1,720,956 research outputs found
Suicide in obsessive-compulsive related disorders: Prevalence rates and psychopathological risk factors
Objectives To estimate prevalence rates of suicide attempts and suicidal ideation in individuals with a principal diagnosis of obsessive-compulsive related disorders (OCRDs); 2. to identify predictors of suicide risk among subjects with OCRDs (where available). Methods The systematic review was conducted by searching PubMed from the date of the first available article to December 31, 2018. The search terms [suicide] OR [suicidality] OR [suicide attempts] OR [suicidal ideation] OR [suicidal thoughts] were combined with the following: [BDD] OR [body dysmorphic disorder]; [HD] OR [hoarding disorder]; [trichotillomania] OR [hair pulling disorder]; [excoriation disorder] OR [skin picking disorder]. Results In BDD, data concerning lifetime suicide attempts are consistent across studies: mean rate is 21.5% (range 9-30.3%). Mean rate of current suicidal ideation is 37.4% (range 26.5-49.7%) and mean rate of lifetime suicidal ideation is 74.5% (range 53.5-85%). BDD-specific factors such as early onset, severity, poor insight and muscle dysmorphia and comorbid disorders increase the risk of suicide attempts or suicidal ideation. Only 2 studies recruited individuals with DSM-5 HD: suicidality appears to be low, with rates of current suicidal ideation comprised between 5% and 10%, although 19% of individuals attempted suicide during their lifetime. Concerning the grooming disorders, lifetime rates of suicide attempts are low as compared to rates in other OCRDs; approximately 40% of individuals, however, reported lifetime suicidal ideation. Conclusions OCRDs taken together may be at risk for suicide attempts and suicidal ideation independently from comorbid disorders (and specifically independently from comorbid OCD); BDD remains the disorder more strongly associated with an increased risk for suicide, followed by HD and then the grooming disorders
Factors associated with increased suicide risk in Obsessive-Compulsive Disorder
Objectives Obsessive-Compulsive Disorder (OCD) is in itself at greater risk for suicide (suicidal ideation, suicide attempts and completed suicide) as compared to the general population. However, the majority of individuals with OCD do not have current or lifetime suicidal ideation nor did attempt suicide in their lifetime. Methods The present paper aims to provide an updated review on factors (socio-demographic and personal factors, OCD-related variables, comorbidities, emotion-cognitive factors, and biological variables) contributing to the increased suicide risk in patients with OCD. Results Several factors have been found to be strongly associated with suicide risk in patients with OCD, such as the severity of OCD, the unacceptable thoughts symptom dimension, having a comorbid Axis I disorder (Bipolar Disorder, Major Depressive Disorder, Substance Use Disorder), the severity of comorbid depressive and anxiety symptoms, a previous history of suicide attempts, having high levels of alexithymia and hopelessness. Conclusions Several contributing factors should be evaluated and identified in the clinical practice in order to improve early detection of suicide risk. Risk identification and stratification of risk remain essential components of suicide prevention and should guide the clinical approach to patients with OCD. Whether and how these risk factors for suicide in patients with OCD work together, and whether the specific factors act as moderators or mediators, remains to be fully clarified
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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