Indicator Definitions - School Health
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- Alcohol use among youth
- Binge drinking prevalence among youth
- Current cigarette smoking among youth
- Current smokeless tobacco use among youth
- Obesity among high school students
- Overweight or obesity among high school students
- Soda consumption among high school students
- Television viewing among high school students
- Computer use among high school students
- Healthy weight among high school students
- Median daily frequency of fruit consumption among high school students
- Median daily frequency of vegetable consumption among high school students
- Participation in daily school physical education classes among high school students
- Meeting aerobic physical activity guidelines among high school students
- Dental visits among children and adolescents aged 1-17 years
- Preventive dental visits among children and adolescents aged 1-17 years
- Presence of regulations pertaining to avoiding sugar in early care and education settings
- Secondary schools that allow students to purchase soda or fruit drinks
- Secondary schools that allow students to purchase sports drinks
- Secondary schools that offer less healthy foods as competitive foods
- Tobacco-free schools
- Secondary schools that allow community-sponsored use of physical activity facilities by youth outside of normal school hours
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- O’Malley PM, Wagenaar AC. Effects of minimum drinking age laws on alcohol use, related behaviors, and traffic crash involvement among American youth: 1976–1987. J Stud Alcohol 1991;52:478–491.
- Nelson DE, Naimi TS, Brewer RD, Nelson HA. State alcohol-use estimates among youth and adults, 1993–2005. Am J Prev Med 2009;36:218–24.
- Centers for Disease Control and Prevention. Alcohol-related disease impact (ARDI) application. Atlanta, GA: CDC; 2013: www.cdc.gov/ARDI.
- Bouchery EE, Harwood HJ, Sacks JJ, Simon CJ, Brewer RD. Economic costs of excessive alcohol consumption in the U.S., 2006. Am J Prev Med 2011;41(5):516-524.
- Hingson RW, Heeren T, Winter MR. Age at drinking onset and alcohol dependence: age at onset, duration, and severity. Pediatrics 2006;160:739–746.
- Warren, K.R., Hewitt, B.G., & Thomas, J.D. (2011). Fetal Alcohol Spectrum Disorders. Alcohol Research & Health, Volume 34, Issue Number 1.
- Bonnie RJ and O’Connell ME, editors. National Research Council and Institute of Medicine, Reducing Underage Drinking: A Collective Responsibility. Committee on Developing a Strategy to Reduce and Prevent Underage Drinking. Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press, 2004.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- Office of Juvenile Justice and Delinquency Prevention. Drinking in America: Myths, Realities, and Prevention Policy. Washington, DC: U.S. Department of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention, 2005.
- CDC. Vital signs: binge drinking among high school students and adults—United States, 2009. MMWR 2010;59:1274–9.
- Nelson DE, Naimi TS, Brewer RD, Nelson HA. State alcohol-use estimates among youth and adults, 1993–2005. Am J Prev Med 2009;36:218–24.
- Centers for Disease Control and Prevention. Alcohol-related disease impact (ARDI) application. Atlanta, GA: CDC; 2013: www.cdc.gov/ARDI
- Bouchery EE, Harwood HJ, Sacks JJ, Simon CJ, Brewer RD. Economic costs of excessive alcohol consumption in the U.S., 2006. Am J Prev Med 2011;41(5):516-524.
- National Institute of Alcohol Abuse and Alcoholism. Tenth special report to the U.S. Congress on alcohol and health. Bethesda, MD: US Department of Health and Human Services, National Institutes of Health; 2000.
- Warren, K.R., Hewitt, B.G., & Thomas, J.D. (2011). Fetal Alcohol Spectrum Disorders. Alcohol Research & Health, Volume 34, Issue Number 1.
- Centers for Disease Control and Prevention. Prevention Status Reports 2013: Excessive Alcohol Use. Atlanta, GA: US Department of Health and Human Services; 2014. http://www.cdc.gov/stltpublichealth/psr/alcohol/index.html
- CDC.U.S. Department of Health and Human Services. The Health Consequences of Smoking – 50 Years of Progress: A Report of the Surgeon General. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Coordinating Center for Health Promotion, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 2014.
- US Department of Health and Human Services. Preventing tobacco use among youth and young adults. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cdc.gov/tobacco/data_statistics/sgr/2012/index.htm.
- CDC. Youth Risk Behavior Surveillance – United States, 2011. MMWR. 2012;61(4):1-162.
- US Department of Health and Human Services. How tobacco smoke causes disease: the biology and behavioral basis for smoking-attributable disease: a report of the Surgeon General. Atlanta, GA: US Department of Health and Human Services, CDC: 2010. Available at http://www.cdc.gov/tobacco/data_statistics/sgr/2010/index.htm
- CDC. Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC). Available at http://apps.nccd.cdc.gov/sammec/.
- CDC. Youth Risk Behavior Surveillance System. Available at http://www.cdc.gov/mmwr/PDF/rr/rr5312.pdf.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- U.S. Department of Health and Human Services. The Health Consequences of Smoking – 50 Years of Progress: A Report of the Surgeon General. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Coordinating Center for Health Promotion, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 2014.
- CDC. Youth Risk Behavior Surveillance – United States, 2011. MMWR. 2012;61(4):1-162.
- U.S. Department of Health and Human Services. Preventing tobacco use among youth and young adults: a report of the Surgeon General. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2012.
- CDC. Youth Risk Behavior Surveillance System. Available at http://www.cdc.gov/mmwr/PDF/rr/rr5312.pdf.
Obesity among high school students Category: Nutrition, Physical Activity, and Weight Status |
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Demographic Group: | Students in grades 9–12. |
Numerator: | Students in grades 9–12 with a body mass index (BMI) at or above the sex- and age-specific 95th percentile from CDC Growth Charts: United States.1 |
Denominator: | Students in grades 9–12 who answer height, weight, sex and age questions. YRBSS self-reported height and weight are edited for plausibility. Age- and sex-specific weight, height, and BMI cutpoints are used to exclude implausible values. Details can be found at ftp://ftp.cdc.gov/pub/data/YRBS/2011/YRBS_2011_National_User_Guide.pdf starting on page 3. Details on editing for plausibility start on page 5. |
Measures of Frequency: | Biennial (odd years) prevalence with 95% confidence interval; and by demographic characteristics when feasible. |
Time Period of Case Definition: | Current. |
Background: | In 2011, 13.0% of students in grades 9–12 were obese.2 The prevalence of obesity among high school students has not changed significantly since 2003 based on self-reported data.2 In 2011, the state-specific prevalence of obesity ranged from 7.3% to 17.0% based on self-reported YRBS data.2 |
Significance: | Obese children are more likely to have high blood pressure, high cholesterol, impaired glucose tolerance, asthma, joint problems, and other physical, social, and psychological problems.3 Obese children are more likely to become obese adults, which increases the risk for multiple chronic diseases in adulthood, including heart disease, stroke, hypertension, type 2 diabetes, osteoarthritis, and certain cancers.3 |
Limitations of Indicator: | Self-reported data underestimate obesity prevalence among adolescents.4 |
Data Resources: | Youth Risk Behavior Surveillance System (YRBSS). |
Limitations of Data Resources: | As with all data from self-reported sample surveys, YRBSS data might be subject to systematic error resulting from noncoverage (e.g., no participation by certain schools), nonresponse (e.g., refusal to participate in the survey or to answer specific questions), or measurement (e.g., social desirability or recall bias). YRBSS data only apply to youth who are attending school, and thus may not be representative of all persons in this age group.5 Results are not available from every state because some states do not participate in the YRBSS. Moreover, some states that do participate do not achieve a high enough overall response rate to receive weighted data, and are therefore not included in the results. |
Related Indicators or Recommendations: | Healthy People 2020 Objective NWS-10: Reduce the proportion of children and adolescents who are considered obese. (NWS-10.4 is specific for adolescents aged 12–19 years.) |
Related CDI Topic Area: | Asthma; Arthritis; Cancer; Cardiovascular Disease; Diabetes; School Health |
- Kuczmarksi RJ, Ogden CL, Grummer-Strawn LM, et al. CDC growth charts: United States. Washington, DC: US Department of Health and Human Services, CDC, National Center for Health Statistics. Advance data; December 4, 2000 (revised). Publication no. 314. http://www.cdc.gov/nchs/data/ad/ad314.pdf
- Centers for Disease Control and Prevention, Youth on line: high school YRBS. Atlanta, GA: U.S. Department of Health and Human Services. Available at http://apps.nccd.cdc.gov/youthonline/App/Default.aspx.
- Centers for Disease Control and Prevention, Basics about childhood obesity. Atlanta, GA: U.S. Department of Health and Human Services. Available at http://www.cdc.gov/obesity/childhood/basics.html.
- Sherry B, Jefferds ME, Grummer-Strawn LM. Accuracy of adolescent self-report of height and weight in assessing overweight status: a literature review. Arch Pediatr Adolesc Med. 2007 Dec;161(12):1154-61.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
Overweight or obesity among high school students Category: Nutrition, Physical Activity, and Weight Status |
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Demographic Group: | Students in grades 9–12. |
Numerator: | Students in grades 9–12 with a body mass index (BMI) at or above the sex- and age-specific 85th percentile from CDC Growth Charts: United States.1 |
Denominator: | Students in grades 9–12 who answer height, weight, sex and age questions. YRBSS self-reported height and weight are edited for plausibility. Age- and sex-specific weight, height, and BMI cutpoints are used to exclude implausible values. Details can be found at ftp://ftp.cdc.gov/pub/data/YRBS/2011/YRBS_2011_National_User_Guide.pdf starting on page 3. Details on editing for plausibility start on page 5. |
Measures of Frequency: | Biennial (odd years) prevalence with 95% confidence interval; and by demographic characteristics when feasible. |
Time Period of Case Definition: | Current. |
Background: | In 2011, 15.2% of students in grades 9–12 were overweight and 13.0% were obese based on self-reported data.2 The prevalence of overweight and obesity among high school students has not changed significantly since 2003.2 The state-specific prevalence of overweight ranged from 10.7% to 19.5%. The state-specific prevalence of obesity ranged from 7.3% to 17.0%.2 |
Significance: | Obese children are more likely to have high blood pressure, high cholesterol, impaired glucose tolerance, asthma, joint problems, and other physical, social, and psychological problems.3 Obese children are more likely to become obese adults, which increases the risk for multiple chronic diseases in adulthood, including heart disease, stroke, hypertension, type 2 diabetes, osteoarthritis, and certain cancers.3 |
Limitations of Indicator: | Self-reported data underestimate obesity prevalence among adolescents.4 |
Data Resources: | Youth Risk Behavior Surveillance System (YRBSS). |
Limitations of Data Resources: | As with all data from self-reported sample surveys, YRBSS data might be subject to systematic error resulting from noncoverage (e.g., no participation by certain schools), nonresponse (e.g., refusal to participate in the survey or to answer specific questions), or measurement (e.g., social desirability or recall bias). YRBSS data only apply to youth who are attending school, and thus may not be representative of all persons in this age group.5 Results are not available from every state because some states do not participate in the YRBSS. Moreover, some states that do participate do not achieve a high enough overall response rate to receive weighted data, and are therefore not included in the results. |
Related Indicators or Recommendations: | Healthy People 2020 Objective NWS-10: Reduce the proportion of children and adolescents who are considered obese. (NWS-10.4 is specific for adolescents aged 12–19 years.) |
Related CDI Topic Area: | Asthma; Arthritis; Cancer; Cardiovascular Disease; Diabetes; School Health |
- Kuczmarksi RJ, Ogden CL, Grummer-Strawn LM, et al. CDC growth charts: United States. Washington, DC: US Department of Health and Human Services, CDC, National Center for Health Statistics. Advance data; December 4, 2000 (revised). Publication no. 314. http://www.cdc.gov/nchs/data/ad/ad314.pdf
- Centers for Disease Control and Prevention, Youth on line: high school YRBS. Atlanta, GA: U.S. Department of Health and Human Services. Available at http://apps.nccd.cdc.gov/youthonline/App/Default.aspx.
- Centers for Disease Control and Prevention, Basics about childhood obesity. Atlanta, GA: U.S. Department of Health and Human Services. Available at http://wwwdev.cdc.gov/obesity/childhood/basics.html.
- Sherry B, Jefferds ME, Grummer-Strawn LM. Accuracy of adolescent self-report of height and weight in assessing overweight status: a literature review. Arch Pediatr Adolesc Med. 2007 Dec;161(12):1154-61.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- Eaton, D. K., et al. (2012). Youth risk behavior surveillance – United States, 2011. MMWR Surveill Summ 61(4): 1-162.
- Malik, V. S., et al. (2013). Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr 98(4): 1084-1102.
- Sohn W, Burt BA, Sowers MR. Carbonated soft drinks and dental caries in the primary dentition. J Dent Res. 2006;85(3):262-266.
- Malik VS, Popkin BM, Bray GA, et al. Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis. Diabetes Care. 2010;33(11):2477- 2483.
- Frary CD, Johnson RK, Wang MQ. Children and adolescents’ choices of foods and beverages high in added sugars are associated with intakes of key nutrients and food groups. J Adolesc Health. 2004;34(1):56-63.
- Park, S., et al. (2013). Problem behavior, victimization, and soda intake in high school students. Am J Health Behav 37(3): 414-421.
- Lien L, Lien N, Heyerdahl S, et al. Consumption of soft drinks and hyperactivity, mental distress, and conduct problems among adolescents in Oslo, Norway. Am J Public Health. 2006;96(10):1815-1820.
- Shi Z, Taylor AW, Wittert G, et al. Soft drink consumption and mental health problems among adults in Australia. Public Health Nutr. 2010;13(7):1073-1079.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- Centers for Disease Control and Prevention, Youth on line: high school YRBS. Atlanta, GA: U.S. Department of Health and Human Services. Available at http://apps.nccd.cdc.gov/youthonline/App/Results.aspx?TT=&OUT=&SID=HS&QID=H80&LID=&YID=&LID2=&YID2=&
COL=&ROW1=&ROW2=&HT=&LCT=&FS=&FR=&FG=&FSL=&FRL=&FGL=&PV=&TST=&C1=&
C2=&QP=G&DP=&VA=CI&CS=Y&SYID=&EYID=&SC=&SO= - Dietz, W.H., Gortmaker, S.L. (1985). Do we fatten our children at the television set? Obesity and television viewing in children and adolescents. Pediatrics, 75, 807–812.
- Gortmaker S.L., Must A., Sobol A.M., Peterson K., Colditz G.A., & Dietz W.H. (1996) Television viewing as a cause of increasing obesity among children in the United States, 1986–1990. Archives of Pediatric & Adolescent Medicine, 150, 356–62.
- Crespo C.J., Smith E., Troiano R.P., Bartlett S.J., Macera C.A., Andersen R. E. (2001). Television watching, energy intake, and obesity in U.S. children: results from the third National Health and Nutritional Examination Survey 1988-1994. Arch Pediatr Adolesc Med 155: 360-365.
- Robinson TN, Killen JD. Ethnic and gender differences in the relationships between television viewing and obesity, physical activity and dietary fat intake. J Health Educ. 1995;26(SS2):91-98.
- Coon KA, Goldberg J, Rogers BL, Tucker KL. Relationships between use of television during meals and children’s food consumption patterns. Pediatrics. 2001;107(1):E7.
- Rideout VJ, Foehr UG, Roberts DF. Generation M2: Media in the Lives of 8- to 18-Year-Olds. Menlo Park, CA: Kaiser Family Foundation; 2010.
- American Academy of Pediatrics. Children, adolescents, and television. Pediatrics. 2001;107(2):423-426.
- American Academy of Pediatrics. Policy Statement—Children, Adolescents, Obesity and the Media. Pediatrics. 2011;128(1):201-208.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- Centers for Disease Control and Prevention, Youth on line: high school YRBS. Atlanta, GA: U.S. Department of Health and Human Services. Available at http://apps.nccd.cdc.gov/youthonline/App/Results.aspx?TT=&OUT=&SID=HS&QID=H80&LID=&YID=&LID2=&YID2=&COL=&ROW1=&ROW2=&HT=&LCT=&FS=
&FR=&FG=&FSL=&FRL=&FGL=&PV=&TST=&C1=&C2=&QP=G&DP=&VA=CI&CS=Y&SYID=&EYID=&SC=&SO= - American Academy of Pediatrics. Policy Statement—Children, Adolescents, Obesity and the Media. Pediatrics. 2011;128(1):201-208.
- Rideout VJ, Foehr UG, Roberts DF. GENERATION M2: Media in the Lives of 8- to 18-Year-Olds. Menlo Park, CA: Kaiser Family Foundation; 2010.
- American Academy of Pediatrics. Children, adolescents, and television. Pediatrics. 2001;107(2):423-426.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
Healthy weight among high school students Category: Nutrition, Physical Activity, and Weight Status |
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Demographic Group: | Students in grades 9–12. |
Numerator: | Students in grades 9–12 with a body mass index (BMI) at the sex- and age-specific 5th percentile to less than the 85th percentile from CDC Growth Charts: United States.1 |
Denominator: | Students in grades 9–12 who answer height, weight, sex and age questions. YRBSS self-reported height and weight are edited for plausibility. Age- and sex-specific weight, height, and BMI cutpoints are used to exclude implausible values. Details can be found at ftp://ftp.cdc.gov/pub/data/YRBS/2011/YRBS_2011_National_User_Guide.pdf starting on page 3. Details on editing for plausibility start on page 5. |
Measures of Frequency: | Biennial (odd years) prevalence with 95% confidence interval; and by demographic characteristics when feasible. |
Time Period of Case Definition: | Current. |
Background: | In 2011, 69% of high school students in the United States were healthy weight.2 |
Significance: | Being at healthy weight in adolescence is associated with lower risk of obesity during adulthood.3 |
Limitations of Indicator: | Self-reported data are associated with biased prevalence estimates for weight status.4 |
Data Resources: | Youth Risk Behavior Surveillance System (YRBSS). |
Limitations of Data Resources: | As with all data from self-reported sample surveys, YRBSS data might be subject to systematic error resulting from noncoverage (e.g., no participation by certain schools), nonresponse (e.g., refusal to participate in the survey or to answer specific questions), or measurement (e.g., social desirability or recall bias). YRBSS data only apply to youth who are attending school, and thus may not be representative of all persons in this age group.5 Results are not available from every state because some states do not participate in the YRBSS. Moreover, some states that do participate do not achieve a high enough overall response rate to receive weighted data, and are therefore not included in the results. |
Related Indicators or Recommendations: | Healthy People 2020 Objective NWS-10: Reduce the proportion of children and adolescents who are considered obese (NWS-10.4 is specific for adolescents aged 12–19 years.) |
Related CDI Topic Area: | School Health |
- Kuczmarksi RJ, Ogden CL, Grummer-Strawn LM, et al. CDC growth charts: United States. Washington, DC: US Department of Health and Human Services, CDC, National Center for Health Statistics. Advance data; December 4, 2000 (revised). Publication no. 314. http://www.cdc.gov/nchs/data/ad/ad314.pdf
- Analysis of data from: Centers for Disease Control and Prevention (CDC). Youth Risk Behavior Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2011.
- Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med. Sep 25 1997;337(13):869-873.
- Sherry B, Jefferds ME, Grummer-Strawn LM. Accuracy of adolescent self-report of height and weight in assessing overweight status: a literature review. Arch Pediatr Adolesc Med. 2007 Dec;161(12):1154-61.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- U.S. Departments of Agriculture and Health and Human Services. Dietary Guidelines for Americans, 2010. 7th edition, Washington, DC: U.S. Government Printing Office, December 2010.
- US Department of Health and Human Services, Office of Disease Prevention and Health Promotion. Healthy People 2020. http://www.healthypeople.gov/.
- Centers for Disease Control and Prevention. State Indicator Report on Fruits and Vegetables, 2013. Atlanta, GA: Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, 2013.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- U.S. Departments of Agriculture and Health and Human Services. Dietary Guidelines for Americans, 2010. 7th edition, Washington, DC: U.S. Government Printing Office, December 2010.
- US Department of Health and Human Services, Office of Disease Prevention and Health Promotion. Healthy People 2020. http://www.healthypeople.gov/.
- Centers for Disease Control and Prevention. State Indicator Report on Fruits and Vegetables, 2013. Atlanta, GA: Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, 2013.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
Participation in daily school physical education classes among high school students |
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Demographic Group: | Students in grades 9–12. |
Numerator: | Respondents who answered, “5 days”, to the following question: “In an average week in school when you go to school, how many days do you attend physical education (PE) classes?” |
Denominator: | Students surveyed in grades 9–12. Respondents with missing data were excluded. |
Measures of Frequency: | Biennial (odd years) prevalence with 95% confidence interval; and by demographic characteristics when feasible. |
Time Period of Case Definition: | An average week in school. |
Background: | Physical education is an effective strategy to increase physical activity among young people. In 2011, 31.5% of students went to physical education classes 5 days in an average week when they were in school (i.e., attended physical education classes daily).1 |
Significance: | Among children and adolescents, physical activity can improve bone health, improve cardiorespiratory and muscular fitness, decrease levels of body fat, and reduce symptoms of depression.2 Physical activity patterns established during adolescence might extend into adulthood and affect future chronic disease risk.3 The 2008 Physical Activity Guidelines for Americans states that children and adolescents should do 60 minutes (1 hour) or more of physical activity daily.3 |
Limitations of Indicator: | The indicator does not capture time spent in physical education class nor does it capture time spent physically active in class. |
Data Resources: | Youth Risk Behavior Surveillance System (YRBSS). |
Limitations of Data Resources: | As with all data from self-reported sample surveys, YRBSS data might be subject to systematic error resulting from noncoverage (e.g., no participation by certain schools), nonresponse (e.g., refusal to participate in the survey or to answer specific questions), or measurement (e.g., social desirability or recall bias). YRBSS data only apply to youth who are attending school, and thus may not be representative of all persons in this age group.4 Results are not available from every state because some states do not participate in the YRBSS. Moreover, some states that do participate do not achieve a high enough overall response rate to receive weighted data, and are therefore not included in the results. |
Related Indicators or Recommendations: | Healthy People 2020 Objective PA-4: Increase the proportion of the Nation’s public and private schools that require daily physical education for all students. Healthy People 2020 Objective PA-4.3: Increase the proportion of the Nation’s public and private senior high schools that require daily physical education for all students. Healthy People 2020 Objective PA-5: Increase the proportion of adolescents who participate in daily school physical education. |
Related CDI Topic Area: | School Health |
- Centers for Disease Control and Prevention (CDC). Youth risk behavior surveillance – United States, 2011. MMWR Surveill Summ. 2012 Jun 8;61(4):1-162.
- Physical Activity Guidelines Advisory Committee. Physical Activity Guidelines Advisory Committee Report, 2008. Washington, DC: U.S. Department of Health and Human Services;2008
- U.S. Department of Health and Human Services. 2008 Physical Activity Guidelines for Americans. Washington, DC: U.S. Department of Health and Human Services;2008.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- U.S. Department of Health and Human Services. 2008 Physical Activity Guidelines for Americans. Washington, DC: U.S. Department of Health and Human Services;2008.
- Centers for Disease Control and Prevention (CDC). Youth risk behavior surveillance – United States, 2011. MMWR Surveill Summ. 2012 Jun 8;61(4):1-162.
- Physical Activity Guidelines Advisory Committee. Physical Activity Guidelines Advisory Committee Report, 2008. Washington, DC: U.S. Department of Health and Human Services;2008.
- CDC. Youth Risk Behavior Surveillance—United States, 2011. MMWR 2012;61(No. SS-4).
- National Survey of Children’s Health. NSCH 2011/2012. Data query from the Child and Adolescent Health Measurement Initiative, Data Resource Center for Child and Adolescent Health website. Available: www.childhealthdata.org. Accessed: March 4, 2014.
- Institute of Medicine, National Research Council. Improving Access to Oral Health Care for Vulnerable and Underserved Populations. 2011. Available at: http://www.iom.edu/Reports/2011/Improving-Access-to-Oral-Health-Care-for-Vulnerable-and-Underserved-Populations.aspx. Accessed: July 10, 2013.
- American Academy of Pediatric Dentistry. Guideline on periodicity of examination, preventive dental services, anticipatory guidance/counseling, and oral treatment for infants, children, and adolescents. Available from: http://www.aapd.org/media/Policies_Guidelines/G_Periodicity.pdf. Accessed: September 25, 2013.
- Hale K. J., American Academy of Pediatrics Section on Pediatric Dentistry. Oral health risk assessment timing and establishment of the dental home. Pediatrics. 2003;111(5 Pt 1):1113-1116.
- American Dental Association. For the dental patient: baby’s first teeth. J Am Dent Assoc. 2002;133:255.
- American Association of Public Health Dentistry. First oral health assessment policy. 2004. Available: http://aaphd.org/default.asp?page=FirstHealthPolicy.htm. Accessed: September 25, 2013.
- Lee JY, Bouwens TJ, Savage MF, Vann WF Jr. Examining the cost-effectiveness of early dental visits. Pediatr Dent. 2006;28:102-5.
- The Pew Center on the States. A costly dental destination – Hospital care means states pay dearly. 2012. Available: http://www.pewstates.org/uploadedFiles/PCS_Assets/2012/A%20Costly%20Dental%20Destination(1).pdf. Accessed: September 25, 2013.
- National Survey of Children’s Health. NSCH 2011/2012. Data query from the Child and Adolescent Health Measurement Initiative, Data Resource Center for Child and Adolescent Health website. Available: www.childhealthdata.org. Accessed: March 4, 2014.
- Savage MF, Lee JY, Kotch JB, Vann WF. Early preventive dental visits: Effects on subsequent utilization and costs. Pediatrics 2004;114(4):e418-e423.
- Ramos-Gomez FJ, Shepard DS. Cost-effectiveness model for the prevention of early childhood caries. J Calif Dent Assoc 1999;27(7):539-544.
- National Resource Center for Health and Safety in Child Care and Early Education. 2012. Achieving a state of healthy weight: 2011 update. Aurora, CO: University of Colorado Denver. Also available at http://nrckids.org
- U.S. Departments of Agriculture and Health and Human Services. Dietary Guidelines for Americans, 2010. 7th edition, Washington, DC: U.S. Government Printing Office, December 2010.
- American Academy of Pediatrics, American Public Health Association, National Resource Center for Health and Safety in Child Care and Early Education. 2011. Caring for our children: National health and safety performance standards; Guidelines for early care and education programs. 3rd edition. Elk Grove Village, IL: American Academy of Pediatrics; Washington, DC: American Public Health Association. Also available at http://nrckids.org.
- O’Toole T, Anderson S, Miller C, Guthrie J. Nutrition services and foods and beverages available at school: results from the School Health Policies and Programs Study. Journal of School Health 2007;77(8):500-521.
- U.S. Department of Agriculture. Foods sold in competition with USDA school meal programs: a report to congress. Food and Nutrition Service, 2001. Available at: www.fns.usda.gov/cnd/lunch/_private/CompetitiveFoods/report_congress.htm. Accessed June 11, 2009.
- Brener ND, Kann L, O’Toole TP, Wechsler H, Kimmons J. Competitive foods and beverages available for purchase in secondary schools – selected sites, United States, 2006. MMWR 2008;57(34):935-938.
- U.S. Government Accountability Office. School meal programs: Competitive foods are widely available and generate substantial revenues. Report to Congressional Requesters GAO-05-563, 2005. Available at: www.gao.gov/new.items/d05563.pdf. Accessed June 12, 2009.
- Fox MK, Gordon A, Nogales R, Wilson A. Availability and consumption of competitive foods in US public schools. Journal of the American Dietetic Association 2009a;109:S57-S66.
- Food and Nutrition Board, Institute of Medicine, Committee on Prevention of Obesity of Children and Youth–Schools. In: JP Koplan, CT Liverman, VI Kraak, eds. Preventing Childhood Obesity: Health in the Balance. Washington, DC: National Academy Press, 2005, pp. 237–284.
- Wechsler H, McKenna ML, Lee SM, Dietz WH. The role of schools in preventing childhood obesity. The State Education Standard 2004;5(2):4-12.
- American Dietetic Association. Position of the American Dietetic Association: local support for nutrition integrity in schools. Journal of the American Dietetic Association 2010;110(8):1244-1254.(1):122-33.
- Institute of Medicine. Nutrition Standards for Foods in Schools: Leading the Way Toward Healthier Youth. Washington, DC: Institute of Medicine of the National Academies, 2007.
- Fox MK, Dodd AH, Wilson A, Gleason PM. Association between school food environment and practices and body mass index of US public school children. Journal of the American Dietetic Association 2009b;109(2 suppl):S108–S17.
- Briefel RR, Crepinsek MK, Cabili C, Wilson A, Gleason PM. School food environments and practices affect dietetic behaviors of US public school children. Journal of the American Dietetic Association 2009;109 (Suppl 1):S91–S107.
- Story M, Nanney MS, and Schwartz MB. Schools and obesity prevention: creating school environments and policies to promote healthy eating and physical activity. Milbank Quarterly 2009; 87(1):71-100.
- Demissie Z, Brener ND, McManus T, Shanklin SL, Hawkins J, Kann L. School Health Profiles 2012: Characteristics of Health Programs Among Secondary Schools. Atlanta: Centers for Disease Control and Prevention; 2013.
- Welsh JA, Sharma A, Abramson JL, Vaccarino V, Gillespie C, Vos MB. Caloric sweetener consumption and dyslipidemia among US adults. JAMA 2010;303:1490–7.
- Welsh JA, Sharma A, Cunningham SA, Vos MB. Consumption of added sugars and indicators of cardiovascular disease risk among US adolescents. Circulation 2011;123(3):249–57.
- Marshall TA, Levy SM, Broffitt B, Warren JJ, Eichenberger-Gilmore JM, Burns TL, Stumbo PJ. Dental caries and beverage consumption in young children. Pediatrics 2003;112:e184–91.
- Ismail AI, Burt BA, Eklund SA. The cariogenicity of soft drinks in the United States. J Am Dent Assoc 1984;109:241–5.
- Heller KE, Burt BA, Eklund SA. Sugared soda consumption and dental caries in the United States. J Dent Res 2001;80:1949–53.
- Malik VS, Hu FB. Sweeteners and risk of obesity and type 2 diabetes: the role of sugar-sweetened beverages. Curr Diab Rep (Epub ahead of print 31 January 2012).
- Malik V, Popkin BM, Bray GA, Despres JP, Hu FB. Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation 2010;121:1356–64.
- Kit B, Fakhouri TH, Park S, Nielson SJ, Ogen C. Trends in Sugar-sweetened beverage consumption among youth and adults in the united states: 1999-2010. Am J Clin Nutr. 2013;98:180-8.
- O’Toole T, Anderson S, Miller C, Guthrie J. Nutrition services and foods and beverages available at school: results from the School Health Policies and Programs Study. Journal of School Health 2007;77(8):500-521.
- U.S. Department of Agriculture. Foods sold in competition with USDA school meal programs: a report to congress. Food and Nutrition Service, 2001. Available at: www.fns.usda.gov/cnd/lunch/_private/CompetitiveFoods/report_congress.htm. Accessed June 11, 2009.
- Brener ND, Kann L, O’Toole TP, Wechsler H, Kimmons J. Competitive foods and beverages available for purchase in secondary schools – selected sites, United States, 2006. MMWR 2008;57(34):935-938.
- U.S. Government Accountability Office. School meal programs: Competitive foods are widely available and generate substantial revenues. Report to Congressional Requesters GAO-05-563, 2005. Available at: www.gao.gov/new.items/d05563.pdf. Accessed June 12, 2009.
- Fox MK, Gordon A, Nogales R, Wilson A. Availability and consumption of competitive foods in US public schools. Journal of the American Dietetic Association 2009a;109:S57-S66.
- Food and Nutrition Board, Institute of Medicine, Committee on Prevention of Obesity of Children and Youth–Schools. In: JP Koplan, CT Liverman, VI Kraak, eds. Preventing Childhood Obesity: Health in the Balance. Washington, DC: National Academy Press, 2005, pp. 237–284.
- Wechsler H, McKenna ML, Lee SM, Dietz WH. The role of schools in preventing childhood obesity. The State Education Standard 2004;5(2):4-12.
- American Dietetic Association. Position of the American Dietetic Association: local support for nutrition integrity in schools. Journal of the American Dietetic Association 2010;110(8):1244-1254.(1):122-33.
- Institute of Medicine. Nutrition Standards for Foods in Schools: Leading the Way Toward Healthier Youth. Washington, DC: Institute of Medicine of the National Academies, 2007.
- Fox MK, Dodd AH, Wilson A, Gleason PM. Association between school food environment and practices and body mass index of US public school children. Journal of the American Dietetic Association 2009b;109(2 suppl):S108–S17.
- Briefel RR, Crepinsek MK, Cabili C, Wilson A, Gleason PM. School food environments and practices affect dietetic behaviors of US public school children. Journal of the American Dietetic Association 2009;109 (Suppl 1):S91–S107.
- Story M, Nanney MS, and Schwartz MB. Schools and obesity prevention: creating school environments and policies to promote healthy eating and physical activity. Milbank Quarterly 2009; 87(1):71-100.
- Demissie Z, Brener ND, McManus T, Shanklin SL, Hawkins J, Kann L. School Health Profiles 2012: Characteristics of Health Programs Among Secondary Schools. Atlanta: Centers for Disease Control and Prevention; 2013.
- Welsh JA, Sharma A, Abramson JL, Vaccarino V, Gillespie C, Vos MB. Caloric sweetener consumption and dyslipidemia among US adults.
- Welsh JA, Sharma A, Cunningham SA, Vos MB. Consumption of added sugars and indicators of cardiovascular disease risk among US adolescents. Circulation 2011;123(3):249–57.
- Marshall TA, Levy SM, Broffitt B, Warren JJ, Eichenberger-Gilmore JM, Burns TL, Stumbo PJ. Dental caries and beverage consumption in young children. Pediatrics 2003;112:e184–91.
- Ismail AI, Burt BA, Eklund SA. The cariogenicity of soft drinks in the United States. J Am Dent Assoc 1984;109:241–5.
- Heller KE, Burt BA, Eklund SA. Sugared soda consumption and dental caries in the United States. J Dent Res 2001;80:1949–53.
- Malik VS, Hu FB. Sweeteners and risk of obesity and type 2 diabetes: the role of sugar-sweetened beverages. Curr Diab Rep (Epub ahead of print 31 January 2012).
- Malik VS, Popkin BM, Bray GA, Despres JP, Hu FB. Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation 2010;121:1356–64.
- Kit B, Fakhouri TH, Park S, Nielson SJ, Ogen C. Trends in Sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010. Am J Clin Nutr. 2013;98:180-8.
- O’Toole T, Anderson S, Miller C, Guthrie J. Nutrition services and foods and beverages available at school: results from the School Health Policies and Programs Study. Journal of School Health 2007;77(8):500-521.
- U.S. Department of Agriculture. Foods sold in competition with USDA school meal programs: a report to congress. Food and Nutrition Service, 2001. Available at: www.fns.usda.gov/cnd/lunch/_private/CompetitiveFoods/report_congress.htm. Accessed June 11, 2009.
- Brener ND, Kann L, O’Toole TP, Wechsler H, Kimmons J. Competitive foods and beverages available for purchase in secondary schools – selected sites, United States, 2006. MMWR 2008;57(34):935-938.
- U.S. Government Accountability Office. School meal programs: Competitive foods are widely available and generate substantial revenues. Report to Congressional Requesters GAO-05-563, 2005. Available at: www.gao.gov/new.items/d05563.pdf. Accessed June 12, 2009.
- Fox MK, Gordon A, Nogales R, Wilson A. Availability and consumption of competitive foods in US public schools. Journal of the American Dietetic Association 2009a;109:S57-S66.
- Food and Nutrition Board, Institute of Medicine, Committee on Prevention of Obesity of Children and Youth–Schools. In: JP Koplan, CT Liverman, VI Kraak, eds. Preventing Childhood Obesity: Health in the Balance. Washington, DC: National Academy Press, 2005, pp. 237–284.
- Wechsler H, McKenna ML, Lee SM, Dietz WH. The role of schools in preventing childhood obesity. The State Education Standard 2004;5(2):4-12.
- American Dietetic Association. Position of the American Dietetic Association: local support for nutrition integrity in schools. Journal of the American Dietetic Association 2010;110(8):1244-1254.(1):122-33.
- Institute of Medicine. Nutrition Standards for Foods in Schools: Leading the Way Toward Healthier Youth. Washington, DC: Institute of Medicine of the National Academies, 2007.
- Fox MK, Dodd AH, Wilson A, Gleason PM. Association between school food environment and practices and body mass index of US public school children. Journal of the American Dietetic Association 2009b;109(2 suppl):S108–S17.
- Briefel RR, Crepinsek MK, Cabili C, Wilson A, Gleason PM. School food environments and practices affect dietetic behaviors of US public school children. Journal of the American Dietetic Association 2009;109 (Suppl 1):S91–S107.
- Cullen KW, Eagan J, Baranowski T, Owens E, deMoor C. Effect of a la carte and snack bar foods at school on children’s lunchtime intake of fruits and vegetables. Journal of the American Dietetic Association 2000;100:1482–1486.
- Kubik MY, Lytle LA, Hannan PJ, Perry CL, Story M. The association of the school food environment with dietary behaviors of young adolescents. American Journal of Public Health 2003;93:1168–1173.
- French SA, Story M, Fulkerson JA, Hannan P. An environmental intervention to promote lower fat food choices in secondary schools. Outcomes of the TACOS study. American Journal of Public Health 2004;94(9):1507-1512.
- Gonzalez W, Jones SJ, Frongillo EA. Restricting snacks in US elementary schools is associated with higher frequency of fruit and vegetable consumption. Journal of Nutrition 2009;139:142-4.
- Story, M, Nanney MS, and Schwartz MB. Schools and obesity prevention: creating school environments and policies to promote healthy eating and physical activity. Milbank Quarterly 2009; 87(1):71-100.
- Demissie Z, Brener ND, McManus T, Shanklin SL, Hawkins J, Kann L. School Health Profiles 2012: Characteristics of Health Programs Among Secondary Schools. Atlanta: Centers for Disease Control and Prevention; 2013.
- CDC. Guidelines for school health programs to prevent tobacco use and addiction. MMWR 1994;43(RR-2):1–18.
- US Department of Health and Human Services. Preventing tobacco use among youth and young adults. Atlanta, GA: US Department of Health and Human Services, CDC; 2012. Available at http://www.cdc.gov/tobacco/data_statistics/sgr/2012/index.htm.
- CDC. Vital Signs: Nonsmokers Exposure to Secondhand Smoke – United States, 1999-2008. MMWR 2010;59(35):1141-1146.
- U.S. Department of Health and Human Services. The health consequences of involuntary exposure to tobacco smoke: a report of the Surgeon General. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Coordinating Center for Health Promotion, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2006.
- CDC. School Health Guidelines to Promote Healthy Eating and Physical Activity. MMWR 2011;60(5):1-75.
- Sallis JF, Conway TL, Prochaska JJ, et al. The association of school environments with youth physical activity. American Journal of Public Health 2001;1:618-20.
- Evenson KR, McGinn AP. Availability of school physical activity facilities to the public in four U.S. communities. American Journal of Health Promotion 2004;18:243-50.
- Choy LB, McGurk MD, Tamashiro R, Nett B, Maddock JE. Increasing access to places for physical activity through a joint use agreement: a case study in urban Honolulu. Preventing Chronic Disease 2008;5.
- Demissie Z, Brener ND, McManus T, Shanklin SL, Hawkins J, Kann L. School Health Profiles 2012: Characteristics of Health Programs Among Secondary Schools. Atlanta: Centers for Disease Control and Prevention; 2013.
- US Department of Health and Human Services. Physical activity guidelines for Americans, 2008. Washington, DC: US Department of Health and Human Services; 2008.
- Page last reviewed: May 11, 2017
- Page last updated: May 11, 2017
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