Last data update: Apr 29, 2024. (Total: 46658 publications since 2009)
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Query Trace: Bryan LN[original query] |
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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. |
Electronic versus paper and pencil survey administration mode comparison: 2019 Youth Risk Behavior Survey
Bryan LN , Smith-Grant J , Brener N , Kilmer G , Lo A , Queen B , Underwood JM . J Sch Health 2022 92 (8) 804-811 BACKGROUND: Since the inception of the Youth Risk Behavior Surveillance System in 1991, all surveys have been conducted in schools, using paper and pencil instruments (PAPI). For the 2019 YRBSS, sites were offered the opportunity to conduct their surveys using electronic data collection. This study aimed to determine whether differences in select metrics existed between students who completed the survey electronically versus using PAPI. METHODS: Thirty risk behaviors were examined in this study. Data completeness, response rates and bivariate comparisons of risk behavior prevalence between administration modes were examined. RESULTS: Twenty-nine of 30 questions examined had more complete responses among students using electronic surveys. Small differences were found for student and school response rates between modes. Twenty-five of 30 adolescent risk behaviors showed no mode effect. CONCLUSIONS: Seven of 44 states and DC participated electronically. Because survey data were more complete; school and student response rates were consistent; and minor differences existed in risk behaviors between modes, the acceptability of collecting data electronically was demonstrated. |
School-level poverty and rurality associated with differences in sexual risk behaviors among U.S. public high school students
Underwood JM , Pampati S , Everett Jones S , Bryan LN , Demissie Z , Cavalier Y , Rasberry CN . J Adolesc Health 2021 69 (6) 964-969 PURPOSE: This study examined associations between student sexual behaviors and both school-level socioeconomic status and metropolitan status. METHODS: National Youth Risk Behavior Survey data from 2017 (N = 14,765, response rate = 60%) and 2019 (N = 13,677, 60%) were combined. School-level socioeconomic status (low-, mid-, and high-poverty based on the percentage of students eligible for free or reduced-price meals) and metropolitan status (urban, suburban/town, or rural) were identified for students attending public high schools. Sexual behaviors included currently sexually active, four or more lifetime sexual partners, condom use during the last sexual intercourse, hormonal birth control use during the last sexual intercourse, condom and hormonal birth control use during the last sexual intercourse, and drank alcohol or used drugs before the last sexual intercourse. Adjusted prevalence ratios were calculated using logistic regression models, controlling for sex, race/ethnicity, and grade. RESULTS: Compared to students attending low-poverty schools, high-poverty school students were significantly more likely to be currently sexually active (adjusted prevalence ratio = 1.4 [95% confidence interval = 1.1-1.8]) and have four or more lifetime sexual partners (1.6 [1.0-2.5]), but were significantly less likely to have drank alcohol or used drugs before the last sexual intercourse (.7 [.5-.9]) and have used hormonal birth control during the last sexual intercourse (.7 [.6-1.0]). Compared to students attending rural schools, urban school students were significantly less likely to be currently sexually active (.8 [.7-.9]) and have four or more lifetime sexual partners (.7 [.5-.9]). CONCLUSIONS: School-level socioeconomic status and metropolitan status were associated with differential risk in sexual behaviors. |
US nationwide assessment of school health policies and practices using state-level data
Bryan LN , Brener N , Barker L , Lo A , Underwood JM . Health Educ J 2021 80 (6) 724-733 Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors school health policies and practices in states and other jurisdictions. The objective of this study was to assess whether prevalence estimates calculated using nationally representative SHPPS as an established benchmark were similar to estimates using aggregated Profiles data. Method: Nationwide 2014 Profiles estimates were calculated from data across all 50 US states and the District of Columbia and compared to national 2014 SHPPS estimates. Fifty-seven questions were identical between the data sources. Equivalence tests were used to determine similarity between data sources. Results: Overall, the median difference between 2014 SHPPS and 2014 Profiles estimate was one percentage point and distribution-free 95% confidence intervals were (−0.8, 3.1). Of the 57 school health policy and practice indicators examined in this study, 38 (66.7%) were found to be equivalent. Of these equivalent indicators, the median percentage point difference between data sources was 0.8 (−0.8, 2.5). A nonparametric sign test showed that none of the medians of the estimate differences examined were significantly different from zero. Conclusion: This study demonstrates the expanded utility of state-level data to meet public health surveillance needs. This study found that aggregated, state-level Profiles data can be used to calculate nationwide prevalence estimates that are reasonably consistent with results from a nationally representative survey. © The Author(s) 2021. |
Seasonal influenza vaccination coverage - United States, 2009-10 and 2010-11
McIntyre AF , Gonzalez-Feliciano AG , Bryan LN , Santibanez TA , Williams WW , Singleton JA . MMWR Suppl 2013 62 (3) 65-8 Infection with influenza viruses can cause severe morbidity and mortality among all age groups. Children, particularly those aged <5 years, have the highest incidence of infection during epidemic periods; however, the highest rates of influenza-associated hospitalizations and deaths are among the elderly (aged ≥65 years), children aged <2 years, and those of any age with underlying medical conditions. Each year, influenza-related complications are estimated to result in more than 226,000 hospitalizations. During 1976-2006, estimates of influenza-associated deaths in the United States ranged from approximately 3,000 to an estimated 49,000 persons. Annual vaccination is the most effective strategy for preventing influenza virus infection and its complications. |
Influenza A (H1N1) 2009 monovalent and seasonal influenza vaccination among adults 25 to 64 years of age with high-risk conditions-United States, 2010
Lu PJ , Gonzalez-Feliciano A , Ding H , Bryan LN , Yankey D , Monsell EA , Greby SM , Euler GL . Am J Infect Control 2013 41 (8) 702-9 BACKGROUND: Seasonal influenza vaccination has been routinely recommended for adults with high-risk conditions. The Advisory Committee on Immunization Practices recommended that persons 25 to 64 years of age with high-risk conditions be one of the initial target groups to receive H1N1 vaccination during the 2009-2010 season. METHODS: We used data from the 2009-2010 Behavioral Risk Factor Surveillance System survey. Vaccination levels of H1N1 and seasonal influenza vaccination among respondents 25 to 64 years with high-risk conditions were assessed. Multivariable logistic regression models were performed to identify factors independently associated with vaccination. RESULTS: Overall, 24.8% of adults 25 to 64 years of age were identified to have high-risk conditions. Among adults 25 to 64 years of age with high-risk conditions, H1N1 and seasonal vaccination coverage were 26.3% and 47.6%, respectively. Characteristics independently associated with an increased likelihood of H1N1 vaccination were as follows: higher age; Hispanic race/ethnicity; medical insurance; ability to see a doctor if needed; having a primary doctor; a routine checkup in the previous year; not being a current smoker; and having high-risk conditions other than asthma, diabetes, and heart disease. Characteristics independently associated with seasonal influenza vaccination were similar compared with factors associated with H1N1 vaccination. CONCLUSION: Immunization programs should work with provider organizations to review efforts made to reach adults with high-risk conditions during the recent pandemic and assess how and where they can increase vaccination coverage during future pandemics. |
Influenza vaccination coverage - United States, 2000-2010
Setse RW , Euler GL , Gonzalez-Feliciano AG , Bryan LN , Furlow C , Weinbaum CM , Singleton JA . MMWR Suppl 2011 60 (1) 38-41 Vaccines are among the greatest public health achievements of the 20th century (1). The majority of Healthy People 2010 (HP2010) objectives for early childhood vaccination coverage were met by the end of 2010 (2), and progress has been made toward eliminating disparities in vaccination coverage among children (3,4). Remarkable progress also has been made in improving coverage and reducing disparities in coverage for adolescent vaccinations recommended since 2005 (5). Although childhood vaccination programs in the United States have been successful, adolescent programs remain relatively new and adult vaccination programs, although well established, have not achieved acceptable levels of success. Among adults, substantial disparities in vaccination coverage have persisted (6--10). A particular challenge for prevention of influenza is the need for annual vaccination. During 1989--1999, national influenza vaccination coverage among persons aged ≥65 years increased each year for all racial/ethnic groups; however, the rate of increase slowed during 1997--2001, and vaccination coverage among non-Hispanic blacks and Hispanics remained lower compared with non-Hispanic whites throughout the entire period (1989--2001) (11). | | To examine racial/ethnic disparities in influenza vaccination coverage among all persons aged ≥6 months for the 2009--10 influenza season as well as trends in racial/ethnic disparities in influenza vaccination coverage for the 2000--01 through 2009--10 influenza seasons among adults aged ≥65 years, CDC analyzed data from the 2002--2010 Behavioral Risk Factor Surveillance System (BRFSS) questionnaire and the National 2009 H1N1 Flu Survey (NHFS). Racial/ethnic disparities were focused on because these disparities in vaccination coverage have been documented (11--13) more extensively compared with other disparity domains (e.g., sex, income, education, and disability status). State-level estimates have been published previously (14,15) and are not included in this report. |
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- Page last updated:Apr 29, 2024
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