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J. John Mann

Other affiliations: University of Pittsburgh, University of York, Cornell University  ...read more
Bio: J. John Mann is an academic researcher from Columbia University. The author has contributed to research in topics: Poison control & Suicide attempt. The author has an hindex of 115, co-authored 693 publications receiving 53913 citations. Previous affiliations of J. John Mann include University of Pittsburgh & University of York.


Papers
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Journal ArticleDOI
TL;DR: Findings suggest that the Columbia-Suicide Severity Rating Scale is suitable for assessment of suicidal ideation and behavior in clinical and research settings.
Abstract: The Columbia–Suicide Severity Rating Scale was initially designed to assess suicidal ideation and behavior in clinical trials. Psychometric analysis of data on adolescents indicated that a lifetime history of worst-point suicidal ideation including either suicidal intent or intent with a plan predicts a future risk of an actual attempt that is four times as great as the risk associated with a history of current suicidal ideation—including a desire to be dead—or increased general ratings of depression.

2,942 citations

Journal ArticleDOI
26 Oct 2005-JAMA
TL;DR: Physician education in depression recognition and treatment and restricting access to lethal methods reduce suicide rates, and other interventions need more evidence of efficacy.
Abstract: ContextIn 2002, an estimated 877 000 lives were lost worldwide through suicide. Some developed nations have implemented national suicide prevention plans. Although these plans generally propose multiple interventions, their effectiveness is rarely evaluated.ObjectivesTo examine evidence for the effectiveness of specific suicide-preventive interventions and to make recommendations for future prevention programs and research.Data Sources and Study SelectionRelevant publications were identified via electronic searches of MEDLINE, the Cochrane Library, and PsychINFO databases using multiple search terms related to suicide prevention. Studies, published between 1966 and June 2005, included those that evaluated preventative interventions in major domains; education and awareness for the general public and for professionals; screening tools for at-risk individuals; treatment of psychiatric disorders; restricting access to lethal means; and responsible media reporting of suicide.Data ExtractionData were extracted on primary outcomes of interest: suicidal behavior (completion, attempt, ideation), intermediary or secondary outcomes (treatment seeking, identification of at-risk individuals, antidepressant prescription/use rates, referrals), or both. Experts from 15 countries reviewed all studies. Included articles were those that reported on completed and attempted suicide and suicidal ideation; or, where applicable, intermediate outcomes, including help-seeking behavior, identification of at-risk individuals, entry into treatment, and antidepressant prescription rates. We included 3 major types of studies for which the research question was clearly defined: systematic reviews and meta-analyses (n = 10); quantitative studies, either randomized controlled trials (n = 18) or cohort studies (n = 24); and ecological, or population- based studies (n = 41). Heterogeneity of study populations and methodology did not permit formal meta-analysis; thus, a narrative synthesis is presented.Data SynthesisEducation of physicians and restricting access to lethal means were found to prevent suicide. Other methods including public education, screening programs, and media education need more testing.ConclusionsPhysician education in depression recognition and treatment and restricting access to lethal methods reduce suicide rates. Other interventions need more evidence of efficacy. Ascertaining which components of suicide prevention programs are effective in reducing rates of suicide and suicide attempt is essential in order to optimize use of limited resources.

2,649 citations

Journal ArticleDOI
TL;DR: A stress-diathesis model is proposed in which the risk for suicidal acts is determined not merely by a psychiatric illness but also by a diathesis, reflected in tendencies to experience more suicidal ideation and to be more impulsive and, therefore, more likely to act on suicidal feelings.
Abstract: OBJECTIVE: Risk factors for suicide attempts have rarely been studied comprehensively in more than one psychiatric disorder, preventing estimation of the relative importance and the generalizability of different putative risk factors across psychiatric diagnoses. The authors conducted a study of suicide attempts in patients with mood disorders, psychoses, and other diagnoses. Their goal was to determine the generalizability and relative importance of risk factors for suicidal acts across diagnostic boundaries and to develop a hypothetical, explanatory, and predictive model of suicidal behavior that can subsequently be tested in a prospective study. METHOD: Following admission to a university psychiatric hospital, 347 consecutive patients who were 14–72 years old (51% were male and 68% were Caucasian) were recruited for study. Structured clinical interviews generated axis I and axis II diagnoses. Lifetime suicidal acts, traits of aggression and impulsivity, objective and subjective severity of acute psycho...

1,629 citations

Journal ArticleDOI
J. John Mann1
TL;DR: A proposed stress–diathesis model is described in clinical and neurobiological terms, and correlates of the diathesis for suicidal acts point to the involvement of the serotonergic and noradrenergic systems, and the ventromedial prefrontal cortex.
Abstract: About one million suicides and ten million suicide attempts occur worldwide each year. Suicide is not simply a response to stress, but generally a complication of a psychiatric disorder. A proposed stress–diathesis model is described in clinical and neurobiological terms. Neurobiological correlates of the diathesis for suicidal acts point to the involvement of the serotonergic and noradrenergic systems, and the ventromedial prefrontal cortex. Some treatments seem to reduce suicide risk independently of an effect on the primary psychiatric disorder, perhaps by reducing the diathesis.

1,063 citations


Cited by
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TL;DR: Mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs.
Abstract: The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. mice 1.0 introduced predictor selection, passive imputation and automatic pooling. This article documents mice, which extends the functionality of mice 1.0 in several ways. In mice, the analysis of imputed data is made completely general, whereas the range of models under which pooling works is substantially extended. mice adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs. Imputation of categorical data is improved in order to bypass problems caused by perfect prediction. Special attention is paid to transformations, sum scores, indices and interactions using passive imputation, and to the proper setup of the predictor matrix. mice can be downloaded from the Comprehensive R Archive Network. This article provides a hands-on, stepwise approach to solve applied incomplete data problems.

10,234 citations

Journal Article
TL;DR: For the next few weeks the course is going to be exploring a field that’s actually older than classical population genetics, although the approach it’ll be taking to it involves the use of population genetic machinery.
Abstract: So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

9,847 citations

Journal ArticleDOI
TL;DR: Some key aspects of Wnt/beta-catenin signaling in human diseases including congenital malformations, cancer, and osteoporosis are highlighted, and potential therapeutic implications are discussed.

4,926 citations

Journal ArticleDOI
Haidong Wang1, Mohsen Naghavi1, Christine Allen1, Ryan M Barber1  +841 moreInstitutions (293)
TL;DR: The Global Burden of Disease 2015 Study provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015, finding several countries in sub-Saharan Africa had very large gains in life expectancy, rebounding from an era of exceedingly high loss of life due to HIV/AIDS.

4,804 citations