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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.
Portillo-Van Diest, Ana; 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; Roldan, Lorenzo; Ruiz-Palomino, Estefanía; Soto-Sanz, Victoria; Alonso, Jordi.
Afiliação
  • Portillo-Van Diest A; Health Services Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona, Spain.
  • Ballester Coma L; CIBERESP, Madrid, Comunidad de Madrid, Spain.
  • Mortier P; Health Services Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona, Spain.
  • Vilagut G; CIBERESP, Madrid, Comunidad de Madrid, Spain.
  • Amigo F; Health Services Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona, Spain pmortier@imim.es gvilagut@imim.es.
  • Puértolas Gracia B; CIBERESP, Madrid, Comunidad de Madrid, Spain.
  • García-Mieres H; Health Services Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona, Spain pmortier@imim.es gvilagut@imim.es.
  • Alayo I; CIBERESP, Madrid, Comunidad de Madrid, Spain.
  • Blasco MJ; Health Services Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona, Spain.
  • Carrasco Espi P; CIBERESP, Madrid, Comunidad de Madrid, Spain.
  • Falcó R; Health Services Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona, Spain.
  • Forteza-Rey I; CIBERESP, Madrid, Comunidad de Madrid, Spain.
  • Garcia-Pazo P; Health Services Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona, Spain.
  • Gili M; CIBERESP, Madrid, Comunidad de Madrid, Spain.
  • Giménez-García C; Health Services Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona, Spain.
  • Machancoses FH; Kronikgune, Baracaldo, Euskadi, Spain.
  • Marzo Campos JC; Hospital Provincial Castellon, Castellon de la Plana, Valenciana, Spain.
  • Navarra-Ventura G; Department of Medicine, Universitat Jaume I, Castello de la Plana, Spain.
  • Piqueras JA; Environment and Health, FISABIO-University of Valencia-Universitat Jaume I, Valencia, Spain.
  • Rebagliato M; Department of Health Psychology, Miguel Hernandez University of Elche, Elche, Spain.
  • Roca M; IdISBa, Palma de Mallorca, Illes Balears, Spain.
  • Rodriguez Jiménez T; Department of Psychology, Universitat de les Illes Balears, Palma de Mallorca, Illes Balears, Spain.
  • Roldan L; Department of Nursing and Physiotherapy, Universitat de les Illes Balears, Palma de Mallorca, Illes Balears, Spain.
  • Ruiz-Palomino E; Development and Psychopathology, IdISBa, Palma de Mallorca, Illes Balears, Spain.
  • Soto-Sanz V; IdISBa, Palma de Mallorca, Illes Balears, Spain.
  • Alonso J; Department of Psychology, Universitat de les Illes Balears, Palma de Mallorca, Illes Balears, Spain.
BMJ Open ; 13(7): e072641, 2023 07 14.
Article em En | MEDLINE | ID: mdl-37451741
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Mental / Avaliação Momentânea Ecológica Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Mental / Avaliação Momentânea Ecológica Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Espanha