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dc.contributor.authorMarateb, Hamid Reza
dc.contributor.authorTasdighi, Zahra
dc.contributor.authorMohebian, Mohammad Reza
dc.contributor.authorNaghavi, Azam
dc.contributor.authorHess, Moritz
dc.contributor.authorMotlagh, Mohammad Esmaeil
dc.contributor.authorHeshmat, Ramin
dc.contributor.authorMansourian Gharakozlou, Marjan
dc.contributor.authorMañanas Villanueva, Miguel Ángel
dc.contributor.authorBinder, Harald
dc.contributor.authorKelishadi, Roya
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2021-09-20T10:25:58Z
dc.date.available2021-09-20T10:25:58Z
dc.date.issued2021-12-01
dc.identifier.citationMarateb, H.R. [et al.]. Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study. "Scientific reports", 1 Desembre 2021, vol. 11, p. 15706:1-15706:15.
dc.identifier.issn2045-2322
dc.identifier.otherhttps://freidok.uni-freiburg.de/fedora/objects/freidok:220108/datastreams/FILE1/content
dc.identifier.urihttp://hdl.handle.net/2117/351686
dc.description.abstractIdentifying the possible factors of psychiatric symptoms among children can reduce the risk of adverse psychosocial outcomes in adulthood. We designed a classification tool to examine the association between modifiable risk factors and psychiatric symptoms, defined based on the Persian version of the WHO-GSHS questionnaire in a developing country. Ten thousand three hundred fifty students, aged 6–18 years from all Iran provinces, participated in this study. We used feature discretization and encoding, stability selection, and regularized group method of data handling (GMDH) to classify the a priori specific factors (e.g., demographic, sleeping-time, life satisfaction, and birth-weight) to psychiatric symptoms. Self-rated health was the most critical feature. The selected modifiable factors were eating breakfast, screentime, salty snack for depression symptom, physical activity, salty snack for worriedness symptom, (abdominal) obesity, sweetened beverage, and sleep-hour for mild-to-moderate emotional symptoms. The area under the ROC curve of the GMDH was 0.75 (CI 95% 0.73–0.76) for the analyzed psychiatric symptoms using threefold cross-validation. It significantly outperformed the state-of-the-art (adjusted p¿<¿0.05; McNemar's test). In this study, the association of psychiatric risk factors and the importance of modifiable nutrition and lifestyle factors were emphasized. However, as a cross-sectional study, no causality can be inferred.
dc.description.sponsorshipThe authors would like to thank the CASPIAN team working on this national project and all students and their families participating in this project. The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 712949 (TECNIOspring PLUS) and from the Agency for Business Competitiveness of the Government of Catalonia (TECSPR18-1-0017).
dc.language.isoeng
dc.publisherNature
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Salut mental::Psiquiatria
dc.subject.lcshClassification
dc.subject.lcshPsychosocial issues
dc.titleClassification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study
dc.typeArticle
dc.subject.lemacPsiquiatria
dc.subject.lemacFactors de risc (Medicina)
dc.subject.lemacClassificació
dc.subject.lemacTrastorns mentals -- Classificació
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOART - BIOsignal Analysis for Rehabilitation and Therapy
dc.identifier.doi10.1038/s41598-021-95208-y
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.nature.com/articles/s41598-021-95208-y
dc.rights.accessOpen Access
local.identifier.drac32032949
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/ACCIÓ/RIS3CAT/TECSPR18-1-0017
local.citation.authorMarateb, H.R.; Tasdighi, Z.; Mohebian, M.; Naghavi, A.; Hess, M.; Motlagh, M.; Heshmat, R.; Mansourian, M.; Mañanas, M.A.; Binder, H.; Kelishadi, R.
local.citation.publicationNameScientific reports
local.citation.volume11
local.citation.startingPage15706:1
local.citation.endingPage15706:15


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