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Key Points Question What proportion of persons across 52 US jurisdictions had detectable antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from July to September 2020? Findings In this repeated, cross-sectional study of 177 919 residual clinical specimens, the estimated percentage of persons in a jurisdiction with detectable SARS-CoV-2 antibodies ranged from fewer than 1% to 23%. Over 4 sampling periods in 42 of 49 jurisdictions with calculated estimates, fewer than 10% of people had detectable SARS-CoV-2 antibodies. Meaning While SARS-CoV-2 antibody prevalence estimates varied widely across jurisdictions, most people in the US did not have evidence of previous SARS-CoV-2 infection., Importance Case-based surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection likely underestimates the true prevalence of infections. Large-scale seroprevalence surveys can better estimate infection across many geographic regions. Objective To estimate the prevalence of persons with SARS-CoV-2 antibodies using residual sera from commercial laboratories across the US and assess changes over time. Design, Setting, and Participants This repeated, cross-sectional study conducted across all 50 states, the District of Columbia, and Puerto Rico used a convenience sample of residual serum specimens provided by persons of all ages that were originally submitted for routine screening or clinical management from 2 private clinical commercial laboratories. Samples were obtained during 4 collection periods: July 27 to August 13, August 10 to August 27, August 24 to September 10, and September 7 to September 24, 2020. Exposures Infection with SARS-CoV-2. Main Outcomes and Measures The proportion of persons previously infected with SARS-CoV-2 as measured by the presence of antibodies to SARS-CoV-2 by 1 of 3 chemiluminescent immunoassays. Iterative poststratification was used to adjust seroprevalence estimates to the demographic profile and urbanicity of each jurisdiction. Seroprevalence was estimated by jurisdiction, sex, age group (0-17, 18-49, 50-64, and ≥65 years), and metropolitan/nonmetropolitan status. Results Of 177 919 serum samples tested, 103 771 (58.3%) were from women, 26 716 (15.0%) from persons 17 years or younger, 47 513 (26.7%) from persons 65 years or older, and 26 290 (14.8%) from individuals living in nonmetropolitan areas. Jurisdiction-level seroprevalence over 4 collection periods ranged from less than 1% to 23%. In 42 of 49 jurisdictions with sufficient samples to estimate seroprevalence across all periods, fewer than 10% of people had detectable SARS-CoV-2 antibodies. Seroprevalence estimates varied between sexes, across age groups, and between metropolitan/nonmetropolitan areas. Changes from period 1 to 4 were less than 7 percentage points in all jurisdictions and varied across sites. Conclusions and Relevance This cross-sectional study found that as of September 2020, most persons in the US did not have serologic evidence of previous SARS-CoV-2 infection, although prevalence varied widely by jurisdiction. Biweekly nationwide testing of commercial clinical laboratory sera can play an important role in helping track the spread of SARS-CoV-2 in the US., This cross-sectional study examines the prevalence of persons with SARS-CoV-2 antibodies across the US and changes from July to September 2020.

Background Engaging diverse populations in biomedical research, including biospecimen donation, remains a national challenge. This study examined factors associated with an invitation to participate in biomedical research, intent to participate in biomedical research in the future, and participation in biomedical research and biospecimen donation among a diverse, multilingual, community-based sample across 3 distinct geographic areas. Methods Three National Cancer Institute-designated cancer centers engaged in community partnerships to develop and implement population health assessments, reaching a convenience sample of 4343 participants spanning their respective catchment areas. Data harmonization, multiple imputation, and multivariable logistic modeling were used. Results African Americans, Hispanic/Latinos, and other racial minority groups were more likely to be offered opportunities to participate in biomedical research compared to whites. Access to care, history of cancer, educational level, survey language, nativity, and rural residence also influenced opportunity, intent, and actual participation in biomedical research. Conclusions Traditionally underserved racial and ethnic groups reported heightened opportunity and interest in participating in biomedical research. Well-established community partnerships and long-standing community engagement around biomedical research led to a diverse sample being reached at each site and may in part explain the current study findings. However, this study illustrates an ongoing need to establish trust and diversify biomedical research participation through innovative and tailored approaches. National Cancer Institute-designated cancer centers have the potential to increase opportunities for diverse participation in biomedical research through community partnerships and engagement. Additional work remains to identify and address system-level and individual-level barriers to participation in both clinical trials and biospecimen donation for research.

Objectives The Medical Monitoring Project (MMP) is a public health surveillance system that provides representative estimates of the experiences and behaviors of adults with diagnosed HIV in the United States. In 2015, the sample design and frame of MMP changed from a system that only included HIV patients to one that captures the experiences of persons receiving and not receiving HIV care. We describe methods investigated for calculating survey weights, the approach chosen, and the benefits of using a dynamic surveillance registry as a sampling frame. Methods MMP samples adults with diagnosed HIV from the National HIV Surveillance System, the HIV case surveillance registry for the United States. In the methodological study presented in this manuscript, we compared methods that account for sample design and nonresponse, including weighting class adjustment vs. propensity weighting and a single-stage nonresponse adjustment vs. sequential adjustments for noncontact and nonresponse. We investigated how best to adjust for non-coverage using surveillance data to post-stratify estimates. Results After assessing these methods, we chose as our preferred procedure weighting class adjustments and a single-stage nonresponse adjustment. Classes were constructed using variables associated with respondents’ characteristics and important survey outcomes, chief among them laboratory results available from surveillance that served as a proxy for medical care. Conclusions MMPs weighting procedures reduced sample bias by leveraging auxiliary information on medical care available from the surveillance registry sampling frame. Expanding MMPs population of focus provides important information on characteristics of persons with diagnosed HIV that complement the information provided by the surveillance registry. MMP methods can be applied to other disease registries or population-monitoring systems when more detailed information is needed for a population, with the detailed information obtained efficiently from a representative sample of the population covered by the registry.

Key Points Question Could the amenability index be extended to account for differences in breast and colorectal cancer screening adherence among women residing in urban vs rural communities in the United States? Findings In a cross-sectional study of 2897 women from 11 US states, lower colorectal cancer screening adherence was found among rural-dwelling women compared with urban-dwelling women, but the prevalence of screening adherence for breast cancer was similar among women residing in urban and rural communities. Meaning Rural colorectal cancer screening disparities could be explained by slower diffusion of colorectal cancer screening and present significant preventable public health challenges, which could be attenuated through effective interventions to increase diffusion of screening modalities., This cross-sectional study compares the prevalence of breast and colorectal cancer screening adherence and identifies factors associated with screening adherence among women residing in rural vs urban areas., Importance Screening for breast and colorectal cancer has resulted in reductions in mortality; however, questions remain regarding how these interventions are being diffused to all segments of the population. If an intervention is less amenable to diffusion, it could be associated with disparities in mortality rates, especially in rural vs urban areas. Objectives To compare the prevalence of breast and colorectal cancer screening adherence and to identify factors associated with screening adherence among women residing in rural vs urban areas in the United States. Design, Setting, and Participants This population-based cross-sectional study of women aged 50 to 75 years in 11 states was conducted from 2017 to 2020. Main Outcomes and Measures Adherence to cancer screening based on the US Preventative Services Task Force guidelines. For breast cancer screening, women who had mammograms in the past 2 years were considered adherent. For colorectal cancer screening, women who had (1) a stool test in the past year, (2) a colonoscopy in the past 10 years, or (3) a sigmoidoscopy in the past 5 years were considered adherent. Rural status was coded using Rural Urban Continuum Codes, and other variables were assessed to identify factors associated with screening. Results The overall sample of 2897 women included 1090 (38.4%) rural residents; 2393 (83.5%) non-Hispanic White women; 263 (9.2%) non-Hispanic Black women; 68 (2.4%) Hispanic women; 1629 women (56.2%) aged 50 to 64 years; and 712 women (24.8%) with a high school education or less. Women residing in urban areas were significantly more likely to be adherent to colorectal cancer screening compared with women residing in rural areas (1429 [82%] vs 848 [78%]; P = .01), whereas the groups were equally likely to be adherent to breast cancer screening (1347 [81%] vs 830 [81%]; P = .78). Multivariable mixed-effects logistic regression analyses confirmed that rural residence was associated with lower odds of being adherent to colorectal cancer screening (odds ratio [OR], 0.81; 95% CI, 0.66-0.99, P = .047). Non-Hispanic Black race was associated with adherence to breast cancer screening guidelines (OR, 2.85; 95% CI, 1.78-4.56; P

The proportion of the U.S. population with Internet access has risen dramatically from one in five households (18%) in 1997 to nearly four out of five households (78.5%) in 2013. Consequently, the majority of market research and public opinion surveys are now conducted by Internet. Non-probability panels of volunteer respondents who agree to receive invitations to conduct surveys account for the largest share of online research. Despite the major role of non-probability online panels in surveys, we know little about the size and characteristics of their panelists. This paper investigates the potential coverage of Internet panels among American adults. Since online panels frequently partner with other panel organizations in order to generate samples that are larger or more diverse than their own panel, the population who participate in any online panels is more critical to evaluating potential coverage error and bias in this type of survey than the population of individual panels. The size and characteristics of the population of online panelists is estimated from a national dual frame random digit dialing survey conducted in spring 2015. We believe this is the first published estimate of the size of the total population engaged in online panels based upon a national probability survey. The total sample size for the survey was approximately 500, which is adequate to estimate that size of the population. We have also presented the characteristics of the online panelists in the sample since this is the first survey of that population. However, due to the small size of the subsample of online panelists, these findings should be treated as preliminary.

Obesity and lack of physical activity among children and adolescents are public health problems in the United States. This Presidential Youth Fitness Program (PYFP) evaluation measured program implementation in 13 middle schools and its effect on physical education practices, student fitness knowledge, and student physical activity and fitness levels. PYFP, a free program with the potential to positively affect student health and fitness outcomes, was designed to improve fitness education practices that are easily integrated into existing physical education programs. We used a 2-group (13 PYFP and 13 comparison schools) quasi-experimental design to collect FitnessGram assessments, accelerometry data, and surveys of students, physical education teachers, and administrators. Although the program was positively associated with student cardiovascular endurance and physical activity gains during the semester, schools underused professional development courses and fitness recognition resources.

Background: Health surveys of the general US population are inadequate for monitoring human immunodeficiency virus (HIV) infection because the relatively low prevalence of the disease ( Objective: To collect a nationally and locally representative probability sample of HIV-infected adults receiving medical care to monitor clinical and behavioral outcomes, supplementing the data in the National HIV Surveillance System. This paper describes the sample design and weighting methods for the Medical Monitoring Project (MMP) and provides estimates of the size and characteristics of this population. Methods: To develop a method for obtaining valid, representative estimates of the in-care population, we implemented a cross-sectional, three-stage design that sampled 23 jurisdictions, then 691 facilities, then 9,344 HIV patients receiving medical care, using probability-proportional-to-size methods. The data weighting process followed standard methods, accounting for the probabilities of selection at each stage and adjusting for nonresponse and multiplicity. Nonresponse adjustments accounted for differing response at both facility and patient levels. Multiplicity adjustments accounted for visits to more than one HIV care facility. Results: MMP used a multistage stratified probability sampling design that was approximately self-weighting in each of the 23 project areas and nationally. The probability sample represents the estimated 421,186 HIV-infected adults receiving medical care during January through April 2009. Methods were efficient (i.e., induced small, unequal weighting effects and small standard errors for a range of weighted estimates). Conclusion: The information collected through MMP allows monitoring trends in clinical and behavioral outcomes and informs resource allocation for treatment and prevention activities.

Background Posttraumatic stress disorder (PTSD) has been studied largely among adults and in the context of intentional, collective experiences such as war and terrorism. Far less is known about PTSD among adolescents and resulting from massive industrial accidents. Such an accident in Toulouse, France, 10 days after the World Trade Center disaster, provided an opportunity to examine its effects among adolescents already sensitized by media coverage of the World Trade Center disaster. Objectives (1) To assess the presence of symptoms consistent with PTSD (SCW-PTSD) among adolescents in Toulouse after a massive industrial accident, (2) to determine the “excess” of SCW-PTSD among those directly exposed vs those nondirectly exposed, and (3) to examine dosage effects for exposure and the cumulative effect on PTSD of accident-related experiences. Design, Setting, and Participants A survey containing questions on exposure and SCW-PTSD was administered to students aged 11 years, 13 years, 15 years, and 17 years who were enrolled in randomly selected, grade-stratified classrooms from schools for directly exposed students (n = 577) in Toulouse and nondirectly exposed students (n = 900) in the region. Main Outcome Measure The prevalence of SCW-PTSD among directly exposed and nondirectly exposed students. Results Nine months after the industrial accident, 44.6% of 11- and 13-year-old directly exposed students and 28.5% of 15- and 17-year-old directly exposed students still showed SCW-PTSD, compared with 22.1% of 11- and 13-year-old nondirectly exposed students and 4.4% of 15-year-old nondirectly exposed students. Among 11- and 13-year-olds, the likelihood of having SCW-PTSD was higher for girls who were enrolled in elementary schools, were personally injured, and had severe damage at home, as opposed to boys who were high-school students without severe damage at home or personal injury. Among the 15- and 17-year-olds, being a girl, 17 years old, and personally injured increased the likelihood of having SCW-PTSD, as opposed to 15-year-old boys who were not injured. The effects of injuries were cumulative: students injured personally and with an injured family member were more likely to have SCW-PTSD than those experiencing either personal or family injury but not both. Excess of SCW-PTSD attributable to direct exposure was 50.5% for 11-year-olds, 49.3% for 13-year-olds, and 73.5% for 15-year-olds. Conclusions A substantial proportion of Toulouse adolescents still had SCW-PTSD 9 months after the accident. Directly exposed students were far more likely to show SCW-PTSD than those nondirectly exposed, but both groups had SCW-PTSD at rates that were higher than expected. The symptoms were associated with demographic characteristics and direct experiences of trauma. Higher rates applied to students who were personally injured with injured family members and severe damage at home. Students with these characteristics predictive of SCW-PTSD should be given prompt attention to avoid long-lasting effects.

Background: Violent behavior among adolescents is a significant problem worldwide, and a cross-national comparison of adolescent violent behaviors can provide information about the development and pattern of physical violence in young adolescents. Objectives: To determine and compare frequencies of adolescent violence-related behaviors in 5 countries and to examine associations between violence-related behaviors and potential explanatory characteristics. Design, Setting, and Participants: Cross-sectional, school-based nationally representative survey at ages 11.5, 13.5, and 15.5 years in 5 countries (Ireland, Israel, Portugal, Sweden, and the United States). Main Outcome Measures: Frequency of physical fighting, bullying, weapon carrying, and fighting injuries in relation to other risk behaviors and characteristics in home and school settings. Results: Fighting frequency among US youth was similar to that of all 5 countries (nonfighters: US, 60.2%; mean frequency of 5 countries, 60.2%), as were the frequencies of weapon carrying (noncarriers: US, 89.6%; mean frequency of 5 countries, 89.6%) and fighting injury (noninjured: US, 84.5%; mean frequency of 5 countries, 84.6%). Bullying frequency varied widely cross-nationally (nonbullies: from 57.0% for Israel to 85.2% for Sweden). Fighting was most highly associated with smoking, drinking, feeling irritable or bad tempered, and having been bullied. Conclusions: Adolescents in 5 countries behaved similarly in their expression of violence-related behaviors. Occasional fighting and bullying were common, whereas frequent fighting, frequent bullying, any weapon carrying, or any fighting injury were infrequent behaviors. These findings were consistent across countries, with little cross-national variation except for bullying rates. Traditional risk-taking behaviors (smoking and drinking) and being bullied were highly associated with the expression of violence-related behavior.

To determine the prevalence, risk factors, and risk behaviors associated with depressive symptoms in a nationally representative, cross-sectional sample of young adolescents.A school-based survey collected through self-administered questionnaires in grades 6, 8, and 10 in 1996.Schools in the United States.9863 students in grades 6, 8, and 10 (average ages, 11, 13, and 15).Depressive symptoms, substance use, somatic symptoms, scholastic behaviors, and involvement in bullying.Eighteen percent of youths reported symptoms of depression. A higher proportion of females (25%) reported depressive symptoms than males (10%). Prevalence of depressive symptoms increased by age for both males and females. Among American Indian youths, 29% reported depressive symptoms, as compared with 22% of Hispanic, 18% of white, 17% of Asian American, and 15% of African American youths. Youths who were frequently involved in bullying, either as perpetrators or as victims, were more than twice as likely to report depressive symptoms than those who were not involved in bullying. A significantly higher percentage of youths who reported using substances reported depressive symptoms as compared with other youths. Similarly, youths who reported experiencing somatic symptoms also reported significantly higher proportions of depressive symptoms than other youths.Depression is a substantial and largely unrecognized problem among young adolescents that warrants an increased need and opportunity for identification and intervention at the middle school level. Understanding differences in prevalence between males and females and among racial/ethnic groups may be important to the recognition and treatment of depression among youths.

ContextTobacco products continue to be widely accessible to minors. Between 1997 and 1999, the US Food and Drug Administration (FDA) conducted more than 150,000 tobacco sales age-restriction compliance checks. Data obtained from these checks provide important guidance for curbing illegal sales.ObjectiveTo determine which elements of the compliance checks were most highly associated with illegal sales and thereby inform best practices for conducting efficient compliance check programs.Design and SettingCross-sectional analysis of FDA compliance checks in 110,062 unique establishments in 36 US states and the District of Columbia.Main Outcome MeasureIllegal sales of tobacco to minors at compliance checks; association of illegal sales with variables such as age and sex of the minor.ResultsThe rate of illegal sales for all first compliance checks in unique stores was 26.6%. Clerk failure to request proof of age was strongly associated with illegal sales (uncorrected sales rate, 10.5% compared with 89.5% sales when proof was not requested; multivariate-adjusted odds ratio [OR], 0.03; 95% confidence interval [CI], 0.03-0.04). Other factors associated with increased illegal sales were employment of older minors to make the purchase attempt (adjusted ORs for 16- and 17-year-old minors compared with 15-year-olds were 1.52 [95% CI, 1.46-1.63] and 2.43 [95% CI, 2.31-2.59], respectively), attempt to purchase smokeless tobacco (adjusted OR, 2.16 [95% CI, 1.90-2.45] vs cigarette purchase attempts), and performing checks at or after 5 PM (adjusted OR, 1.28 [95% CI, 1.21-1.35] vs before 5 PM). Female sex of clerk and minor, Saturday checks, type of store (convenience store selling gas, gas station, drugstore, supermarket and general merchandise), and rural store locations also were associated with increased illegal sales.ConclusionsThis analysis found that a request for age verification strongly predicted compliance with the law. The results suggest several ways in which the process of compliance checks might be optimized.

Recognizing that household respondents have difficulty recalling past events, the National Medical Care Expenditure Survey incorporated a record check component. For 12,000 persons included in the Medical Provider Survey, two data sources exist for health care events: household survey responses and provider record abstractions. This investigation compared medical conditions associated with the 35,000 visits, to conclude that agreement between sources was weak. Households tended to report fewer conditions per visit and familiar conditions, whereas providers reported related but different diagnoses. Levels of provider agreement with household reports ranged from 1% for upper extremity and shoulder impairments to 86% for pregnancy care and delivery. Over all 63 categories, providers concurred with household condition reports 40% of the time. Broader categories created by collapsing conditions substantially increased agreement levels. Analyses of household-provider agreement suggest that questionnair...

Background The Behavioral Risk Factor Surveillance System (BRFSS) is a network of health-related telephone surveys--conducted by all 50 states, the District of Columbia, and participating US territories—that receive technical assistance from CDC. Data users often aggregate BRFSS state samples for national estimates without accounting for state-level sampling, a practice that could introduce bias because the weighted distributions of the state samples do not always adhere to national demographic distributions. Methods This article examines six methods of reweighting, which are then compared with key health indicator estimates from the National Health Interview Survey (NHIS) based on 2013 data. Results Compared to the usual stacking approach, all of the six new methods reduce the variance of weights and design effect at the national level, and some also reduce the estimated bias. This article also provides a comparison of the methods based on the variances induced by unequal weighting as well as the bias reduction induced by raking at the national level, and recommends a preferred method. Conclusions The new method leads to weighted distributions that more accurately reproduce national demographic characteristics. While the empirical results for key estimates were limited to a few health indicators, they also suggest reduction in potential bias and mean squared error. To the extent that survey outcomes are associated with these demographic characteristics, matching the national distributions will reduce bias in estimates of these outcomes at the national level.