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dc.contributor.authorPienaar, Cindy
dc.contributor.authorCoetzee, Ben
dc.contributor.authorMonyeki, Andries M
dc.date.accessioned2016-09-16T09:32:46Z
dc.date.available2016-09-16T09:32:46Z
dc.date.issued2015
dc.identifier.citationPienaar, C. et al 2015. The use of anthropometric measurements and the Influence of demographic factors on the prediction of vo2max in a cohort of adolescents: the Pahl study. Annals of human biology, 42(2):134–142. [http://www-tandfonline-com.nwulib.nwu.ac.za/doi/full/10.3109/03014460.2014.930173]en_US
dc.identifier.issn0301–4460
dc.identifier.issn1464–5033 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/18798
dc.identifier.urihttp://www-tandfonline-com.nwulib.nwu.ac.za/doi/full/10.3109/03014460.2014.930173
dc.description.abstractBackground: prediction models have not focused on children and adolescents from South Africa and have not included various demographic factors as possible predictors. Aim: The purpose of this study was, therefore, to determine whether a valid prediction function can be developed from several anthropometric measurements and demographic factors of a cohort of adolescents in South Africa. Subjects and methods: A total of 214 adolescent boys (n = 88) and girls (n = 126) (15.82 ± 0.68 years) were selected. Demographic, sport and maturation data were collected by means of questionnaires, whereas anthropometric measurements were taken by accredited anthropometrists and the 20-m Shuttle Run Test (SRT) executed to determine indirect values. A forward stepwise multiple regression analysis was performed to identify the cluster analysis reduced predictors and a cross-validation was performed in order to validate the prediction function. Results: Muscle mass percentage, sport participation level, stature, hip circumference and ectomorphy acted as significant predictors (p < 0.05) of the adolescents’ indirect, 20-m SRT values. Seventy per cent of the variance in the indirect, 20-m SRT values could be explained by this model. Cross-validation also confirmed the model’s validity. Conclusion: Results indicate that the of adolescents from different racial backgrounds, living areas and gender groups can be accurately predicted by making use of a population-specific model.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Open Selecten_US
dc.subjectaerobicen_US
dc.subjectbody compositionen_US
dc.subjectexerciseen_US
dc.subjectfitnessen_US
dc.subjectregression equationen_US
dc.subjectyouthen_US
dc.titleThe use of anthropometric measurements and the Influence of demographic factors on the prediction of vo2max in a cohort of adolescents: the Pahl studyen_US
dc.typeArticleen_US
dc.contributor.researchID10090053 – Coetzee, Ben
dc.contributor.researchID12621595 – Monyeki, Makama Andries
dc.contributor.researchID12374695 – Pienaar, Cindy


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