Differential diagnosis of eating disorders with the use of classification trees (decision algorithm)

2016
journal article
article
5
cris.lastimport.wos2024-04-09T20:50:00Z
dc.abstract.enBackground: The aim of the study was to establish whether it is possible to make a correct diagnosis of various types of eating disorders on the basis of several variables. Method: A group of 213 females, 20 to 26 years of age, took part in the study. 92 women (control group) and 121 women (research group). We used the Eating Disorder Inventory (EDI), the Socio-cultural Attitudes Towards Appearance Questionnaire-3 (SATAQ-3) and a questionnaire of behavior towards the body. A selection of dependent variable predictors of disorder was made and a classification tree was developed. Results: People suffering from eating disorders differ from healthy individuals in the intensity of the variable “pattern for constructing emotional relationships on the basis of lack of trust and certainty in interpersonal relations”. People suffering from various types of eating disorders differ – besides the BMI – on such psychological traits as fear of gaining weight and a restrictive strive to be slim, as well as dissatisfaction with the body. A differential diagnosis in line with a decision algorithm correctly identified healthy individuals in 100% of cases, bulimia in 78.72% of cases, binge eating disorder in 93.33% of cases, and anorexia in 86.36% of cases. Conclusions: Psychological predictors of eating disorders may be arranged in the form of a classification tree. It is possible to make an accurate differential diagnosis of eating disorders on the basis of results of measurements of six variables.pl
dc.affiliationWydział Zarządzania i Komunikacji Społecznej : Instytut Psychologii Stosowanejpl
dc.contributor.authorIzydorczyk, Bernadetta - 365550 pl
dc.contributor.authorWojciechowski, Bartoszpl
dc.date.accession2016-12-06pl
dc.date.accessioned2016-12-16T11:39:55Z
dc.date.available2016-12-16T11:39:55Z
dc.date.issued2016pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. 62pl
dc.description.number4pl
dc.description.physical53-62pl
dc.description.publication0,6pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume18pl
dc.identifier.doi10.12740/APP/66519pl
dc.identifier.eissn2083-828Xpl
dc.identifier.issn1509-2046pl
dc.identifier.projectROD UJ / Ppl
dc.identifier.urihttp://ruj.uj.edu.pl/xmlui/handle/item/33899
dc.identifier.weblinkhttp://www.archivespp.pl/uploads/images/2016_18_4/53Izydorczyk_Archives_PP_4_2016.pdfpl
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa*
dc.rights.licenceCC-BY
dc.rights.urihttp://creativecommons.org/licenses*
dc.share.typeotwarte czasopismo
dc.subject.eneating disorders predictorspl
dc.subject.endifferential diagnosispl
dc.subject.enpsychological variablespl
dc.subject.enclassification treepl
dc.subtypeArticlepl
dc.titleDifferential diagnosis of eating disorders with the use of classification trees (decision algorithm)pl
dc.title.journalArchives of Psychiatry and Psychotherapypl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-09T20:50:00Z
dc.abstract.enpl
Background: The aim of the study was to establish whether it is possible to make a correct diagnosis of various types of eating disorders on the basis of several variables. Method: A group of 213 females, 20 to 26 years of age, took part in the study. 92 women (control group) and 121 women (research group). We used the Eating Disorder Inventory (EDI), the Socio-cultural Attitudes Towards Appearance Questionnaire-3 (SATAQ-3) and a questionnaire of behavior towards the body. A selection of dependent variable predictors of disorder was made and a classification tree was developed. Results: People suffering from eating disorders differ from healthy individuals in the intensity of the variable “pattern for constructing emotional relationships on the basis of lack of trust and certainty in interpersonal relations”. People suffering from various types of eating disorders differ – besides the BMI – on such psychological traits as fear of gaining weight and a restrictive strive to be slim, as well as dissatisfaction with the body. A differential diagnosis in line with a decision algorithm correctly identified healthy individuals in 100% of cases, bulimia in 78.72% of cases, binge eating disorder in 93.33% of cases, and anorexia in 86.36% of cases. Conclusions: Psychological predictors of eating disorders may be arranged in the form of a classification tree. It is possible to make an accurate differential diagnosis of eating disorders on the basis of results of measurements of six variables.
dc.affiliationpl
Wydział Zarządzania i Komunikacji Społecznej : Instytut Psychologii Stosowanej
dc.contributor.authorpl
Izydorczyk, Bernadetta - 365550
dc.contributor.authorpl
Wojciechowski, Bartosz
dc.date.accessionpl
2016-12-06
dc.date.accessioned
2016-12-16T11:39:55Z
dc.date.available
2016-12-16T11:39:55Z
dc.date.issuedpl
2016
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. 62
dc.description.numberpl
4
dc.description.physicalpl
53-62
dc.description.publicationpl
0,6
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
18
dc.identifier.doipl
10.12740/APP/66519
dc.identifier.eissnpl
2083-828X
dc.identifier.issnpl
1509-2046
dc.identifier.projectpl
ROD UJ / P
dc.identifier.uri
http://ruj.uj.edu.pl/xmlui/handle/item/33899
dc.identifier.weblinkpl
http://www.archivespp.pl/uploads/images/2016_18_4/53Izydorczyk_Archives_PP_4_2016.pdf
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa
dc.rights.licence
CC-BY
dc.rights.uri*
http://creativecommons.org/licenses
dc.share.type
otwarte czasopismo
dc.subject.enpl
eating disorders predictors
dc.subject.enpl
differential diagnosis
dc.subject.enpl
psychological variables
dc.subject.enpl
classification tree
dc.subtypepl
Article
dc.titlepl
Differential diagnosis of eating disorders with the use of classification trees (decision algorithm)
dc.title.journalpl
Archives of Psychiatry and Psychotherapy
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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