How can we predict suicide risk in students, especially at a time when the COVID-19 pandemic has negatively affected many people’s mental health? According to researchers from Montreal and France, self-esteem represents an important predictive marker of suicidal risk. The team from Ï㽶ÊÓƵ, University of Montreal, Inserm, and Université de Bordeaux is using artificial intelligence to identify factors that accurately predict suicidal behavior in students.
Early adulthood, a transitional life stage marked by major changes in social roles and responsibilities, can bring with it an increase of mental health problems. A team of Ï㽶ÊÓƵ researchers has found that young adults who perceived higher levels of social support reported fewer mental health problems.
Researchers have long been interested in the question of whether a correlation exists between one’s early-life environment and suicide rates, with studies on the topic dating back to the 1980s. However, these studies have focused on individual countries or on only one or few risk factors. As a result, the lack of any meta-analysis of the data has made it difficult to draw any coherent conclusions.
Rob Whitley, Assistant Professor, Department of Psychiatry, Ï㽶ÊÓƵ
Each year, has taken place on 10th September since 2003.
A new study published in the (JAACAP) by the team of Dr Marie-Claude Geoffroy, researcher at the CIUSSS de l'Ouest-de-l'Île-de-Montréal (Douglas mental health university institute, McGill group for suicide studies) and the Sainte-Justine hospital research centre, reports that adolescents chronically victimized during two school years at least, are about five times more at risk of thinking about suicide and six times more at risk of attempting suicide at age 15
Difficulty making good choices is one of the factors that make certain people vulnerable to suicide
By Cynthia Lee - News - June 8, 2014
Levels of a small molecule found only in humans and in other primates are lower in the brains of depressed individuals, according to researchers at Ï㽶ÊÓƵ and the Douglas Institute. This discovery may hold a key to improving treatment options for those who suffer from depression.