Milou Looijmans, Paula von Spreckelsen, Guus Berkelmans, Arne Popma, Diana van Bergen, Renske Gilissen, Saskia Mérelle
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Univariate logistic regression was used to test the predictive value of risk factors separately (anxiety and depression, gender, age and school year) on SI and SA. In addition, a machine learning model (Berkelmans et al., 2023) was used for high-risk identification of combined risk factors (multivariate models).</p><p><strong>Results: </strong>Within vocational students, 12-month SI and SA prevalence increased from respectively 17.7% and 2.3% in schoolyear 2013-2014 to 23% and 3.2% in 2022-2023. Although female gender significantly predicted SI and SA in the univariate analyses, the multivariate models revealed that female gender decreased the likelihood of both SI (OR 0.9) and SA (OR 0.7). 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引用次数: 0
摘要
背景:在世界范围内,自杀是导致青少年和年轻人死亡的主要原因之一。鉴于这一年龄组的自杀现象在职业教育学生中很常见,本研究旨在深入了解过去 10 年中职业教育学生自杀意念(SI)和自杀未遂(SA)的发生率、过程和风险因素:本研究采用重复横断面设计,利用荷兰 "Testjeleefstijl "基金会("测试你的生活方式")提供的 2013 年至 2023 年的数据。共有 101,182 名职业教育学生填写了一份基于网络的标准化问卷。采用单变量逻辑回归法分别检验了风险因素(焦虑和抑郁、性别、年龄和学年)对 SI 和 SA 的预测价值。此外,还使用机器学习模型(Berkelmans 等人,2023 年)对综合风险因素(多变量模型)进行高风险识别:在职业院校学生中,12个月的SI和SA患病率分别从2013-2014学年的17.7%和2.3%增至2022-2023学年的23%和3.2%。虽然在单变量分析中,女性性别对SI和SA有明显的预测作用,但多变量模型显示,女性性别降低了SI(OR 0.9)和SA(OR 0.7)的可能性。在多变量模型中,焦虑和抑郁的高风险是 SI(OR 42.8)和 SA(OR 19.0)的最强预测因素:在过去十年中,职业教育学生的 SI 和 SA 患病率有所上升,而焦虑和抑郁风险是最主要的诱因。虽然女性患焦虑症和抑郁症的比例较高,但研究结果表明,这些情况往往会更快地导致男性学生出现 SI 和 SA。预防自杀的早期干预至关重要,这突出了识别和解决焦虑和抑郁问题的必要性。职业教育学校在这方面可以发挥关键作用,强调早期筛查和干预,并特别关注性别特定因素。
The prevalence, course, and risk factors of suicidal ideation and suicide attempts among students in vocational education.
Background: Worldwide, suicide is one of the leading causes of death among adolescents and young adults. Given that suicide in this age group is common within vocational students, this study aims to provide insights into the prevalence, course, and risk factors of suicidal ideation (SI) and suicide attempts (SA) among students in vocational education over the past 10 years.
Methods: This study has a repeated cross-sectional design, utilizing data from 2013 to 2023 provided by the 'Testjeleefstijl' foundation in the Netherlands ('Test Your Lifestyle'). In total, 101,182 students in vocational education completed a web-based standardized questionnaire. Univariate logistic regression was used to test the predictive value of risk factors separately (anxiety and depression, gender, age and school year) on SI and SA. In addition, a machine learning model (Berkelmans et al., 2023) was used for high-risk identification of combined risk factors (multivariate models).
Results: Within vocational students, 12-month SI and SA prevalence increased from respectively 17.7% and 2.3% in schoolyear 2013-2014 to 23% and 3.2% in 2022-2023. Although female gender significantly predicted SI and SA in the univariate analyses, the multivariate models revealed that female gender decreased the likelihood of both SI (OR 0.9) and SA (OR 0.7). A high risk for anxiety and depression was the strongest predictor in the multivariate models for SI (OR 42.8) and SA (OR 19.0).
Conclusion: Over the past decade, the prevalence of SI and SA increased in students in vocational education, with the risk of anxiety and depression being the strongest contributing factor. While females had a higher prevalence of anxiety and depression, the results suggest these conditions tend to lead to SI and SA more quickly among male students. Early intervention in suicide prevention is crucial, highlighting the need to identify and address anxiety and depression. Vocational education schools have a critical role in this, emphasizing early screening and intervention, with specific attention to gender-specific factors.
期刊介绍:
Child and Adolescent Psychiatry and Mental Health, the official journal of the International Association for Child and Adolescent Psychiatry and Allied Professions, is an open access, online journal that provides an international platform for rapid and comprehensive scientific communication on child and adolescent mental health across different cultural backgrounds. CAPMH serves as a scientifically rigorous and broadly open forum for both interdisciplinary and cross-cultural exchange of research information, involving psychiatrists, paediatricians, psychologists, neuroscientists, and allied disciplines. The journal focusses on improving the knowledge base for the diagnosis, prognosis and treatment of mental health conditions in children and adolescents, and aims to integrate basic science, clinical research and the practical implementation of research findings. In addition, aspects which are still underrepresented in the traditional journals such as neurobiology and neuropsychology of psychiatric disorders in childhood and adolescence are considered.