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An evaluation of the cranial variation of Indian South Africans in comparison to other modern South Africans
Thesis (PhD (Anatomy))--University of Pretoria, 2024
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University of Pretoria
2024
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| _version_ | 1867613676359385088 |
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| access_status_str | Open Access |
| author2 | L'Abbe, Ericka Noelle |
| author_browse | L'Abbe, Ericka Noelle |
| author_facet | L'Abbe, Ericka Noelle |
| collection | Thesis |
| dc_rights_str_mv | © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Thesis (PhD (Anatomy))--University of Pretoria, 2024 |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/94536 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:56.028Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/94536 An evaluation of the cranial variation of Indian South Africans in comparison to other modern South Africans L'Abbe, Ericka Noelle gabi.kruger@up.ac.za Jantz, Richard L. Krüger, Gabriele Christa UCTD Computed tomography Sex estimation Interlandmark distances Linear discriminant analysis Indian South Africans Random forest modelling Geometric morphometrics Population affinity Cranial variation Morphoscopic Sustainable Development Goals (SDGs) SDG-09: Industry, innovation and infrastructure SDG-09: Industry, innovation and infrastructure Health sciences theses SDG-09 Thesis (PhD (Anatomy))--University of Pretoria, 2024 Constant re-evaluation of standards used in forensic anthropological analyses are necessary, particularly as new methods are explored or populations change. Even though Indian South Africans are not a new addition to the South African population, the lack of skeletal material available for analysis has resulted in a lack of information on the variation present in the crania of this group. Furthermore, although black, white and coloured South African crania have been previously researched and standards created, by similarly making use of three-dimensional (3D) models created from computed tomography (CT) scans, the data are comparable to the Indian South African data collected and all four groups could be explored simultaneously. The aim of this project was to use 3D CT models to explore cranial variation in Indian South Africans when compared to current black, coloured and white South Africans to distinguish among the groups when estimating sex and population affinity from the cranium. 3D cranial models were created from 409 head CT scans of black, coloured, white and Indian South Africans (equal sex and population distribution). A total of 42 landmarks were recorded on each skull. The coordinates were used to assess shape differences using geometric morphometrics, generalized Procrustes analysis and principal component analysis. Standard and non-standard interlandmark distances (ILD) were also created from the landmark coordinate data and assessed using analysis of variance for significant sex and population differences, and symmetric percent differences for comparisons of the degree of sexual dimorphism among the different population groups. Furthermore, linear discriminant analysis (LDA) was used to assess the classification potential of the various ILDs to estimate sex and population affinity. Four morphoscopic traits were also scored on each cranium according to the methodology by Walker (2008). The scores were then assessed for their ability to separate between the sexes in each of the population groups using ordinal logistic regression and random forest modelling. Indian South Africans obtained the highest correct classification rates for sex using morphoscopic traits (95.7%) and demonstrated substantial differences between Indian South African males and females for the ILDs. Similarly, the remaining three population groups had excellent correct classification rates for the morphoscopic traits (88.0% - 91.5%) and sex could be estimated with high rates using ILDs (90.7%). Furthermore, acceptable classification rates were obtained when estimating population affinity for the four South African populations when the ILDs (up to 62.2%) and 3D coordinates (up to 63.8%) were assessed, indicating cranial differences among the four groups. Even though population affinity could be estimated, substantial overlap between coloured, Indian and white South Africans was noted, most likely due to the similarities in genetic influences that have contributed to the various populations. The assessment of current Indian South Africans as well as the exploration of the cranial variation present in the other three larger current South African populations, was only possible through the use of 3D cranial models created from head CT scans, and was able to provide novel information that can be applied in both biological and forensic anthropology. Keywords: computed tomography, sex estimation, population affinity, Indian South Africans, cranial variation, morphoscopic, random forest modelling, geometric morphometrics, linear discriminant analysis, interlandmark distances. Anatomy PhD (Anatomy) Unrestricted Faculty of Health Sciences SDG-09: Industry, innovation and infrastructure 2024-02-13T09:47:40Z 2024-02-13T09:47:40Z 2024-05-03 2024-02-13 Thesis * A2024 http://hdl.handle.net/2263/94536 10.25403/UPresearchdata.25211171 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Computed tomography Sex estimation Interlandmark distances Linear discriminant analysis Indian South Africans Random forest modelling Geometric morphometrics Population affinity Cranial variation Morphoscopic Sustainable Development Goals (SDGs) SDG-09: Industry, innovation and infrastructure SDG-09: Industry, innovation and infrastructure Health sciences theses SDG-09 An evaluation of the cranial variation of Indian South Africans in comparison to other modern South Africans |
| title | An evaluation of the cranial variation of Indian South Africans in comparison to other modern South Africans |
| title_full | An evaluation of the cranial variation of Indian South Africans in comparison to other modern South Africans |
| title_fullStr | An evaluation of the cranial variation of Indian South Africans in comparison to other modern South Africans |
| title_full_unstemmed | An evaluation of the cranial variation of Indian South Africans in comparison to other modern South Africans |
| title_short | An evaluation of the cranial variation of Indian South Africans in comparison to other modern South Africans |
| title_sort | evaluation of the cranial variation of indian south africans in comparison to other modern south africans |
| topic | UCTD Computed tomography Sex estimation Interlandmark distances Linear discriminant analysis Indian South Africans Random forest modelling Geometric morphometrics Population affinity Cranial variation Morphoscopic Sustainable Development Goals (SDGs) SDG-09: Industry, innovation and infrastructure SDG-09: Industry, innovation and infrastructure Health sciences theses SDG-09 |
| url | http://hdl.handle.net/2263/94536 |