128087 20241125101157.0 doi 10.1136/bmjopen-2023-072641 sideral 134359 ART-2023-134359 eng Portillo-Van Diest, Ana 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 2023 Access copy available to the general public Unrestricted IntroductionThere 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 analysisUndergraduate 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 disseminationThe 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. info:eu-repo/grantAgreement/ES/ISCIII/CD18-00049 info:eu-repo/grantAgreement/ES/ISCIII/CP21-00078 info:eu-repo/grantAgreement/ES/ISCIII/PI20-00006 info:eu-repo/semantics/openAccess by-nc http://creativecommons.org/licenses/by-nc/3.0/es/ 2.4 2023 MEDICINE, GENERAL & INTERNAL 81 / 329 = 0.246 2023 Q1 T1 0.971 2023 Medicine (miscellaneous) 2023 Q1 4.4 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ballester Coma, Laura Mortier, Philippe Vilagut, Gemma Amigo, Franco Puértolas Gracia, Beatriz García-Mieres, Helena Alayo, Itxaso Blasco, Maria Jesus Carrasco Espi, Paula Falcó, Raquel Forteza-Rey, Ines Garcia-Pazo, Patricia Gili, Margalida Giménez-García, Cristina Machancoses, Francisco H Marzo Campos, Juan Carlos Navarra-Ventura, Guillem Piqueras, Jose A Rebagliato, Marisa Roca, Miquel Rodriguez Jiménez, Tiscar Universidad de Zaragoza Roldan, Lorenzo Ruiz-Palomino, Estefanía Soto-Sanz, Victoria Alonso, Jordi 4009 680 Universidad de Zaragoza Dpto. Psicología y Sociología Área Person.Eval.Trat.Psicoló. 13, 7 (2023), e072641 [9 pp] BMJ Open BMJ Open 2044-6055 1662381 http://zaguan.unizar.es/record/128087/files/texto_completo.pdf Versión publicada 3260398 http://zaguan.unizar.es/record/128087/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:128087 articulos driver 2024-11-22-12:09:57 ARTICLE