Evidence map›Paper›PMID 36440401›Full record

ArticleFrontiers in psychiatry2022

Establishment and psychometric characteristics of emotional words list for suicidal risk assessment in speech emotion recognition.

Juan Shen, Shuo Zhang, Yongsheng Tong, Xiangmin Dong, Xuelian Wang, Guanghui Fu, Liting Zhao, Mengjie Wu, Yi Yin, Yuehua Wang and 3 more

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Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Juan ShenBeijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.
Shuo ZhangFaculty of Information Technology, Beijing University of Technology, Beijing, China.
Yongsheng TongBeijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.
Xiangmin DongFaculty of Information Technology, Beijing University of Technology, Beijing, China.
Xuelian WangBeijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.
Guanghui FuSorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France.
Liting ZhaoBeijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.
Mengjie WuBeijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.
Yi YinBeijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.
Yuehua WangBeijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.
Nancy H LiuDepartment of Psychology, University of California, Berkeley, Berkeley, CA, United States.
Jianlan WuBeijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.
Jianqiang LiFaculty of Information Technology, Beijing University of Technology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emotional disturbance is an important risk factor of suicidal behaviors. To ensure speech emotion recognition (SER), a novel technique to evaluate emotional characteristics of speech, precision in labeling emotional words is a prerequisite. Currently, a list of suicide-related emotional word is absent. The aims of this study were to establish an Emotional Words List for Suicidal Risk Assessment (EWLSRA) and test the reliability and validity of the list in a suicide-related SER task. Methods: Suicide-related emotion words were nominated and discussed by 10 suicide prevention professionals. Sixty-five tape-recordings of calls to a large psychological support hotline in China were selected to test psychometric characteristics of the EWLSRA. Results: The results shows that the EWLSRA consists of 11 emotion words which were highly associated with suicide risk scores and suicide attempts. Results of exploratory factor analysis support one-factor model of this list. The Fleiss' Kappa value of 0.42 indicated good inter-rater reliability of the list. In terms of criteria validities, indices of despair (Spearman ρ = 0.54, Conclusion: This study demonstrated that the EWLSRA has adequate psychometric performance in identifying suicide-related emotional words of recording of hotline callers to a national wide suicide prevention line. This list can be useful for SER in future studies on suicide prevention.

Indexed as

emotional wordhotlinereliabilityspeech emotion recognitionsuicidal riskvalidity

Identifiers

PMID36440401
PMCPMC9691664

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