Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients

Background: Subthreshold hypomania during a major depressive episode challenges the bipolar-unipolar dichotomy. In our study we employed a cross-diagnostic cluster analysis – to identify distinct subgroups within a cohort of depressed patients. Methods: A k-means cluster analysis- based on the domain scores of the Mood Spectrum Self-Report (MOODS-SR) questionnaire-was performed on a data set of 300 adults[…]

Coincident patterns of suicide risk among adult patients with a primary solid tumor: A large-scale population study.

Background: Suicide rate is much higher in cancer patients than in general population. This
study examined the suicide risk in survivors of primary solid tumor across 19 cancer sites
considering risk coincident patterns based on area-based SES indicators.
Methods: A retrospective search of the SEER database was conducted. Independent risk
factors[…]

Successful suicide screening in the pediatric department: Youth, parent, researcher, and clinician perspectives

The purpose of this study was to include youth, parents, researchers, and clinicians in the identification of feasible and acceptable strategies for teen suicide screening in the pediatric emergency department (ED). Concept mapping methodology was used to elicit stakeholder responses. Regarding the most important result of suicide screening for teens in the pediatric ED, suicide[…]

Classification of attempted suicide by cluster analysis: A study of 888 suicide attempters presenting to the emergency department

BACKGROUND:
It is essential to understand the latent structure of the population of suicide attempters for effective suicide prevention. The aim of this study was to identify subgroups among Korean suicide attempters in terms of the details of the suicide attempt. METHODS:
A total of 888 people who attempted suicide and were subsequently[…]

Suicide typologies in the United States Air Force: A hierarchical cluster analysis

Objective
This study describes characteristics of United States Air Force (USAF) suicide decedents and determines subgroups.
Method
Retrospective review of demographic, psychiatric, event‐related, and psychosocial variables for USAF suicide decedents in the Suicide Event Surveillance System database was conducted between February 1999 and July 2009 (N = 376). Hierarchical cluster analysis was used to[…]

Spatiotemporal clustering of suicides in the US from 1999 to 2016: A spatial epidemiological approach

Purpose
This study aims to describe and characterize the spatial and temporal clustering patterns of suicide in the ten states with the greatest suicide burden in the United States from 1999 to 2016. Methods
All suicide deaths from January 1, 1999 to December 31, 2016 in the United States were identified using data from[…]

Cluster analysis of characteristics of persons who died by suicide in the Montreal Metro transit system: Analysis of variations over time.

Suicides occur in metro systems worldwide and patterns vary in different urban transit networks. Aims: This study presents an in-depth analysis of 117 suicides in the Montreal Metro from 2000 to 2008 based on data obtained from coroners’ investigations. Method: Cluster analyses were performed to identify characteristics of groups of people who kill themselves in[…]

Clustering suicide attempters: Impulsive-ambivalent, well-planned, or frequent.

Attempts to predict suicidal behavior within high-risk populations have so far shown insufficient accuracy. Although several psychosocial and clinical features have been consistently associated with suicide attempts, investigations of latent structure in well-characterized populations of suicide attempters are lacking. METHODS: We analyzed a sample of 1,009 hospitalized suicide attempters that were recruited between 1999 and[…]

Suicide in the oldest old: An observational study and cluster analysis.

The older population are at a high risk for suicide. This study sought to learn more about the characteristics of suicide in the oldest-old and to use a cluster analysis to determine if oldest-old suicide victims assort into clinically meaningful subgroups. The younger and older age groups differed according to marital status, living circumstances and[…]