METHOD: Participants (N = 75) completed a clinical interview, cognitive control tasks, and the Cognitive Emotion Regulation Questionnaire.
RESULTS: Those with suicidal ideation or previous attempts had poorer cognitive control and cognitive emotion regulation than controls. Furthermore, those who had attempted suicide had poorer cognitive control and reported greater use of self-blame, rumination, and catastrophizing, and less use of acceptance, than those with suicidal ideation only. There was an indirect effect of cognitive control deficits on suicidality through cognitive emotion regulation (self-blame, acceptance, rumination, catastrophizing).
CONCLUSIONS: Exploring these cognitive deficits and difficulties can assist in further understanding the risk factors for suicidality and improve targeted interventions. This is of particular relevance in Iran where the need for policies and interventions targeting the prevention of suicide has been identified.
METHODS: Using a whole-group sampling method, we assessed SI in 2192 (male = 834, female = 1358) medical students on three occasions over a period of one year. The Suicidal Ideation Self-Assessment Scale (SISAS) and the Childhood Trauma Questionnaire-Short Form (CTQ-SF) were used to assess SI and CT. The growth mixture modeling (GMM) was used to classify the developmental trajectory of SI.
RESULTS: A greater number of medical students were experiencing suicidal ideation during the COVID-19 pandemic. The trajectory of SI among medical students was divided into two groups: a low risk, slowly rising group and a high risk, continuous group. The low risk, slowly rising group had a significant time effect (B = 1.57, p
METHOD: We assessed mental health and suicidal behavior of 102 self-identified homosexual males from a community-based organization that works with the sexual minority population.
RESULTS: One-third of the participants (32.4%) had experienced attempted suicide, and almost half (47.1%) had a history of suicidal ideation and self-harm (40.2%). Compared to a heterosexual sample, homosexual males had poorer mental health as they scored higher on Beck Hopelessness Scale (Cohen's d = 0.29) and General Health Questionnaire (GHQ) (Cohen's d = 0.57). The results revealed positive correlations between self-harm, suicidal ideation and suicide attempt scores. Participants with history of suicide attempt, suicide ideation and self-harm reported worse general health, more social dysfunction, and severe depression than those without such history.
CONCLUSION: Suicidality and mental health conditions among homosexual males in Bangladesh have appeared to be alarming. Given the concerns, we offer some recommendations for practitioners and social workers who are serving this population in Bangladesh.
Methods: A cross-sectional survey was conducted among 176 adolescents aged between 13 and 19 years of age with the majority being Malay and Muslim. The Brief Reasons for Living for Adolescents (BRFL-A), Jalowiec Coping Scale and Suicide Ideation Scale were employed.
Results: The results showed that the reasons for living and palliative coping strategy correlated negatively with suicide ideation; although, further analysis using multiple regression revealed that family alliance and optimistic and palliative coping strategies were found to be significant reasons for living that protect adolescents from suicidal thoughts. Also, those adolescents who used emotive and evasive coping strategies had higher suicidal ideation.
Conclusion: Cultural and social values continue to play an important role in protecting adolescents in Malaysia from suicidal behaviour.
METHODS: A search of four databases was conducted: Web of Science, PubMed, Dimensions, and Scopus for research papers dated between January 2016 and September 2021. The search keywords are 'data mining', 'machine learning' in combination with 'suicidal behaviour', 'suicide', 'suicide attempt', 'suicidal ideation', 'suicide plan' and 'self-harm'. The studies that used machine learning techniques were synthesized according to the countries of the articles, sample description, sample size, classification tasks, number of features used to develop the models, types of machine learning techniques, and evaluation of performance metrics.
RESULTS: Thirty-five empirical articles met the criteria to be included in the current review. We provide a general overview of machine learning techniques, examine the feature categories, describe methodological challenges, and suggest areas for improvement and research directions. Ensemble prediction models have been shown to be more accurate and useful than single prediction models.
CONCLUSIONS: Machine learning has great potential for improving estimates of future suicidal behaviour and monitoring changes in risk over time. Further research can address important challenges and potential opportunities that may contribute to significant advances in suicide prediction.
OBJECTIVE: To examine the risk and protective factors contributing to suicidality among undergraduate college students in seven provinces in China.
METHODS: We conducted a cross-sectional study involving 13,387 college students from seven universities in Ningxia, Shandong, Shanghai, Jilin, Qinghai, Shaanxi, and Xinjiang. Data were collected using self-report questionnaires.
RESULTS: Higher scores in the psychological strain, depression, anxiety, stress, and psychache (psychological risk factors for suicidality) and lower scores in self-esteem and purpose in life (psychological protective factors against suicidality) were associated with increased suicidality among undergraduate students in China. Demographic factors which were associated with higher risks of suicidality were female gender, younger age, bad academic results, were an only child, non-participation in school associations, and had an urban household registration. Perceived good health was protective against suicidality.
CONCLUSIONS: Knowing the common risk and protective factors for suicidality among Chinese undergraduate students is useful in developing interventions targeted at this population and to guide public health policies on suicide in China.
OBJECTIVE: The current study examines the association between religious affiliation and suicidality among college students in six provinces in China.
METHODS: We conducted a cross-sectional study involving 11,407 college students from six universities in Ningxia, Shandong, Shanghai, Jilin, Qinghai, and Shaanxi. We collected the data between October 2017 and March 2018 using self-report questionnaires. They included self-report measures of depression, psychache, hopelessness, self-esteem, social support, and life purpose.
RESULTS: Participants with a Christian affiliation had 1.5 times (95% CI: 1.14, 1.99, p = 0.004) higher odds of indicating an elevated suicide risk, 3.1 times (95% CI: 1.90, 5.04, p<0.001) higher odds of indicating a previous suicide attempt, and increased overall suicidality (B = 0.105, p < 0.001) after accounting for demographic and risk/protective factors. Christians also scored the highest in depression, psychache, hopelessness, and the lowest social support, self-esteem, and purpose in life. Muslims reported decreased suicidality (B = -0.034, p = 0.031). Buddhism/Daoism yielded non-significant results in the multivariate analyses.
CONCLUSIONS: Christian college students reported increased suicidality levels, perhaps due to public policies on religion. The decreased suicidality levels among Muslims may be attributed to higher perceived social support. The associations between religious affiliation and suicidality, depression, and hopelessness contrast sharply with US samples. This finding may be influenced by interactions between the religious denomination, individual, and social/political factors. This conclusion includes the possibility of anti-religious discrimination, which this paper did not investigate as a possible mediator and therefore remains a conjecture worthy of future investigation.