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Robustness and findings of a web-based system for depression assessment in a university work context

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Robustness and findings of a web-based system for depression assessment in a university work context

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dc.contributor.author Asensio-Cuesta, Sabina es_ES
dc.contributor.author Bresó, Adrián es_ES
dc.contributor.author Sáez Silvestre, Carlos es_ES
dc.contributor.author Garcia-Gomez, Juan M es_ES
dc.date.accessioned 2020-12-23T04:31:58Z
dc.date.available 2020-12-23T04:31:58Z
dc.date.issued 2019-02-02 es_ES
dc.identifier.issn 1660-4601 es_ES
dc.identifier.uri http://hdl.handle.net/10251/157772
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship Funding for this study was provided by the authors' various departments, and partially by the CrowdHealth Project (Collective Wisdom Driving Public Health Policies [727560]), the MTS4up project (DPI2016-80054-R) and patient-centered pathways of early palliative care, supportive ecosystems and appraisal standard (825750). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof International Journal of Environmental research and Public Health es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Depression es_ES
dc.subject Web-based es_ES
dc.subject Assessment es_ES
dc.subject BDI-II es_ES
dc.subject University es_ES
dc.subject Workers es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.title Robustness and findings of a web-based system for depression assessment in a university work context es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/ijerph16040644 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/727560/EU/Collective wisdom driving public health policies/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2016-80054-R/ES/BIOMARCADORES DINAMICOS BASADOS EN FIRMAS TISULARES MULTIPARAMETRICAS PARA EL SEGUIMIENTO Y EVALUACION DE LA RESPUESTA A TRATAMIENTO DE PACIENTES CON GLIOBLASTOMA Y CANCER DE/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/825750/EU/Patient-centred pathways of early palliative care, supportive ecosystems and appraisal standard/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria es_ES
dc.description.bibliographicCitation Asensio-Cuesta, S.; Bresó, A.; Sáez Silvestre, C.; Garcia-Gomez, JM. (2019). Robustness and findings of a web-based system for depression assessment in a university work context. International Journal of Environmental research and Public Health. 16(4):1-17. https://doi.org/10.3390/ijerph16040644 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/ijerph16040644 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 17 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 16 es_ES
dc.description.issue 4 es_ES
dc.identifier.pmid 30795622 es_ES
dc.identifier.pmcid PMC6406358 es_ES
dc.relation.pasarela S\378151 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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