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Characteristics of overdose and non-overdose suicide attempts in a multi-ethnic Asian society

Mak KK, Ho CS, Zhang MW, Day JR, Ho RC

Asian J Psychiatr, 2013 Oct;6(5):373-9.
PMID: 24011683 DOI: 10.1016/j.ajp.2013.03.011

Overdosing is an accessible method adopted by people attempting suicide in city settings.

Matched MeSH terms: Suicidal Ideation
Suicidal behaviors and associated factors among university students in six countries in the Association of Southeast Asian Nations (ASEAN)

Peltzer K, Yi S, Pengpid S

Asian J Psychiatr, 2017 Apr;26:32-38.
PMID: 28483087 DOI: 10.1016/j.ajp.2017.01.019

A large data gap remains on suicidal behaviors among youth in the Association of Southeast Asian Nations (ASEAN) countries, despite the increasing rates of suicide in Asian cultures that may be related to rapid economic changes and the loss of social stability. This study was therefore conducted to explore the prevalence of and factors associated with suicidal ideation and suicide attempts among university students in six ASEAN member states. Data were collected in a cross-sectional survey of 4675 undergraduate university students, mean age 20.6 years (SD=2.7), range of 18-30 years, from Cambodia, Indonesia, Malaysia, Myanmar, Thailand and Vietnam. The overall prevalence of ever suicidal ideation and ever suicide attempt among students in this study was 11.7% and 2.4%, respectively. Different rates of these suicidal behaviors were observed across the countries. In multivariable logistic regression models, suicidal ideation was significantly associated with psychosocial factors including childhood sexual abuse, depressive symptoms, involvement in physical fights, and poor academic performance as well as socio-environmental factors including living with parents or guardians and low involvement in organized religious activity. Suicide attempt was significantly associated with childhood sexual abuse, depressive symptoms, low involvement in organized religious activity and being underweight or overweight. Our findings suggest that individual-level strategies for suicide prevention should be targeted toward students with poor academic performance, mental health problems and a history of adverse childhood experiences. Particular attention should be paid to the role of families that could be a potential stressor in the lives of university students.

Matched MeSH terms: Suicidal Ideation*
An explainable predictive model for suicide attempt risk using an ensemble learning and Shapley Additive Explanations (SHAP) approach

Nordin N, Zainol Z, Mohd Noor MH, Chan LF

Asian J Psychiatr, 2023 Jan;79:103316.
PMID: 36395702 DOI: 10.1016/j.ajp.2022.103316

Machine learning approaches have been used to develop suicide attempt predictive models recently and have been shown to have a good performance. However, those proposed models have difficulty interpreting and understanding why an individual has suicidal attempts. To overcome this issue, the identification of features such as risk factors in predicting suicide attempts is important for clinicians to make decisions. Therefore, the aim of this study is to propose an explainable predictive model to predict and analyse the importance of features for suicide attempts. This model can also provide explanations to improve the clinical understanding of suicide attempts. Two complex ensemble learning models, namely Random Forest and Gradient Boosting with an explanatory model (SHapley Additive exPlanations (SHAP)) have been constructed. The models are used for predictive interpretation and understanding of the importance of the features. The experiment shows that both models with SHAP are able to interpret and understand the nature of an individual's predictions with suicide attempts. However, compared with Random Forest, the results show that Gradient Boosting with SHAP achieves higher accuracy and the analyses found that history of suicide attempts, suicidal ideation, and ethnicity as the main predictors for suicide attempts.

Matched MeSH terms: Suicidal Ideation*
Fulltext Sexual abuse and substance abuse increase risk of suicidal behavior in Malaysian youth

Chan LF, Maniam T, Saini SM, Shah SA, Loh SF, Sinniah A, et al.

Asia Pac Psychiatry, 2013 Apr;5 Suppl 1:123-6.
PMID: 23857848 DOI: 10.1111/appy.12057

INTRODUCTION: The aim of this study was to determine the association between sexual abuse, substance abuse and socio-demographic factors with suicidal ideation (SI), plans (SP) and deliberate self-harm (DSH) and propose steps to prevent youth suicidal behavior.
METHODS: This was a cross-sectional study of 6786 adolescents aged 17-18 years, selected randomly from all Malaysian adolescents to undergo compulsory youth camps located in Selangor, Malaysia (2008-2009). Participants were assessed using self-administered questionnaires developed to reflect the local cultural setting. However, only 4581 subjects were analyzed after excluding incomplete data.
RESULTS: The rates of SI, SP and DSH were 7.6%, 3.2% and 6.3%, respectively. The multivariable-adjusted odds ratio showed that sexual abuse was associated with SI 1.99 (95% CI: 1.56-2.55), SP 1.57 (95% CI: 1.09-2.27) and DSH 2.26 (95% CI: 1.75-2.94); illicit drug use was associated with SI 4.05 (95% CI: 2.14-7.67), SP 2.62 (95% CI: 1.05-6.53) and DSH 2.06, (95% CI: 1.05-4.04); for alcohol use DSH was 1.34 (95% CI: 1.00-1.79). Being female was associated with all suicidal behaviors: SI 2.51 (95% CI: 1.91-3.30), SP 2.07 (95% CI: 1.39-3.08) and DSH 1.59 (95% CI: 1.19-2.11).
DISCUSSION: Given the well-founded concern of increasing risk of suicidal behavior among youth, preventive efforts should adopt a more comprehensive approach in dealing with sexual abuse and substance abuse, and their sequelae, especially in girls.
KEYWORDS: adolescent; risks; sexual abuse; substance abuse; suicidal behavior

Matched MeSH terms: Suicidal Ideation*
Pattern of suicides in 2009: data from the National Suicide Registry Malaysia

Ali NH, Zainun KA, Bahar N, Haniff J, Hamid AM, Bujang MA, et al.

Asia Pac Psychiatry, 2014 Jun;6(2):217-25.
PMID: 23857761 DOI: 10.1111/j.1758-5872.2012.00227.x

The National Suicide Registry Malaysia (NSRM) is a nationwide system that captures data on completed suicides in Malaysia from all forensic departments under the purview of the Ministry of Health Malaysia.

Matched MeSH terms: Suicidal Ideation*
Efficacy and safety of esketamine nasal spray in addition to standard of care in patients with major depressive disorder who have active suicidal ideation with intent: A subgroup analysis of the Asian cohort of ASPIRE I (a randomized, double-blind, placebo-controlled study)

Hong JP, Malek AZA, Li CT, Paik JW, Sulaiman AH, Madriaga G, et al.

Asia Pac Psychiatry, 2023 Dec;15(4):e12548.
PMID: 37771084 DOI: 10.1111/appy.12548

This post-hoc analysis evaluated the efficacy and safety of intranasal esketamine in the Asian subgroup from ASPIRE I. Patients with major depressive disorder and suicidal ideation with intent received intranasal esketamine (n = 26) or placebo (n = 27), plus standard of care for 25 days. The primary endpoint was the change in Montgomery-Åsberg Depression Rating Scale (MADRS) total score from baseline to Day 2. The MADRS score improved in favor of esketamine (least squares mean difference: -3.8). No unexpected safety concerns were noted. The Asian subgroup showed a similar efficacy and safety profile as the total ASPIRE I cohort.

Matched MeSH terms: Suicidal Ideation
Suicidal ideation among Malaysian adolescents

Ahmad N, Cheong SM, Ibrahim N, Rosman A

Asia Pac J Public Health, 2014 Sep;26(5 Suppl):63S-9S.
PMID: 25005932 DOI: 10.1177/1010539514540746

Adolescence is the time of greatest risk for the first onset of suicidal behaviors. This study aimed to identify the risk and protective factors associated with suicidal ideation among Malaysian adolescents. Data from the 2012 Malaysia Global School-based Student Health Survey, a nationwide study using a 2-stage cluster sampling design, were analyzed. The survey used a self-administered validated bilingual questionnaire and the Depression Anxiety and Stress Scale. The prevalence of suicidal ideation was 7.9%. Analysis revealed that suicidal ideation was positively associated with depression, anxiety, stress, substance use, being bullied, and being abused at home, either physically or verbally. In addition, suicidal ideation was significantly higher among females and among the Indians and Chinese. Having close friends and married parents were strongly protective against suicidal ideation. Understanding the risk and protective factors is important in providing comprehensive management for suicidal ideation.
Study name: Global School-Based Student Health Survey (GSHS)

Matched MeSH terms: Suicidal Ideation*
Suicidal behaviour prediction models using machine learning techniques: A systematic review

Nordin N, Zainol Z, Mohd Noor MH, Chan LF

Artif Intell Med, 2022 10;132:102395.
PMID: 36207078 DOI: 10.1016/j.artmed.2022.102395

BACKGROUND: Early detection and prediction of suicidal behaviour are key factors in suicide control. In conjunction with recent advances in the field of artificial intelligence, there is increasing research into how machine learning can assist in the detection, prediction and treatment of suicidal behaviour. Therefore, this study aims to provide a comprehensive review of the literature exploring machine learning techniques in the study of suicidal behaviour prediction.
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.

Matched MeSH terms: Suicidal Ideation*
Fulltext Varenicline - a new pharmacotherapy for smoking cessation: implication for smokers with mental health problems

Rusdi Abdul Rashid, Muhammad Muhsin Ahmad Zahari, Mohammad Hussain Habil, Noor Zurani Md Haris Robson

ASEAN Journal of Psychiatry, 2009;10(2):202-209.
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Objective: The smoking rate among patients with mental health problem is higher than in the general population. Effective pharmacotherapy to treat nicotine addiction is thus needed to reduce the morbidity and mortality associated with cigarette smoking among these patients. This article reviews the literature on the suitability of varenicline for smokers with mental health problems.
Methods: A search of the literature was conducted using PubMed from year 2001 to July 2009 using key words varenicline alone and varenicline and mental health. Articles chosen were narrowed to those published in English. The type of articles chosen included clinical trials, metaanalyses, case reports, and review articles.
Results: The search produced a total of 322 articles on varenicline and 14 articles on varenicline and mental health. Varenicline, a new drug for smoking cessation is an α4β2 partial agonist and partial antagonist at nicotinic acetylcholine receptor. As a partial agonist, varenicline relieves craving and withdrawal symptoms that occur during smoking abstinence and also reduce the rewarding effects of smoking in patients who relapse. However, at present, there is concern regarding the neuropsychiatric side effects such as aggressive behaviour, suicidal ideation, mania and depression associated with varenicline use in patients with mental health problems, but these reports did not show a causal-link or lack of link between these symptoms and varenicline.
Conclusion: Current available data support the effectiveness of varenicline to treat nicotine dependence. However its safety among smokers with mental health problems remains to be elucidated. At present, further safety assessment is needed in this patient population. Until new data is available regarding the safety of varenicline in these populations, psychiatrists and physicians prescribing this medication should be extra cautious and monitor for possible psychiatric side effects when prescribing this medication to patients with pre-existing psychiatric disorders or have vulnerability to psychoses.

Matched MeSH terms: Suicidal Ideation