Youth Risk Behavior Surveillance - United States, 2017

Laura Kann, Tim McManus, William A Harris, Shari L Shanklin, Katherine H Flint, Barbara Queen, Richard Lowry, David Chyen, Lisa Whittle, Jemekia Thornton, Connie Lim, Denise Bradford, Yoshimi Yamakawa, Michelle Leon, Nancy Brener, Kathleen A Ethier, Laura Kann, Tim McManus, William A Harris, Shari L Shanklin, Katherine H Flint, Barbara Queen, Richard Lowry, David Chyen, Lisa Whittle, Jemekia Thornton, Connie Lim, Denise Bradford, Yoshimi Yamakawa, Michelle Leon, Nancy Brener, Kathleen A Ethier

Abstract

Problem: Health-risk behaviors contribute to the leading causes of morbidity and mortality among youth and adults in the United States. In addition, significant health disparities exist among demographic subgroups of youth defined by sex, race/ethnicity, and grade in school and between sexual minority and nonsexual minority youth. Population-based data on the most important health-related behaviors at the national, state, and local levels can be used to help monitor the effectiveness of public health interventions designed to protect and promote the health of youth at the national, state, and local levels.

Reporting period covered: September 2016-December 2017.

Description of the system: The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health-related behaviors among youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and other drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human immunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors the prevalence of other health-related behaviors, obesity, and asthma. YRBSS includes a national school-based Youth Risk Behavior Survey (YRBS) conducted by CDC and state and large urban school district school-based YRBSs conducted by state and local education and health agencies. Starting with the 2015 YRBSS cycle, a question to ascertain sexual identity and a question to ascertain sex of sexual contacts were added to the national YRBS questionnaire and to the standard YRBS questionnaire used by the states and large urban school districts as a starting point for their questionnaires. This report summarizes results from the 2017 national YRBS for 121 health-related behaviors and for obesity, overweight, and asthma by demographic subgroups defined by sex, race/ethnicity, and grade in school and by sexual minority status; updates the numbers of sexual minority students nationwide; and describes overall trends in health-related behaviors during 1991-2017. This reports also summarizes results from 39 state and 21 large urban school district surveys with weighted data for the 2017 YRBSS cycle by sex and sexual minority status (where available).

Results: Results from the 2017 national YRBS indicated that many high school students are engaged in health-risk behaviors associated with the leading causes of death among persons aged 10-24 years in the United States. During the 30 days before the survey, 39.2% of high school students nationwide (among the 62.8% who drove a car or other vehicle during the 30 days before the survey) had texted or e-mailed while driving, 29.8% reported current alcohol use, and 19.8% reported current marijuana use. In addition, 14.0% of students had taken prescription pain medicine without a doctor's prescription or differently than how a doctor told them to use it one or more times during their life. During the 12 months before the survey, 19.0% had been bullied on school property and 7.4% had attempted suicide. Many high school students are engaged in sexual risk behaviors that relate to unintended pregnancies and STIs, including HIV infection. Nationwide, 39.5% of students had ever had sexual intercourse and 9.7% had had sexual intercourse with four or more persons during their life. Among currently sexually active students, 53.8% reported that either they or their partner had used a condom during their last sexual intercourse. Results from the 2017 national YRBS also indicated many high school students are engaged in behaviors associated with chronic diseases, such as cardiovascular disease, cancer, and diabetes. Nationwide, 8.8% of high school students had smoked cigarettes and 13.2% had used an electronic vapor product on at least 1 day during the 30 days before the survey. Forty-three percent played video or computer games or used a computer for 3 or more hours per day on an average school day for something that was not school work and 15.4% had not been physically active for a total of at least 60 minutes on at least 1 day during the 7 days before the survey. Further, 14.8% had obesity and 15.6% were overweight. The prevalence of most health-related behaviors varies by sex, race/ethnicity, and, particularly, sexual identity and sex of sexual contacts. Specifically, the prevalence of many health-risk behaviors is significantly higher among sexual minority students compared with nonsexual minority students. Nonetheless, analysis of long-term temporal trends indicates that the overall prevalence of most health-risk behaviors has moved in the desired direction.

Interpretation: Most high school students cope with the transition from childhood through adolescence to adulthood successfully and become healthy and productive adults. However, this report documents that some subgroups of students defined by sex, race/ethnicity, grade in school, and especially sexual minority status have a higher prevalence of many health-risk behaviors that might place them at risk for unnecessary or premature mortality, morbidity, and social problems (e.g., academic failure, poverty, and crime).

Public health action: YRBSS data are used widely to compare the prevalence of health-related behaviors among subpopulations of students; assess trends in health-related behaviors over time; monitor progress toward achieving 21 national health objectives; provide comparable state and large urban school district data; and take public health actions to decrease health-risk behaviors and improve health outcomes among youth. Using this and other reports based on scientifically sound data is important for raising awareness about the prevalence of health-related behaviors among students in grades 9-12, especially sexual minority students, among decision makers, the public, and a wide variety of agencies and organizations that work with youth. These agencies and organizations, including schools and youth-friendly health care providers, can help facilitate access to critically important education, health care, and high-impact, evidence-based interventions.

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State and large urban school district Youth Risk Behavior Surveys — United States, 2017

References

    1. CDC WONDER Online Database. Underlying cause of death, 1999–2016. Multiple cause of death files, 1999–2016. Hyattsville, MD: National Center for Health Statistics, CDC, US Department of Health and Human Services; 2017.
    1. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: final data for 2016. Natl Vital Stat Rep 2018;67:1–54.
    1. CDC. Sexually transmitted disease surveillance 2016. Atlanta, GA: US Department of Health and Human Services, CDC; 2017.
    1. CDC. HIV surveillance report, 2016 (vol 28). Atlanta, GA: US Department of Health and Human Services, CDC; 2017.
    1. Institute of Medicine. The health of lesbian, gay, bisexual, and transgender people: building a foundation for better understanding. Washington, DC: The National Academies Press; 2011.
    1. Coker TR, Austin SB, Schuster MA. The health and health care of lesbian, gay, and bisexual adolescents. Annu Rev Public Health 2010;31:457–77. 10.1146/annurev.publhealth.012809.103636
    1. Mayer KH, Bradford JB, Makadon HJ, Stall R, Goldhammer H, Landers S. Sexual and gender minority health: what we know and what needs to be done. Am J Public Health 2008;98:989–95. 10.2105/AJPH.2007.127811
    1. Robin L, Brener ND, Donahue SF, Hack T, Hale K, Goodenow C. Associations between health risk behaviors and opposite-, same-, and both-sex sexual partners in representative samples of Vermont and Massachusetts high school students. Arch Pediatr Adolesc Med 2002;156:349–55. 10.1001/archpedi.156.4.349
    1. Pathela P, Schillinger JA. Sexual behaviors and sexual violence: adolescents with opposite-, same-, or both-sex partners. Pediatrics 2010;126:879–86. 10.1542/peds.2010-0396
    1. Saewyc EM, Bauer GR, Skay CL, et al. Measuring sexual orientation in adolescent health surveys: evaluation of eight school-based surveys. J Adolesc Health 2004;35:345.e1–15. 10.1016/j.jadohealth.2004.06.002
    1. Savin-Williams RC. A critique of research on sexual-minority youths. J Adolesc 2001;24:5–13. 10.1006/jado.2000.0369
    1. Kann L, Olsen EO, McManus T, et al. Sexual identity, sex of sexual contacts, and health-related behaviors among students in grades 9–12—United States and selected sites, 2015. MMWR Surveill Summ 2016;65(No. SS-9). 10.15585/mmwr.ss6509a1
    1. Brener ND, Kann L, Shanklin S, et al.. Methodology of the youth risk behavior surveillance system—2013. MMWR Recomm Rep 2013;62(No. RR-1).
    1. Kann L, Olsen EO, McManus T, et al.. Sexual identity, sex of sexual contacts, and health-risk behaviors among students in grades 9-12—youth risk behavior surveillance, selected sites, United States, 2001–2009. MMWR Surveill Summ 2011;60(No. SS-7).
    1. Kann L, McManus T, Harris WA, et al. Youth risk behavior surveillance—United States, 2015. MMWR Surveill Summ 2016;65(No. SS-6).
    1. Market Data Retrieval. National education database master extract. Shelton, CT: Market Data Retrieval; 2016.
    1. US Department of Education, National Center for Education Statistics. Common core of data public elementary/secondary school universe survey: school year 2013–14. Washington, DC: US Department of Education, National Center for Education Statistics.
    1. Brener ND, Kann L, McManus T, Kinchen SA, Sundberg EC, Ross JG. Reliability of the 1999 youth risk behavior survey questionnaire. J Adolesc Health 2002;31:336–42. 10.1016/S1054-139X(02)00339-7
    1. Brener ND, Mcmanus T, Galuska DA, Lowry R, Wechsler H. Reliability and validity of self-reported height and weight among high school students. J Adolesc Health 2003;32:281–7. 10.1016/S1054-139X(02)00708-5
    1. Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, et al. CDC growth charts: United States. Advance Data. Vital Health Stat, No. 314. Hyattsville, MD: National Center for Health Statistics, CDC; 2000.
    1. SAS Institute, Inc. SAS, version 9.3 [software and documentation]. Cary, NC: SAS Institute; 2010.
    1. Research Triangle Institute. SUDAAN, version 11.0.1 [software and documentation]. Research Triangle Park, NC: Research Triangle Institute; 2013.
    1. Hinkle DE, Wiersma W, Jurs SG. Applied statistics for the behavioral sciences. 5th ed. Boston, MA: Houghton Mifflin Co; 2003.
    1. National Cancer Institute. Joinpoint trend analysis software, version 3.5 [software and documentation]. Bethesda, MD: National Cancer Institute; 2013.
    1. Snyder TD, de Brey C, Dillow SA. Digest of education statistics, 2015. Pub No. 2016–014. National Center for Education Statistics, Institute of Education Sciences, US Department of Education: Washington, DC; 2016.
    1. Gates GJ. LGBT data collection amid social and demographic shifts of the U.S. LGBT community. Am J Public Health 2017;107:1220–2. 10.2105/AJPH.2017.303927
    1. Ali MK, Bullard KM, Beckles GL, et al. Household income and cardiovascular disease risks in U.S. children and young adults: analyses from NHANES 1999–2008. Diabetes Care 2011;34:1998–2004. 10.2337/dc11-0792
    1. US Department of Health and Human Services. Healthy people 2020. Washington, DC. US Department of Health and Human Services.
    1. Kann L, Kinchen S, Shanklin SL, et al.. Youth risk behavior surveillance—United States, 2013. MMWR Surveill Summ 2014;63(No. SS-4).
    1. CDC. Registries of programs effective in reducing youth risk behaviors. Atlanta, GA: US Department of Health and Human Services, CDC.
    1. Espelage DL, Aragon SR, Birkett M, Koenig BW Homophobic teasing, psychological outcomes, and sexual orientation among high school students: What influence do parents and schools have? School Psych Rev 2008;37:202–16.
    1. Goodenow C, Szalacha L, Westheimer K. School support groups, other school factors, and the safety of sexual minority adolescents. Psychol Sch 2006;43:573–89. 10.1002/pits.20173
    1. Saewyc EM, Konishi C, Rose HA, Homma Y. School-based strategies to reduce suicidal ideation, suicide attempts, and discrimination among sexual minority and heterosexual adolescents in Western Canada. Int J Child Youth Fam Stud 2014;5:89–112. 10.18357/ijcyfs.saewyce.512014
    1. CDC. State health profiles. Atlanta, GA: US Department of Health and Human Services, CDC.
    1. Holt JB, Huston SL, Heidari K, et al. Indicators for chronic disease surveillance—United States, 2013. MMWR Recomm Rep 2015;64(No. RR-1).
    1. Federal Interagency Forum on Child and Family Statistics. America’s children: key national indicators of well-being. Washington, DC: US Government Printing Office; 2017.
    1. CDC. Prevention status reports. Atlanta, GA: US Department of Health and Human Services, CDC.
    1. Musu-Gillette L, Zhang A, Wang K, Zhang J, Oudekerk BA. Indicators of school crime and safety: 2016. Pub Nos. NCES 2017–064 and NCJ 250650. Washington, DC: National Center for Education Statistics, US Department of Education, and Bureau of Justice Statistics, Office of Justice Programs, US Department of Justice; 2017.
    1. CDC. Nutrition, physical activity, and obesity: data, trends, and maps. Atlanta, GA: US Department of Health and Human Services, CDC.
    1. McFarland J, Stark P, Cui J. Trends in high school dropout and completion rates in the United States: 2013. Pub. No. NCES 2016–117). Washington, DC: US Department of Education, National Center for Education Statistics; 2016.
    1. Burton CM, Marshal MP, Chisolm DJ. School absenteeism and mental health among sexual minority youth and heterosexual youth. J Sch Psychol 2014;52:37–47. 10.1016/j.jsp.2013.12.001

Source: PubMed

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