AI algorithms show that self-esteem is one of the four major predictors of student suicidal behavior

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How can students predict suicide risk, especially when the COVID-19 pandemic is having a negative impact on the mental health of many? Self-esteem is an important predictor of suicide risk, according to researchers in Montreal and France. A team from McGill University, the University of Montreal, Insert, and Université de Bordeaux is using artificial intelligence to identify factors that accurately predict student suicidal behavior.

“Suicide is the second leading cause of death between the ages of 15 and 24. Early detection of suicidal behavior and thoughts is the key to providing appropriate treatment,” said lead author Dr. Melissa Macari. Candidate for the University of Bordeaux.

Was announced in Science report, Their analysis is based on data collected from more than 5,000 college students in France, who were followed for at least one year between 2013 and 2019. This study shows that of the 70 potential predictors, 4 detect about 80% of suicidal behavior during follow-up.These are suicidal ideation, anxiety, depressive symptoms, and Self-esteem..

AI identifies key predictors of suicidal behavior

use Machine learningAt the same time, researchers analyzed many factors associated with suicidal risk and ranked them according to their importance in predicting suicidal behavior. These factors include socio-demographic data, lifestyle, Substance use, Childhood trauma, and personal and family history of suicidal behavior.

“Many known factors Increasing risk NS College students, High school to college transition, psychosocial stress, academic pressure, adaptation to new environment, etc. These are also risks exacerbated by the health crisis caused by the COVID-19 pandemic, but there is no clear evidence of an increase in suicide rates during the pandemic, “said Massimilianoori, a postdoctoral fellow at McGill University. increase. At Magill Group and Bordeaux University for Suicide Studies.

Open the door to large-scale screening

The student has completed two surveys. One at the time of enrollment in the study and the other one year later, provided researchers with important information about their health, drug and alcohol use, medical and psychotic history, and psychological status. The follow-up study revealed that approximately 17% of students (both female (17.4%) and male (16.8%)) who participated showed suicidal behavior in the year that passed between the two questionnaires. I did.

“This study opens up the possibility of large-scale screening by identifying students at risk of suicide using short, simple questionnaires to showcase proper care,” said the University of Bordeaux. Explains senior author Christoph Zorio, a professor of epidemiology in Japan. Director of the Bordeaux Center for Population Health Research. Such screening tools may provide an alternative to physician mental health assessments for students who are often reluctant to disclose sensitive personal information in face-to-face interactions.

Self-esteem: previously unrecognized predictors

According to researchers, self-esteem is an important predictor of suicidal risk and should be used in screening tools, even among students who show no signs of suicidal behavior.

In a secondary analysis of 3,946 students who did not show suicidal behavior, self-esteem was a prominent key predictor for men. For women, they were self-esteem, depressive symptoms, and academic stress.

Low self-esteem is part of social anxiety and is known to overlap with depression. Self-esteem, an important marker of psychological vulnerabilities in young adults, is also associated with suicidal ideation. “Our research has shown that self-esteem is an independent and prominent predictive marker,” says the researchers.

“The mental health experts on our team didn’t expect self-esteem to be one of the top four predictors of suicidal behavior,” says Mélissa Macalli. “This discovery would not have been possible without the use of machine learning, which allows us to analyze large amounts of data at the same time, which opens new avenues for both research and prevention,” she said. I conclude.

Three factors exacerbate suicidal behavior in bullied teens

For more information:
Melissa Macalli et al, a machine learning approach to predicting suicidal ideation and behavior in college students, Science report (2021). DOI: 10.1038 / s41598-021-90728-z

Provided by
McGill University

Quote: AI algorithm, self-esteem of students (July 28, 2021) obtained from https: // on July 28, 2021 Shows that it is one of the four major predictors of self-esteem-major-predictors.html

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AI algorithms show that self-esteem is one of the four major predictors of student suicidal behavior

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