IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population
IntroductionIdentifying 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...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1562016/full |
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| author | Tonathiu Salcedo-Callado Norberto Hernández-Llanes Ricardo Sánchez-Domínguez Ricardo Saracco-Alvarez Rodrigo Marín-Navarrete |
| author_facet | Tonathiu Salcedo-Callado Norberto Hernández-Llanes Ricardo Sánchez-Domínguez Ricardo Saracco-Alvarez Rodrigo Marín-Navarrete |
| author_sort | Tonathiu Salcedo-Callado |
| collection | DOAJ |
| description | IntroductionIdentifying 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.ObjectiveThis study aimed to evaluate the psychometric properties of the BDI-II for online self-diagnosis among Mexican adults.MethodData from 58,456 medical records were analysed using Item Response Theory (IRT).ResultsA 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).DiscussionThese findings support the use of the BDI-II as a reliable online screening tool for depression in self-diagnosis settings for Mexican adults. |
| format | Article |
| id | doaj-art-3ff82ee7cb7c44d89f6f46c282af5b4c |
| institution | DOAJ |
| issn | 1664-1078 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj-art-3ff82ee7cb7c44d89f6f46c282af5b4c2025-08-20T03:08:29ZengFrontiers Media S.A.Frontiers in Psychology1664-10782025-04-011610.3389/fpsyg.2025.15620161562016IRT analysis of the BDI-II for early online depression detection: validation in a Mexican populationTonathiu Salcedo-Callado0Norberto Hernández-Llanes1Ricardo Sánchez-Domínguez2Ricardo Saracco-Alvarez3Rodrigo Marín-Navarrete4Departamento de Investigación Psicosocial y Documental, Centros de Integración Juvenil, A.C., Mexico City, MexicoDepartamento de Investigación Psicosocial y Documental, Centros de Integración Juvenil, A.C., Mexico City, MexicoDepartamento de Investigación Psicosocial y Documental, Centros de Integración Juvenil, A.C., Mexico City, MexicoSubdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría, Mexico City, MexicoDirección de Investigación y Enseñanza, Centros de Integración Juvenil, A.C., Mexico City, MexicoIntroductionIdentifying 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.ObjectiveThis study aimed to evaluate the psychometric properties of the BDI-II for online self-diagnosis among Mexican adults.MethodData from 58,456 medical records were analysed using Item Response Theory (IRT).ResultsA 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).DiscussionThese findings support the use of the BDI-II as a reliable online screening tool for depression in self-diagnosis settings for Mexican adults.https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1562016/fullvalidation studyaffective disordersself-assessmentshealth serviceseHealth |
| spellingShingle | Tonathiu Salcedo-Callado Norberto Hernández-Llanes Ricardo Sánchez-Domínguez Ricardo Saracco-Alvarez Rodrigo Marín-Navarrete IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population Frontiers in Psychology validation study affective disorders self-assessments health services eHealth |
| title | IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population |
| title_full | IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population |
| title_fullStr | IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population |
| title_full_unstemmed | IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population |
| title_short | IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population |
| title_sort | irt analysis of the bdi ii for early online depression detection validation in a mexican population |
| topic | validation study affective disorders self-assessments health services eHealth |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1562016/full |
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