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Margaret Miller

Bio: Margaret Miller is an academic researcher from Harvard University. The author has contributed to research in topics: Poison control & Suicide prevention. The author has an hindex of 35, co-authored 52 publications receiving 3588 citations.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: Household firearm ownership levels are strongly associated with higher rates of suicide, consistent with the hypothesis that the availability of lethal means increases the rate of completed suicide.
Abstract: BACKGROUND:: The current investigation explores the association between rates of household firearm ownership and suicide across the 50 states. Prior ecologic research on the relationship between firearm prevalence and suicide has been criticized for using problematic proxy-based, rather than survey-based, estimates of firearm prevalence and for failing to control for potential psychological risk factors for suicide. We address these two criticisms by using recently available state-level survey-based estimates of household firearm ownership, serious mental illness, and alcohol/illicit substance use and dependence. METHODS:: Negative binomial regression was used to assess the relationship between household firearm ownership rates and rates of firearm, nonfirearm, and overall suicide for both sexes and for four age groups. Analyses controlled for rates of poverty, urbanization, unemployment, mental illness, and drug and alcohol dependence and abuse. RESULTS:: US residents of all ages and both sexes are more likely to die from suicide when they live in areas where more households contain firearms. A positive and significant association exists between levels of household firearm ownership and rates of firearm and overall suicide; rates of nonfirearm suicide were not associated with levels of household firearm ownership. CONCLUSION:: Household firearm ownership levels are strongly associated with higher rates of suicide, consistent with the hypothesis that the availability of lethal means increases the rate of completed suicide. Language: en

227 citations

Journal ArticleDOI
TL;DR: A disproportionately high number of 5-14 year olds died from suicide, homicide, and unintentional firearm deaths in states and regions where guns were more prevalent.
Abstract: Background In the United States, only motor vehicle crashes and cancer claim more lives among children than do firearms. This national study attempts to determine whether firearm prevalence is related to rates of unintentional firearm deaths, suicides, and homicides among children.Methods Pooled cro

216 citations

Journal ArticleDOI
TL;DR: It is found that age and sex influence overall casefatality rates primarily through their association with methods used, rather than because of variation in method-specific case fatality rates.

186 citations

Journal ArticleDOI
TL;DR: In both regional and state-level analyses, a robust association exists between levels of household firearm ownership and suicide rates and where firearm ownership levels are higher, a disproportionately large number of people die from suicide.
Abstract: BACKGROUND: In the United States, more people kill themselves with firearms than with all other methods combined. A central question regarding the relation between firearms and suicide is whether the ready availability of firearms increases the suicide rate, rather than merely increasing the proportion of suicides from guns. METHODS: We used publicly available data for the nine regions and 50 states in the United States over a 10-year period (1988-1997) to examine the association between levels of household firearm ownership and rates of suicide, firearm suicide, and non-firearm suicide by age groups and gender. RESULTS: In both regional and state-level analyses, for the U.S. population as a whole, for both males and females, and for virtually every age group, a robust association exists between levels of household firearm ownership and suicide rates. CONCLUSIONS: Where firearm ownership levels are higher, a disproportionately large number of people die from suicide.

186 citations

Journal ArticleDOI
TL;DR: A detailed review of the most commonly cited, representative, and thorough empirical studies in the published peer-reviewed literature relating firearms and suicide, focusing largely on the United States, is provided in this paper.

162 citations


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Journal ArticleDOI
TL;DR: A meta-analysis of studies that have attempted to longitudinally predict a specific STB-related outcome suggests the need for a shift in focus from risk factors to machine learning-based risk algorithms.
Abstract: Suicidal thoughts and behaviors (STBs) are major public health problems that have not declined appreciably in several decades. One of the first steps to improving the prevention and treatment of STBs is to establish risk factors (i.e., longitudinal predictors). To provide a summary of current knowledge about risk factors, we conducted a meta-analysis of studies that have attempted to longitudinally predict a specific STB-related outcome. This included 365 studies (3,428 total risk factor effect sizes) from the past 50 years. The present random-effects meta-analysis produced several unexpected findings: across odds ratio, hazard ratio, and diagnostic accuracy analyses, prediction was only slightly better than chance for all outcomes; no broad category or subcategory accurately predicted far above chance levels; predictive ability has not improved across 50 years of research; studies rarely examined the combined effect of multiple risk factors; risk factors have been homogenous over time, with 5 broad categories accounting for nearly 80% of all risk factor tests; and the average study was nearly 10 years long, but longer studies did not produce better prediction. The homogeneity of existing research means that the present meta-analysis could only speak to STB risk factor associations within very narrow methodological limits-limits that have not allowed for tests that approximate most STB theories. The present meta-analysis accordingly highlights several fundamental changes needed in future studies. In particular, these findings suggest the need for a shift in focus from risk factors to machine learning-based risk algorithms. (PsycINFO Database Record

2,013 citations

Journal ArticleDOI
TL;DR: While tremendous strides have been made in understanding of who is at risk for suicide, it is incumbent upon future research efforts to focus on the development and evaluation of empirically based suicide prevention and treatment protocols.
Abstract: Objective To review critically the past 10 years of research on youth suicide. Method Research literature on youth suicide was reviewed following a systematic search of PsycINFO and Medline. The search for school-based suicide prevention programs was expanded using two education databases: ERIC and Education Full Text. Finally, manual reviews of articles' reference lists identified additional studies. The review focuses on epidemiology, risk factors, prevention strategies, and treatment protocols. Results There has been a dramatic decrease in the youth suicide rate during the past decade. Although a number of factors have been posited for the decline, one of the more plausible ones appears to be the increase in antidepressants being prescribed for adolescents during this period. Youth psychiatric disorder, a family history of suicide and psychopathology, stressful life events, and access to firearms are key risk factors for youth suicide. Exciting new findings have emerged on the biology of suicide in adults, but, while encouraging, these are yet to be replicated in youths. Promising prevention strategies, including school-based skills training for students, screening for at-risk youths, education of primary care physicians, media education, and lethal-means restriction, need continuing evaluation studies. Dialectical behavior therapy, cognitive-behavioral therapy, and treatment with antidepressants have been identified as promising treatments but have not yet been tested in a randomized clinical trial of youth suicide. Conclusions While tremendous strides have been made in our understanding of who is at risk for suicide, it is incumbent upon future research efforts to focus on the development and evaluation of empirically based suicide prevention and treatment protocols.

1,242 citations

Journal ArticleDOI
TL;DR: The main outcome measured was abstinence from smoking at longest follow-up, and the most rigorous definition of abstinence was abstinence, and preferred biochemically validated rates where they were reported.
Abstract: Nicotine receptor partial agonists may help people to stop smoking by a combination of maintaining moderate levels of dopamine to counteract withdrawal symptoms (acting as an agonist) and reducing smoking satisfaction (acting as an antagonist). The primary objective of this review is to assess the efficacy and tolerability of nicotine receptor partial agonists, including cytisine, dianicline and varenicline for smoking cessation. We searched the Cochrane Tobacco Addiction Group's specialised register for trials, using the terms ('cytisine' or 'Tabex' or 'dianicline' or 'varenicline' or 'nicotine receptor partial agonist') in the title or abstract, or as keywords. The register is compiled from searches of MEDLINE, EMBASE, PsycINFO and Web of Science using MeSH terms and free text to identify controlled trials of interventions for smoking cessation and prevention. We contacted authors of trial reports for additional information where necessary. The latest update of the specialised register was in December 2011. We also searched online clinical trials registers. We included randomized controlled trials which compared the treatment drug with placebo. We also included comparisons with bupropion and nicotine patches where available. We excluded trials which did not report a minimum follow-up period of six months from start of treatment. We extracted data on the type of participants, the dose and duration of treatment, the outcome measures, the randomization procedure, concealment of allocation, and completeness of follow-up.The main outcome measured was abstinence from smoking at longest follow-up. We used the most rigorous definition of abstinence, and preferred biochemically validated rates where they were reported. Where appropriate we pooled risk ratios (RRs), using the Mantel-Haenszel fixed-effect model. Two recent cytisine trials (937 people) found that more participants taking cytisine stopped smoking compared with placebo at longest follow-up, with a pooled RR of 3.98 (95% confidence interval (CI) 2.01 to 7.87). One trial of dianicline (602 people) failed to find evidence that it was effective (RR 1.20, 95% CI 0.82 to 1.75). Fifteen trials compared varenicline with placebo for smoking cessation; three of these also included a bupropion treatment arm. We also found one open-label trial comparing varenicline plus counselling with counselling alone. We found one relapse prevention trial, comparing varenicline with placebo, and two open-label trials comparing varenicline with nicotine replacement therapy (NRT). We also include one trial in which all the participants were given varenicline, but received behavioural support either online or by phone calls, or by both methods. This trial is not included in the analyses, but contributes to the data on safety and tolerability. The included studies covered 12,223 participants, 8100 of whom used varenicline.The pooled RR for continuous or sustained abstinence at six months or longer for varenicline at standard dosage versus placebo was 2.27 (95% CI 2.02 to 2.55; 14 trials, 6166 people, excluding one trial evaluating long term safety). Varenicline at lower or variable doses was also shown to be effective, with an RR of 2.09 (95% CI 1.56 to 2.78; 4 trials, 1272 people). The pooled RR for varenicline versus bupropion at one year was 1.52 (95% CI 1.22 to 1.88; 3 trials, 1622 people). The RR for varenicline versus NRT for point prevalence abstinence at 24 weeks was 1.13 (95% CI 0.94 to 1.35; 2 trials, 778 people). The two trials which tested the use of varenicline beyond the 12-week standard regimen found the drug to be well-tolerated during long-term use. The main adverse effect of varenicline was nausea, which was mostly at mild to moderate levels and usually subsided over time. A meta-analysis of reported serious adverse events occurring during or after active treatment and not necessarily considered attributable to treatment suggests there may be a one-third increase in the chance of severe adverse effects among people using varenicline (RR 1.36; 95% CI 1.04 to 1.79; 17 trials, 7725 people), but this finding needs to be tested further. Post-marketing safety data have raised questions about a possible association between varenicline and depressed mood, agitation, and suicidal behaviour or ideation. The labelling of varenicline was amended in 2008, and the manufacturers produced a Medication Guide. Thus far, surveillance reports and secondary analyses of trial data are inconclusive, but the possibility of a link between varenicline and serious psychiatric or cardiovascular events cannot be ruled out. Cytisine increases the chances of quitting, although absolute quit rates were modest in two recent trials. Varenicline at standard dose increased the chances of successful long-term smoking cessation between two- and threefold compared with pharmacologically unassisted quit attempts. Lower dose regimens also conferred benefits for cessation, while reducing the incidence of adverse events. More participants quit successfully with varenicline than with bupropion. Two open-label trials of varenicline versus NRT suggested a modest benefit of varenicline but confidence intervals did not rule out equivalence. Limited evidence suggests that varenicline may have a role to play in relapse prevention. The main adverse effect of varenicline is nausea, but mostly at mild to moderate levels and tending to subside over time. Possible links with serious adverse events, including serious psychiatric or cardiovascular events, cannot be ruled out.Future trials of cytisine may test extended regimens and more intensive behavioural support. There is a need for further trials of the efficacy of varenicline treatment extended beyond 12 weeks.

973 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. Ferrari1, Alize J. Ferrari5, Alize J. Ferrari6, Amir Kasaeian7, Andrea Werdecker, Austin Carter1, Ben Zipkin1, Benn Sartorius8, Benn Sartorius9, Berrin Serdar10, Bryan L. Sykes11, Christopher Troeger1, Christina Fitzmaurice12, Christina Fitzmaurice1, Colin D. Rehm13, Damian Santomauro1, Damian Santomauro6, Damian Santomauro5, Daniel Kim14, Danny V. Colombara1, David C. Schwebel15, Derrick Tsoi1, Dhaval Kolte16, Elaine O. Nsoesie1, Emma Nichols1, Eyal Oren17, Fiona J Charlson1, Fiona J Charlson5, Fiona J Charlson6, George C Patton18, Gregory A. Roth1, H. Dean Hosgood19, Harvey Whiteford1, Harvey Whiteford5, Harvey Whiteford6, Hmwe H Kyu1, Holly E. Erskine5, Holly E. Erskine6, Holly E. Erskine1, 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 Degenhardt1, Louisa Degenhardt28, 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 Havmoller3, Ricky Leung36, Ruth W Kimokoti37, Shahrzad Bazargan-Hejazi38, Shahrzad Bazargan-Hejazi39, Simon I. Hay1, Simon I. Hay40, Simon Yadgir1, Stan Biryukov1, Stein Emil Vollset41, Stein Emil Vollset1, 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. Biroscak52, Brian J. Biroscak31, 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 Leung6, Janni Leung51, 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, Karolinska Institutet3, Kermanshah University of Medical Sciences4, Centre for Mental Health5, University of Queensland6, Tehran University of Medical Sciences7, University of KwaZulu-Natal8, South African Medical Research Council9, 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, University of Cape Town22, Johns Hopkins University23, Case Western Reserve University24, Marshall 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, Charles R. Drew University of Medicine and Science38, University of California, Los Angeles39, University of Oxford40, Norwegian Institute of Public Health41, Pacific Institute42, Curtin University43, 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, Jagiellonian University Medical College65, Wrocław Medical University66, 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

Book
01 Jan 1984
TL;DR: This book includes detailed information on many of the factors surrounding injuries--the man-made systems and products involved, the groups at greatest risk, and effective ways to protect people from injuries.
Abstract: This book includes detailed information on many of the factors surrounding injuries--the man-made systems and products involved, the groups at greatest risk, and effective ways to protect people from injuries. The circumstances under which injuries occur, the etiologic agents, and the characteristics of the people involved are examined. Chapter 2 summarizes the importance of injuries in relation to other prominent health problems. Subsequent chapters describe injury mortality and, in cases where good population-based studies are available, nonfatal injuries. The analyses in Chapters 3-15 are primarily of injury deaths during 1977-1979, the most recent years for which detailed mortality data were available in mid-1983 for deaths other than those related to motor vehicles. Most of these data were collected by the U.S. Department of Health and Human Services, National Center for Health Statistics (NCHS). Chapters 16-20 summarize data on deaths from motor vehicle-related injuries. Most of these detailed data were obtained from the U.S. Department of Transportation, National Highway Traffic Safety Administration (NHTSA). Data from the 1980 census provided denominators for the rates throughout the book, except for trendline calculations which were based on interpolations between census years. The purpose of this book is to improve understanding of the nature and magnitude of the injury problem in the United States. Although it includes some discussion of ameliorative approaches, there is no comprehensive coverage of injury research, theory, or prevention, since these have been comprehensively discussed elsewhere. This book is a thorough documentation of the injury problem. Most of the information presented is new, the product of analyses not previously published in any form.

896 citations