Determination of depression risk factors in children and adolescents by regression tree methodology

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dc.contributor.authorÇamdeviren, Handan
dc.contributor.authorMendeş, Mehmet
dc.contributor.authorÖzkan, M. Muhip
dc.contributor.authorToros, Fevziye
dc.contributor.authorŞaşmaz, Tayyar
dc.contributor.authorÖner, Seva
dc.date.accessioned2025-01-27T19:02:54Z
dc.date.available2025-01-27T19:02:54Z
dc.date.issued2005
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractWe used a regression tree method (RTM) to determine risks of depression in children/adolescents. The survey records of 4,143 children/adolescents in a study based in Mersin, Turkey served as data in this study, and multi-step, stratified, and cluster sampling were used. Effects of 24 variables (sex, smoking, parental problems, etc.) were evaluated on depression scores. The Child Beck Depression Inventory (CBDI) was used to determine the level of depression. Subjects were into 12 different groups based on magnitudes of mean depression scores. The interactions among 7 variables determined to be risk factors are shown on a schema. The STATISTICA (ver.6.0) package program was used for all computations. Although traditional statistical methods have often been used for analysis in this field, such approaches are associated with certain disadvantages such as missing values, ignorance of interaction effects, or restriction of the shape of the distribution. To avoid such disadvantages, we therefore suggest the use of the RTM in studies involving numerical-based outcome variables and for the investigation of a large number of variables and it may be more effective than traditional statistical methods in epidemiological studies which determine risk factors. Copyright© 2005 by Okayama University Medical School.
dc.identifier.endpage26
dc.identifier.issn0386-300X
dc.identifier.issue1
dc.identifier.pmid15902995
dc.identifier.scopus2-s2.0-16244403324
dc.identifier.scopusqualityQ3
dc.identifier.startpage19
dc.identifier.urihttps://hdl.handle.net/20.500.12428/13716
dc.identifier.volume59
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.relation.ispartofActa Medica Okayama
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectBeck depression inventory; Children and adolescents; Classification and regression trees; Cross-validation; Diagnostic models
dc.titleDetermination of depression risk factors in children and adolescents by regression tree methodology
dc.typeArticle

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