BackgroundThere is a solid relationship between alexithymia and suicide risk. Nonetheless, the specific impact of alexithymia's distinct subscales on suicide risk has received the attention it deserves. This article presents a comprehensive exploration of suicide risk among university students, focusing on the interconnections among alexithymia, insomnia, and suicidal behavior. Three components of alexithymia including difficulties in describing emotions or feelings (DDF), difficulties in identifying emotions or feelings (DIF), and the externally oriented thinking were considered.MethodsThe study involved 208 participants from a Persian university sample, examining the significance of incorporating both alexithymia and insomnia in suicide risk assessment and intervention planning. Insomnia was positioned as a pivotal mediator. A secure electronic link in the Telegram application was employed to collect the data. Both linear and nonlinear prediction models were used to explore potential associations among alexithymia, insomnia, and suicide risk.ResultsThe study revealed substantial positive correlations between alexithymia and suicide risk, as well as between insomnia and suicide risk. Additionally, specific components of alexithymia exhibited noteworthy links to suicide risk. The inclusion of insomnia scores in suicide risk predictions is critical, as it greatly enhances the precision of risk assessments and facilitates the design of targeted and effective therapeutic interventions. The association between alexithymia and suicide risk showed a significant relationship (r = .29, p < .01). Moreover, a significant correlation was observed between alexithymia and insomnia (r = .32, p < .01). Additionally, insomnia exhibited a significant positive correlation with suicide (r = .35, p < .01). Interestingly, DDF and DIF showed positive correlations with suicide (r = .28, p < .01; r = .33, p < .01).ConclusionThe findings carry profound implications for suicide prevention efforts, providing valuable insights to safeguard the well‐being and resilience of university students facing suicide risk challenges.

中文翻译：

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超越不眠之夜：揭示大学生述情障碍和自杀风险的复杂性

背景述情障碍和自杀风险之间存在密切的关系。尽管如此，述情障碍的不同分量表对自杀风险的具体影响已经受到了应有的关注。本文对大学生自杀风险进行了全面探讨，重点关注述情障碍、失眠和自杀行为之间的相互关系。述情障碍的三个组成部分被考虑在内，包括描述情绪或感觉的困难 (DDF)、识别情绪或感觉的困难 (DIF) 以及外向思维。 方法 这项研究涉及来自波斯大学样本的 208 名参与者，检验了将这两种因素结合起来的重要性自杀风险评估和干预计划中的述情障碍和失眠。失眠被定位为关键的中介因素。 Telegram 应用程序中的安全电子链接被用来收集数据。使用线性和非线性预测模型来探索述情障碍、失眠和自杀风险之间的潜在关联。结果研究显示述情障碍和自杀风险之间以及失眠和自杀风险之间存在显着的正相关性。此外，述情障碍的特定组成部分与自杀风险存在显着的联系。将失眠评分纳入自杀风险预测至关重要，因为它大大提高了风险评估的准确性，并有助于设计有针对性的有效治疗干预措施。述情障碍与自杀风险之间的关联显示出显着的关系（r= .29,p< .01)。此外，还观察到述情障碍和失眠之间存在显着相关性（r= .32,p< .01)。此外，失眠与自杀呈显着正相关（r= .35,p< .01)。有趣的是，DDF 和 DIF 与自杀呈正相关（r= .28,p< .01；r= .33,p< .01).结论研究结果对自杀预防工作具有深远的影响，为保障面临自杀风险挑战的大学生的福祉和复原力提供了宝贵的见解。