Salcedo-Callado Tonathiu, Hernández-Llanes Norberto, Sánchez-Domínguez Ricardo, Saracco-Alvarez Ricardo, Marín-Navarrete Rodrigo
Departamento de Investigación Psicosocial y Documental, Centros de Integración Juvenil, A.C., Mexico City, Mexico.
Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría, Mexico City, Mexico.
Front Psychol. 2025 Apr 15;16:1562016. doi: 10.3389/fpsyg.2025.1562016. eCollection 2025.
Identifying factors associated with depression is crucial to addressing the global rise in mental health needs. The Beck Depression Inventory II (BDI-II) has shown robustness in assessing depression, even in digital contexts. However, psychometric evidence is essential to support its use in online self-diagnosis, particularly in regions where it has not been widely employed for this purpose.
This study aimed to evaluate the psychometric properties of the BDI-II for online self-diagnosis among Mexican adults.
Data from 58,456 medical records were analysed using Item Response Theory (IRT).
A good fit was found for a hierarchical confirmatory model with 1 s-order factor (overall severity) and two first-order factors (cognitive and somatic symptoms), as well as optimal accuracy estimates in both the IRT and the Classical Test Theory (CTT).
These findings support the use of the BDI-II as a reliable online screening tool for depression in self-diagnosis settings for Mexican adults.
识别与抑郁症相关的因素对于应对全球心理健康需求的增长至关重要。贝克抑郁量表第二版（BDI-II）在评估抑郁症方面表现出稳健性，即使在数字环境中也是如此。然而，心理测量学证据对于支持其在在线自我诊断中的使用至关重要，特别是在尚未广泛用于此目的的地区。
本研究旨在评估BDI-II在墨西哥成年人在线自我诊断中的心理测量特性。
使用项目反应理论（IRT）分析了58456份病历数据。
发现一个具有一阶因子（总体严重程度）和两个一阶因子（认知和躯体症状）的分层验证模型拟合良好，并且在IRT和经典测试理论（CTT）中都有最佳准确性估计。
这些发现支持将BDI-II用作墨西哥成年人自我诊断环境中抑郁症的可靠在线筛查工具。
