35 research outputs found

    Substance Abuse Treatment in Correctional versus Non-Correctional Settings: Analysis of Racial/Ethnic and Gender Differences

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    Background Alcohol and drug abuse are widespread in the US. Substance abuse treatment services are effective, but utilization of services is low, particularly among African Americans, Hispanics, and women. Substance abuse is strongly associated with incarceration, and African Americans and Hispanics make up a disproportionate percentage of individuals with substance abuse problems involved in the criminal justice system. High treatment need, low treatment uptake, and the association between substance abuse and incarceration have led, in part, to correctional institutions filling the treatment gap by increasingly providing safety-net treatment services. We sought to better understand racial/ethnic and gender differences in determinants of treatment location (jail or prison versus non-correctional settings) among treatment-seeking adults. Methods We used repeated cross-sectional data from the National Survey on Drug Use and Health (2002-2016) to identify White, African American, and Hispanic past-year substance abuse treatment participants (n=6,435). We tested the modifying roles of race/ethnicity and gender on the association between several exposure variables and treatment locus using multiple logistic regression. Results Ten percent of treatment participants utilized treatment services in a jail or prison, which varied by race/ethnicity (9% of Whites, 15% of African Americans, 12% of Hispanics) and by gender (11% of men, 9% of women). In our fitted models, we found that educational attainment and past-year employment status varied in effect size between African Americans and Whites. The associations for both variables were strongest among African Americans (Any college vs. Less than high school – adjusted Odds Ratio [aOR] = 0.23, 95% Confidence Interval [95% CI] = 0.08, 0.70; Ever unemployed vs. Never unemployed in the past year – aOR = 5.32, 95% CI = 1.94, 14.60). Health insurance status was significantly associated with treatment in a jail or prison only among Whites (Private vs. No insurance – aOR = 0.37, 95% CI = 0.19, 0.69). Co-occurring mental health diagnosis was significant only among African Americans (Any mental health diagnosis vs. none – aOR = 3.91, 95% CI = 1.38, 11.09). Employment and health insurance status were significant only among men (aOR = 2.18, 95% CI = 1.26, 3.77; aOR = 0.39, 95% CI = 0.22, 0.70, respectively). Conclusion We identified modifying roles for race/ethnicity and gender in the relationship between several factors and treatment utilization in a jail or prison versus non-correctional treatment settings. More numerous factors and stronger effect sizes were identified among African Americans and men in particular. Health promotion interventions promoting the uptake of substance abuse treatment should tailor services to align with the needs of those with the highest risk for incarceration

    Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

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    Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations

    Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

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    Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and developm nt investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    A Regional Health Equity Survey Report: Building Capacity to Address Health Equity in Northern Arizona.

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    This report describes the inspiration and results of the 2020 Regional Health Equity Survey (RHES). The RHES is designed to understand and strengthen research, practice, policy infrastructure, and organizational capacity to address locally identified health equity issues from a multisectoral approach. The RHES builds from the highly participatory 2017 Regional Health Equity Assessment (RHEA) conducted by the Northern Arizona University, Center for Health Equity Research. The RHEA, which aimed to inform dialogue among diverse partners and service delivery organizations so that novel solutions can be developed, implemented, and evaluated to address disparities that may be prioritized for collaborative intervention
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