Castro-Osorio Rubby, Maldonado-Avendaño Natalia, Cardona-Gómez Pilar
Facultad de Psicología, Universidad El Bosque, Bogotá, Colombia.
Facultad de Psicología, Universidad El Bosque, Bogotá, Colombia.
Rev Colomb Psiquiatr (Engl Ed). 2020 Nov 9;51(1):17-24. doi: 10.1016/j.rcp.2020.09.001.
Suicidal behaviour is a global public health problem, and one population group with high prevalence rates is medical students, especially in the ideation component. Various models have tried to explain it, but there are few inferential studies in the Colombian population. The structural equation models used in controlled social sciences to explain this problem and their analytical power allow generalisations to be made with a certain degree of precision. These analyses require a large amount of data for robust estimation, which limits their usability when there are restrictions to access the data, as is the case today due to Covid-19, and a question that stands out in these models is the evaluation of the fit. Through a set of 1,200 simulated data, an appropriate model fit was found (x=1.732,300;p<0,001, CFI = 0.97, GFI = 0.97, TLI = 0.97, RMSEA = 0.04[0.042-0.046], SRMR = 0.06) for the predictors of depression and perceived burdensomeness, which were analysed using the JASP program. The role of thwarted belongingness is discussed, as well as the appropriateness of the assessment instrument used to evaluate it an considerations regarding suicidal ideation monitoring, evaluation and intervention in medical students.
自杀行为是一个全球性的公共卫生问题，其中医学生这一群体的自杀行为发生率较高，尤其是在自杀观念方面。已有多种模型试图对此进行解释，但针对哥伦比亚人群的推断性研究却很少。在社会科学研究中用于解释这一问题的结构方程模型及其分析能力，使得我们能够在一定程度上进行精确的概括。这些分析需要大量数据以进行稳健估计，这限制了它们在获取数据受限的情况下的可用性，就像当前由于新冠疫情所面临的情况一样。并且在这些模型中一个突出的问题是拟合度的评估。通过一组1200个模拟数据，我们发现抑郁和感知负担过重的预测因素具有合适的模型拟合度（卡方值=1732.300；p<0.001，比较拟合指数CFI = 0.97，拟合优度指数GFI = 0.97，塔克-刘易斯指数TLI = 0.97，近似误差均方根RMSEA = 0.04[0.042 - 0.046]，标准残差均方根SRMR = 0.06），这些数据是使用JASP程序进行分析的。文中讨论了挫败归属感的作用，以及用于评估它的评估工具的适用性，同时还探讨了关于医学生自杀观念监测、评估和干预的相关考虑因素。
