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Objectives The NIH All of Us Research Program (All of Us) is engaging a diverse community of more than 10 000 registered researchers using a robust engagement ecosystem model. We describe strategies used to build an ecosystem that attracts and supports a diverse and inclusive researcher community to use the All of Us dataset and provide metrics on All of Us researcher usage growth. Materials and Methods Researcher audiences and diversity categories were defined to guide a strategy. A researcher engagement strategy was codeveloped with program partners to support a researcher engagement ecosystem. An adapted ecological model guided the ecosystem to address multiple levels of influence to support All of Us data use. Statistics from the All of Us Researcher Workbench demographic survey describe trends in researchers' and institutional use of the Workbench and publication numbers. Results From 2022 to 2024, some 13 partner organizations and their subawardees conducted outreach, built capacity, or supported researchers and institutions in using the data. Trends indicate that Workbench registrations and use have increased over time, including among researchers underrepresented in the biomedical workforce. Data Use and Registration Agreements from minority-serving institutions also increased. Discussion All of Us built a diverse, inclusive, and growing research community via intentional engagement with researchers and via partnerships to address systemic data access issues. Future programs will provide additional support to researchers and institutions to ameliorate All of Us data use challenges. Conclusion The approach described helps address structural inequities in the biomedical research field to advance health equity. [ABSTRACT FROM AUTHOR]

Objectives The All of Us Research Program is a precision medicine initiative aimed at establishing a vast, diverse biomedical database accessible through a cloud-based data analysis platform, the Researcher Workbench (RW). Our goal was to empower the research community by co-designing the implementation of SAS in the RW alongside researchers to enable broader use of All of Us data. Materials and Methods Researchers from various fields and with different SAS experience levels participated in co-designing the SAS implementation through user experience interviews. Results Feedback and lessons learned from user testing informed the final design of the SAS application. Discussion The co-design approach is critical for reducing technical barriers, broadening All of Us data use, and enhancing the user experience for data analysis on the RW. Conclusion Our co-design approach successfully tailored the implementation of the SAS application to researchers' needs. This approach may inform future software implementations on the RW. [ABSTRACT FROM AUTHOR]

Background: Ensuring the optimum development of all children and their attainment of age-appropriate educational outcomes is of great interest to public health researchers and professionals. Bullying and mentoring have opposite effects on child development and educational attainment. Mentoring exerts protective effects on youths against risky behaviors; however, the protective effects of community-oriented natural or informal mentoring on educational outcomes and bullying are largely underexplored. We examine associations between mentoring, bullying, and educational outcomes among US school-aged children 6-17 years. Methods: We analyzed the 2011-2012 National Survey of Children's Health (N = 65,593) to estimate prevalence and odds of repeating a grade in school, lower school engagement, and bullying perpetration according to mentoring receipt and sociodemographic characteristics. Results: Overall, 5.4% of US school-aged children without a mentor perpetrated bullying against other children; 11.4% repeated more than one grade in school; and 23.0% had low school engagement. Children without mentors had 2.1 and 1.3 times higher adjusted odds, respectively, of bullying other children and low school engagement than those with mentors. Proportion of children who bullied others or repeated grades was higher among minority children. Conclusions: Findings indicate that mentoring may be a pathway for providing programs that prevent bullying and improve educational outcomes among school-aged children.

During my second year as a student I went on a community nursing placement I found out that creativity is a fundamental skill for working in the community. Unfortunately, it [...]

With over 4,500 deaths and counting, and new cases identified in two developed countries that are struggling and faltering in their handling of the epidemic, the 2014 Ebola Virus Disease (EVD) epidemic is unlike any of its kind ever encountered. The ability of some poor, resource-limited, developing countries in sub-Saharan Africa to efficiently handle the epidemic within their shores provides some lessons learned for the global health community. Among others, the 2014 EVD epidemic teaches us that it is time to put the "P" back in public and population health around the world. The global health community must support a sustainable strategy to mitigate Ebola virus and other epidemics both within and outside their shores, even after the cameras are gone. Ebola virus must not be called the disease of the poor and developing world.

Objectives: This study examined trends in geographical disparities in cardiovascular-disease (CVD) mortality in the United States between 1969 and 2011., Methods: National vital statistics data and the National Longitudinal Mortality Study were used to estimate regional, state, and county-level disparities in CVD mortality over time. Log-linear, weighted least squares, and Cox regression were used to analyze mortality trends and differentials., Results: During 1969-2011, CVD mortality rates declined fastest in New England and Mid-Atlantic regions and slowest in the Southeast and Southwestern regions. In 1969, the mortality rate was 9% higher in the Southeast than in New England, but the differential increased to 48% in 2011. In 2011, Southeastern states, Mississippi and Alabama, had the highest CVD mortality rates, nearly twice the rates for Minnesota and Hawaii. Controlling for individual-level covariates reduced state differentials. State- and county-level differentials in CVD mortality rates widened over time as geographical disparity in CVD mortality increased by 50% between 1969 and 2011. Area deprivation, smoking, obesity, physical inactivity, diabetes prevalence, urbanization, lack of health insurance, and lower access to primary medical care were all significant predictors of county-level CVD mortality rates and accounted for 52.7% of the county variance., Conclusions and Global Health Implications: Although CVD mortality has declined for all geographical areas in the United States, geographical disparity has widened over time as certain regions and states, particularly those in the South, have lagged behind in mortality reduction. Geographical disparities in CVD mortality reflect inequalities in socioeconomic conditions and behavioral risk factors. With the global CVD burden on the rise, monitoring geographical disparities, particularly in low- and middle-income countries, could indicate the extent to which reductions in CVD mortality are achievable and may help identify effective policy strategies for CVD prevention and control., Competing Interests: None.

Objectives: This study examined trends and socioeconomic and racial/ethnic disparities in cardiovascular disease (CVD) mortality in the United States between 1969 and 2013., Methods: National vital statistics data and the National Longitudinal Mortality Study were used to estimate racial/ethnic and area- and individual-level socioeconomic disparities in CVD mortality over time. Rate ratios and log-linear regression were used to model mortality trends and differentials., Results: Between 1969 and 2013, CVD mortality rates decreased by 2.66% per year for whites and 2.12% for blacks. Racial disparities and socioeconomic gradients in CVD mortality increased substantially during the study period. In 2013, blacks had 30% higher CVD mortality than whites and 113% higher mortality than Asians/Pacific Islanders. Compared to those in the most affluent group, individuals in the most deprived area group had 11% higher CVD mortality in 1969 but 40% higher mortality in 2007-2011. Education, income, and occupation were inversely associated with CVD mortality in both men and women. Men and women with low education and incomes had 46-76% higher CVD mortality risks than their counterparts with high education and income levels. Men in clerical, service, farming, craft, repair, construction, and transport occupations, and manual laborers had 30-58% higher CVD mortality risks than those employed in executive and managerial occupations., Conclusions and Global Health Implications: Socioeconomic and racial disparities in CVD mortality are marked and have increased over time because of faster declines in mortality among the affluent and majority populations. Disparities in CVD mortality may reflect inequalities in the social environment, behavioral risk factors such as smoking, obesity, physical inactivity, disease prevalence, and healthcare access and treatment. With rising prevalence of many chronic disease risk factors, the global burden of cardiovascular diseases is expected to increase further, particularly in low- and middle-income countries where over 80% of all CVD deaths occur., Competing Interests: None.

Objectives: We examined the extent to which area- and individual-level socioeconomic inequalities in cardiovascular-disease (CVD), heart disease, and stroke mortality among United States men and women aged 25-64 years changed between 1969 and 2011., Methods: National vital statistics data and the National Longitudinal Mortality Study were used to estimate area- and individual-level socioeconomic gradients in mortality over time. Rate ratios and log-linear and Cox regression were used to model mortality trends and differentials., Results: Area socioeconomic gradients in mortality from CVD, heart disease, and stroke increased substantially during the study period. Compared to those in the most affluent group, individuals in the most deprived area group had, respectively 35%, 29%, and 73% higher CVD, heart disease, and stroke mortality in 1969, but 120-121% higher mortality in 2007-2011. Gradients were steeper for women than for men. Education, income, and occupation were inversely associated with CVD, heart disease, and stroke mortality, with individual-level socioeconomic gradients being steeper during 1990-2002 than in 1979-1989. Individuals with low education and incomes had 2.7 to 3.7 times higher CVD, heart disease, and stroke mortality risks than their counterparts with high education and income levels., Conclusions and Global Health Implications: Although mortality declined for all US groups during 1969-2011, socioeconomic disparities in mortality from CVD, heart disease and stroke remained marked and increased over time because of faster declines in mortality among higher socioeconomic groups. Widening disparities in mortality may reflect increasing temporal areal inequalities in living conditions, behavioral risk factors such as smoking, obesity and physical inactivity, and access to and use of health services. With social inequalities and prevalence of smoking, obesity, and physical inactivity on the rise, most segments of the working-age population in low- and middle-income countries will likely experience increased cardiovascular-disease burden in terms of higher morbidity and mortality rates., Competing Interests: None.

Objectives: There is limited cross-national research on youth mortality. We examined age-and gender-variations in all-cause mortality among youth aged 15-34 years across 52 countries., Methods: Using the 2014 WHO mortality database, mortality rates for all countries were computed for the latest available year between 2007 and 2012. Rates, rate ratios, and ordinary least squares (OLS) and Poisson regression were used to analyze international variation in mortality., Results: Mortality rates among youth aged 15-34 years varied from a low of 28.4 deaths per 100,000 population for Hong Kong to a high of 250.6 for Russia and 619.1 for South Africa. For men aged 15-34, Singapore and Hong Kong had the lowest mortality rates (≈40 per 100,000), compared with South Africa and Russia with rates of 589.7 and 383.3, respectively. Global patterns in mortality among women were similar. Youth aged 15-24 in South Africa had 14 times higher mortality and those in the Philippines, Mexico, Russia, Colombia, and Brazil had 5-7 times higher mortality than those in Hong Kong. Youth aged 25-34 in Russia and South Africa had, respectively, 10 and 29 times higher mortality than their counterparts in Hong Kong. United States (US) had the 12th highest mortality rate among youth aged 15-24 and the 13th highest rate among youth aged 25-34. Overall, the US youth had 2-3 times higher rates of mortality than their counterparts in many industrialized countries including Hong Kong, Singapore, Netherlands, Switzerland, Germany, Norway, and Sweden. Income inequality, unemployment rate, and human development explained 50-66% of the global variance in youth mortality. Compared to the countries with low unemployment and income inequality and high human development levels, countries with high unemployment and income inequality and low human development had, respectively, 343%, 213%, and 205% higher risks of youth mortality., Conclusions and Global Health Implications: Marked international disparities in youth all-cause mortality largely reflect differences in violence and injury deaths and in such risk factors as unemployment, income inequality, human development, and alcohol consumption. The US ranks in the upper quartile of all-cause mortality, with youth in Canada and many western industrialized countries showing signifi cantly lower mortality risks than the US youth.