A multivariate statistical approach to the assessment of nutrition status

dc.contributor.advisorTroskie, Casper Gen_ZA
dc.contributor.authorFellingham, Stephen Arthuren_ZA
dc.date.accessioned2016-03-14T07:15:08Z
dc.date.available2016-03-14T07:15:08Z
dc.date.issued1972en_ZA
dc.descriptionTypescript (photocopy).en_ZA
dc.description.abstractAttention is drawn to the confusion which surrounds the concept of nutrition status and the problem of selecting an optimum subset of variables by which nutrition status can best be assessed is defined. Using a multidisciplinary data set of some 60 variables observed on 1898 school children from four racial groups, the study aims to identify statistically, both those variables which are unrelated to nutrition status and also those which, although related, are so highly correlated that the measurement of all would be an unnecessary extravagance. It is found that, while the somatometric variables provide a reasonably good (but non-specific) estimate of nutrition status, the disciplines form meaningful groups and the variables of the various disciplines tend to supplement rather than replicate each other. Certain variables from most of the disciplines are, therefore, necessary for an optimum and specific estimate of nutrition status. Both the potential and the shortcomings of a number of statistical techniques are demonstrated.en_ZA
dc.identifier.apacitationFellingham, S. A. (1972). <i>A multivariate statistical approach to the assessment of nutrition status</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/17702en_ZA
dc.identifier.chicagocitationFellingham, Stephen Arthur. <i>"A multivariate statistical approach to the assessment of nutrition status."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1972. http://hdl.handle.net/11427/17702en_ZA
dc.identifier.citationFellingham, S. 1972. A multivariate statistical approach to the assessment of nutrition status. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Fellingham, Stephen Arthur AB - Attention is drawn to the confusion which surrounds the concept of nutrition status and the problem of selecting an optimum subset of variables by which nutrition status can best be assessed is defined. Using a multidisciplinary data set of some 60 variables observed on 1898 school children from four racial groups, the study aims to identify statistically, both those variables which are unrelated to nutrition status and also those which, although related, are so highly correlated that the measurement of all would be an unnecessary extravagance. It is found that, while the somatometric variables provide a reasonably good (but non-specific) estimate of nutrition status, the disciplines form meaningful groups and the variables of the various disciplines tend to supplement rather than replicate each other. Certain variables from most of the disciplines are, therefore, necessary for an optimum and specific estimate of nutrition status. Both the potential and the shortcomings of a number of statistical techniques are demonstrated. DA - 1972 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1972 T1 - A multivariate statistical approach to the assessment of nutrition status TI - A multivariate statistical approach to the assessment of nutrition status UR - http://hdl.handle.net/11427/17702 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/17702
dc.identifier.vancouvercitationFellingham SA. A multivariate statistical approach to the assessment of nutrition status. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1972 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/17702en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherStatistical Sciencesen_ZA
dc.subject.otherNutritionen_ZA
dc.titleA multivariate statistical approach to the assessment of nutrition statusen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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