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Wang T, Yang L, Yang L, Liu BP, Jia CX. The relationship between psychological pain and suicidality in patients with major depressive disorder: A meta-analysis. J Affect Disord 2024; 346:115-121. [PMID: 37926158 DOI: 10.1016/j.jad.2023.10.160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVE To systematically review the association between psychological pain and suicidality in patients with major depressive disorder (MDD). METHOD The databases of PubMed, Web of Science and PsycINFO were used to search and articles were screened for inclusion and exclusion criteria until February 2022. Two researchers independently screened the papers, extracted data, and evaluated the risk of bias of the included studies. Comprehensive Meta-Analysis software (CMA) was used for meta-analysis and the combined OR (95 % CI) values were calculated. RESULTS A total of 7 articles were included, with a sample size of 1364. The present study showed that psychological pain was a risk factor for suicidality in patients with MDD (OR = 1.322, 95 % CI:1.165-1.500). After Duval and Tweedie trim and fill to rectify potential publication bias, psychological pain was still a risk factor for suicidality in patients with MDD [OR = 1.196 (95 % CI: 1.030-1.388), P < 0.001]. Subgroup analyses showed that average age ≥ 40 [r = 0.57 (95 % CI: 0.32-0.81), P < 0.001] was moderating variable for psychological pain and suicidality. CONCLUSIONS Reducing psychological pain in MDD patients is somewhat important for preventing their suicidality, especially for the patients with advancing age.
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Affiliation(s)
- Tao Wang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Li Yang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Lan Yang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bao-Peng Liu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Cun-Xian Jia
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
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Hu CS, Zhang H, Short LA, Hu S. Individuals with higher suicide risk showed more anger and disgust during rest. DEATH STUDIES 2023; 48:9-15. [PMID: 36906516 DOI: 10.1080/07481187.2023.2186537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Previous research showed that suicide risk was associated with the anger trait and the facial expression of anger when advising on life dilemmas. We investigated if suicide risk was associated with the facial expression of anger during rest, a state when individuals often reflect upon their lives. Participants took a 1-min rest before being assessed for suicide risk. We measured 147 participants' frontal-view facial expressions during their rest 1475-3694 times using automated facial expression analysis technology. Participants' suicide risk was significantly positively correlated with their anger and disgust during the rest, which may be related to psychological pain and death-related thoughts among individuals with suicide risk. Therefore, rest for clinical patients should not be seen simply as a "rest" for the mind. Rather, for counselors, rest may open a window to look into patients' inner thoughts that may be important to their lives.
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Affiliation(s)
- Chao S Hu
- Department of Medical Humanities, School of Humanities, Southeast University, Nanjing, China
- Psychological Research & Education Center, School of Humanities, Southeast University, Nanjing, China
| | - Haotian Zhang
- Department of Psychology, School of Philosophy, Wuhan University, Wuhan, China
| | - Lindsey A Short
- Department of Psychology, Redeemer University, Ancaster, Canada
| | - Shuhua Hu
- Department of Psychology, Jinghengyi Education School, Hangzhou Normal University, Hangzhou, China
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Carpenter RK, Horton JC, Alloway TP. Time Perspective, Working Memory, and Depression in Non-Clinical Samples: Is There a Link? THE JOURNAL OF PSYCHOLOGY 2022; 156:414-434. [PMID: 35737895 DOI: 10.1080/00223980.2022.2078948] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Abstract
Non-clinical depression is a major issue on college campuses, with some surveys estimating that 30% of college students have experienced a major depressive episode. One theoretical framework of depression is Zimbardo and Boyd (1999) time perspective model, which posits that our perspectives on time impact different aspects of life including our emotions, judgments, and decision making. The current study seeks to determine the role of this time perspectives model and a range of cognitive constructs including hope, rumination, and working memory on their influence in depression. Currently enrolled college students and participants not currently enrolled in college completed the Center for Epidemiologic Studies Depression Scale, the Zimbardo Time Perspective Inventory, the Adult Hope Scale, the Rumination Reflection Questionnaire, and the Automated Working Memory Assessment. Linear regression analysis revealed that, for the college students, Rumination and Past Negative scores predicted depressive symptoms. For the non-college students, Rumination, Present Fatalism, Hope Agency and Verbal Working Memory scores predicted depressive symptoms. The current results reiterate the importance of rumination in depression symptomology and that current cognitive depression models and treatments may benefit from including time perspective measures. Further implications of the results are discussed.
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Shen J, Zhang S, Tong Y, Dong X, Wang X, Fu G, Zhao L, Wu M, Yin Y, Wang Y, Liu NH, Wu J, Li J. Establishment and psychometric characteristics of emotional words list for suicidal risk assessment in speech emotion recognition. Front Psychiatry 2022; 13:1022036. [PMID: 36440401 PMCID: PMC9691664 DOI: 10.3389/fpsyt.2022.1022036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 10/27/2022] [Indexed: 11/13/2022] Open
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, P < 0.001), sadness (ρ = 0.37, P = 0.006), helplessness (ρ = 0.45, P = 0.001), and numbness (ρ = 0.35, P = 0.009) were significantly associated with suicidal risk scores. The index of the emotional word of numbness in callers with suicide attempt during the 12-month follow-up was significantly higher than that in callers without suicide attempt during the follow-up (P = 0.049). 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.
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Affiliation(s)
- Juan Shen
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.,WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China
| | - Shuo Zhang
- Faculty of Information Technology, Beijing University of Technology, Beijing, China
| | - Yongsheng Tong
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.,WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China.,Peking University Huilongguan Clinical Medical School, Beijing, China
| | - Xiangmin Dong
- Faculty of Information Technology, Beijing University of Technology, Beijing, China
| | - Xuelian Wang
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.,WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China.,Peking University Huilongguan Clinical Medical School, Beijing, China
| | - Guanghui Fu
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Liting Zhao
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.,WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China
| | - Mengjie Wu
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.,WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China.,Peking University Huilongguan Clinical Medical School, Beijing, China
| | - Yi Yin
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.,WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China.,Peking University Huilongguan Clinical Medical School, Beijing, China
| | - Yuehua Wang
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.,WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China
| | - Nancy H Liu
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Jianlan Wu
- Beijing Suicide Research and Prevention Center, Beijing Huilongguan Hospital, Beijing, China.,WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China.,Peking University Huilongguan Clinical Medical School, Beijing, China
| | - Jianqiang Li
- Faculty of Information Technology, Beijing University of Technology, Beijing, China
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