Expressions of anger during advising on life dilemmas predict suicide risk among college students
Expressions of anger during advising on life dilemmas predict suicide risk among college students
Research has demonstrated a relationship between anger and suicidality, while real-time authentic emotions behind facial expressions could be detected during advising hypothetical protagonists in life dilemmas. This study aimed to investigate the predictive validity of anger expressions during advising for suicide risk. Besides advising on life dilemmas (a friend’s betrayal, a friend’s suicide attempt), 130 adults completed the suicidal scale of the Mini-International Neuropsychiatric Interview. Participants’ anger during advice-giving was measured 29 times/s by artificial intelligence (AI)-based software FaceReader 7.1. The results showed that anger was a significant predictor of suicide risk. Increased anger during advising was associated with higher suicide risk. In contrast, there was no significant correlation between suicide risk and duration or length of advising. Therefore, measuring micro expressions of anger with AI-based software may help detect suicide risk among clinical patients in both traditional and online counseling contexts and help prevent suicide.
affective disorders, anger, facial expression, micro expression, suicide
370-375
Hu, Chao S.
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Huang, Jinhao
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Huang, Chengli
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Munroe, Melanie
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Xie, Dong
fd851497-eb04-4f9e-bcab-beb0a6123275
Li, Mei
482f90e4-e07a-45e9-ab99-3044993ed645
June 2022
Hu, Chao S.
91d4d9b9-207d-462e-825e-ac3fdc731529
Huang, Jinhao
0cecc37e-0bb2-482b-ba6b-f46edb1ea12e
Huang, Chengli
d0388b89-23fd-4e0d-abbe-36a8c100d2b9
Munroe, Melanie
072472a0-9a48-4c50-9752-8290e8550470
Xie, Dong
fd851497-eb04-4f9e-bcab-beb0a6123275
Li, Mei
482f90e4-e07a-45e9-ab99-3044993ed645
Hu, Chao S., Huang, Jinhao, Huang, Chengli, Munroe, Melanie, Xie, Dong and Li, Mei
(2022)
Expressions of anger during advising on life dilemmas predict suicide risk among college students.
PsyCh Journal, 11 (3), .
(doi:10.1002/pchj.529).
Abstract
Research has demonstrated a relationship between anger and suicidality, while real-time authentic emotions behind facial expressions could be detected during advising hypothetical protagonists in life dilemmas. This study aimed to investigate the predictive validity of anger expressions during advising for suicide risk. Besides advising on life dilemmas (a friend’s betrayal, a friend’s suicide attempt), 130 adults completed the suicidal scale of the Mini-International Neuropsychiatric Interview. Participants’ anger during advice-giving was measured 29 times/s by artificial intelligence (AI)-based software FaceReader 7.1. The results showed that anger was a significant predictor of suicide risk. Increased anger during advising was associated with higher suicide risk. In contrast, there was no significant correlation between suicide risk and duration or length of advising. Therefore, measuring micro expressions of anger with AI-based software may help detect suicide risk among clinical patients in both traditional and online counseling contexts and help prevent suicide.
Text
PsyCh-2021-139.R1_Proof_fl
- Accepted Manuscript
More information
Accepted/In Press date: 17 January 2022
e-pub ahead of print date: 22 February 2022
Published date: June 2022
Additional Information:
Funding Information:
National Natural Science Foundation of China, Grant/Award Number: 31800905 Funding information
Publisher Copyright:
© 2022 Institute of Psychology, Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.
Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.
Keywords:
affective disorders, anger, facial expression, micro expression, suicide
Identifiers
Local EPrints ID: 456096
URI: http://eprints.soton.ac.uk/id/eprint/456096
ISSN: 2046-0252
PURE UUID: 4d4a9cc1-3b57-418f-b793-0db430461679
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Date deposited: 26 Apr 2022 14:49
Last modified: 17 Mar 2024 07:12
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Contributors
Author:
Chao S. Hu
Author:
Jinhao Huang
Author:
Chengli Huang
Author:
Melanie Munroe
Author:
Dong Xie
Author:
Mei Li
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