Bruinsma Bastiaan, Plas Xandra, Vermetten Eric, Geuze Elbert
Department of Psychiatry, University Medical Centre Utrecht, Utrecht, the Netherlands.
Brain Research and Innovation Centre, Ministry of Defence, Utrecht, the Netherlands.
Sleep. 2025 Jul 24. doi: 10.1093/sleep/zsaf204.
Insomnia is a common sleeping disorder in military personnel and is linked to the development and maintenance of other mental health symptoms. How insomnia symptoms develop long-term, up to 10 years following deployment and what pre-deployment risk factors underpin this development is not yet clear.
A cohort of Dutch military personnel (n = 846, PRISMO cohort) deployed to Afghanistan was studied from pre-deployment to 10-years post-deployment. Longitudinal trajectories of insomnia symptoms were explored with a Latent Class Growth Analysis (LCGA). Both linear and nonlinear predictive modelling were performed to assess which pre-deployment demographic, psychological and biological variables predicted insomnia symptoms.
We identified five trajectories of insomnia symptoms in military personnel from pre- to 10 years post-deployment: resilient sleepers (44%), recovery from pre-deployment insomnia (15%), insomnia symptoms, minor decrease following deployment (22%), minor increase (8%) and incident insomnia since deployment (11%). These groups did not differ in demographic variables. Both linear and nonlinear models could distinguish trajectories with post-deployment insomnia symptoms from resilient sleepers based on pre-deployment variables with hyperarousal as top predictor.
Our findings demonstrate that insomnia symptoms among military personnel are mainly affected by deployment and stable over a 10-year period post-deployment. Predictive modeling can help identify vulnerable subpopulations, though additional measurements might improve accuracy. Early interventions may prevent chronicity of the symptoms and the development of other mental health symptoms.
失眠是军人中常见的睡眠障碍,与其他心理健康症状的发生和维持有关。目前尚不清楚失眠症状在长期(直至部署后10年)如何发展,以及哪些部署前风险因素是这种发展的基础。
对一组部署到阿富汗的荷兰军人(n = 846,PRISMO队列)进行了从部署前到部署后10年的研究。采用潜在类别增长分析(LCGA)探索失眠症状的纵向轨迹。进行了线性和非线性预测建模,以评估哪些部署前的人口统计学、心理和生物学变量可预测失眠症状。
我们确定了军人从部署前到部署后10年失眠症状的五种轨迹:睡眠恢复能力强的人(44%)、从部署前失眠中恢复(15%)、失眠症状,部署后略有减轻(22%)、略有增加(8%)以及自部署以来出现的失眠(11%)。这些组在人口统计学变量上没有差异。线性和非线性模型都可以根据部署前的变量(以过度觉醒为首要预测因素)将有部署后失眠症状的轨迹与睡眠恢复能力强的人区分开来。
我们的研究结果表明,军人中的失眠症状主要受部署影响,且在部署后10年内保持稳定。预测建模有助于识别易患亚群,不过额外的测量可能会提高准确性。早期干预可能会预防症状的慢性化以及其他心理健康症状的发展。