ArticleBMC public health2021
Identifying socio-demographic risk factors for suicide using data on an individual level.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies.BMC medical informatics and decision making · 2024Pooled it
- Breaking Down Barriers to a Suicide Prevention Helpline: Web-Based Randomized Controlled Trial.JMIR mental health · 2024Trial
- Blood Alcohol Concentration in Finnish Suicide Deaths and Associated Risk Factors, 2016-2024.Acta psychiatrica Scandinavica · 2026Article
- Insights into middle-aged men (40-70) who died by suicide: a nationwide mixed methods study in the Netherlands.BMC public health · 2026Article
- Sociodemographic differences in the risk of suicides in children and young people: a population level linked study in England, 2011 to 2022.Journal of epidemiology and community health · 2026Article
- Staying Safe: lessons from suicide prevention for chiropractors and osteopaths.Chiropractic & manual therapies · 2025Article
- Moral injury is independently associated with suicidal ideation and suicide attempt in high-stress, service-oriented occupations.Npj mental health research · 2025Article
- Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability.BMC public health · 2025Article
- Considering the interconnected nature of social identities in neuroimaging research.Nature neuroscience · 2025Review
- Integrating Social Determinants With the Interpersonal Theory of Suicide in a Study of Bipolar Outpatients.Suicide & life-threatening behavior · 2025Article
- Epidemiology of Suicide and Associated Factors in Bam: A Historical Cohort Study.Clinical practice and epidemiology in mental health : CP & EMH · 2025Article
- The impact of suicide prevention training for nursing assistant students: Knowledge and willingness to intervene.PloS one · 2025Article
- A Decade of Dedication: Pioneering Perspectives on Neurological Diseases and Mental Illnesses.Biomedicines · 2024Article
- Sociodemographic and psychosocial risk factors of railway suicide a mixed-methods study combining data of all suicide decedents in the Netherlands with data from a psychosocial autopsy study.BMC public health · 2024Article
- Article
- Differences in suicide acceptability by farming-related occupation, demographic, and religiosity factors, general social survey 2000-2022.PLOS mental health · 2024Article
- Breaking Down Barriers to a Suicide Prevention Helpline: Protocol for a Web-Based Randomized Controlled Trial.JMIR research protocols · 2023Article
- Suicidal Ideation in Iraqi Medical Students Based on Research Using PHQ-9 and SSI-C.International journal of environmental research and public health · 2023Article
- Editorial: The neurobiology of suicide: the 'suicidal brain'.Frontiers in psychiatry · 2023Article
- Suicide within 1 year of non-fatal overdose: Risk factors and risk reduction with medications for opioid use disorder.General hospital psychiatryArticle
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSuicide is a complex issue. Due to the relative rarity of the event, studies into risk factors are regularly limited by sample size or biased samples. The aims of the study were to find risk factors for suicide that are robust to intercorrelation, and which were based on a large and unbiased sample.
methodsUsing a training set of 5854 suicides and 596,416 control cases, we fit a logistic regression model and then evaluate the performance on a test set of 1425 suicides and 594,893 control cases. The data used was micro-data of Statistics Netherlands (CBS) with data on each inhabitant of the Netherlands.
resultsTaking the effect of possible correlating risk factors into account, those with a higher risk for suicide are men, middle-aged people, people with low income, those living alone, the unemployed, and those with mental or physical health problems. People with a lower risk are the highly educated, those with a non-western immigration background, and those living with a partner.
conclusionWe confirmed previously known risk factors such as male gender, middle-age, and low income and found that they are risk factors that are robust to intercorrelation. We found that debt and urbanicity were mostly insignificant and found that the regional differences found in raw frequencies are mostly explained away after correction of correlating risk factors, indicating that these differences were primarily caused due to the differences in the demographic makeup of the regions. We found an AUC of 0.77, which is high for a model predicting suicide death and comparable to the performance of deep learning models but with the benefit of remaining explainable.
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