South American Center for Education and Research in Public Health, Universidad Norbert Wiener, Lima 02002, Peru.
Epidemiology Office, Hospital Regional Lambayeque, Chiclayo 14000, Peru.
Int J Environ Res Public Health. 2022 Oct 19;19(20):13502. doi: 10.3390/ijerph192013502.
Military personnel represent a frontline group exposed to multiple stressors. These factors have increased during the COVID-19 pandemic, predisposing to the development of suicidal risk (SR). Given the few studies conducted in this population, we evaluated the prevalence of SR and its associated factors during the health emergency. A cross-sectional survey study was conducted in person among 514 participants in Lambayeque, Peru in 2021. The outcome was SR, and the exposures were depression (PHQ-9), anxiety (GAD-7), PTSD (PCL-C), and other sociodemographic variables. The prevalence of SR was 14.0% (95% CI: 11.12-17.31%) and was significantly higher in people with a family history of mental health (PR: 2.16; 95% CI: 1.13-4.15) and in those with moderate clinical insomnia (PR: 2.21; 95% CI: 1.19-4.12). Military personnel with high resilience had a lower prevalence of SR (PR: 0.54, CI: 0.31-0.95). Anxiety was associated with a higher prevalence of SR (PR: 3.27; 95% CI: 1.76-6.10). Our findings show that at least 1 out of 10 military personnel are at risk of suicide. Special attention should be paid to the associated factors to develop interventions and reverse their consequences. These results may be useful in policy implementation and general statistics of SR in the local and regional context.
军人是暴露于多种应激源的一线群体。这些因素在 COVID-19 大流行期间有所增加,使自杀风险(SR)的发展成为可能。鉴于在该人群中进行的研究较少,我们评估了在卫生紧急情况下 SR 的流行率及其相关因素。2021 年,在秘鲁 Lambayeque 进行了一项 514 名参与者的横断面调查研究。结果是 SR,暴露因素为抑郁(PHQ-9)、焦虑(GAD-7)、创伤后应激障碍(PCL-C)和其他社会人口统计学变量。SR 的患病率为 14.0%(95%CI:11.12-17.31%),有精神健康家族史的人群(PR:2.16;95%CI:1.13-4.15)和中度临床失眠的人群(PR:2.21;95%CI:1.19-4.12)的患病率显著更高。高韧性的军人 SR 患病率较低(PR:0.54,CI:0.31-0.95)。焦虑与更高的 SR 患病率相关(PR:3.27;95%CI:1.76-6.10)。我们的研究结果表明,至少每 10 名军人中就有 1 人有自杀风险。应特别关注相关因素,以制定干预措施并扭转其后果。这些结果可能有助于在地方和区域范围内实施政策和进行一般的 SR 统计。