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Showing papers on "Poison control published in 2018"


Journal ArticleDOI
TL;DR: More timely and comprehensive surveillance data are essential to inform efforts to prevent and respond to opioid overdoses; intensified prevention and response measures are urgently needed to curb deaths involving prescription and illicit opioids, specifically IMF.
Abstract: The 63,632 drug overdose deaths in the United States in 2016 represented a 21.4% increase from 2015; two thirds of these deaths involved an opioid (1). From 2015 to 2016, drug overdose deaths increased in all drug categories examined; the largest increase occurred among deaths involving synthetic opioids other than methadone (synthetic opioids), which includes illicitly manufactured fentanyl (IMF) (1). Since 2013, driven largely by IMF, including fentanyl analogs (2-4), the current wave of the opioid overdose epidemic has been marked by increases in deaths involving synthetic opioids. IMF has contributed to increases in overdose deaths, with geographic differences reported (1). CDC examined state-level changes in death rates involving all drug overdoses in 50 states and the District of Columbia (DC) and those involving synthetic opioids in 20 states, during 2013-2017. In addition, changes in death rates from 2016 to 2017 involving all opioids and opioid subcategories,* were examined by demographics, county urbanization levels, and by 34 states and DC. Among 70,237 drug overdose deaths in 2017, 47,600 (67.8%) involved an opioid.† From 2013 to 2017, drug overdose death rates increased in 35 of 50 states and DC, and significant increases in death rates involving synthetic opioids occurred in 15 of 20 states, likely driven by IMF (2,3). From 2016 to 2017, overdose deaths involving all opioids and synthetic opioids increased, but deaths involving prescription opioids and heroin remained stable. The opioid overdose epidemic continues to worsen and evolve because of the continuing increase in deaths involving synthetic opioids. Provisional data from 2018 indicate potential improvements in some drug overdose indicators;§ however, analysis of final data from 2018 is necessary for confirmation. More timely and comprehensive surveillance data are essential to inform efforts to prevent and respond to opioid overdoses; intensified prevention and response measures are urgently needed to curb deaths involving prescription and illicit opioids, specifically IMF.

1,544 citations


Journal ArticleDOI
Ali H. Mokdad1, Katherine Ballestros1, Michelle Echko1, Scott D Glenn1, Helen E Olsen1, Erin C Mullany1, Alexander Lee1, Abdur Rahman Khan2, Alireza Ahmadi3, Alireza Ahmadi4, Alize J. Ferrari5, Alize J. Ferrari1, Alize J. Ferrari6, Amir Kasaeian7, Andrea Werdecker, Austin Carter1, Ben Zipkin1, Benn Sartorius8, Benn Sartorius9, Berrin Serdar10, Bryan L. Sykes11, Christopher Troeger1, Christina Fitzmaurice1, Christina Fitzmaurice12, Colin D. Rehm13, Damian Santomauro5, Damian Santomauro6, Damian Santomauro1, Daniel Kim14, Danny V. Colombara1, David C. Schwebel15, Derrick Tsoi1, Dhaval Kolte16, Elaine O. Nsoesie1, Emma Nichols1, Eyal Oren17, Fiona J Charlson6, Fiona J Charlson1, Fiona J Charlson5, George C Patton18, Gregory A. Roth1, H. Dean Hosgood19, Harvey Whiteford1, Harvey Whiteford5, Harvey Whiteford6, Hmwe H Kyu1, Holly E. Erskine6, Holly E. Erskine1, Holly E. Erskine5, Hsiang Huang20, Ira Martopullo1, Jasvinder A. Singh15, Jean B. Nachega21, Jean B. Nachega22, Jean B. Nachega23, Juan Sanabria24, Juan Sanabria25, Kaja Abbas26, Kanyin Ong1, Karen M. Tabb27, Kristopher J. Krohn1, Leslie Cornaby1, Louisa Degenhardt28, Louisa Degenhardt1, Mark Moses1, Maryam S. Farvid29, Max Griswold1, Michael H. Criqui30, Michelle L. Bell31, Minh Nguyen1, Mitch T Wallin32, Mitch T Wallin33, Mojde Mirarefin1, Mostafa Qorbani, Mustafa Z. Younis34, Nancy Fullman1, Patrick Liu1, Paul S Briant1, Philimon Gona35, Rasmus Havmoller4, Ricky Leung36, Ruth W Kimokoti37, Shahrzad Bazargan-Hejazi38, Shahrzad Bazargan-Hejazi39, Simon I. Hay1, Simon I. Hay40, Simon Yadgir1, Stan Biryukov1, Stein Emil Vollset1, Stein Emil Vollset41, Tahiya Alam1, Tahvi Frank1, Talha Farid2, Ted R. Miller42, Ted R. Miller43, Theo Vos1, Till Bärnighausen29, Till Bärnighausen44, Tsegaye Telwelde Gebrehiwot45, Yuichiro Yano46, Ziyad Al-Aly47, Alem Mehari48, Alexis J. Handal49, Amit Kandel50, Ben Anderson51, Brian J. Biroscak31, Brian J. Biroscak52, Dariush Mozaffarian53, E. Ray Dorsey54, Eric L. Ding29, Eun-Kee Park55, Gregory R. Wagner29, Guoqing Hu56, Honglei Chen57, Jacob E. Sunshine51, Jagdish Khubchandani58, Janet L Leasher59, Janni Leung51, Janni Leung6, Joshua A. Salomon29, Jürgen Unützer51, Leah E. Cahill29, Leah E. Cahill60, Leslie T. Cooper61, Masako Horino, Michael Brauer62, Michael Brauer1, Nicholas J K Breitborde63, Peter J. Hotez64, Roman Topor-Madry65, Roman Topor-Madry66, Samir Soneji67, Saverio Stranges68, Spencer L. James1, Stephen M. Amrock69, Sudha Jayaraman70, Tejas V. Patel, Tomi Akinyemiju15, Vegard Skirbekk41, Vegard Skirbekk71, Yohannes Kinfu72, Zulfiqar A Bhutta73, Jost B. Jonas44, Christopher J L Murray1 
Institute for Health Metrics and Evaluation1, University of Louisville2, Kermanshah University of Medical Sciences3, Karolinska Institutet4, Centre for Mental Health5, University of Queensland6, Tehran University of Medical Sciences7, South African Medical Research Council8, University of KwaZulu-Natal9, University of Colorado Boulder10, University of California, Irvine11, Fred Hutchinson Cancer Research Center12, Montefiore Medical Center13, Northeastern University14, University of Alabama at Birmingham15, Brown University16, San Diego State University17, University of Melbourne18, Albert Einstein College of Medicine19, Cambridge Health Alliance20, University of Pittsburgh21, Johns Hopkins University22, University of Cape Town23, Marshall University24, Case Western Reserve University25, University of London26, University of Illinois at Urbana–Champaign27, National Drug and Alcohol Research Centre28, Harvard University29, University of California, San Diego30, Yale University31, Georgetown University32, Veterans Health Administration33, Jackson State University34, University of Massachusetts Boston35, State University of New York System36, Simmons College37, University of California, Los Angeles38, Charles R. Drew University of Medicine and Science39, University of Oxford40, Norwegian Institute of Public Health41, Curtin University42, Pacific Institute43, Heidelberg University44, Jimma University45, Northwestern University46, Washington University in St. Louis47, Howard University48, University of New Mexico49, University at Buffalo50, University of Washington51, University of South Florida52, Tufts University53, University of Rochester Medical Center54, Kosin University55, Central South University56, Michigan State University57, Ball State University58, Nova Southeastern University59, Dalhousie University60, Mayo Clinic61, University of British Columbia62, Ohio State University63, Baylor University64, Wrocław Medical University65, Jagiellonian University Medical College66, Dartmouth College67, University of Western Ontario68, Oregon Health & Science University69, Virginia Commonwealth University70, Columbia University71, University of Canberra72, Aga Khan University73
10 Apr 2018-JAMA
TL;DR: There are wide differences in the burden of disease at the state level and specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention.
Abstract: Introduction Several studies have measured health outcomes in the United States, but none have provided a comprehensive assessment of patterns of health by state. Objective To use the results of the Global Burden of Disease Study (GBD) to report trends in the burden of diseases, injuries, and risk factors at the state level from 1990 to 2016. Design and Setting A systematic analysis of published studies and available data sources estimates the burden of disease by age, sex, geography, and year. Main Outcomes and Measures Prevalence, incidence, mortality, life expectancy, healthy life expectancy (HALE), years of life lost (YLLs) due to premature mortality, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 333 causes and 84 risk factors with 95% uncertainty intervals (UIs) were computed. Results Between 1990 and 2016, overall death rates in the United States declined from 745.2 (95% UI, 740.6 to 749.8) per 100 000 persons to 578.0 (95% UI, 569.4 to 587.1) per 100 000 persons. The probability of death among adults aged 20 to 55 years declined in 31 states and Washington, DC from 1990 to 2016. In 2016, Hawaii had the highest life expectancy at birth (81.3 years) and Mississippi had the lowest (74.7 years), a 6.6-year difference. Minnesota had the highest HALE at birth (70.3 years), and West Virginia had the lowest (63.8 years), a 6.5-year difference. The leading causes of DALYs in the United States for 1990 and 2016 were ischemic heart disease and lung cancer, while the third leading cause in 1990 was low back pain, and the third leading cause in 2016 was chronic obstructive pulmonary disease. Opioid use disorders moved from the 11th leading cause of DALYs in 1990 to the 7th leading cause in 2016, representing a 74.5% (95% UI, 42.8% to 93.9%) change. In 2016, each of the following 6 risks individually accounted for more than 5% of risk-attributable DALYs: tobacco consumption, high body mass index (BMI), poor diet, alcohol and drug use, high fasting plasma glucose, and high blood pressure. Across all US states, the top risk factors in terms of attributable DALYs were due to 1 of the 3 following causes: tobacco consumption (32 states), high BMI (10 states), or alcohol and drug use (8 states). Conclusions and Relevance There are wide differences in the burden of disease at the state level. Specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention. These data can be used to inform national health priorities for research, clinical care, and policy.

962 citations


Journal ArticleDOI
TL;DR: A non-flammable fluorinated electrolyte forms a few-nanometre-thick interface both at the anode and the cathode that stabilizes lithium-metal battery operation with high-voltage cathodes.
Abstract: Rechargeable Li-metal batteries using high-voltage cathodes can deliver the highest possible energy densities among all electrochemistries. However, the notorious reactivity of metallic lithium as well as the catalytic nature of high-voltage cathode materials largely prevents their practical application. Here, we report a non-flammable fluorinated electrolyte that supports the most aggressive and high-voltage cathodes in a Li-metal battery. Our battery shows high cycling stability, as evidenced by the efficiencies for Li-metal plating/stripping (99.2%) for a 5 V cathode LiCoPO4 (~99.81%) and a Ni-rich LiNi0.8Mn0.1Co0.1O2 cathode (~99.93%). At a loading of 2.0 mAh cm−2, our full cells retain ~93% of their original capacities after 1,000 cycles. Surface analyses and quantum chemistry calculations show that stabilization of these aggressive chemistries at extreme potentials is due to the formation of a several-nanometre-thick fluorinated interphase.

840 citations


Journal ArticleDOI
TL;DR: To estimate medical expenditures attributable to older adult falls using a methodology that can be updated annually to track these expenditures over time, a database of hospital admissions and accident and emergency department visits is constructed.
Abstract: Objectives To estimate medical expenditures attributable to older adult falls using a methodology that can be updated annually to track these expenditures over time. Design Population data from the National Vital Statistics System (NVSS) and cost estimates from the Web-based Injury Statistics Query and Reporting System (WISQARS) for fatal falls, quasi-experimental regression analysis of data from the Medicare Current Beneficiaries Survey (MCBS) for nonfatal falls. Setting U.S. population aged 65 and older during 2015. Participants Fatal falls from the 2015 NVSS (N=28,486); respondents to the 2011 MCBS (N=3,460). Measurements Total spending attributable to older adult falls in the United States in 2015, in dollars. Results In 2015, the estimated medical costs attributable to fatal and nonfatal falls was approximately $50.0 billion. For nonfatal falls, Medicare paid approximately $28.9 billion, Medicaid $8.7 billion, and private and other payers $12.0 billion. Overall medical spending for fatal falls was estimated to be $754 million. Conclusion Older adult falls result in substantial medical costs. Measuring medical costs attributable to falls will provide vital information about the magnitude of the problem and the potential financial effect of effective prevention strategies.

735 citations


Journal ArticleDOI
TL;DR: There is a large population of U.S. children and adolescents who have been diagnosed with ADHD by a health care provider, and many, but not all, of these children received treatment that appears to be consistent with professional guidelines, though the survey questions are limited in detail about specific treatment types received.
Abstract: The purpose of this study is to estimate the national prevalence of parent-reported attention deficit/hyperactivity disorder (ADHD) diagnosis and treatment among U.S. children 2–17 years of age usi...

694 citations


Journal ArticleDOI
TL;DR: In this article, the authors use historical data from colonial India to estimate the impact of India's vast railroad network and find that railroads: (1) decreased trade costs and inter-regional price gaps; (2) increased interregional and international trade; (3) eliminated the responsiveness of local prices to local productivity shocks (but increased the transmission of these shocks between regions); (4) increased the level of real income (but harmed neighboring regions without railroad access); (5) decreased the volatility of real incomes; and (6), a sufficient statistic for the effect
Abstract: How large are the benefits of transportation infrastructure projects, and what explains these benefits? To shed new light on these questions, I collect archival data from colonial India and use it to estimate the impact of India's vast railroad network. Guided by six predictions from a general equilibrium trade model, I find that railroads: (1) decreased trade costs and interregional price gaps; (2) increased interregional and international trade; (3) eliminated the responsiveness of local prices to local productivity shocks (but increased the transmission of these shocks between regions); (4) increased the level of real income (but harmed neighboring regions without railroad access); (5) decreased the volatility of real income; and (6), a sufficient statistic for the effect of railroads on welfare in the model accounts for virtually all of the observed reduced-form impact of railroads on real income. I find similar results from an instrumental variable specification, no spurious effects from over 40,000 km of lines that were approved but never built, and tight bounds on the estimated impact of railroads. These results suggest that transportation infrastructure projects can improve welfare significantly, and do so because they allow regions to exploit gains from trade.

666 citations


Journal ArticleDOI
TL;DR: Various circumstances contributed to suicides among persons with and without known mental health conditions, including relationship problems/loss, life stressors, and recent/impending crises were common across groups.
Abstract: INTRODUCTION Suicide rates in the United States have risen nearly 30% since 1999, and mental health conditions are one of several factors contributing to suicide. Examining state-level trends in suicide and the multiple circumstances contributing to it can inform comprehensive state suicide prevention planning. METHODS Trends in age-adjusted suicide rates among persons aged ≥10 years, by state and sex, across six consecutive 3-year periods (1999-2016), were assessed using data from the National Vital Statistics System for 50 states and the District of Columbia. Data from the National Violent Death Reporting System, covering 27 states in 2015, were used to examine contributing circumstances among decedents with and without known mental health conditions. RESULTS During 1999-2016, suicide rates increased significantly in 44 states, with 25 states experiencing increases >30%. Rates increased significantly among males and females in 34 and 43 states, respectively. Fifty-four percent of decedents in 27 states in 2015 did not have a known mental health condition. Among decedents with available information, several circumstances were significantly more likely among those without known mental health conditions than among those with mental health conditions, including relationship problems/loss (45.1% versus 39.6%), life stressors (50.5% versus 47.2%), and recent/impending crises (32.9% versus 26.0%), but these circumstances were common across groups. CONCLUSIONS Suicide rates increased significantly across most states during 1999-2016. Various circumstances contributed to suicides among persons with and without known mental health conditions. IMPLICATIONS FOR PUBLIC HEALTH PRACTICE States can use a comprehensive evidence-based public health approach to prevent suicide risk before it occurs, identify and support persons at risk, prevent reattempts, and help friends and family members in the aftermath of a suicide.

509 citations


Journal ArticleDOI
TL;DR: Nationally, the prevalence of opioid use disorder more than quadrupled during 1999–2014 and increasing trends over time were observed in all 28 states with available data (p<0.05).
Abstract: Opioid use by pregnant women represents a significant public health concern given the association of opioid exposure and adverse maternal and neonatal outcomes, including preterm labor, stillbirth, neonatal abstinence syndrome, and maternal mortality (1,2). State-level actions are critical to curbing the opioid epidemic through programs and policies to reduce use of prescription opioids and illegal opioids including heroin and illicitly manufactured fentanyl, both of which contribute to the epidemic (3). Hospital discharge data from the 1999–2014 Healthcare Cost and Utilization Project (HCUP) were analyzed to describe U.S. national and state-specific trends in opioid use disorder documented at delivery hospitalization. Nationally, the prevalence of opioid use disorder more than quadrupled during 1999–2014 (from 1.5 per 1,000 delivery hospitalizations to 6.5; p<0.05). Increasing trends over time were observed in all 28 states with available data (p<0.05). In 2014, prevalence ranged from 0.7 in the District of Columbia (DC) to 48.6 in Vermont. Continued national, state, and provider efforts to prevent, monitor, and treat opioid use disorder among reproductive-aged and pregnant women are needed. Efforts might include improved access to data in Prescription Drug Monitoring Programs, increased substance abuse screening, use of medication-assisted therapy, and substance abuse treatment referrals.

508 citations


Journal ArticleDOI
TL;DR: A comprehensive review of the state-of-the-art AV perception technology available today, which highlights future research areas and draws conclusions about the most effective methods for AV perception and its effect on localization and mapping.
Abstract: Perception system design is a vital step in the development of an autonomous vehicle (AV). With the vast selection of available off-the-shelf schemes and seemingly endless options of sensor systems implemented in research and commercial vehicles, it can be difficult to identify the optimal system for one’s AV application. This article presents a comprehensive review of the state-of-the-art AV perception technology available today. It provides up-to-date information about the advantages, disadvantages, limits, and ideal applications of specific AV sensors; the most prevalent sensors in current research and commercial AVs; autonomous features currently on the market; and localization and mapping methods currently implemented in AV research. This information is useful for newcomers to the AV field to gain a greater understanding of the current AV solution landscape and to guide experienced researchers towards research areas requiring further development. Furthermore, this paper highlights future research areas and draws conclusions about the most effective methods for AV perception and its effect on localization and mapping. Topics discussed in the Perception and Automotive Sensors section focus on the sensors themselves, whereas topics discussed in the Localization and Mapping section focus on how the vehicle perceives where it is on the road, providing context for the use of the automotive sensors. By improving on current state-of-the-art perception systems, AVs will become more robust, reliable, safe, and accessible, ultimately providing greater efficiency, mobility, and safety benefits to the public.

486 citations


Journal ArticleDOI
TL;DR: Findings suggest that unwanted sexual contact appears to be most prevalent on college campuses, including sexual coercion, followed by incapacitated rape, and completed or attempted forcible rape.
Abstract: Sexual assault is a pervasive problem on university and college campuses in the United States that has garnered growing national attention, particularly in the past year. This is the first study to systematically review and synthesize prevalence findings from studies on campus sexual assault (CSA) published since 2000 ( n = 34). The range of prevalence findings for specific forms of sexual victimization on college campuses (i.e., forcible rape, unwanted sexual contact, incapacitated rape, sexual coercion, and studies' broad definitions of CSA/rape) is provided, and methodological strengths and limitations in the empirical body of research on CSA are discussed. Prevalence findings, research design, methodology, sampling techniques, and measures, including the forms of sexual victimization measured, are presented and evaluated across studies. Findings suggest that unwanted sexual contact appears to be most prevalent on college campuses, including sexual coercion, followed by incapacitated rape, and completed or attempted forcible rape. Additionally, several studies measured broad constructs of sexual assault that typically include combined forms of college-based sexual victimization (i.e., forcible completed or attempted rape, unwanted sexual contact, and/or sexual coercion). Extensive variability exists within findings for each type of sexual victimization measured, including those that broadly measure sexual assault, which is largely explained by differences in sampling strategies and overall study designs as well as measures of sexual assault used in studies. Implications for findings and recommendations for future research on the prevalence of college-based sexual victimization are provided.

458 citations


Journal ArticleDOI
TL;DR: An overview of the changing US epidemiology of cannabis use and associated problems suggests national increases in cannabis potency, prenatal and unintentional childhood exposure; and in adults, increased use, CUD, cannabis-related emergency room visits, and fatal vehicle crashes.

Journal ArticleDOI
21 Sep 2018-Science
TL;DR: The overall mortality rate for unintentional drug poisonings in the United States grew exponentially from 1979 through 2016, suggesting that the current opioid epidemic may be a more recent manifestation of an ongoing longer-term process.
Abstract: INTRODUCTION The epidemic of substance use disorders and drug overdose deaths is a growing public health crisis in the United States Every day, 174 people die from drug overdoses Currently, opioids (including prescription opioids, heroin, and synthetic opioids such as fentanyl and its chemical analogs) are the leading cause of overdose deaths The overdose mortality data can reveal the complex and evolving dynamics of drug use in the United States RATIONALE Reports on the US drug overdose epidemic tend to focus on changes in yearly statistics Improved understanding of the long-term dynamics of the overdose epidemic may aid in the development of more effective epidemic prevention and control strategies At present, there are no reliable methods to forecast the likely future course of the epidemic We focused on deaths from overdoses as a relatively reliable metric of the epidemic because all deaths are required to be reported in all US states and territories using the standardized International Classification of Diseases In an effort to understand the epidemic dynamics and perhaps predict its future course, we analyzed records of 599,255 deaths from 1979 through 2016 from the National Vital Statistics System where unintentional drug poisoning was identified as the main cause of death We examined the time course of the overall number of deaths; the contributions of individual drugs (prescription opioids, heroin, synthetic opioids like fentanyl, methadone, cocaine, methamphetamine) to the overall curve; changes in the populations most affected by each drug as measured by demographic factors of age, sex, race, and urbanicity; and changes in the geographic distribution of deaths due to each drug as measured by the county of residence of each decedent RESULTS The overall mortality rate for unintentional drug poisonings in the United States grew exponentially from 1979 through 2016 This exponentially increasing mortality rate has tracked along a remarkably smooth trajectory (log linear R 2 = 099) for at least 38 years (left panel) By contrast, the trajectories of mortality rates from individual drugs have not tracked along exponential trajectories Cocaine was a leading cause in 2005–2006, which was overtaken successively by prescription opioids, then heroin, and then synthetic opioids such as fentanyl The demographic patterns of deaths due to each drug have also shown substantial variability over time Until 2010, most deaths were in 40- to 50-year-old persons, from cocaine and increasingly from prescription drugs Deaths from heroin and then fentanyl have subsequently predominated, affecting younger persons, ages 20 to 40 (middle panel) Mortality rates for males have exceeded those for females for all drugs Rates for whites exceeded those for blacks for all opioids, but rates were much greater among blacks for cocaine Death rates for prescription drugs were greater for rural than urban populations The geographic patterns of deaths also vary by drug Prescription opioid deaths are widespread across the United States (right panel), whereas heroin and fentanyl deaths are predominantly located in the northeastern United States and methamphetamine deaths in the southwestern United States Cocaine deaths tend to be associated with urban centers The online manuscript provides many details of the patterns of mortality in these data CONCLUSION The US drug overdose epidemic has been inexorably tracking along an exponential growth curve since at least 1979 Although there have been transient periods of minor acceleration or deceleration, the overall drug overdose mortality rate has regularly returned to the exponential growth curve This historical pattern of predictable growth for at least 38 years suggests that the current opioid epidemic may be a more recent manifestation of an ongoing longer-term process This process may continue along this path for several more years into the future Paradoxically, there has been substantial variability with which specific drugs have become dominant in varying populations and geographic locales This variability all but negates the possibility of confident predictions about the future role of specific drugs Indeed, it is possible that a future overdose epidemic may be driven by a new or obscure drug that is not among the leading causes of drug overdose death today Understanding the forces that are holding multiple subepidemics together onto a smooth exponential trajectory may be important in revealing, and effectively dealing with, the root causes of the epidemic

Journal ArticleDOI
TL;DR: Overall prediction was weaker than anticipated, with weighted mean odds ratios of 1.96 for ideation, attempt or death using any depression or hopelessness variable, and several methodological constraints were prominent across studies.
Abstract: BackgroundMany studies have documented robust relationships between depression and hopelessness and subsequent suicidal thoughts and behaviours; however, much weaker and non-significant effects have also been reported. These inconsistencies raise questions about whether and to what degree these factors confer risk for suicidal thoughts and behaviours.AimsThis study aimed to evaluate the magnitude and clinical utility of depression and hopelessness as risk factors for suicide ideation, attempts and death.MethodWe conducted a meta-analysis of published studies from 1971 to 31 December 2014 that included at least one longitudinal analysis predicting suicide ideation, attempt or death using any depression or hopelessness variable.ResultsOverall prediction was weaker than anticipated, with weighted mean odds ratios of 1.96 (1.81–2.13) for ideation, 1.63 (1.55–1.72) for attempt and 1.33 (1.18–1.49) for death. Adjusting for publication bias further reduced estimates. Effects generally persisted regardless of sample severity, sample age or follow-up length.ConclusionsSeveral methodological constraints were prominent across studies; addressing these issues would likely be fruitful moving forward.Declaration of interestNone.

Journal ArticleDOI
TL;DR: In this paper, the authors used meta-analysis of individual and social level factors that influence school belonging. And the average association between each of these factors and school belonging was meta-analytically examined across 51 studies (N = 67,378).
Abstract: Belonging is an essential aspect of psychological functioning. Schools offer unique opportunities to improve belonging for school-aged children. Research on school belonging, however, has been fragmented and diluted by inconsistency in the use of terminology. To resolve some of these inconsistencies, the current study uses meta-analysis of individual and social level factors that influence school belonging. These findings aim to provide guidance on the factors schools should emphasise to best support students. First, a systematic review identified 10 themes that influence school belonging at the student level during adolescence in educational settings (academic motivation, emotional stability, personal characteristics, parent support, peer support, teacher support, gender, race and ethnicity, extracurricular activities and environmental/school safety). Second, the average association between each of these themes and school belonging was meta-analytically examined across 51 studies (N = 67,378). Teacher support and positive personal characteristics were the strongest predictors of school belonging. Results varied by geographic location, with effects generally stronger in rural than in urban locations. The findings may be useful in improving perceptions of school belonging for secondary students through the design of policy, pedagogy and teacher training, by encouraging school leaders and educators to build qualities within the students and change school systems and processes.

Journal ArticleDOI
TL;DR: Persistent opioid use after surgery is a concern among adolescents and young adults and may represent an important pathway to prescription opioid misuse, particularly among at-risk patients.
Abstract: BACKGROUND: Despite efforts to reduce nonmedical opioid misuse, little is known about the development of persistent opioid use after surgery among adolescents and young adults. We hypothesized that there is an increased incidence of prolonged opioid refills among adolescents and young adults who received prescription opioids after surgery compared with nonsurgical patients. METHODS: We performed a retrospective cohort study by using commercial claims from the Truven Health Marketscan research databases from January 1, 2010, to December 31, 2014. We included opioid-naive patients ages 13 to 21 years who underwent 1 of 13 operations. A random sample of 3% of nonsurgical patients who matched eligibility criteria was included as a comparison. Our primary outcome was persistent opioid use, which was defined as ≥1 opioid prescription refill between 90 and 180 days after the surgical procedure. RESULTS: Among eligible patients, 60.5% filled a postoperative opioid prescription (88 637 patients). Persistent opioid use was found in 4.8% of patients (2.7%–15.2% across procedures) compared with 0.1% of those in the nonsurgical group. Cholecystectomy (adjusted odds ratio 1.13; 95% confidence interval, 1.00–1.26) and colectomy (adjusted odds ratio 2.33; 95% confidence interval, 1.01–5.34) were associated with the highest risk of persistent opioid use. Independent risk factors included older age, female sex, previous substance use disorder, chronic pain, and preoperative opioid fill. CONCLUSIONS: Persistent opioid use after surgery is a concern among adolescents and young adults and may represent an important pathway to prescription opioid misuse. Identifying safe, evidence-based practices for pain management is a top priority, particularly among at-risk patients.

Journal ArticleDOI
TL;DR: It is shown that the symptom dimensions of mood, psychosis, fear and externalizing behavior exhibit unique patterns of functional dysconnectivity, delineate connectivity-guided dimensions of psychopathology that cross clinical diagnostic categories, which could serve as a foundation for developing network-based biomarkers in psychiatry.
Abstract: Neurobiological abnormalities associated with psychiatric disorders do not map well to existing diagnostic categories. High co-morbidity suggests dimensional circuit-level abnormalities that cross diagnoses. Here we seek to identify brain-based dimensions of psychopathology using sparse canonical correlation analysis in a sample of 663 youths. This analysis reveals correlated patterns of functional connectivity and psychiatric symptoms. We find that four dimensions of psychopathology – mood, psychosis, fear, and externalizing behavior – are associated (r = 0.68–0.71) with distinct patterns of connectivity. Loss of network segregation between the default mode network and executive networks emerges as a common feature across all dimensions. Connectivity linked to mood and psychosis becomes more prominent with development, and sex differences are present for connectivity related to mood and fear. Critically, findings largely replicate in an independent dataset (n = 336). These results delineate connectivity-guided dimensions of psychopathology that cross clinical diagnostic categories, which could serve as a foundation for developing network-based biomarkers in psychiatry. Co-morbidity and symptom overlap make it difficult to associate psychiatric disorders with unique neural signatures. Here, the authors use a data-driven approach to show that the symptom dimensions of mood, psychosis, fear and externalizing behavior exhibit unique patterns of functional dysconnectivity.

Journal ArticleDOI
27 Aug 2018
TL;DR: The feasibility of using social media data to detect those at risk for suicide, using natural language processing and machine learning techniques to detect quantifiable signals around suicide attempts, and designs for an automated system for estimating suicide risk are described.
Abstract: Suicide is among the 10 most common causes of death, as assessed by the World Health Organization For every death by suicide, an estimated 138 people’s lives are meaningfully affected, and almost

Journal ArticleDOI
01 Feb 2018-Brain
TL;DR: Using neuropathological analyses of brains from teenage athletes, a new mouse model of concussive impact injury, and computational simulations, Tagge and colleagues show that head injuries can induce TBI and early CTE pathologies independent of concussion.
Abstract: The mechanisms underpinning concussion, traumatic brain injury, and chronic traumatic encephalopathy, and the relationships between these disorders, are poorly understood. We examined post-mortem brains from teenage athletes in the acute-subacute period after mild closed-head impact injury and found astrocytosis, myelinated axonopathy, microvascular injury, perivascular neuroinflammation, and phosphorylated tau protein pathology. To investigate causal mechanisms, we developed a mouse model of lateral closed-head impact injury that uses momentum transfer to induce traumatic head acceleration. Unanaesthetized mice subjected to unilateral impact exhibited abrupt onset, transient course, and rapid resolution of a concussion-like syndrome characterized by altered arousal, contralateral hemiparesis, truncal ataxia, locomotor and balance impairments, and neurobehavioural deficits. Experimental impact injury was associated with axonopathy, blood-brain barrier disruption, astrocytosis, microgliosis (with activation of triggering receptor expressed on myeloid cells, TREM2), monocyte infiltration, and phosphorylated tauopathy in cerebral cortex ipsilateral and subjacent to impact. Phosphorylated tauopathy was detected in ipsilateral axons by 24 h, bilateral axons and soma by 2 weeks, and distant cortex bilaterally at 5.5 months post-injury. Impact pathologies co-localized with serum albumin extravasation in the brain that was diagnostically detectable in living mice by dynamic contrast-enhanced MRI. These pathologies were also accompanied by early, persistent, and bilateral impairment in axonal conduction velocity in the hippocampus and defective long-term potentiation of synaptic neurotransmission in the medial prefrontal cortex, brain regions distant from acute brain injury. Surprisingly, acute neurobehavioural deficits at the time of injury did not correlate with blood-brain barrier disruption, microgliosis, neuroinflammation, phosphorylated tauopathy, or electrophysiological dysfunction. Furthermore, concussion-like deficits were observed after impact injury, but not after blast exposure under experimental conditions matched for head kinematics. Computational modelling showed that impact injury generated focal point loading on the head and seven-fold greater peak shear stress in the brain compared to blast exposure. Moreover, intracerebral shear stress peaked before onset of gross head motion. By comparison, blast induced distributed force loading on the head and diffuse, lower magnitude shear stress in the brain. We conclude that force loading mechanics at the time of injury shape acute neurobehavioural responses, structural brain damage, and neuropathological sequelae triggered by neurotrauma. These results indicate that closed-head impact injuries, independent of concussive signs, can induce traumatic brain injury as well as early pathologies and functional sequelae associated with chronic traumatic encephalopathy. These results also shed light on the origins of concussion and relationship to traumatic brain injury and its aftermath.awx350media15713427811001.

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TL;DR: These data support the continued value of PC expertise and need for specialized medical toxicology information to manage more serious exposures, despite a decrease in cases involving lessserious exposures, according to the near real-time status of NPDS.
Abstract: Introduction: This is the 35th Annual Report of the American Association of Poison Control Centers’ (AAPCC) National Poison Data System (NPDS). As of 1 January 2017, 55 of the nation’s poison cente...

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13 Nov 2018-JAMA
TL;DR: The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of screening and brief behavioral counseling interventions for alcohol use in primary care settings in adolescents aged 12 to 17 years.
Abstract: Importance Excessive alcohol use is one of the most common causes of premature mortality in the United States. From 2006 to 2010, an estimated 88 000 alcohol-attributable deaths occurred annually in the United States, caused by both acute conditions (eg, injuries from motor vehicle collisions) and chronic conditions (eg, alcoholic liver disease). Alcohol use during pregnancy is also one of the major preventable causes of birth defects and developmental disabilities. Objective To update the US Preventive Services Task Force (USPSTF) 2013 recommendation on screening for unhealthy alcohol use in primary care settings. Evidence Review The USPSTF commissioned a review of the evidence on the effectiveness of screening to reduce unhealthy alcohol use (defined as a spectrum of behaviors, from risky drinking to alcohol use disorder, that result in increased risk for health consequences) morbidity, mortality, or risky behaviors and to improve health, social, or legal outcomes; the accuracy of various screening approaches; the effectiveness of counseling interventions to reduce unhealthy alcohol use, morbidity, mortality, or risky behaviors and to improve health, social, or legal outcomes; and the harms of screening and behavioral counseling interventions. Findings The net benefit of screening and brief behavioral counseling interventions for unhealthy alcohol use in adults, including pregnant women, is moderate. The evidence is insufficient to assess the balance of benefits and harms of screening and brief behavioral counseling interventions for unhealthy alcohol use in adolescents. Conclusions and Recommendation The USPSTF recommends screening for unhealthy alcohol use in primary care settings in adults 18 years or older, including pregnant women, and providing persons engaged in risky or hazardous drinking with brief behavioral counseling interventions to reduce unhealthy alcohol use. (B recommendation) The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of screening and brief behavioral counseling interventions for alcohol use in primary care settings in adolescents aged 12 to 17 years. (I statement)

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TL;DR: An open online platform is initiated, to support (sport)researchers in the selection of a system and to enable them to contribute and update the overview.
Abstract: Objective: Sport research often requires human motion capture of an athlete. It can, however, be labour-intensive and difficult to select the right system, while manufacturers report on specificati...

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TL;DR: It is concluded that rather than a single measure, two assessment tools used together would better evaluate the characteristics of falls by the elderly that can occur due to a multitude of factors and maximize the advantages of each for predicting the occurrence of falls.
Abstract: The prevention of falls among the elderly is arguably one of the most important public health issues in today's aging society. The aim of this study was to assess which tools best predict the risk of falls in the elderly. Electronic searches were performed using Medline, EMBASE, the Cochrane Library, CINAHL, etc., using the following keywords: "fall risk assessment", "elderly fall screening", and "elderly mobility scale". The QUADAS-2 was applied to assess the internal validity of the diagnostic studies. Selected studies were meta-analyzed with MetaDisc 1.4. A total of 33 studies were eligible out of the 2,321 studies retrieved from selected databases. Twenty-six assessment tools for fall risk were used in the selected articles, and they tended to vary based on the setting. The fall risk assessment tools currently used for the elderly did not show sufficiently high predictive validity for differentiating high and low fall risks. The Berg Balance scale and Mobility Interaction Fall chart showed stable and high specificity, while the Downton Fall Risk Index, Hendrich II Fall Risk Model, St. Thomas's Risk Assessment Tool in Falling elderly inpatients, Timed Up and Go test, and Tinetti Balance scale showed the opposite results. We concluded that rather than a single measure, two assessment tools used together would better evaluate the characteristics of falls by the elderly that can occur due to a multitude of factors and maximize the advantages of each for predicting the occurrence of falls.

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TL;DR: The prevalence and incidence of youth homelessness reveal a significant need for prevention and youth-centric systems and services, as well as strategies to address disproportionate risks of certain subpopulations.

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TL;DR: Future studies should be directed to investigate influence of long term effects of low pesticide doses and to minimize or eliminate influence of pesticides on non-target living organisms, produce more specific pesticides and using modern technologies to decrease contamination of food and other goods by pesticides.
Abstract: Pesticides are known for their high persistence and pervasiveness in the environment, and along with products of their biotransformation, they may remain in and interact with the environment and living organisms in multiple ways, according to their nature and chemical structure, dose and targets. In this review, the classifications of pesticides based on their nature, use, physical state, pathophysiological effects, and sources are discussed. The effects of these xenobiotics on the environment, their biotransformation in terms of bioaccumulation are highlighted with special focus on the molecular mechanisms deciphered to date. Basing on targeted organisms, most pesticides are classified as herbicides, fungicides, and insecticides. Herbicides are known as growth regulators, seedling growth inhibitors, photosynthesis inhibitors, inhibitors of amino acid and lipid biosynthesis, cell membrane disrupters, and pigment biosynthesis inhibitors, whereas fungicides include inhibitors of ergosterol biosynthesis, protein biosynthesis, and mitochondrial respiration. Insecticides mainly affect nerves and muscle, growth and development, and energy production. Studying the impact of pesticides and other related chemicals is of great interest to animal and human health risk assessment processes since potentially everyone can be exposed to these compounds which may cause many diseases, including metabolic syndrome, malnutrition, atherosclerosis, inflammation, pathogen invasion, nerve injury, and susceptibility to infectious diseases. Future studies should be directed to investigate influence of long term effects of low pesticide doses and to minimize or eliminate influence of pesticides on non-target living organisms, produce more specific pesticides and using modern technologies to decrease contamination of food and other goods by pesticides.

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TL;DR: Results support DBT as the first well-established, empirically supported treatment for decreasing repeated suicide attempts and self-harm in youths.
Abstract: Importance Suicide is a leading cause of death among 10- to 24-year-old individuals in the United States; evidence on effective treatment for adolescents who engage in suicidal and self-harm behaviors is limited. Objective To evaluate the efficacy of dialectical behavior therapy (DBT) compared with individual and group supportive therapy (IGST) for reducing suicide attempts, nonsuicidal self-injury, and overall self-harm among high-risk youths. Design, Setting, and Participants This randomized clinical trial was conducted from January 1, 2012, through August 31, 2014, at 4 academic medical centers. A total of 173 participants (pool of 195; 22 withdrew or were excluded) 12 to 18 years of age with a prior lifetime suicide attempt (≥3 prior self-harm episodes, suicidal ideation, or emotional dysregulation) were studied. Adaptive randomization balanced participants across conditions within sites based on age, number of prior suicide attempts, and psychotropic medication use. Participants were followed up for 1 year. Interventions Study participants were randomly assigned to DBT or IGST. Treatment duration was 6 months. Both groups had weekly individual and group psychotherapy, therapist consultation meetings, and parent contact as needed. Main Outcomes and Measures A priori planned outcomes were suicide attempts, nonsuicidal self-injury, and total self-harm assessed using the Suicide Attempt Self-Injury Interview. Results A total of 173 adolescents (163 [94.8%] female and 97 [56.4%] white; mean [SD] age, 14.89 [1.47] years) were studied. Significant advantages were found for DBT on all primary outcomes after treatment: suicide attempts (65 [90.3%] of 72 receiving DBT vs 51 [78.9%] of 65 receiving IGST with no suicide attempts; odds ratio [OR], 0.30; 95% CI, 0.10-0.91), nonsuicidal self-injury (41 [56.9%] of 72 receiving DBT vs 26 [40.0%] of 65 receiving IGST with no self-injury; OR, 0.32; 95% CI, 0.13-0.70), and self-harm (39 [54.2%] of 72 receiving DBT vs 24 [36.9%] of 65 receiving IGST with no self-harm; OR, 0.33; 95% CI, 0.14-0.78). Rates of self-harm decreased through 1-year follow-up. The advantage of DBT decreased, with no statistically significant between-group differences from 6 to 12 months (OR, 0.65; 95% CI, 0.12-3.36;P = .61). Treatment completion rates were higher for DBT (75.6%) than for IGST (55.2%), but pattern-mixture models indicated that this difference did not informatively affect outcomes. Conclusions and Relevance The results of this trial support the efficacy of DBT for reducing self-harm and suicide attempts in highly suicidal self-harming adolescents. On the basis of the criteria of 2 independent trials supporting efficacy, results support DBT as the first well-established, empirically supported treatment for decreasing repeated suicide attempts and self-harm in youths. Trial Registration ClinicalTrials.gov Identifier:NCT01528020.


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TL;DR: The General Aggression Model (GAM) is a comprehensive, integrative, framework for understanding aggression that considers the role of social, cognitive, personality, developmental, and biological factors on aggression.
Abstract: The General Aggression Model (GAM) is a comprehensive, integrative, framework for understanding aggression. It considers the role of social, cognitive, personality, developmental, and biological factors on aggression. Proximate processes of GAM detail how person and situation factors influence cognitions, feelings, and arousal, which in turn affect appraisal and decision processes, which in turn influence aggressive or nonaggressive behavioral outcomes. Each cycle of the proximate processes serves as a learning trial that affects the development and accessibility of aggressive knowledge structures. Distal processes of GAM detail how biological and persistent environmental factors can influence personality through changes in knowledge structures. GAM has been applied to understand aggression in many contexts including media violence effects, domestic violence, intergroup violence, temperature effects, pain effects, and the effects of global climate change.

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TL;DR: Delirium is the most common neuropsychiatric syndrome encountered by clinicians dealing with older adults and the medically ill and is best characterized by 5 core domains: cognitive deficits, attentional deficits, circadian rhythm dysregulation, emotional Dysregulation, and alteration in psychomotor functioning.
Abstract: Background Delirium is the most common neuropsychiatric syndrome encountered by clinicians dealing with older adults and the medically ill and is best characterized by 5 core domains: cognitive deficits, attentional deficits, circadian rhythm dysregulation, emotional dysregulation, and alteration in psychomotor functioning. Design An extensive literature review and consolidation of published data into a novel interpretation of known pathophysiological causes of delirium. Results Available data suggest that numerous pathological factors may serve as precipitants for delirium, each having differential effects depending on patient-specific patient physiological characteristics (substrate). On the basis of an extensive literature search, a newly proposed theory, the systems integration failure hypothesis, was developed to bring together the most salient previously described theories, by describing the various contributions from each into a complex web of pathways-highlighting areas of intersection and commonalities and explaining how the variable contribution of these may lead to the development of various cognitive and behavioral dysfunctions characteristic of delirium. The specific cognitive and behavioral manifestations of the specific delirium picture result from a combination of neurotransmitter function and availability, variability in integration and processing of sensory information, motor responses to both external and internal cues, and the degree of breakdown in neuronal network connectivity, hence the term acute brain failure. Conclusions The systems integration failure hypothesis attempts to explain how the various proposed delirium pathophysiologic theories interact with each other, causing various clinically observed delirium phenotypes. A better understanding of the underlying pathophysiology of delirium may eventually assist in designing better prevention and management approaches.

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TL;DR: Testing in an international sample of more than 5000 individuals between ages 10 and 30 years from 11 countries in Africa, Asia, Europe and the Americas finds that sensation seeking increased between preadolescence and late adolescence, peaked at age 19, and declined thereafter, whereas self-regulation increased steadily from preadolescentence into young adulthood, reaching a plateau between ages 23 and 26.
Abstract: The dual systems model of adolescent risk-taking portrays the period as one characterized by a combination of heightened sensation seeking and still-maturing self-regulation, but most tests of this model have been conducted in the United States or Western Europe. In the present study, these propositions are tested in an international sample of more than 5000 individuals between ages 10 and 30 years from 11 countries in Africa, Asia, Europe and the Americas, using a multi-method test battery that includes both self-report and performance-based measures of both constructs. Consistent with the dual systems model, sensation seeking increased between preadolescence and late adolescence, peaked at age 19, and declined thereafter, whereas self-regulation increased steadily from preadolescence into young adulthood, reaching a plateau between ages 23 and 26. Although there were some variations in the magnitude of the observed age trends, the developmental patterns were largely similar across countries.

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TL;DR: Evidence for a recently discovered inhibitory mechanism that may help to resolve the debate whether salient stimuli can involuntarily 'capture' visual attention is reviewed.