Can We Notice the Suicidal Warning Signs of Adolescents With Different Psychometric Profiles Before Their Death?: Analysis of Teachers’ Reports
This study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports. This was a retrospective cohort study based on Korean school teachers' responses to the Student Suicide Report Form. In total, 546 consecutive cases of studen...
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| Published in | Journal of Korean medical science Vol. 38; no. 25; pp. e194 - 18 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Korea (South)
The Korean Academy of Medical Sciences
26.06.2023
대한의학회 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1011-8934 1598-6357 1598-6357 |
| DOI | 10.3346/jkms.2023.38.e194 |
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| Abstract | This study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports.
This was a retrospective cohort study based on Korean school teachers' responses to the Student Suicide Report Form. In total, 546 consecutive cases of student suicide were reported from 2017 to 2020. After missing data were excluded, 528 cases were included. The report consisted of demographic factors, the Korean version of the Strengths and Difficulties Questionnaire (SDQ) for teacher reporting, and warning signs of suicide. Frequency analysis, multiple response analysis, the χ² test, and Latent Class Analysis (LCA) were performed.
Based on the scores of the Korean version of the teacher-reported SDQ, the group was divided into nonsymptomatic (n = 411) and symptomatic (n = 117) groups. Based on the LCA results, four latent hierarchical models were selected. The four classes of deceased students showed significant differences in school type (χ² = 20.410,
< 0.01), physical illness (χ² = 7.928,
< 0.05), mental illness (χ² = 94.332,
< 0.001), trigger events (χ² = 14.817,
< 0.01), self-harm experience (χ² = 30.618,
< 0.001), suicide attempts (χ² = 24.072,
< 0.001), depressive symptoms (χ² = 59.561,
< 0.001), anxiety (χ² = 58.165,
< 0.001), impulsivity (χ² = 62.241,
< 0.001), and social problems (χ² = 64.952,
< 0.001).
Notably, many students who committed suicide did not have any psychiatric pathology. The proportion of the group with a prosocial appearance was also high. Therefore, the actual suicide warning signals were similar regardless of students' difficulties and prosocial behaviors, so it is necessary to include this information in gatekeeper education. |
|---|---|
| AbstractList | This study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports.
This was a retrospective cohort study based on Korean school teachers' responses to the Student Suicide Report Form. In total, 546 consecutive cases of student suicide were reported from 2017 to 2020. After missing data were excluded, 528 cases were included. The report consisted of demographic factors, the Korean version of the Strengths and Difficulties Questionnaire (SDQ) for teacher reporting, and warning signs of suicide. Frequency analysis, multiple response analysis, the χ² test, and Latent Class Analysis (LCA) were performed.
Based on the scores of the Korean version of the teacher-reported SDQ, the group was divided into nonsymptomatic (n = 411) and symptomatic (n = 117) groups. Based on the LCA results, four latent hierarchical models were selected. The four classes of deceased students showed significant differences in school type (χ² = 20.410,
< 0.01), physical illness (χ² = 7.928,
< 0.05), mental illness (χ² = 94.332,
< 0.001), trigger events (χ² = 14.817,
< 0.01), self-harm experience (χ² = 30.618,
< 0.001), suicide attempts (χ² = 24.072,
< 0.001), depressive symptoms (χ² = 59.561,
< 0.001), anxiety (χ² = 58.165,
< 0.001), impulsivity (χ² = 62.241,
< 0.001), and social problems (χ² = 64.952,
< 0.001).
Notably, many students who committed suicide did not have any psychiatric pathology. The proportion of the group with a prosocial appearance was also high. Therefore, the actual suicide warning signals were similar regardless of students' difficulties and prosocial behaviors, so it is necessary to include this information in gatekeeper education. Background: This study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports. Methods: This was a retrospective cohort study based on Korean school teachers’ responses to the Student Suicide Report Form. In total, 546 consecutive cases of student suicide were reported from 2017 to 2020. After missing data were excluded, 528 cases were included. The report consisted of demographic factors, the Korean version of the Strengths and Difficulties Questionnaire (SDQ) for teacher reporting, and warning signs of suicide. Frequency analysis, multiple response analysis, the χ2 test, and Latent Class Analysis (LCA) were performed. Results: Based on the scores of the Korean version of the teacher-reported SDQ, the group was divided into nonsymptomatic (n = 411) and symptomatic (n = 117) groups. Based on the LCA results, four latent hierarchical models were selected. The four classes of deceased students showed significant differences in school type (χ2 = 20.410, P < 0.01), physical illness (χ2 = 7.928, P < 0.05), mental illness (χ2 = 94.332, P < 0.001), trigger events (χ2 = 14.817, P < 0.01), self-harm experience (χ2 = 30.618, P < 0.001), suicide attempts (χ2 = 24.072, P < 0.001), depressive symptoms (χ2 = 59.561, P < 0.001), anxiety (χ2 = 58.165, P < 0.001), impulsivity (χ2 = 62.241, P < 0.001), and social problems (χ2 = 64.952, P < 0.001). Conclusion: Notably, many students who committed suicide did not have any psychiatric pathology. The proportion of the group with a prosocial appearance was also high. Therefore, the actual suicide warning signals were similar regardless of students’ difficulties and prosocial behaviors, so it is necessary to include this information in gatekeeper education. KCI Citation Count: 0 This study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports.BACKGROUNDThis study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports.This was a retrospective cohort study based on Korean school teachers' responses to the Student Suicide Report Form. In total, 546 consecutive cases of student suicide were reported from 2017 to 2020. After missing data were excluded, 528 cases were included. The report consisted of demographic factors, the Korean version of the Strengths and Difficulties Questionnaire (SDQ) for teacher reporting, and warning signs of suicide. Frequency analysis, multiple response analysis, the χ² test, and Latent Class Analysis (LCA) were performed.METHODSThis was a retrospective cohort study based on Korean school teachers' responses to the Student Suicide Report Form. In total, 546 consecutive cases of student suicide were reported from 2017 to 2020. After missing data were excluded, 528 cases were included. The report consisted of demographic factors, the Korean version of the Strengths and Difficulties Questionnaire (SDQ) for teacher reporting, and warning signs of suicide. Frequency analysis, multiple response analysis, the χ² test, and Latent Class Analysis (LCA) were performed.Based on the scores of the Korean version of the teacher-reported SDQ, the group was divided into nonsymptomatic (n = 411) and symptomatic (n = 117) groups. Based on the LCA results, four latent hierarchical models were selected. The four classes of deceased students showed significant differences in school type (χ² = 20.410, P < 0.01), physical illness (χ² = 7.928, P < 0.05), mental illness (χ² = 94.332, P < 0.001), trigger events (χ² = 14.817, P < 0.01), self-harm experience (χ² = 30.618, P < 0.001), suicide attempts (χ² = 24.072, P < 0.001), depressive symptoms (χ² = 59.561, P < 0.001), anxiety (χ² = 58.165, P < 0.001), impulsivity (χ² = 62.241, P < 0.001), and social problems (χ² = 64.952, P < 0.001).RESULTSBased on the scores of the Korean version of the teacher-reported SDQ, the group was divided into nonsymptomatic (n = 411) and symptomatic (n = 117) groups. Based on the LCA results, four latent hierarchical models were selected. The four classes of deceased students showed significant differences in school type (χ² = 20.410, P < 0.01), physical illness (χ² = 7.928, P < 0.05), mental illness (χ² = 94.332, P < 0.001), trigger events (χ² = 14.817, P < 0.01), self-harm experience (χ² = 30.618, P < 0.001), suicide attempts (χ² = 24.072, P < 0.001), depressive symptoms (χ² = 59.561, P < 0.001), anxiety (χ² = 58.165, P < 0.001), impulsivity (χ² = 62.241, P < 0.001), and social problems (χ² = 64.952, P < 0.001).Notably, many students who committed suicide did not have any psychiatric pathology. The proportion of the group with a prosocial appearance was also high. Therefore, the actual suicide warning signals were similar regardless of students' difficulties and prosocial behaviors, so it is necessary to include this information in gatekeeper education.CONCLUSIONNotably, many students who committed suicide did not have any psychiatric pathology. The proportion of the group with a prosocial appearance was also high. Therefore, the actual suicide warning signals were similar regardless of students' difficulties and prosocial behaviors, so it is necessary to include this information in gatekeeper education. |
| Author | Bhang, Soo-Young Kim, Joonbeom Hong, Hyun Ju Lee, Mi-Sun |
| AuthorAffiliation | 2 Center for School Mental Health, Eulji University, Seoul, Korea 4 Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Korea 3 Interdisciplinary Graduate Program in Social Welfare Policy, Yonsei University, Seoul, Korea 5 Department of Psychiatry, Hallym University Sacred Heart Hospital, Anyang, Korea 1 Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea 6 Suicide and School Mental Health Institute, Hallym University, Anyang, Korea 7 Department of Psychiatry, Nowon Eulji University Hospital, Eulji University School of Medicine, Seoul, Korea |
| AuthorAffiliation_xml | – name: 4 Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Korea – name: 3 Interdisciplinary Graduate Program in Social Welfare Policy, Yonsei University, Seoul, Korea – name: 2 Center for School Mental Health, Eulji University, Seoul, Korea – name: 1 Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea – name: 6 Suicide and School Mental Health Institute, Hallym University, Anyang, Korea – name: 5 Department of Psychiatry, Hallym University Sacred Heart Hospital, Anyang, Korea – name: 7 Department of Psychiatry, Nowon Eulji University Hospital, Eulji University School of Medicine, Seoul, Korea |
| Author_xml | – sequence: 1 givenname: Mi-Sun orcidid: 0000-0003-2918-0546 surname: Lee fullname: Lee, Mi-Sun organization: Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea., Center for School Mental Health, Eulji University, Seoul, Korea – sequence: 2 givenname: Joonbeom orcidid: 0000-0002-1487-5882 surname: Kim fullname: Kim, Joonbeom organization: Interdisciplinary Graduate Program in Social Welfare Policy, Yonsei University, Seoul, Korea., Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Korea – sequence: 3 givenname: Hyun Ju orcidid: 0000-0002-6348-9996 surname: Hong fullname: Hong, Hyun Ju organization: Department of Psychiatry, Hallym University Sacred Heart Hospital, Anyang, Korea., Suicide and School Mental Health Institute, Hallym University, Anyang, Korea – sequence: 4 givenname: Soo-Young orcidid: 0000-0001-5254-0314 surname: Bhang fullname: Bhang, Soo-Young organization: Center for School Mental Health, Eulji University, Seoul, Korea., Department of Psychiatry, Nowon Eulji University Hospital, Eulji University School of Medicine, Seoul, Korea |
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| Snippet | This study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports.
This was a... This study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports.BACKGROUNDThis study... Background: This study aimed to analyze the suicidal warning signs of Korean students with different psychometric profiles based on teacher reports. Methods:... |
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| SubjectTerms | Adolescent Humans Original Psychometrics Retrospective Studies Self-Injurious Behavior Suicidal Ideation Suicide, Attempted 의학일반 |
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| Title | Can We Notice the Suicidal Warning Signs of Adolescents With Different Psychometric Profiles Before Their Death?: Analysis of Teachers’ Reports |
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