PURPOSE: To examine differences in unstable housing and health-risk behaviors and experiences by sexual identity among U.S. high school students. METHODS: Using data from the 2021 Youth Risk Behavior Survey, a nationally representative survey of U.S. high school students, we calculated prevalence estimates and prevalence ratios of unstable housing by sexual identity (lesbian, gay, bisexual, questioning, and other-identifying [LGBQ+] vs. heterosexual). Among students experiencing unstable housing, we calculated prevalence estimates and prevalence ratios by sexual identity for substance use, violence victimization, mental health, and suicidal behaviors. RESULTS: LGBQ+ students were twice as likely to experience unstable housing, including sleeping in shelters or emergency housing, compared to heterosexual students. Among students experiencing unstable housing, LGBQ+ students were more likely to use substances and experience violence victimization, poor mental health, and suicide ideation and attempts. DISCUSSION: LGBQ+ youth experience a disproportionate burden of unstable housing and related health-risk behaviors and experiences.

OBJECTIVE: Adverse childhood experiences (ACEs) are preventable, potentially traumatic events with lifelong negative impacts. Population-level data on ACEs among adolescents have historically relied on parent reports and excluded abuse-related ACEs. We present the self-reported prevalence of ACEs among a large population-based sample of US high school students. METHODS: Using cross-sectional, state-representative data from 16 states that included core ACE questions on their 2021 Youth Risk Behavior Survey, we estimate the prevalence of 8 individual (lifetime emotional, physical, or sexual abuse, physical neglect, witnessed intimate partner violence, household substance use, household poor mental health, incarcerated parent or guardian) and cumulative ACEs (0, 1, 2-3, ≥4) among a large population-based sample of adolescents, overall and by demographic characteristics (sex, race and ethnicity, age, sexual orientation). RESULTS: Emotional abuse (65.8%), household poor mental health (36.1%), and physical abuse (32.5%) had the highest prevalence. ACEs were very common, with 80.5% of adolescents experiencing at least 1 ACE and 22.4% experiencing ≥4 ACEs. Experiencing ≥4 ACEs was highest among adolescents who were female (27.7%), non-Hispanic multiracial (33.7%), non-Hispanic American Indian or Alaska Native (27.1%), gay or lesbian (36.5%), bisexual (42.1%), or who described their sexual identity some other way or were not sure of their sexual identity (questioning) (36.5%). CONCLUSIONS: Self-reported ACE estimates among adolescents exceed previously published parent-reported estimates. ACEs are not equally distributed, with important differences in individual and cumulative ACEs by demographic characteristics. Collecting ACE data directly from adolescents at the state level provides actionable data for prevention and mitigation.

Community engagement is vital to the development of people-centered, successful vaccination programs. The diverse Vaccination Acceptance Research Network (VARN) community brings together interdisciplinary professionals from across the immunization ecosystem who play a crucial role in vaccination acceptance, demand, and delivery. Over the course of the VARN2023 conference, researchers and practitioners alike shared ideas and experiences focused on strategies and approaches to building trust between communities and health systems to increase equity in vaccination. Health professionals and community members must have equal value in the design and delivery of community-centered immunization services, while key vaccination decision-makers must also consider community experiences, concerns, and expertise in program design and policymaking. Therefore, strategies for community engagement and cultivating trust with communities are crucial for the success of any immunization program. Furthermore, health workers need additional skills, support, and resources to effectively communicate complex information about immunization, including effective strategies for countering misinformation. This article summarizes three skills-building sessions offered at the VARN2023 conference, focused on human-centered design, motivational interviewing, and engaging with journalists to leverage the voices of communities. These sessions offered practical, evidence-based tools for use across geographic and social settings that can be used by practitioners, researchers, and other stakeholders to increase vaccination demand and uptake in their communities.

PURPOSE: Transgender youths (those whose gender identity differs from their sex assigned at birth) experience stigma and discrimination that can place them at increased risk for poor health outcomes compared with cisgender youths (those whose gender identity aligns with their sex assigned at birth). Limited population-based data exist on disparities among transgender and cisgender youths. METHODS: We examined differences in experiences of violence, substance use, mental health, suicide, sexual behavior, unstable housing, parental monitoring, and school connectedness among 98,174 transgender and cisgender high school students using data from 18 states that included an item to assess transgender identity on their 2021 Youth Risk Behavior Survey. RESULTS: Overall, 2.9% of students identified as transgender and 2.6% questioned whether they were transgender. Among transgender students, 71.5% reported that their mental health was not good, 32.3% had attempted suicide, and 29.0% experienced sexual violence. Transgender students were more likely than cisgender students to report experiences of violence, substance use, poor mental health, suicide risk, some sexual risk behaviors, and unstable housing, and were less likely to report feeling connected to others at school. CONCLUSIONS: Interventions that can address the causes of these adverse outcomes and promote the health and wellbeing of transgender youths are warranted.

Introduction: Age-related changes (e.g., cognitive, physiologic) can affect an individual's mobility and increase risks for falls and motor-vehicle crashes, which are leading causes of injuries and injury deaths among older Americans. To address this issue, CDC developed MyMobility Plan (MMP) products to help older adults make plans to reduce injury risks and promote safe mobility. In 2019, MMP products were disseminated to older adults and partner organizations. Dissemination strategies consisted of digital and print distribution and partner outreach. Methods: To assess dissemination efforts, a process (or implementation) evaluation was conducted from January to June 2019. Data were collected for 17 indicators (e.g., counts of webpage visits, product downloads, social media posts). Key informant interviews were conducted with partners, and qualitative analyses of interview data were undertaken to identify key themes related to their dissemination experiences. Results: Findings showed the dissemination resulted in 13,425 product downloads and print copy orders and reached almost 155,000 individuals through email subscriber lists, websites, webinars, and presentations. It is unknown what proportion of these individuals were older adults. Social media metrics were higher than expected, and 58 partners promoted products within their networks. Partner interviews emphasized the need for guidance on dissemination, collaboration with local partners, and integration of the products within a program model to ensure broader reach to and use by older adults. Conclusions: The evaluation of the dissemination campaign identified strategies that were successful in creating exposure to the MMP and others that could improve reach in the future. Those strategies include meaningful and early partner engagement for dissemination. Practical applications: Building in evaluation from the start can facilitate development of appropriate data collection measures to assess project success. Engaging partners as active disseminators in the planning stages can help increase the reach of public health tools and resources. © 2024

OBJECTIVES: State, local, and federal agencies have expanded efforts to address the root causes of overdoses, including health inequity and related social determinants of health. As an Overdose Data to Action (OD2A) technical assistance provider, the Association of State and Territorial Health Officials (ASTHO) conducted the first national needs assessment to understand capacity and technical assistance needs of OD2A jurisdictions in advancing health equity. METHODS: ASTHO designed and disseminated the OD2A Recipient Health Equity Needs Assessment (RHENA) to 66 OD2A-funded jurisdictions from February to March 2022. OD2A principal investigators and staff were contacted via email and asked to complete the needs assessment within 6 weeks. One coder manually coded open-ended responses, conducted a thematic analysis on the qualitative data, and performed a simple frequency analysis on the quantitative data. RESULTS: Fifty-two jurisdictions (78.8%) responded, including 36 states, 12 cities/counties, and 2 territories. Most jurisdictions (n = 46; 88.5%) reported having a formal or informal health equity lead in place. Common barriers included a lack of access to data sources (n = 37; 71.2%), lack of partnerships (n = 20; 38.5%), and lack of funding (n = 14; 26.9%). Respondents reported needing more information sharing among jurisdictions and partner organizations, coaching on best practices, and routine discussions such as peer-to-peer learning sessions. CONCLUSION: Findings suggest that gaps remain in programmatic policies and principles to address inequities in overdose prevention. Results are being used to identify additional technical assistance opportunities, jurisdictional capacity, and approaches to advance health equity.

PURPOSE: The Youth Risk Behavior Survey (YRBS) monitors behaviors, experiences, and conditions affecting the health of high school students nationwide. This study examined the test-retest reliability of the 2021 national YRBS questionnaire. DESIGN: Respondents completed a Time 1 and Time 2 paper-and-pencil questionnaire approximately 2 weeks apart during February to May 2022. Data were linked in such a way as to preserve anonymity. SETTING: Convenience sample of high schools. SUBJECTS: High school students (N = 588). MEASURES: Health risk behaviors and experiences assessed on the 2021 national YRBS questionnaire. ANALYSIS: Time 1 and Time 2 responses were compared for each questionnaire item using the McNemar's test. Then, Cohen's kappa coefficients tested the agreement between Time 1 and Time 2 responses overall, and by sex, grade, and Black, White, and Hispanic race and ethnicity. RESULTS: Among the 74 items analyzed, 96% had at least moderate reliability, and 73% had substantial or almost perfect reliability. The mean Cohen's kappa was .68. McNemar's test findings showed Time 1 and Time 2 data significantly differed (P < .01) for 9 items (12%). CONCLUSION: Reliable health behavior measures are important in the development of youth-focused public health programs and policies. Findings suggest the national YRBS questionnaire is a reliable instrument. Such findings lend support to relying on adolescent self-reported data when monitoring health behaviors using the YRBS.

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).

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.

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.

Youths experiencing unstable housing face higher risks for poor physical, mental, and sexual health outcomes and increased risk for suicide compared with their peers experiencing stable housing. In addition, youths of color and sexual minority youths are disproportionately more likely to experience homelessness. For the first time, in 2021, the nationally representative Youth Risk Behavior Survey included an item assessing housing stability, or nighttime residence among students in grades 9-12 in the United States. During 2021, 2.7% of U.S. high school students experienced unstable housing. Among racial and ethnic subgroups, Native Hawaiian or other Pacific Islander youths were most likely to experience unstable housing, followed by American Indian or Alaska Native and Black youths. Sexual minority (lesbian, gay, bisexual, and questioning or other) youths were more likely to experience unstable housing compared with their heterosexual peers. Compared with students who were stably housed, students who were unstably housed were more likely to engage in risky sexual behaviors, substance use, and suicide ideation and attempts, and to experience violence. These findings highlight which adverse health risks and behaviors are elevated among youths experiencing housing insecurity. Focused public health interventions are required to address the disproportionate burden of health risks prevalent among youths who are unstably housed.

Perceived racism in school (i.e., a student's report of being treated badly or unfairly because of their race or ethnicity) is an important yet understudied determinant of adolescent health and well-being. Knowing how perceived racism influences adolescent health can help reduce health inequities. CDC's 2021 Adolescent Behaviors and Experiences Survey (ABES), an online survey of a probability-based, nationally representative sample of U.S. public- and private-school students in grades 9-12 (N = 7,705), was conducted during January-June 2021 to assess student behaviors during the COVID-19 pandemic. CDC analyzed data from ABES to measure perceived racism and the extent to which perceptions of racism are associated with demographic, mental health, and behavioral characteristics. Mental health and behavioral characteristics analyzed included mental health status; virtual connection with others outside of school; serious difficulty concentrating, remembering, or making decisions; and feeling close to persons at school. Demographic characteristics analyzed included sex, race and ethnicity, and grade. Prevalence of perceived racism and associations between perceived racism and demographic, mental health, and behavioral characteristics are reported overall and stratified by race and ethnicity. Approximately one third (35.6%) of U.S. high school students reported perceived racism. Perceived racism was highest among Asian (63.9%), Black (55.2%), and multiracial students (54.5%). Students who reported perceived racism had higher prevalences of poor mental health (38.1%); difficulty concentrating, remembering, or making decisions (44.1%); and not feeling close to persons at school (40.7%). Perceived racism was higher among those students who reported poor mental health than those who did not report poor mental health during the pandemic among Asian (67.9% versus 40.5%), Black (62.1% versus 38.5%), Hispanic (45.7% and 22.9%), and White students (24.5% versus 12.7%). A better understanding of how negative health outcomes are associated with student experiences of racism can guide training for staff and students to promote cultural awareness and antiracist and inclusivity interventions, which are critical for promoting safe school environments for all students.

Youths have experienced disruptions to school and home life since the COVID-19 pandemic began in March 2020. During January-June 2021, CDC conducted the Adolescent Behaviors and Experiences Survey (ABES), an online survey of a probability-based, nationally representative sample of U.S. public- and private-school students in grades 9-12 (N = 7,705). ABES data were used to estimate the prevalence of disruptions and adverse experiences during the pandemic, including parental and personal job loss, homelessness, hunger, emotional or physical abuse by a parent or other adult at home, receipt of telemedicine, and difficulty completing schoolwork. Prevalence estimates are presented for all students and by sex, race and ethnicity, grade, sexual identity, and difficulty completing schoolwork. Since the beginning of the pandemic, more than half of students found it more difficult to complete their schoolwork (66%) and experienced emotional abuse by a parent or other adult in their home (55%). Prevalence of emotional and physical abuse by a parent or other adult in the home was highest among students who identified as gay, lesbian, or bisexual (74% emotional abuse and 20% physical abuse) and those who identified as other or questioning (76% and 13%) compared with students who identified as heterosexual (50% and 10%). Overall, students experienced insecurity via parental job loss (29%), personal job loss (22%), and hunger (24%). Disparities by sex and by race and ethnicity also were noted. Understanding health disparities and student disruptions and adverse experiences as interconnected problems can inform school and community initiatives that promote adolescent health and well-being. With community support to provide coordinated, cross-sector programming, schools can facilitate linkages to services that help students address the adverse experiences that they faced during the ongoing COVID-19 pandemic. Public health and health care professionals, communities, schools, families, and adolescents can use these findings to better understand how students' lives have been affected during the pandemic and what challenges need to be addressed to promote adolescent health and well-being during and after the pandemic.

BACKGROUND: Medications for Opioid Use Disorder (MOUD) are an effective method to treat persons with opioid use disorder (OUD). Longer treatment times are associated with better health outcomes, yet treatment retention rates remain low. This study aimed to assess patient characteristics and experiences associated with retention in treatment. METHODS: Data were from an observational cohort study of OUD treatments. Among persons receiving buprenorphine or methadone, log-binomial regression models assessed the relationship between patient characteristics and experiences and three retention outcomes: retention in any OUD treatment, retention in the index treatment (OUD treatment being administered at the time when patients were screened for study eligibility), and 6-month retention in the index treatment. RESULTS: Individuals being treated with methadone at the start of the study compared to those treated with buprenorphine were more likely to remain in their same index treatment at the 18-month follow-up (aPR = 1.35; 95 % CI = 1.11-1.65), and to have remained on their index treatment for 6-months or longer (aPR = 1.22; 95 % CI = 1.14-1.32), but were not significantly more likely to remain in any OUD treatment overall. Individuals residing five miles or less from treatment were more likely to have been retained in any OUD treatment (aPR = 1.06; 95 % CI = 1.00-1.12), to remain in their index treatment at the 18-month follow-up (aPR = 1.21; 95 % CI = 1.08-1.36), and to have remained in their index treatment for 6 months or more (aPR = 1.08; 95 % CI = 1.02-1.13). Individuals without health insurance were less likely to be retained in any OUD treatment (aPR = 0.86; 95 % CI = 0.78-0.95). CONCLUSION: The prevalence of retention in any OUD treatment was higher for individuals residing five miles or less from treatment. These findings expand on previous studies that have shown distance to and location of treatment sites can impact treatment access and retention. Lack of health insurance was also associated with lower retention in any OUD treatment in this study. Given the high burden associated with overdose deaths, it is important to understand and address barriers to retention in treatment.

BACKGROUND: School Health Profiles assesses school health policies and practices among US secondary schools. METHODS: The 2020 School Health Profiles principal and teacher questionnaires were used for a test-retest reliability study. Cohen's kappa coefficients tested the agreement in dichotomous responses to each questionnaire variable at 2 time points. The aggregate prevalence estimates between time 1 and time 2 were compared for each questionnaire item via overlapping 95% confidence intervals. Chi-square tests examined whether the prevalence at time 2 differed between paper and web administration for both questionnaires. RESULTS: For the principal (N = 50) and teacher (N = 34) data, there were no significant differences in the prevalence of any items between time 1 and time 2. For the principal survey, the mean kappa for 191 variables was 0.49. For the teacher survey, the mean kappa for 260 variables was 0.65. Overall, 60.7% of principal and 91.1% of teacher questionnaire items had at least "moderate" reliability. CONCLUSIONS: School Health Profiles offers education and health agencies a reliable tool to monitor school policies and practices.

BACKGROUND: Due to low numbers of active infections and persons presenting to health facilities for malaria treatment, case-based surveillance is inefficient for understanding the remaining disease burden in low malaria transmission settings. Serological data through the detection of IgG antibodies from previous malaria parasite exposure can fill this gap by providing a nuanced picture of where sustained transmission remains. Study enrollment at sites of gathering provides a potential approach to spatially estimate malaria exposure and could preclude the need for more intensive community-based sampling. METHODS: This study compared spatial estimates of malaria exposure from cross-sectional school- and community-based sampling in Haiti. A total of 52,405 blood samples were collected from 2012 to 2017. Multiplex bead assays (MBAs) tested IgG against P. falciparum liver stage antigen-1 (LSA-1), apical membrane antigen 1 (AMA1), and merozoite surface protein 1 (MSP1). Predictive geospatial models of seropositivity adjusted for environmental covariates, and results were compared using correlations by coordinate points and communes across Haiti. RESULTS: Consistent directional associations were observed between seroprevalence and environmental covariates for elevation (negative), air temperature (negative), and travel time to urban centers (positive). Spearman's rank correlation for predicted seroprevalence at coordinate points was lowest for LSA-1 (ρ = 0.10, 95% CI: 0.09-0.11), but improved for AMA1 (ρ = 0.36, 95% CI: 0.35-0.37) and MSP1 (ρ = 0.48, 95% CI: 0.47-0.49). CONCLUSIONS: In settings approaching P. falciparum elimination, case-based prevalence data does not provide a resolution of ongoing malaria transmission in the population. Immunogenic antigen targets (e.g., AMA1, MSP1) that give higher population rates of seropositivity provide moderate correlation to gold standard community sampling designs and are a feasible approach to discern foci of residual P. falciparum transmission in an area.

BACKGROUND: Recent estimates show progress toward malaria elimination is slowing in many settings, underscoring the need for tailored approaches to fight the disease. In addition to essential structural changes, human behaviour plays an important role in elimination. Engagement in malaria behaviours depends in part on psychosocial determinants such as knowledge, perceived risk, and community norms. Understanding the state of research on psychosocial determinants in low malaria transmission settings is important to augment social and behaviour change practice. This review synthesizes research on psychosocial factors and malaria behaviours in low-transmission settings. METHODS: A systematic search of peer-reviewed literature and supplemental manual search of grey literature was conducted using key terms and eligibility criteria defined a priori. Publications from 2000-2020 in the English language were identified, screened, and analysed using inductive methods to determine the relationship between the measured psychosocial factors and malaria behaviours. RESULTS: Screening of 961 publications yielded 96 for inclusion. Nineteen articles collected data among subpopulations that are at increased risk of malaria exposure in low-transmission settings. Purposive and cluster randomized sampling were common sampling approaches. Quantitative, qualitative, and mixed-methods study designs were used. Knowledge, attitudes, and perceived risk were commonly measured psychosocial factors. Perceived response-efficacy, perceived self-efficacy, and community norms were rarely measured. Results indicate positive associations between malaria knowledge and attitudes, and preventive and care-seeking behaviour. Studies generally report high rates of correct knowledge, although it is comparatively lower among studies of high-risk groups. There does not appear to be sufficient extant evidence to determine the relationship between other psychosocial variables and behaviour. CONCLUSIONS: The review highlights the need to deploy more consistent, comprehensive measures of psychosocial factors and the importance of reaching subpopulations at higher risk of transmission in low transmission contexts. Malaria-related knowledge is generally high, even in settings of low transmission. Programmes and research should work to better understand the psychosocial factors that have been positively associated with prevention and care-seeking behaviours, such as norms, perceived response efficacy, perceived self-efficacy, and interpersonal communication. These factors are not necessarily distinct from that which research has shown are important in settings of high malaria transmission. However, the importance of each factor and application to malaria behaviour change programming in low-transmission settings is an area in need of further research. Existing instruments and approaches are available to support more systematic collection of psychosocial determinants and improved sampling approaches and should be applied more widely. Finally, while human behaviour is critical, health systems strengthening, and structural interventions are essential to achieve malaria elimination goals.

PURPOSE: As part of efforts to modernize the Youth Risk Behavior Surveillance System, the national Youth Risk Behavior Survey (YRBS) is moving from paper-and-pencil instrument (PAPI) administration to electronic administration using tablets. This study aimed to examine differences in demographic characteristics and the reporting of health behaviors and experiences between the PAPI- and tablet-administered 2021 national YRBS questionnaire. METHODS: High school students (grades 9-12) in classrooms from 57 schools participating in the 2021 national YRBS were assigned randomly to complete the survey using PAPI (n = 4,684 students) or using tablets (n = 3,645 students). Eighty-nine behavior and experience items were examined to compare the missingness in reporting and the prevalence estimation (i.e., proportions) by administration mode. RESULTS: Demographic characteristics (sex, race/ethnicity, grade, and sexual identity) did not differ by mode (PAPI vs. tablet). For the majority (93.2%, 83 out of 89) of YRBS behavior and experience items, mode was not significantly associated with the reported proportions, adjusting for sex, race/ethnicity, grade, and sexual identity. However, 30 out of 89 (33.7%) items showed significant variation in missingness by mode; 10 items had higher missingness with PAPI administration while 20 had higher missingness with tablet administration. DISCUSSION: Survey administration mode was not significantly associated with behavior and experience reporting among high school students. More research is needed to understand differential patterns of missingness by mode. Aligning with Centers for Disease Control and Prevention's Public Health Data Modernization Initiative, findings from this study provide evidence to support electronic survey administration for the national YRBS, particularly using tablet data collection.

To the Editor The debate on effects of state medical and recreational marijuana laws (MMLs/RMLs) is at the forefront of drug policy. Assessing associations of MMLs/RMLs with youth marijuana use is critical given marijuana’s potential for long-term negative effects on brain development and function.1,2 Anderson et al,3 using Youth Risk Behavior Survey (YRBS) data, report MMLs are not associated with youth marijuana use and RMLs are associated with reduced use. However, their analyses include substantial methodologic flaws that may undermine these findings. | | Authors pooled national and state YRBS data from 1993 to 2017. Pooling national and state YRBS data is inappropriate because underlying person-level weights are different, and there is some overlap between national and state YRBS data; thus, a student could be represented more than once. The YRBS codebook explicitly warns against combining these data.4 Authors pulled state data from the national YRBS and used it to assess state MMLs/RMLs. National YRBS data are nationally representative of high school students but not representative of students in a given state. In some cases, only a small number of schools may be selected within a state for the national YRBS, and individual state and school selection to participate in the national YRBS may vary by survey cycle. Authors used unweighted data; YRBS data are designed to be weighted to capture representative populations.4 Establishing that MML/RML implementation occurred before marijuana use reported in 2017 YRBS data is critical. In 2017, 9 states and Washington, DC, legalized recreational marijuana; yet only 4 had marketplaces open the full year. Authors also used binary variables to classify MMLs/RMLs as present or absent and did not account for their significant heterogeneity across states despite prior research documenting the pitfalls of this approach.5 States and Washington, DC, fielded YRBS in the spring or fall of the survey year, yet no information is provided on how survey timing and MML/RML implementation were handled. Results would be skewed if students surveyed before law enactment were combined with those surveyed after enactment in other states. Finally, using cross-sectional data to model RMLs alone on youth marijuana use is problematic; use may have changed after MML enactment, which in some states occurred a decade before RML passage. A more sophisticated approach would model effects of MMLs/RMLs on marijuana use accounting for timing of law implementation. | | We commend the authors for evaluating potential effects of MMLs/RMLs. However, the significant methodologic flaws described here compel us to question the validity of their findings.

OBJECTIVES: Understanding the health-risk behaviors of racial and ethnic groups when disaggregated is an important step in improving the health outcomes of racial and ethnic minority groups. We compared national prevalence estimates for selected health-risk behaviors and experiences of Asian American and Native Hawaiian/Pacific Islander (NHPI) students with those of non-Hispanic White, non-Hispanic Black, and Hispanic students. METHODS: We analyzed data from the Youth Risk Behavior Survey, a nationally representative survey of US high school students. To generate a sufficient sample of Asian American and NHPI students for analyses, we combined data from 5 survey administrations, conducted in 2011, 2013, 2015, 2017, and 2019 (N = 73 074). We calculated the prevalence and 95% CIs; we analyzed data on Asian American and NHPI adolescents separately to unmask important differences. RESULTS: Compared with students of other races and ethnicities, Asian American students had the lowest prevalence of alcohol use (16.7%) and marijuana use (10.3%). In contrast, NHPI students were more likely than Asian American students to participate in several health-risk behaviors and experiences, such as substance use (ranging from 4.8% for ever injecting an illegal drug to 31.5% for current alcohol use), having been in a physical fight (15.4%), and having been threatened or injured with a weapon (11.6%). Differential patterns in the prevalence of ever having missed school due to feeling unsafe among NHPI and Asian American students were observed among male and female students. CONCLUSION: Further disaggregating racial subgroups within broad categories of Asian American and NHPI populations may reveal differences from overall group prevalence, and additional strategies to identify these differences should be investigated.

IgG serology can be utilized to estimate exposure to Anopheline malaria vectors and the Plasmodium species they transmit. A multiplex bead-based assay simultaneously detected IgG to Anopheles albimanus salivary gland extract (SGE) and four Plasmodium falciparum antigens (CSP, LSA-1, PfAMA1, and PfMSP1) in 11,541 children enrolled at 350 schools across Haiti in 2016. Logistic regression estimated odds of an above-median anti-SGE IgG response adjusting for individual- and environmental-level covariates. Spatial analysis detected statistically significant clusters of schools with students having high anti-SGE IgG levels, and spatial interpolation estimated anti-SGE IgG levels in unsampled locations. Boys had 11% (95% CI: 0.81, 0.98) lower odds of high anti-SGE IgG compared to girls, and children seropositive for PfMSP1 had 53% (95% CI: 1.17, 2.00) higher odds compared to PfMSP1 seronegatives. Compared to the lowest elevation, quartiles 2-4 of higher elevation were associated with successively lower odds (0.81, 0.43, and 0.34, respectively) of high anti-SGE IgG. Seven significant clusters of schools were detected in Haiti, while spatially interpolated results provided a comprehensive picture of anti-SGE IgG levels in the study area. Exposure to malaria vectors by IgG serology with SGE is a proxy to approximate vector biting in children and identify risk factors for vector exposure.

The Centers for Disease Control and Prevention's (CDC) Division of Adolescent and School Health (DASH) works with local decision makers, schools, youth-serving organizations, and parents across the nation to equip youth with knowledge, skills, and resources needed for healthy adolescence and adulthood. Aligned with this effort, DASH maintains high-quality surveillance systems to understand youth health behaviors and assess school health programs and policies. The Youth Risk Behavior Surveillance System (YRBSS) is a system of surveys administered every other year to high school students. In addition to the national Youth Risk Behavior Survey conducted by CDC, YRBSS features Youth Risk Behavior Surveys (YRBS) conducted by state, territorial, and local education and health agencies and tribal governments across the nation.1 Local decision makers collaborate with partners to develop questionnaires for their respective YRBS, then coordinate data dissemination and utilization. Since its inception in 1991, YRBSS has collected data from more than 5 million high school students in approximately 2200 separate surveys across the United States.1 The School Health Profiles (Profiles) is a system of surveys conducted by state, territorial, and local education and health agencies and tribal governments. These surveys collect data every other year from principals and lead health education teachers to assess school-implemented health programs and policies.2 Since 1994, Profiles data have helped evaluate health programs and informed professional development needs for educators in middle and high schools.2 Together, YRBSS and Profiles offer metrics to inform public health needs, which are then translated into evidence-based programs to protect youth.

OBJECTIVE: To determine whether any combinations of state-level public health activities were necessary or sufficient to reduce prescription opioid dispensing. DESIGN: We examined 2016-2019 annual progress reports, 2014-2019 national opioid dispensing data (IQVIA), and interview data from states to categorize activities. We used crisp-set Qualitative Comparative Analysis to determine which program activities, individually or in combination, were necessary or sufficient for a better than average decrease in morphine milligram equivalent (MME) per capita. SETTING: Twenty-nine US state health departments. PARTICIPANTS: State health departments implementing the Centers for Disease Control and Prevention's Prevention for States (PfS) program. MAIN OUTCOME: Combinations of prevention activities related to changes in the rate of prescription opioid MME per capita dispensing from 2014 to 2019. RESULTS: Three combinations were sufficient for greater than average state-level reductions in MME per capita: (1) expanding and improving proactive reporting in combination with enhancing the uptake of evidence-based opioid prescribing guidelines and not moving toward a real-time Prescription Drug Monitoring Program; (2) implementing or improving prescribing interventions for insurers, health systems, or pharmacy benefit managers in combination with enhancing the uptake of evidence-based opioid prescribing guidelines; and (3) not implementing or improving prescribing interventions for insurers, health systems, or pharmacy benefit managers in combination with not enhancing the uptake of evidence-based opioid prescribing guidelines. Interview data suggested that the 3 combinations indicate how state contexts and history with addressing opioid overdose shaped programming and the ability to reduce MME per capita. CONCLUSIONS: States successful in reducing opioid dispensing selected activities that built upon existing policies and interventions, which may indicate thoughtful use of resources. To maximize impact in addressing the opioid overdose epidemic, states and agencies may benefit from building on existing policies and interventions.

BACKGROUND: There are notable disparities by race/ethnicity in the sexual health of US adolescents and young adults. Our objective was to examine change over time in racial-ethnic disparities in sexual behaviours among US high school students. METHODS: Data were analysed from six biennial cycles of the national Youth Risk Behavior Survey (2009-19), conducted among cross-sectional, nationally representative samples of 9th-12th grade students. Data were collected via self-administered questionnaires. Multivariable logistic regression models tested for linear trends by race/ethnicity (White, Black, Hispanic) and differences in these trends in: ever had sex, current sexual activity, having four or more lifetime sexual partners, and condomless sex. Prevalence ratios and risk differences by race/ethnicity for each cycle were used to calculate average percent change in the estimates to determine if health disparities changed over time. RESULTS: During 2009-19, prevalence estimates for ever had sex, current sexual activity, and having four or more lifetime sexual partners decreased overall and across all racial-ethnic groups. For condomless sex, prevalence estimates increased over time overall (38.9-45.7%) and for Black (37.6-51.8%) and White (36.7-44.2%) students, but not Hispanic (45.1-43.8%) students. Significant differences in trends by race/ethnicity were observed for all variables. Data suggest that racial-ethnic health disparities for sexual behaviours decreased over time, except for condomless sex. CONCLUSIONS: Although racial-ethnic gaps in sexual behaviours may be shrinking for many behaviours, work is still needed to achieve health equity in risks associated with HIV/AIDS, sexually transmitted infections, and pregnancy.

Serological data can provide estimates of human exposure to both malaria vector and parasite based on antibody responses. A multiplex bead-based assay was developed to simultaneously detect IgG to Anopheles albimanus salivary gland extract (SGE) and 23 Plasmodium falciparum antigens among 4,185 participants enrolled in Artibonite department, Haiti in 2017. Logistic regression adjusted for participant- and site-level covariates and found children under 5 years and 6-15 years old had 3.7- and 5.4-fold increase in odds, respectively, of high anti-SGE IgG compared to participants >15 years. Seropositivity to P. falciparum CSP, Rh2_2030, and SEA-1 antigens was significantly associated with high IgG response against SGE, and participant enrollment at elevations under 200m was associated with higher anti-SGE IgG levels. The ability to approximate population exposure to malaria vectors through SGE serology data is very dependent by age categories, and SGE antigens can be easily integrated into a multiplex serological assay.

BACKGROUND: Differences in availability of medications for opioid use disorder (MOUD) buprenorphine and methadone exist. Factors that may influence such differences in availability include sociodemographic characteristics but research in this area is limited. We explore the association between county-level sociodemographic factors and MOUD treatment availability. METHODS: County-level Drug Enforcement Administration (DEA) data were used to determine the presence or absence of buprenorphine treatment or opioid treatment programs (OTPs) and the level of availability of these types of treatment in a county. Hurdle models were used to examine the associations of our covariates with any MOUD treatment availability and level of available treatment. RESULTS: The odds of a county having OTP availability were higher for counties with higher percentages of non-Hispanic Black and Hispanic populations and higher drug overdose death rates. Counties with higher percentages of persons in poverty and drug overdose death rates had higher odds of maximum potential buprenorphine treatment capacity, while counties with high percentages of persons without health insurance, with disability, and rural counties had lower odds. CONCLUSIONS: There are significant differences in the county-level availability of OTPs and buprenorphine treatment. Our findings expand on prior studies illustrating that barriers to accessing treatment persist and are not evenly distributed among sociodemographic groups, further study is needed to examine if barriers of availability translate to barriers in receiving treatment. Given the escalating overdose crisis in the U.S., expanding equitable availability of MOUD is critical. Informed strategies are needed to reach areas and populations in greatest need.

PURPOSE: Surveillance data are used for public health action, but the practice of analyzing data by single demographic characteristics may produce findings that reflect abstract categories rather than a person's lived experience. Intersectionality is a theoretical framework that advocates for individuals to be recognized as the whole of their identity and within context of power structures. Using the national Youth Risk Behavior Survey 2015-2019, we examined 5-year trends in experiencing violence, poor mental health, and suicidal risk behavior among US high school students using intersections of race/ethnicity and sex. METHODS: We used SUDAAN to calculate prevalence estimates and logistic regression models to assess for linear trends while accounting for the weighting and complex survey design. RESULTS: Among all students in aggregate, experiencing dating violence decreased while being threatened with a weapon at school and feeling persistently sad or hopeless increased over time; however, these trends did not apply to most students when stratified by identity. The one near-universal experience was that students in aggregate and almost all identities had an increased trend of skipping school because they felt unsafe there. DISCUSSION: By focusing on identities defined by two main drivers of health disparities-race/ethnicity and sex-we found that changes in risk behaviors did not occur equally among students and that prevalence estimates were highest among Black males, Black females, and Hispanic females. We outlined the power structures that frame the current educational environment. Patterns of health disparities can be highlighted by analyzing surveillance data through an intersectional lens.

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.

In March 2020, schools across the United States closed to reduce the transmission of SARS-CoV-2, the virus that causes COVID-19. As a result, youth experienced disruptions to their academic, social, and emotional support systems. In the spring and summer of 2020, high profile incidents of abject racism (highlighted by the murder of George Floyd, an unarmed black man killed by white police officers) led to racial tension, societal unrest, protests, and unprecedented levels of emotional distress among the US population [1]. School closures drastically limited the availability of services, such as meals and health services, as well as important connections to peers and supportive adults in the school setting. By late 2020, studies began to show that families with school-age youth were struggling with economic and food insecurity, with a greater burden among Black and Hispanic families and families with low income [2]. Many youths experienced poor mental health [3] and violence at home [4]. For a more comprehensive understanding of how the COVID-19 pandemic impacted student health and well-being, CDC administered the Adolescent Behaviors and Experiences Survey (ABES) among a nationally representative sample of high school students (grades 912) sampled through their schools JanuaryJune 2021 [5].