scholarly journals Suicide Attempters Showed More Anger than Non-attempters When Advising on a Hypothetical Life Dilemma

2019 ◽  
Author(s):  
Chao S. Hu ◽  
Hark Huang

Objective: to explore wisdom and emotion as suicide attempters advised on a life dilemma. Method: a study was conducted with 130 adults, of whom 36 indicated a previous suicide attempt. In addition to advising a hypothetical protagonist of a friend’s betrayal, participants also completed scales of suicide risk, meaning of life, collectivism and individualism. Three well-trained raters rated their transcribed advice on wise reasoning; moreover, their micro-facial expression during advice-giving was analyzed by software Facereader7.1. Results: suicide attempters had significantly lower meaning of life, lower horizontal collectivism, and higher horizontal individualism than non-attempters. There was no significant difference in wise reasoning; nevertheless, the suicide attempters showed significantly more anger during advising than non-attempters. Moreover, a Support Vector Machine trained on the participants’ micro-facial expression during advice-giving predicted suicide attempt with an accuracy above chance, i.e., 72%. Conclusion: the lack of meaning in life is a potential cause of suicide. Horizontal collectivism, rather than vertical collectivism, is a buffer against suicide. Suicide attempters showed more anger than non-attempters when advising on a life dilemma. Therefore, the wisdom advising task may help to predict and therefore prevent suicide based on the participants’ authentic emotional reaction, instead of their verbal responses.

2021 ◽  
pp. 1-8
Author(s):  
Ali Bani-Fatemi ◽  
Christopher Adanty ◽  
Nasia Dai ◽  
Ariel Graff ◽  
Philip Gerretsen ◽  
...  

Background: Studies have shown that the overall copy number variant (CNV) load is associated with schizophrenia. Schizophrenia is a mental disorder that is frequently associated with suicidal behavior. Methods: We recruited 263 patients with schizophrenia from the Centre for Addiction and Mental Health. The Columbia Suicide Severity Rating Scale was used to assess the presence of lifetime suicide attempt. Genotyping was completed using the Illumina Omni 2.5 chip. We tested the association between deletion events on chromosome 22 with suicide attempt in our schizophrenia sample. Results: There was no significant difference between suicide attempters and non-attempters considering the presence/absence of deletion events on chromosome 22. Conclusion: Although our results did not show a significant association between deletions on chromosome 22 and suicide attempt in schizophrenia, CNV studies may reveal important, novel insights and open further investigation for the treatment of neuropsychiatric diseases.


2021 ◽  
Vol 9 (1) ◽  
pp. 146-159
Author(s):  
Nuriye Şeyma Kara ◽  

The aim of this study is to examine the meaning of life, forgiveness flexibility, cognitive flexibility and psychological symptoms in individuals who do sports and those who do not. The research was carried out using the "relational scanning model". The universe of the study was formed by the students studying at Sakarya Applied Sciences University Faculty of Sport Sciences and Sakarya University. The sample consists of 686 students, 306 females and 380 males, selected by simple random method from this population. The data collected in the study were analyzed using descriptive statistics, independent groups t-test, one-way analysis of variance and Pearson correlation analysis. As a result of the research, it was found that the total score of psychological symptoms differed significantly in the faculties of education according to the state of doing sports and the sports year. On the other hand, no significant difference was found in the sub-dimensions of flexibility for forgiveness and meaning of life. Finally, it was concluded that cognitive flexibility scores differ significantly in the faculties of education according to the state of doing sports and the sports year.


Crisis ◽  
2010 ◽  
Vol 31 (6) ◽  
pp. 303-310 ◽  
Author(s):  
Bas Verwey ◽  
Jeroen A. van Waarde ◽  
Molla A. Bozdağ ◽  
Iris van Rooij ◽  
Edwin de Beurs ◽  
...  

Background: Assessment of suicide attempters in a general hospital may be influenced by the condition of the patient and the unfavorable circumstances of the hospital environment. Aims: To determine whether the results of a reassessment at home shortly after discharge from hospital differ from the initial assessment in the hospital. Methods: In this prospective study, systematic assessment of 52 suicide attempters in a general hospital was compared with reassessment at home, shortly after discharge. Results: Reassessments at home concerning suicide intent, motives for suicide attempt, and dimensions of psychopathology did not differ significantly from the initial hospital assessment. However, patients’ motives for the suicide attempt had changed to being less impulsive and more suicidal, worrying was significantly higher, and self-esteem was significantly lower. A third of the patients had forgotten their aftercare arrangements and most patients who initially felt no need for additional help had changed their mind at reassessment. Conclusions: Results from this group of suicide attempters suggest that a brief reassessment at home shortly after discharge from hospital should be considered.


Crisis ◽  
2020 ◽  
pp. 1-8
Author(s):  
Chao S. Hu ◽  
Jiajia Ji ◽  
Jinhao Huang ◽  
Zhe Feng ◽  
Dong Xie ◽  
...  

Abstract. Background: High school and university teachers need to advise students against attempting suicide, the second leading cause of death among 15–29-year-olds. Aims: To investigate the role of reasoning and emotion in advising against suicide. Method: We conducted a study with 130 students at a university that specializes in teachers' education. Participants sat in front of a camera, videotaping their advising against suicide. Three raters scored their transcribed advice on "wise reasoning" (i.e., expert forms of reasoning: considering a variety of conditions, awareness of the limitation of one's knowledge, taking others' perspectives). Four registered psychologists experienced in suicide prevention techniques rated the transcripts on the potential for suicide prevention. Finally, using the software Facereader 7.1, we analyzed participants' micro-facial expressions during advice-giving. Results: Wiser reasoning and less disgust predicted higher potential for suicide prevention. Moreover, higher potential for suicide prevention was associated with more surprise. Limitations: The actual efficacy of suicide prevention was not assessed. Conclusion: Wise reasoning and counter-stereotypic ideas that trigger surprise probably contribute to the potential for suicide prevention. This advising paradigm may help train teachers in advising students against suicide, measuring wise reasoning, and monitoring a harmful emotional reaction, that is, disgust.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 487-487
Author(s):  
Theresa Chrisman

Abstract Depression and lack of meaning in life (MIL) are common among residents of nursing homes (NHs) and contribute to a reduction in overall health and well-being. Life Story Book (LSB), a reminiscence intervention, is designed to provide a person with the opportunity to review their past and capture their life stories and photographs into a book. LSB has demonstrated positive outcomes for residents of NHs with dementia, yet little is known for residents without dementia. A switching replication design was used to examine the effects of LSB among 21 mentally alert residents from two NHs (NH-A and NH-B) in Houston, Texas. Participants in NH-A received three weeks of the LSB intervention, while NH-B received three weeks of care-as-usual; the intervention was then switched. The GDS-12R and the MIL questionnaire (MLQ) were used to measure depressive symptoms and MIL respectively. Participants from NH-A (n =11) and NH-B (n = 10) had a mean age of 75 years (SD =11.34); 81% female; 52% non-Hispanic white and 33% African American. Results from a one-way MANCOVA found no statistically significant difference on the GDS-12R and MLQ (F(3, 14) = 2.50, p = .102; Wilks’ Lambda = .652; η2 = .35). Further analyses comparing the pre-intervention and post-intervention scores for the entire sample (N =21) found a significant reduction in depressive symptoms (M = 2.67; SD = 2.52) and (M =1.67, SD = 2.29); (t (20) = 2.21, p = 0.039). The potential benefits of LSB for mentally alert residents of NHs warrants further research.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Seyed Muhammad Hossein Mousavi ◽  
S. Younes Mirinezhad

AbstractThis study presents a new color-depth based face database gathered from different genders and age ranges from Iranian subjects. Using suitable databases, it is possible to validate and assess available methods in different research fields. This database has application in different fields such as face recognition, age estimation and Facial Expression Recognition and Facial Micro Expressions Recognition. Image databases based on their size and resolution are mostly large. Color images usually consist of three channels namely Red, Green and Blue. But in the last decade, another aspect of image type has emerged, named “depth image”. Depth images are used in calculating range and distance between objects and the sensor. Depending on the depth sensor technology, it is possible to acquire range data differently. Kinect sensor version 2 is capable of acquiring color and depth data simultaneously. Facial expression recognition is an important field in image processing, which has multiple uses from animation to psychology. Currently, there is a few numbers of color-depth (RGB-D) facial micro expressions recognition databases existing. With adding depth data to color data, the accuracy of final recognition will be increased. Due to the shortage of color-depth based facial expression databases and some weakness in available ones, a new and almost perfect RGB-D face database is presented in this paper, covering Middle-Eastern face type. In the validation section, the database will be compared with some famous benchmark face databases. For evaluation, Histogram Oriented Gradients features are extracted, and classification algorithms such as Support Vector Machine, Multi-Layer Neural Network and a deep learning method, called Convolutional Neural Network or are employed. The results are so promising.


Author(s):  
Leah Shelef ◽  
Jessica M Rabbany ◽  
Peter M Gutierrez ◽  
Ron Kedem ◽  
Ariel Ben Yehuda ◽  
...  

Past suicide attempts are a significant risk factor for future suicidality. Therefore, the present military-based study examined the past suicidal behavior of soldiers who recently made a severe suicide attempt. Our sample consisted of 65 active-duty soldiers (61.5% males), between the ages of 18 and 28 years old (M = 20.4, SD ± 1.3). The inclusion criterion was a recent severe suicide attempt, requiring at least a 24 h hospitalization. This sample was divided into two groups, according to previous suicidal behavior, namely whether their first suicide attempt was before or after enlistment (n = 25; 38.5% and n = 40; 61.5%, respectively). We then examined the lethality and intent of the recent event in regard to this division. Four measures were used to assess the subjects’ suicidal characteristics: the Columbia Suicide Severity Rating Scale, the Self-Harm Behavior Questionnaire, the Suicidal Behaviors Questionnaire-Revised, and the Beck Scale for Suicide Ideation. No significant difference in the severity of the suicide attempts (either actual or potential severity) were found between those who had suicide attempts before enlistment and those who had their first attempt in the service. As a matter of fact, most of the suicide attempts that occurred for the first time during military service had used a violent method (58.3%, n = 21). Finally, using multivariate analyses, we found that current thoughts and behavior, rather than past suicidality, was the strongest predictor for the lethality of suicide attempts.


2013 ◽  
Vol 23 (06) ◽  
pp. 1350028 ◽  
Author(s):  
YU WANG ◽  
WEIDONG ZHOU ◽  
QI YUAN ◽  
XUELI LI ◽  
QINGFANG MENG ◽  
...  

The feature analysis of epileptic EEG is very significant in diagnosis of epilepsy. This paper introduces two nonlinear features derived from fractal geometry for epileptic EEG analysis. The features of blanket dimension and fractal intercept are extracted to characterize behavior of EEG activities, and then their discriminatory power for ictal and interictal EEGs are compared by means of statistical methods. It is found that there is significant difference of the blanket dimension and fractal intercept between interictal and ictal EEGs, and the difference of the fractal intercept feature between interictal and ictal EEGs is more noticeable than the blanket dimension feature. Furthermore, these two fractal features at multi-scales are combined with support vector machine (SVM) to achieve accuracies of 97.58% for ictal and interictal EEG classification and 97.13% for normal, ictal and interictal EEG classification.


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