Experience sampling methods for the personalised prediction of mental health problems in Spanish university students: protocol for a survey-based observational study within the PROMES-U project

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• dc.contributor.author Portillo-Van Diest, Ana
• dc.contributor.author Ballester Coma, Laura
• dc.contributor.author Mortier, Philippe
• dc.contributor.author Vilagut Saiz, Gemma, 1975-
• dc.contributor.author Amigo, Franco
• dc.contributor.author Puértolas Gracia, Beatriz
• dc.contributor.author García-Mieres, Helena
• dc.contributor.author Alayo, Itxaso
• dc.contributor.author Alonso Caballero, Jordi
• dc.date.accessioned 2023-09-29T07:33:35Z
• dc.date.available 2023-09-29T07:33:35Z
• dc.date.issued 2023
• dc.description.abstract Introduction: There is a high prevalence of mental health problems among university students. Better prediction and treatment access for this population is needed. In recent years, short-term dynamic factors, which can be assessed using experience sampling methods (ESM), have presented promising results for predicting mental health problems. Methods and analysis: Undergraduate students from five public universities in Spain are recruited to participate in two web-based surveys (at baseline and at 12-month follow-up). A subgroup of baseline participants is recruited through quota sampling to participate in a 15-day ESM study. The baseline survey collects information regarding distal risk factors, while the ESM study collects short-term dynamic factors such as affect, company or environment. Risk factors will be identified at an individual and population level using logistic regressions and population attributable risk proportions, respectively. Machine learning techniques will be used to develop predictive models for mental health problems. Dynamic structural equation modelling and multilevel mixed-effects models will be considered to develop a series of explanatory models for the occurrence of mental health problems. Ethics and dissemination: The project complies with national and international regulations, including the Declaration of Helsinki and the Code of Ethics, and has been approved by the IRB Parc de Salut Mar (2020/9198/I) and corresponding IRBs of all participating universities. All respondents are given information regarding access mental health services within their university and region. Individuals with positive responses on suicide items receive a specific alert with indications for consulting with a health professional. Participants are asked to provide informed consent separately for the web-based surveys and for the ESM study. Dissemination of results will include peer-reviewed scientific articles and participation in scientific congresses, reports with recommendations for universities' mental health policy makers, as well as a well-balanced communication strategy to the general public. Study registration: osf.io/p7csq.
• dc.format.mimetype application/pdf
• dc.identifier.citation Portillo-Van Diest A, Ballester Coma L, Mortier P, Vilagut G, Amigo F, Puértolas Gracia B, et al. Experience sampling methods for the personalised prediction of mental health problems in Spanish university students: protocol for a survey-based observational study within the PROMES-U project. BMJ Open. 2023 Jul 14;13(7):e072641. DOI: 10.1136/bmjopen-2023-072641
• dc.identifier.doi http://dx.doi.org/10.1136/bmjopen-2023-072641
• dc.identifier.issn 2044-6055
• dc.identifier.uri http://hdl.handle.net/10230/57994
• dc.language.iso eng
• dc.publisher BMJ Publishing Group
• dc.relation.ispartof BMJ Open. 2023 Jul 14;13(7):e072641
• dc.rights © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
• dc.subject.keyword Epidemiologic studies
• dc.subject.keyword Mental health
• dc.subject.keyword Public health
• dc.title Experience sampling methods for the personalised prediction of mental health problems in Spanish university students: protocol for a survey-based observational study within the PROMES-U project
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion