Kaalulangetuse edukust ennustavate iseloomujoonte määramine

dc.contributor.advisorVainik, Uku, juhendaja
dc.contributor.advisorKolde, Raivo, juhendaja
dc.contributor.advisorArumäe, Kadri, juhendaja
dc.contributor.authorPuudist, Eerik Sven
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Arvutiteaduse instituutet
dc.date.accessioned2024-10-04T13:00:02Z
dc.date.available2024-10-04T13:00:02Z
dc.date.issued2024
dc.description.abstractThis study examines the relationship of personality traits with changes in body mass index (BMI) using a more detailed personality measurement questionnaire and a larger sample (N > 45000) compared to previous studies. Using regression models (linear models, random forest, XGBoost), Gaussian mixture models, and factor analysis, we examine the relationships of personality traits with a person’s largest historical BMI, largest BMI decline, and BMI regain. The goal is to find which character traits influence those outcomes the most to assist in developing personalized weight loss treatment plans. We point out that BMI is related to almost all aspects of one’s personality. Those relationships seem to be linear. However, the factors predicting the change in BMI are different between genders, and therefore both genders should be addressed separately in the development of weight loss methodologies.
dc.identifier.urihttps://hdl.handle.net/10062/105171
dc.language.isoen
dc.publisherTartu Ülikoolet
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Estoniaen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ee/
dc.subjectisiksus
dc.subjectsuur viisik
dc.subjectKMI
dc.subjectsoolised erinevused
dc.subjectlineaarsed mudelid
dc.subjectfaktoranalüüs
dc.subjectGaussi segumudelid
dc.subject.othermagistritöödet
dc.subject.otherinformaatikaet
dc.subject.otherinfotehnoloogiaet
dc.subject.otherinformaticsen
dc.subject.otherinfotechnologyen
dc.titleKaalulangetuse edukust ennustavate iseloomujoonte määramine
dc.typeThesisen

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