Displaying publications 81 - 89 of 89 in total

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  1. 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*
  2. Ooi MY, Rabbani M, Yahya AN, Siau CS
    Omega (Westport), 2023 Mar;86(4):1312-1328.
    PMID: 33844601 DOI: 10.1177/00302228211005864
    The aim of this study was to investigate the relationship between religious orientation, coping strategies and suicidal behaviour among secondary school adolescents and college students. A total of 196 participants (73 adolescents and 123 adults college students) completed the online survey consisting of the Religious-Orientation Scale-Revised, Brief COPE and Suicidal Behaviours Questionnaire-Revised. Adolescents in secondary school had higher odds of suicidal thoughts and behaviour than college students (OR 4.40, 95% CI: 1.133, 17.094, p = 0.032). Individuals who employed an avoidant coping strategy had higher odds of suicidal thoughts and behaviour after adjusting for other relevant variables, which indicated that when a person engages in avoidant coping strategy, it is most likely that they have a higher odds of suicidal thoughts and behaviour (OR 1.118, 95% CI: 1.050, 1.189, p 
    Matched MeSH terms: Suicidal Ideation*
  3. Gewirtz-Meydan A, Koós M, Nagy L, Kraus SW, Demetrovics Z, Potenza MN, et al.
    Public Health, 2024 Apr;229:13-23.
    PMID: 38382177 DOI: 10.1016/j.puhe.2023.12.031
    OBJECTIVES: This study aimed to examine the psychometric properties of the P4 suicide screener in a multinational sample. The primary goal was to evaluate the reliability and validity of the scale and investigate its convergent validity by analyzing its correlation with depression, anxiety, and substance use.

    STUDY DESIGN: The study design is a cross-sectional self-report study conducted across 42 countries.

    METHODS: A cross-sectional, self-report study was conducted in 42 countries, with a total of 82,243 participants included in the final data set.

    RESULTS: The study provides an overview of suicide ideation rates across 42 countries and confirms the structural validity of the P4 screener. The findings indicated that sexual and gender minority individuals exhibited higher rates of suicidal ideation. The P4 screener showed adequate reliability, convergence, and discriminant validity, and a cutoff score of 1 is recommended to identify individuals at risk of suicidal behavior.

    CONCLUSIONS: The study supports the reliability and validity of the P4 suicide screener across 42 diverse countries, highlighting the importance of using a cross-cultural suicide risk assessment to standardize the identification of high-risk individuals and tailoring culturally sensitive suicide prevention strategies.

    Matched MeSH terms: Suicidal Ideation*
  4. Zhang J, Lew B, Liu Y, Chistopolskaya K, Zhao S
    Omega (Westport), 2024 May;89(1):275-291.
    PMID: 35098786 DOI: 10.1177/00302228211072985
    BACKGROUND: There is a lack of religiosity studies in China especially in relation to mental health and suicidality. In this research, we focus our studies on medical workers of which some studies reported to have higher stress, and to pilot our studies in this adult age-group.

    DATA AND METHODOLOGY: Data were obtained by a questionnaire survey in a large public hospital in a big metropolitan city of China. The final sample consisted of 1012 respondents with 237 (23.4%) being male and 775 (76.6%) being female. The respondents were of three groups: (1) Believers (n = 34; 3.5%); (2) Non-Believers or Atheists (n = 547; 55.8%); and (3) Agnostics or Fence-Sitters (n = 400; 40.8%). Suicidality was measured by the NCS-Suicidality Scale, and standard measures were employed for other major variables.

    FINDINGS: In line with other recent studies in China, the religion rate among the urban adults remained low (3.5%). However, about 40.8% of the respondents chose "don't know" and could be fence-sitters on the issue of religious belief. Many of them are involved in various folk beliefs which may not be considered as religious. The religious believers were at higher risk of suicidality and depression than the atheists and the fence-sitters. However, the fence-sitters were higher than the believers and atheists on psychological strains, and they were higher on depression compared to the atheists.

    CONCLUSION: The religious believers and religious fence-sitters have higher psychopathologic risks and suicidal risk than the atheist group. Religion as of low prevalence in Chinese societies is a social value deviant from the norm and its practitioners are likely to be marginalized or stigmatized. The Strain Theory of Suicide is used for detailed explanations.

    Matched MeSH terms: Suicidal Ideation*
  5. Aishvarya S, Maniam T, Sidi H, Oei TP
    Compr Psychiatry, 2014 Jan;55 Suppl 1:S95-100.
    PMID: 23433220 DOI: 10.1016/j.comppsych.2013.01.005
    The aim of this paper was to review the literature on suicide ideation and intent in Malaysia. PsyINFO, PubMed, Medline databases from 1845 to 2012 and detailed manual search of local official reports from Ministry of Health, Malaysian Psychiatric Association and unpublished dissertations from 3 local universities providing postgraduate psychiatric training, were included in the current review. A total of 13 studies on suicide ideation and intent in Malaysia were found and reviewed. The review showed that research on suicide ideation and intent in Malaysia was fragmented and limited, at best. Approximately 50% of existing research on suicide ideation and intent simply focused on sociodemographic data. Fifty-four percent of the data were obtained from hospitals. No study has been conducted on treatment and interventions for suicide ideation and intent. None of the studies used validated suicide scales. The impact of culture was rarely considered. It was clear from the review that for researchers, clinicians and public health policy makers to gain a better understanding of suicide behavior especially suicide ideation and intent in Malaysia, more systematic and empirically stringent methodologies and research frameworks need to be used.
    Matched MeSH terms: Suicidal Ideation*
  6. Kalman JL, Yoshida T, Andlauer TFM, Schulte EC, Adorjan K, Alda M, et al.
    Eur Arch Psychiatry Clin Neurosci, 2022 Dec;272(8):1611-1620.
    PMID: 35146571 DOI: 10.1007/s00406-021-01366-5
    Personality traits influence risk for suicidal behavior. We examined phenotype- and genotype-level associations between the Big Five personality traits and suicidal ideation and attempt in major depressive, bipolar and schizoaffective disorder, and schizophrenia patients (N = 3012) using fixed- and random-effects inverse variance-weighted meta-analyses. Suicidal ideations were more likely to be reported by patients with higher neuroticism and lower extraversion phenotypic scores, but showed no significant association with polygenic load for these personality traits. Our findings provide new insights into the association between personality and suicidal behavior across mental illnesses and suggest that the genetic component of personality traits is unlikely to have strong causal effects on suicidal behavior.
    Matched MeSH terms: Suicidal Ideation*
  7. 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*
  8. Lyndon N, Azman H, Che Rose RA, Mat Jali MF
    Clin Interv Aging, 2021;16:1379-1392.
    PMID: 34290500 DOI: 10.2147/CIA.S310405
    BACKGROUND: Globally, suicide is regarded as an immoral behavior and can be considered a criminal act in some societies. Sociological narrative views suicide not only as a result of mental illness suffered by the individuals but may also be caused by the social environment and other risk factors.

    PURPOSE: The objective of this study is to examine the social risk factors that drive older people to have suicidal feelings or tendencies and the extent to which these factors arise from the changes that occur in their social environment as a result of the process of modernization and industrialization.

    METHODS: This study employed the phenomenological approach through qualitative data collection technique. A total of 20 informants comprising 10 males and 10 females of Malay, Chinese and Indian ethnicity were selected for the study using purposive sampling technique. In-depth interviews were conducted with the informants. Data were transcribed and subsequently analyzed thematically using the NVivo 11 software.

    RESULTS: The findings revealed five conditions that led older people toward suicidal intentions. These include social and cultural changes, lack of social support, conflict in religious belief, influence of economic uncertainty and socio-economic status, and depression as a result of the changes in their social environment.

    CONCLUSION: The implication of this research is that these factors affect older people directly as they struggle to adapt and respond to the major changes that occur in the social structure of the society they live in, stemming from the process of modernization and industrialization. Efforts to enact better policies and services for older people need to be addressed especially in developing countries based on assessment of their needs, weaknesses, strengths, and capabilities by incorporating elements of the worldview of the older people based on their experiences of daily lives.

    Matched MeSH terms: Suicidal Ideation*
  9. Mohamad MA, Leong Bin Abdullah MFI, Shari NI
    BMC Geriatr, 2024 Mar 14;24(1):254.
    PMID: 38486186 DOI: 10.1186/s12877-024-04753-4
    BACKGROUND: People with dementia and their caregivers are prone to suicidal behaviors due to difficulty adjusting to their initial caregiving role and due to emotional disturbances resulting from deterioration of functioning. The present systematic review (1) explored the prevalence of and risk factors for suicidal behavior and (2) assessed the similarities and differences in the prevalence and risk factors for suicidal behavior between people with dementia and their caregivers.

    METHODS: A comprehensive literature search for research articles published between 1950 and 2023 was carried out using major databases, such as Google Scholar, Web of Science, PubMed, Scopus, PsycINFO, EMBASE, the Cochrane Library, and Medline.

    RESULTS: A total of 40 research articles were selected for review. A total of 12 research articles revealed that the prevalence of suicidal behavior among caregivers ranged from 4.7% to 26%. However, the risk of suicidal behavior among people with dementia was inconsistent, as only 17 out of 28 selected studies reported the risk of suicidal behavior among people with dementia. The risk factors associated with suicidal behavior among caregivers of people with dementia could be both self-related and care receiver-related factors, whereas risk factors in people with dementia were self-related factors. Notably, greater cognitive decline, which impairs individuals' ability to carry out complex acts and planning, may lower their suicidal risk. Finally, assessment of the risk of bias indicated that 95% of the selected studies had unclear risk.

    CONCLUSION: Self-related and care receiver-related factors should be assessed among caregivers of people with dementia to evaluate the risk of suicidal behavior. In addition, we recommend evaluating suicidal risk in people with dementia in the early phase of dementia when cognitive decline is less severe. However, as the majority of the selected studies had unclear risk of bias, future studies with improved methodologies are warranted to confirm our study findings.

    Matched MeSH terms: Suicidal Ideation
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