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Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context

Depression is associated with absenteeism and presentism, problems in workplace relationships and loss of productivity and quality. The present work describes the validation of a web-based system for the assessment of depression in the university work context. The basis of the system is the Spanish...

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Autores principales: Asensio-Cuesta, Sabina, Bresó, Adrián, Saez, Carlos, García-Gómez, Juan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406358/
https://www.ncbi.nlm.nih.gov/pubmed/30795622
http://dx.doi.org/10.3390/ijerph16040644
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author Asensio-Cuesta, Sabina
Bresó, Adrián
Saez, Carlos
García-Gómez, Juan M.
author_facet Asensio-Cuesta, Sabina
Bresó, Adrián
Saez, Carlos
García-Gómez, Juan M.
author_sort Asensio-Cuesta, Sabina
collection PubMed
description Depression is associated with absenteeism and presentism, problems in workplace relationships and loss of productivity and quality. The present work describes the validation of a web-based system for the assessment of depression in the university work context. The basis of the system is the Spanish version of the Beck Depression Inventory (BDI-II). A total of 185 participants completed the BDI-II web-based assessment, including 88 males and 97 females, 70 faculty members and 115 staff members. A high level of internal consistency reliability was confirmed. Based on the results of our web-based BDI-II, no significant differences were found in depression severity between gender, age or workers’ groups. The main depression risk factors reported were: “Changes in sleep”, “Loss of energy”, “Tiredness or fatigue” and “Loss of interest”. However significant differences were found by gender in “Changes in appetite”, “Difficulty of concentration” and “Loss of interest in sex”; males expressed less loss of interest in sex than females with a statistically significant difference. Our results indicate that the data collected is coherent with previous BDI-II studies. We conclude that the web-based system based on the BDI-II is psychometrically robust and can be used to assess depression in the university working community.
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spelling pubmed-64063582019-03-21 Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context Asensio-Cuesta, Sabina Bresó, Adrián Saez, Carlos García-Gómez, Juan M. Int J Environ Res Public Health Article Depression is associated with absenteeism and presentism, problems in workplace relationships and loss of productivity and quality. The present work describes the validation of a web-based system for the assessment of depression in the university work context. The basis of the system is the Spanish version of the Beck Depression Inventory (BDI-II). A total of 185 participants completed the BDI-II web-based assessment, including 88 males and 97 females, 70 faculty members and 115 staff members. A high level of internal consistency reliability was confirmed. Based on the results of our web-based BDI-II, no significant differences were found in depression severity between gender, age or workers’ groups. The main depression risk factors reported were: “Changes in sleep”, “Loss of energy”, “Tiredness or fatigue” and “Loss of interest”. However significant differences were found by gender in “Changes in appetite”, “Difficulty of concentration” and “Loss of interest in sex”; males expressed less loss of interest in sex than females with a statistically significant difference. Our results indicate that the data collected is coherent with previous BDI-II studies. We conclude that the web-based system based on the BDI-II is psychometrically robust and can be used to assess depression in the university working community. MDPI 2019-02-21 2019-02 /pmc/articles/PMC6406358/ /pubmed/30795622 http://dx.doi.org/10.3390/ijerph16040644 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Asensio-Cuesta, Sabina
Bresó, Adrián
Saez, Carlos
García-Gómez, Juan M.
Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context
title Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context
title_full Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context
title_fullStr Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context
title_full_unstemmed Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context
title_short Robustness and Findings of a Web-Based System for Depression Assessment in a University Work Context
title_sort robustness and findings of a web-based system for depression assessment in a university work context
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406358/
https://www.ncbi.nlm.nih.gov/pubmed/30795622
http://dx.doi.org/10.3390/ijerph16040644
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