Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study

Abstract Identifying 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 vers...

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Autores principales:	Hamid Reza Marateb, Zahra Tasdighi, Mohammad Reza Mohebian, Azam Naghavi, Moritz Hess, Mohammad Esmaiel Motlagh, Ramin Heshmat, Marjan Mansourian, Miguel Angel Mañanas, Harald Binder, Roya Kelishadi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7fbe868b93804157add35866e7723a99
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spelling	oai:doaj.org-article:7fbe868b93804157add35866e7723a992021-12-02T14:53:41ZClassification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study10.1038/s41598-021-95208-y2045-2322https://doaj.org/article/7fbe868b93804157add35866e7723a992021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95208-yhttps://doaj.org/toc/2045-2322Abstract Identifying 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.Hamid Reza MaratebZahra TasdighiMohammad Reza MohebianAzam NaghaviMoritz HessMohammad Esmaiel MotlaghRamin HeshmatMarjan MansourianMiguel Angel MañanasHarald BinderRoya KelishadiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hamid Reza Marateb Zahra Tasdighi Mohammad Reza Mohebian Azam Naghavi Moritz Hess Mohammad Esmaiel Motlagh Ramin Heshmat Marjan Mansourian Miguel Angel Mañanas Harald Binder Roya Kelishadi Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study
description	Abstract Identifying 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.
format	article
author	Hamid Reza Marateb Zahra Tasdighi Mohammad Reza Mohebian Azam Naghavi Moritz Hess Mohammad Esmaiel Motlagh Ramin Heshmat Marjan Mansourian Miguel Angel Mañanas Harald Binder Roya Kelishadi
author_facet	Hamid Reza Marateb Zahra Tasdighi Mohammad Reza Mohebian Azam Naghavi Moritz Hess Mohammad Esmaiel Motlagh Ramin Heshmat Marjan Mansourian Miguel Angel Mañanas Harald Binder Roya Kelishadi
author_sort	Hamid Reza Marateb
title	Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study
title_short	Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study
title_full	Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study
title_fullStr	Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study
title_full_unstemmed	Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study
title_sort	classification of psychiatric symptoms using deep interaction networks: the caspian-iv study
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7fbe868b93804157add35866e7723a99
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Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study

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