www.thecommunityguide.org/sites/default/files/assets/Nutrition-Gardening-Fruit-Vegetable-Consumption-Children-508.pdf#:~:text=The Community Preventive Services Task Force recommends school-based,increase children%E2%80%99s vegetable consumption. Rationale Basis of Finding).

Schools are also uniquely suited to provide students with multiple opportunities for physical activity participation. The actions of schools can be supported by other community strategies to increase physical activity promoted by Active People, Healthy Nation, an initiative led by CDC (https://www.cdc.gov/physicalactivity/activepeoplehealthynation/index.html). Further, implementing a Comprehensive School Physical Activity Program (CSPAP) increases opportunities for students to be physically active before, during, and after school, and can be tailored based on available resources, interests, time allotments, and community support (https://www.cdc.gov/healthyschools/physicalactivity/index.htm). A CSPAP approach enables schools to engage community partners, staff members, families, and before- and after-school leaders to increase the total amount of physical activity access for adolescents throughout the day.

Conclusion

Certain poor dietary behaviors (e.g., skipping breakfast and infrequent consumption of fruits and vegetables) appear to have worsened during the pandemic, and certain students continue to fall short of recommended levels of physical activity. Understanding current dietary and physical activity behaviors among high school students nationwide can support schools, communities, and families to make decisions about strategies needed to improve these behaviors during the pandemic recovery phase and beyond.

Corresponding author: Shannon L. Michael, PhD, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, CDC. Telephone: 770-488-6125; Email: sot2@cdc.gov.

1Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, CDC; 2Division of Adolescent and School Health, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, CDC; 3Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, CDC; 4McKing Consulting Corporation, Atlanta, Georgia

Conflicts of Interest

All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

  • 45 C.F.R. part 46.102(l)(2), 21 C.F.R. part 56; 42 U.S.C. §241(d); 5 U.S.C. §552a; 44 U.S.C. §3501 et seq.

References

  • US Department of Agriculture; US Department of Health and Human Services. Dietary guidelines for Americans, 2020–2025. 9th ed. Washington, DC: US Department of Health and Human Services, US Department of Agriculture; 2020. https://www.dietaryguidelines.gov
  • Office of Disease Prevention and Health Promotion. Physical activity guidelines for Americans. 2nd ed. Washington, DC: US Department of Health and Human Services, Office of Disease Prevention and Health Promotion; 2018. https://health.gov/our-work/nutrition-physical-activity/physical-activity-guidelines
  • O’Neil A, Quirk SE, Housden S, et al. Relationship between diet and mental health in children and adolescents: a systematic review. Am J Public Health 2014;104:e31–42. https://doi.org/10.2105/AJPH.2014.302110 PMID:25208008
  • Do B, Kirkland C, Besenyi GM, Smock C, Lanza K. Youth physical activity and the COVID-19 pandemic: a systematic review. Prev Med Rep 2022;29:101959. https://doi.org/10.1016/j.pmedr.2022.101959 PMID:36034528
  • Hecht AA, Dunn CG, Kinsey EW, et al. Estimates of the nutritional impact of non-participation in the National School Lunch Program during COVID-19 school closures. Nutrients 2022;14:1387. https://doi.org/10.3390/nu14071387 PMID:35406001
  • Saals B, Boss HM, Pot GK. Young people and adolescents have more irregular meals during the COVID-19 pandemic: a nested case-control study on chrono-nutrition before and during the COVID-19 pandemic. Chronobiol Int 2022;39:991–1000. https://doi.org/10.1080/07420528.2022.2054347 PMID:35354418
  • Adams EL, Caccavale LJ, Smith D, Bean MK. Food insecurity, the home food environment, and parent feeding practices in the era of COVID-19. Obesity (Silver Spring) 2020;28:2056–63. https://doi.org/10.1002/oby.22996 PMID:32762129
  • Rossi L, Behme N, Breuer C. Physical activity of children and adolescents during the COVID-19 pandemic—a scoping review. Int J Environ Res Public Health 2021;18:11440. https://doi.org/10.3390/ijerph182111440 PMID:34769956
  • Mpofu JJ, Underwood JM, Thornton JE, et al. Overview and methods for the Youth Risk Behavior Surveillance System—United States, 2021. In: Youth Risk Behavior Surveillance—United States, 2021. MMWR Suppl 2023;72(No. Suppl 1):1–12.
  • Simone M, Emery RL, Hazzard VM, Eisenberg ME, Larson N, Neumark-Sztainer D. Disordered eating in a population-based sample of young adults during the COVID-19 outbreak. Int J Eat Disord 2021;54:1189–201. https://doi.org/10.1002/eat.23505 PMID:33720460
  • Haughton CF, Wang ML, Lemon SC. Racial/ethnic disparities in meeting 5–2-1–0 recommendations among children and adolescents in the United States. J Pediatr 2016;175:188–194.e1. https://doi.org/10.1016/j.jpeds.2016.03.055 PMID:27112040
  • Merlo CL, Jones SE, Michael SL, et al. Dietary and physical activity behaviors among high school students—Youth Risk Behavior Survey, United States, 2019. In: Youth Risk Behavior Surveillance—United States, 2019. MMWR Suppl 2020;69(No. Suppl 1):64–76.
  • Hasson R, Sallis JF, Coleman N, Kaushal N, Nocera VG, Keith N. COVID-19: implications for physical activity, health disparities, and health equity. Am J Lifestyle Med 2021;16:420–33. https://doi.org/10.1177/15598276211029222 PMID:35855783
  • Armstrong S, Wong CA, Perrin E, Page S, Sibley L, Skinner A. Association of physical activity with income, race/ethnicity, and sex among adolescents and young adults in the United States: findings from the National Health and Nutrition Examination Survey, 2007–2016. JAMA Pediatr 2018;172:732–40. https://doi.org/10.1001/jamapediatrics.2018.1273 PMID:29889945
  • Drewnowski A, Rehm CD, Vieux F. Breakfast in the United States: food and nutrient intakes in relation to diet quality in National Health and Examination Survey 2011–2014. A study from the International Breakfast Research Initiative. Nutrients 2018;10:1200. https://doi.org/10.3390/nu10091200 PMID:30200424
  • Cohen JFW, Hecht AA, McLoughlin GM, Turner L, Schwartz MB. Universal school meals and associations with student participation, attendance, academic performance, diet quality, food security, and body mass index: a systematic review. Nutrients 2021;13:911. https://doi.org/10.3390/nu13030911 PMID:33799780
VariableQuestionResponse optionsAnalytic coding
Poor dietary behaviors
  • This variable comprised more than one question. The responses of the questions were summed and then dichotomized to reflect
CharacteristicAte fruit or drank 100% fruit juices § % (95% CI)Ate vegetables ¶ % (95% CI)Did not eat breakfast daily** % (95% CI)Drank sugar-sweetened soda or pop ≥1 time/day †† % (95% CI)Drank a sports drink ≥1 time/day §§ % (95% CI)Drank ¶¶ % (95% CI)
Overall47.1 (45.6–48.5)45.3 (42.7–47.9)75.0 (73.1–76.7)14.7 (13.4–16.2)11.2 (9.6–12.9)44.2 (41.9–46.6)
Sex
Female50.5 (48.3–52.8)45.0 (42.8–47.3)80.1 (77.8–82.2)12.7 (10.7–14.9)8.4 (6.6–10.6)46.1 (43.3–49.0)
Male43.6 (41.9–45.4)45.2 (41.9–48.6)69.9 (67.9–71.9)16.5 (15.3–17.7)13.6 (11.8–15.6)42.2 (39.8–44.7)
Race and ethnicity***
American Indian or Alaska Native49.1 (36.2–62.2)37.4 (23.6–53.6)77.9 (68.7–85.0)22.8 (12.7–37.5)21.0 (13.5–31.4)37.6 (24.7–52.6)
Asian40.6 (31.0–51.0)30.4 (21.4–41.2)61.9 (55.9–67.5)5.4 (4.1–6.9)3.9 (2.3–6.5)28.1 (21.9–35.3)
Black or African American47.0 (44.1–50.0)55.7 (52.5–59.0)83.8 (81.0–86.2)15.1 (12.5–18.2)18.7 (14.9–23.2)48.1 (44.6–51.7)
Native Hawaiian or other Pacific Islander48.8 (35.8–62.0)59.0 (40.6–75.1)80.0 (66.6–88.9)18.2 (8.3–35.4)— †††41.3 (28.6–55.4)
White46.9 (44.3–49.6)41.7 (38.8–44.7)72.4 (69.7–75.0)15.8 (13.8–18.2)10.2 (8.6–12.1)46.0 (43.5–48.6)
Hispanic or Latino48.2 (46.5–49.9)50.7 (47.8–53.5)77.7 (75.1–80.2)14.0 (12.4–15.9)11.5 (10.5–12.5)43.1 (38.8–47.4)
Multiracial48.0 (43.7–52.3)41.1 (36.4–46.1)78.1 (70.8–83.9)12.5 (9.8–15.9)9.6 (7.6–12.1)40.8 (35.9–45.9)

† Refer to Table 1 for variable definitions.
§ On the basis of t-test analysis with Taylor series linearization (p¶ On the basis of t-test analysis with Taylor series linearization (pt-test analysis with Taylor series linearization (p†† On the basis of t-test analysis with Taylor series linearization (p§§ On the basis of t-test analysis with Taylor series linearization (p¶¶ On the basis of t-test analysis with Taylor series linearization (p††† Prevalence estimates with a denominator

Behavior20192021Change from 2019 to 2021 §
Ate fruit or drank 100% fruit juices
Overall41.847.1Increased
Sex
Female43.050.5Increased
Male40.643.6Increased
Race and ethnicity ¶
American Indian or Alaska Native44.049.1No change
Asian33.540.6No change
Black or African American47.847.0No change
Native Hawaiian or other Pacific Islander51.848.8No change
White42.146.9Increased
Hispanic or Latino39.548.2Increased
Multiracial41.748.0No change
Ate vegetables
Overall40.745.3Increased
Sex
Female40.445.0Increased
Male41.145.2No change
Race and ethnicity ¶
American Indian or Alaska Native38.537.4No change
Asian22.330.4No change
Black or African American54.855.7No change
Native Hawaiian or other Pacific Islander40.959.0No change
White35.541.7Increased
Hispanic or Latino46.850.7No change
Multiracial41.441.1No change
Did not eat breakfast daily
Overall66.975.0Increased
Sex
Female71.580.1Increased
Male62.469.9Increased
Race and ethnicity ¶
American Indian or Alaska Native82.377.9No change
Asian52.561.9No change
Black or African American72.083.8Increased
Native Hawaiian or other Pacific Islander66.380.0No change
White65.572.4Increased
Hispanic or Latino67.377.7Increased
Multiracial77.478.1No change
Drank sugar-sweetened soda or pop ≥1 time/day
Overall15.114.7No change
Sex
Female11.712.7No change
Male18.216.5No change
Race and ethnicity ¶
American Indian or Alaska Native25.022.8No change
Asian4.65.4No change
Black or African American16.915.1No change
Native Hawaiian or other Pacific Islander10.318.2No change
White15.215.8No change
Hispanic or Latino16.114.0No change
Multiracial13.412.5No change
Drank a sports drink ≥1 time/day
Overall10.611.2No change
Sex
Female7.18.4No change
Male14.013.6No change
Race and ethnicity ¶
American Indian or Alaska Native27.221.0No change
Asian2.13.9No change
Black or African American15.618.7No change
Native Hawaiian or other Pacific Islander9.4—**
White9.310.2No change
Hispanic or Latino11.911.5No change
Multiracial13.59.6No change
Drank
Overall44.644.2No change
Sex
Female44.146.1No change
Male45.042.2No change
Race and ethnicity ¶
American Indian or Alaska Native49.437.6No change
Asian34.428.1No change
Black or African American54.848.1No change
Native Hawaiian or other Pacific Islander38.541.3No change
White44.246.0No change
Hispanic or Latino44.243.1No change
Multiracial38.640.8No change

† Refer to Table 1 for variable definitions.
§ On the basis of t-test analysis with Taylor series linearization (p¶ Persons of Hispanic or Latino (Hispanic) origin might be of any race but are categorized as Hispanic; all racial groups are non-Hispanic.
** Prevalence estimates with a denominator

CharacteristicWere physically active for a total of ≥60 minutes/day on all 7 days § % (95% CI)Did exercises to strengthen or tone muscles on ≥3 days ¶ % (95% CI)Met both aerobic and muscle-strengthening guidelines** % (95% CI)Went to physical education classes on all 5 days †† % (95% CI)Played on ≥1 sports team §§ % (95% CI)
Overall23.9 (22.8–25.0)44.9 (42.5–47.2)16.0 (14.2–17.9)19.0 (15.7–22.7)49.1 (46.3–51.8)
Sex
Female15.7 (14.1–17.4)32.3 (29.7–35.1)8.8 (7.3–10.6)16.7 (13.4–20.6)46.4 (43.4–49.4)
Male31.7 (30.2–33.2)56.6 (54.4–58.8)22.9 (20.5–25.4)21.1 (17.2–25.6)52.0 (49.1–55.0)
Race and ethnicity ¶¶
American Indian or Alaska Native40.0 (22.5–60.3)54.8 (39.2–69.5)29.9 (15.1–50.5)23.0 (14.7–34.2)52.8 (41.8–63.6)
Asian19.4 (14.6–25.3)41.7 (35.2–48.5)13.5 (7.9–22.1)9.6 (5.7–15.6)45.0 (33.7–56.8)
Black or African American19.7 (17.5–22.0)40.7 (36.1–45.4)10.8 (8.4–13.7)19.6 (13.9–27.0)47.2 (43.1–51.3)
Native Hawaiian or other Pacific Islander23.2 (16.1–32.2)43.2 (31.6–55.6)15.0 (10.9–20.4)15.9 (8.4–28.2)50.6 (32.6–68.4)
White27.7 (25.1–30.4)47.0 (43.3–50.6)18.6 (15.8–21.8)19.0 (15.0–23.6)55.3 (51.4–59.2)
Hispanic or Latino18.9 (17.3–20.5)44.2 (41.9–46.5)13.5 (11.8–15.4)21.0 (17.4–25.2)39.4 (36.7–42.1)
Multiracial21.3 (17.8–25.2)39.4 (35.1–43.7)13.5 (10.5–7.1)16.5 (10.5–24.9)48.8 (43.8–53.8)

† Refer to Table 1 for variable definitions.
§ On the basis of t-test analysis with Taylor series linearization (p¶ On the basis of t-test analysis with Taylor series linearization (pt-test analysis with Taylor series linearization (p†† On the basis of t-test analysis with Taylor series linearization (p§§ On the basis of t-test analysis with Taylor series linearization (p¶¶ Persons of Hispanic origin might be of any race but are categorized as Hispanic; all racial groups are non-Hispanic.

Behavior20192021Change from 2019 to 2021 §
Were physically active for a total of ≥60 minutes/day on all 7 days
Overall23.223.9No change
Sex
Female15.415.7No change
Male30.931.7No change
Race and ethnicity ¶
American Indian or Alaska Native26.540.0No change
Asian15.319.4No change
Black or African American21.119.7No change
Native Hawaiian or other Pacific Islander37.023.2No change
White25.627.7No change
Hispanic or Latino20.918.9No change
Multiracial21.521.3No change
Did exercises to strengthen or tone muscles on ≥3 days
Overall49.544.9Decreased
Sex
Female39.732.3Decreased
Male59.056.6No change
Race and ethnicity ¶
American Indian or Alaska Native53.154.8No change
Asian42.441.7No change
Black or African American47.040.7Decreased
Native Hawaiian or other Pacific Islander66.343.2Decreased
White50.847.0No change
Hispanic or Latino48.144.2No change
Multiracial51.539.4Decreased
Met both aerobic and muscle-strengthening guidelines
Overall16.516.0No change
Sex
Female10.18.8No change
Male23.122.9No change
Race and ethnicity ¶
American Indian or Alaska Native19.129.9No change
Asian8.513.5No change
Black or African American13.410.8No change
Native Hawaiian or other Pacific Islander34.915.0Decreased
White18.418.6No change
Hispanic or Latino16.013.5No change
Multiracial13.613.5No change
Went to physical education classes on all 5 days
Overall25.919.0Decreased
Sex
Female22.816.7No Change
Male28.921.1Decreased
Race and ethnicity ¶
American Indian or Alaska Native22.623.0No change
Asian27.39.6Decreased
Black or African American23.819.6No change
Native Hawaiian or other Pacific Islander41.615.9Decreased
White24.319.0No change
Hispanic or Latino29.921.0Decreased
Multiracial25.616.5No change
Played on ≥1 sports team
Overall57.449.1Decreased
Sex
Female54.646.4Decreased
Male60.252.0Decreased
Race and ethnicity ¶
American Indian or Alaska Native48.652.8No change
Asian46.545.0No change
Black or African American56.147.2Decreased
Native Hawaiian or other Pacific Islander64.750.6No change
White62.055.3Decreased
Hispanic or Latino51.639.4Decreased
Multiracial57.848.8Decreased

† Refer to Table 1 for variable definitions.
§ On the basis of t-test analysis with Taylor series linearization (p¶ Persons of Hispanic or Latino (Hispanic) origin might be of any race but are categorized as Hispanic; all racial groups are non-Hispanic.

Where this page came from

This page was imported from Centers for Disease Control and Prevention. Material produced by the Centers for Disease Control and Prevention is a work of the United States government and is in the public domain.

Nobody has written it yet — it is the source material at a new address, which is why search engines are asked to skip it and why no one earns from it. It is up for grabs: take it on, and it is yours to rewrite and to earn from.

Licens: CC0 1.0 (allmän egendom) · Bearbetat efter www.cdc.gov

1

0

0

0

Spinner Logo

Kommentarer

Spinner Logo
Version: 1Underhållare: 1Avsnitt: 0CC0 1.0 — public domain
Planetary Nebula
Version: 1Underhållare: 1Avsnitt: 0CC0 1.0 — public domain
Doradus Nebula
Version: 1Underhållare: 1Avsnitt: 0CC0 1.0 — public domain
The Tarantula Nebula
Version: 1Underhållare: 1Avsnitt: 0CC0 1.0 — public domain
Hubble reveals heart of Lagoon Nebula
Version: 1Underhållare: 1Avsnitt: 0CC0 1.0 — public domain
Hubble Images Searchlight Beams from a Preplanetary Nebula
Version: 1Underhållare: 1Avsnitt: 0CC0 1.0 — public domain
Hubble View of a Nitrogen-Rich Nebula