Last data update: Mar 17, 2025. (Total: 48910 publications since 2009)
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Overview and methods for the Youth Risk Behavior Surveillance System - United States, 2023
Brener ND , Mpofu JJ , Krause KH , Everett Jones S , Thornton JE , Myles Z , Harris WA , Chyen D , Lim C , Arrey L , Mbaka CK , Trujillo L , Shanklin SL , Smith-Grant J , Whittle L , McKinnon II , Washington M , Queen BE , Roberts AM . MMWR Suppl 2024 73 (4) 1-12 The Youth Risk Behavior Surveillance System (YRBSS) is a set of surveys that tracks a broad range of behaviors, experiences, and conditions that can lead to poor health among high school students. The system includes a nationally representative Youth Risk Behavior Survey (YRBS) and separate school-based YRBSs conducted by states, tribes, territories, and local school districts. For the 2023 national YRBS, CDC made changes to the sampling method, survey administration mode, and questionnaire. Specifically, the sampling design added an American Indian or Alaska Native (AI/AN) supplemental sample so that separate, precise estimates could be made for AI/AN high school students, in addition to the usual sample designed to provide nationally representative data for the population of students in grades 9-12. To decrease the time needed to collect and process data, CDC changed the survey administration mode from paper-and-pencil scannable booklets to a tablet-based electronic survey. To provide national data on topics of emerging interest, CDC added new questions to the questionnaire. These new questions assessed social media use, experiences of racism at school, adverse childhood experiences, transgender identity, consent for sexual contact, and unfair discipline at school. Public health practitioners and researchers can use YRBSS data to examine the prevalence of youth health behaviors, experiences, and conditions; monitor trends; and guide interventions. This overview report describes 2023 YRBSS survey methodology, including sampling, data collection, data processing, weighting, and data analyses. The 2023 YRBS participation map, survey response rates, and a detailed examination of student demographic characteristics are included in this report. During 2023, in addition to the national YRBS, 68 site-level surveys were administered to high school students in 39 states, three tribal governments, five territories, and 21 local school districts. These site-level surveys use site-specific questionnaires that are similar to the national YRBS questionnaire but are modified to meet sites' needs. This overview and methods report is one of 11 featured in this MMWR supplement, which reports results from the 2023 national YRBS but does not include data from the 68 site-level surveys. Each report is based on data collected using methods presented in this overview report. A full description of YRBSS results and downloadable data are available (https://www.cdc.gov/yrbs/index.html). |
Overview and methods for the youth risk behavior surveillance system - United States, 2021
Mpofu JJ , Underwood JM , Thornton JE , Brener ND , Rico A , Kilmer G , Harris WA , Leon-Nguyen M , Chyen D , Lim C , Mbaka CK , Smith-Grant J , Whittle L , Jones SE , Krause KH , Li J , Shanklin SL , McKinnon I , Arrey L , Queen BE , Roberts AM . MMWR Suppl 2023 72 (1) 1-12 The Youth Risk Behavior Surveillance System (YRBSS) is the largest public health surveillance system in the United States, monitoring a broad range of health-related behaviors among high school students. The system includes a nationally representative Youth Risk Behavior Survey (YRBS) and separate school-based YRBSs conducted by states, tribes, territories, and local school districts. In 2021, these surveys were conducted during the COVID-19 pandemic. The pandemic underscored the importance of data in understanding changes in youth risk behaviors and addressing the multifaceted public health needs of youths. This overview report describes 2021 YRBSS survey methodology, including sampling, data collection procedures, response rates, data processing, weighting, and analyses. The 2021 YRBS participation map, survey response rates, and a detailed examination of student demographic characteristics are included in this report. During 2021, in addition to the national YRBS, a total of 78 surveys were administered to high school students across the United States, representing the national population, 45 states, two tribal governments, three territories, and 28 local school districts. YRBSS data from 2021 provided the first opportunity since the onset of the COVID-19 pandemic to compare youth health behaviors using long-term public health surveillance. Approximately half of all student respondents represented racial and ethnic minority groups, and approximately one in four identified as lesbian, gay, bisexual, questioning, or other (a sexual identity other than heterosexual) (LGBQ+). These findings reflect shifts in youth demographics, with increased percentages of racial and ethnic minority and LGBQ+ youths compared with previous YRBSS cycles. Educators, parents, local decision makers, and other partners use YRBSS data to monitor health behavior trends, guide school health programs, and develop local and state policy. These and future data can be used in developing health equity strategies to address long-term disparities so that all youths can thrive in safe and supportive environments. This overview and methods report is one of 11 featured in this MMWR supplement. Each report is based on data collected using methods presented in this overview. A full description of YRBSS results and downloadable data are available (https://www.cdc.gov/healthyyouth/data/yrbs/index.htm). |
Overview and methodology of the Adolescent Behaviors and Experiences Survey - United States, January-June 2021
Rico A , Brener ND , Thornton J , Mpofu JJ , Harris WA , Roberts AM , Kilmer G , Chyen D , Whittle L , Leon-Nguyen M , Lim C , Saba A , Bryan LN , Smith-Grant J , Underwood JM . MMWR Suppl 2022 71 (3) 1-7 Many U.S. schools closed nationwide in March 2020 to prevent the spread of COVID-19. School closures and online-only instruction have negatively affected certain students, with studies showing adverse effects of the pandemic on mental health. However, little is known about other experiences such as economic and food insecurity and abuse by a parent, as well as risk behaviors such as alcohol and drug use among youths across the United States during the pandemic. To address this gap, CDC developed the one-time, online Adolescent Behaviors and Experiences Survey (ABES), which was conducted during January-June 2021 to assess student behaviors and experiences during the COVID-19 pandemic among high school students, including unintentional injury, violence, tobacco product use, sexual behaviors, and dietary behaviors. This overview report of the ABES MMWR Supplement describes the ABES methodology, including the student questionnaire and administration, sampling, data collection, weighting, and analysis. ABES used a stratified, three-stage cluster probability-based sampling approach to obtain a nationally representative sample of students in grades 9-12 attending public and private schools. Teachers of selected classes provided students with access to the anonymous online survey while following local consent procedures. Data were collected using a 110-item questionnaire during January-June 2021 in 128 schools. A total of 7,998 students submitted surveys, and 7,705 of these surveys had valid data (i.e., ≥20 questions answered). The school response rate was 38%, the student response rate was 48%, and the overall response rate was 18%. Information on mode of instruction and school-provided equipment was also collected from all sampled schools. This overview report provides student- and school-level characteristics obtained from descriptive analyses, and the other reports in the ABES MMWR Supplement include information on substance use, mental health and suicidality, perceived racism, and disruptions to student life among high school students. Findings from ABES during the COVID-19 pandemic can help guide parents, teachers, school administrators, community leaders, clinicians, and public health officials in decision-making for student support and school health programs. |
Overview and methods for the Youth Risk Behavior Surveillance System - United States, 2019
Underwood JM , Brener N , Thornton J , Harris WA , Bryan LN , Shanklin SL , Deputy N , Roberts AM , Queen B , Chyen D , Whittle L , Lim C , Yamakawa Y , Leon-Nguyen M , Kilmer G , Smith-Grant J , Demissie Z , Jones SE , Clayton H , Dittus P . MMWR Suppl 2020 69 (1) 1-10 Health risk behaviors practiced during adolescence often persist into adulthood and contribute to the leading causes of morbidity and mortality in the United States. Youth health behavior data at the national, state, territorial, tribal, and local levels help monitor the effectiveness of public health interventions designed to promote adolescent health. The Youth Risk Behavior Surveillance System (YRBSS) is the largest public health surveillance system in the United States, monitoring a broad range of health-related behaviors among high school students. YRBSS includes a nationally representative Youth Risk Behavior Survey (YRBS) and separate state, local school district, territorial, and tribal school-based YRBSs. This overview report describes the surveillance system and the 2019 survey methodology, including sampling, data collection procedures, response rates, data processing, weighting, and analyses presented in this MMWR Supplement. A 2019 YRBS participation map, survey response rates, and student demographic characteristics are included. In 2019, a total of 78 YRBSs were administered to high school student populations across the United States (national and 44 states, 28 local school districts, three territories, and two tribal governments), the greatest number of participating sites with representative data since the surveillance system was established in 1991. The nine reports in this MMWR Supplement are based on national YRBS data collected during August 2018-June 2019. A full description of 2019 YRBS results and downloadable data are available (https://www.cdc.gov/healthyyouth/data/yrbs/index.htm).Efforts to improve YRBSS and related data are ongoing and include updating reliability testing for the national questionnaire, transitioning to electronic survey administration (e.g., pilot testing for a tablet platform), and exploring innovative analytic methods to stratify data by school-level socioeconomic status and geographic location. Stakeholders and public health practitioners can use YRBS data (comparable across national, state, tribal, territorial, and local jurisdictions) to estimate the prevalence of health-related behaviors among different student groups, identify student risk behaviors, monitor health behavior trends, guide public health interventions, and track progress toward national health objectives. |
The Human Phenotype Ontology in 2024: phenotypes around the world
Gargano MA , Matentzoglu N , Coleman B , Addo-Lartey EB , Anagnostopoulos AV , Anderton J , Avillach P , Bagley AM , Bakštein E , Balhoff JP , Baynam G , Bello SM , Berk M , Bertram H , Bishop S , Blau H , Bodenstein DF , Botas P , Boztug K , Čady J , Callahan TJ , Cameron R , Carbon SJ , Castellanos F , Caufield JH , Chan LE , Chute CG , Cruz-Rojo J , Dahan-Oliel N , Davids JR , de Dieuleveult M , de Souza V , de Vries BBA , de Vries E , DePaulo JR , Derfalvi B , Dhombres F , Diaz-Byrd C , Dingemans AJM , Donadille B , Duyzend M , Elfeky R , Essaid S , Fabrizzi C , Fico G , Firth HV , Freudenberg-Hua Y , Fullerton JM , Gabriel DL , Gilmour K , Giordano J , Goes FS , Moses RG , Green I , Griese M , Groza T , Gu W , Guthrie J , Gyori B , Hamosh A , Hanauer M , Hanušová K , He YO , Hegde H , Helbig I , Holasová K , Hoyt CT , Huang S , Hurwitz E , Jacobsen JOB , Jiang X , Joseph L , Keramatian K , King B , Knoflach K , Koolen DA , Kraus ML , Kroll C , Kusters M , Ladewig MS , Lagorce D , Lai MC , Lapunzina P , Laraway B , Lewis-Smith D , Li X , Lucano C , Majd M , Marazita ML , Martinez-Glez V , McHenry TH , McInnis MG , McMurry JA , Mihulová M , Millett CE , Mitchell PB , Moslerová V , Narutomi K , Nematollahi S , Nevado J , Nierenberg AA , Čajbiková NN , Nurnberger JI Jr , Ogishima S , Olson D , Ortiz A , Pachajoa H , Perez de Nanclares G , Peters A , Putman T , Rapp CK , Rath A , Reese J , Rekerle L , Roberts AM , Roy S , Sanders SJ , Schuetz C , Schulte EC , Schulze TG , Schwarz M , Scott K , Seelow D , Seitz B , Shen Y , Similuk MN , Simon ES , Singh B , Smedley D , Smith CL , Smolinsky JT , Sperry S , Stafford E , Stefancsik R , Steinhaus R , Strawbridge R , Sundaramurthi JC , Talapova P , Tenorio Castano JA , Tesner P , Thomas RH , Thurm A , Turnovec M , van Gijn ME , Vasilevsky NA , Vlčková M , Walden A , Wang K , Wapner R , Ware JS , Wiafe AA , Wiafe SA , Wiggins LD , Williams AE , Wu C , Wyrwoll MJ , Xiong H , Yalin N , Yamamoto Y , Yatham LN , Yocum AK , Young AH , Yüksel Z , Zandi PP , Zankl A , Zarante I , Zvolský M , Toro S , Carmody LC , Harris NL , Munoz-Torres MC , Danis D , Mungall CJ , Köhler S , Haendel MA , Robinson PN . Nucleic Acids Res 2023 52 D1333-D1346 ![]() ![]() The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs. |
Computer availability and principals' perceptions of online surveys
Eaton DK , Brener ND , Kann L , Roberts AM , Kyle TM , Flint KH , Ross AL . J Sch Health 2011 81 (7) 365-373 BACKGROUND: School-based risk behavior surveys traditionally have been administered via paper-and-pencil. This study assessed the feasibility of conducting in-class online surveys in US high schools. METHODS: A paper-and-pencil questionnaire assessing computer availability and perceptions of online surveys was mailed to a nationally representative sample of public and private high school principals in fall 2008. Completed surveys were returned by principals from 580 of 704 selected schools. Prevalence and 95% confidence intervals were computed. RESULTS: Most high schools have at least 1 computer lab, most computers in computer labs are connected to the Internet, and just under half of schools with a stationary computer lab had a sufficient number of computers to accommodate an in-class online survey administration. The 2 most common problems associated with online surveys were logistics of providing enough computers for an entire class and rotating classes into computer labs. Nearly two thirds of principals preferred online to paper-and-pencil surveys when administered to 4 randomly selected classes that met at different times during the school day, but less than half reported this preference when administered to 4 randomly selected classes that met at the same time during the school day. CONCLUSION: Many schools do not have sufficient computer capacity to participate in a voluntary in-class online survey. An online survey could impose significant perceived and actual burden on schools and therefore could result in unacceptably low school participation rates. Online administration for in-class surveys of students in US high schools are not recommended. |
Comparison of paper-and-pencil versus Web administration of the Youth Risk Behavior Survey (YRBS): participation, data quality, and perceived privacy and anonymity
Denniston MM , Brener ND , Kann L , Eaton DK , McManus T , Kyle TM , Roberts AM , Flint KH , Ross JG . Comput Human Behav 2010 26 (5) 1054-1060 The Youth Risk Behavior Surveillance System (YRBSS) monitors priority health-risk behaviors among US high school students To better understand the ramifications of changing the YRBSS from paper-and-pencil to Web administration, in 2008 the Centers for Disease Control and Prevention conducted a study comparing these two modes of administration. Eighty-five schools in 15 states agreed to participate in the study Within each participating school. four classrooms of students in grades 9 or 10 were randomly assigned to complete the Youth Risk Behavior Survey questionnaire in one of four conditions (in-class paper-and-pencil, in-class Web without programmed skip patterns, in-class Web with programmed skip patterns, and "on your own" Web without programmed skip patterns). Findings included less missing data for the paper-and-pencil condition (1 5% vs 5 3%, 4 4 %. 6.4%; p < 001), less perceived privacy and anonymity among respondents for the in-class Web conditions, and a lower response rate for the "on your own" Web condition than for in-class administration by either mode (28.0% vs 91.2%, 90 1%, 91.4%; p < .001). Although Web administration might be useful for some surveys, these findings do not favor the use of a Web survey for the YRBSS Published by Elsevier Ltd |
Comparison of paper-and-pencil versus Web administration of the Youth Risk Behavior Survey (YRBS): risk behavior prevalence estimates
Eaton DK , Brener ND , Kann L , Denniston MM , McManus T , Kyle TM , Roberts AM , Flint KH , Ross JG . Eval Rev 2010 34 (2) 137-53 The authors examined whether paper-and-pencil and Web surveys administered in the school setting yield equivalent risk behavior prevalence estimates. Data were from a methods study conducted by the Centers for Disease Control and Prevention (CDC) in spring 2008. Intact classes of 9th- or 10th-grade students were assigned randomly to complete a survey via paper-and-pencil or Web. Data from 5,227 students were analyzed using logistic regression to identify associations of mode with reporting of 74 risk behaviors. Mode was associated with reporting of only 7 of the 74 risk behaviors. Results indicate prevalence estimates from paper-and-pencil and Web school-based surveys are generally equivalent. |
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