The prediction of physique from the skeleton

Dados Bibliográficos

ID12371104
AutoresA M W Porter, Alan Porter (0000-0001-5622-7288, autor correspondente)
Ano1999
Volume9
Fascículo2
Páginas102-115
Data de publicação1999-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Osteoarchaeology (JOURNAL)
Identificadores do periódicoISSN: 1047-482X • E-ISSN: 1099-1212
EditoraWiley (PUBLISHER • GB)
DOI10.1002/(sici)1099-1212(199903/04)9:2<102::aid-oa460>3.0.co;2-2
OpenAlexW2029525356
IdiomaEN
Citações recebidas3
Referências citadas23

This paper attempts to define the relation between (1) human skeletal measurements and (2) height, weight and physique indices. Admitted to the study were 686 men and women from five ethnic groups (White, Inuit, Gurkha, Bantu and San). In addition to height and weight, subjects had defined cranial and postcranial measurements taken using methods derived from clinical examination techniques. Measurements were checked for reliability. Skinfold callipers were used to allow for the thickness of soft-tissues overlying bone widths. Adjustment factors were derived from radiological gold standards. Radiological measurements, adjusted for magnification, of the lumbar vertebrae from 42 subjects were also done. A correlation matrix was constructed for the complete study population and all variables to allow a preliminary assessment of useful predictive independent variables. Discriminant scores for classification by gender were calculated. Regression computations, using least square regression, were calculated for six defined reference populations. The regression residuals were examined to confirm fulfilment of assumptions. The results indicated that skull and dental arcade variables yield little information about the size and physique of an individual but have some relevance for group comparisons. Long bone widths are moderately and equally correlated with height and weight. Lower limb bone widths are better correlated with body weight than those of the upper limb. The best predictive variables for body weight are the minimal ‘area’ of the lumbar vertebrae (L1–L4) and regressions involving various bone widths. It is confirmed that height correlates well with the lengths of long bones, but the prediction is improved by the addition of a width from the same bone as a second independent variable. Lower limb long bones are not better predictors of height than upper limb ones. The body mass index is best predicted from the available measurements by a regression with the minimal ‘area’ of L1 and the tibial length as independent variables. A lumbar vertebra, particularly L1, yields important information about height, weight and the body mass index. The patella width is, in part, a marker for mesomorphy. Reconstruction of the ankle to enable the width across the malleoli to be measured would yield useful estimates of weight and height. The findings have been applied to the Paviland femur. A provisional male attribution has been made. The derived height is similar to that of tall modern White men. The physique was probably mesomorphic and ectopenic, the physique of strength rather than mobility, but the confidence intervals are very wide. To enable this sort of assessment to be made more confidently, the study requires replication substituting the precision of magnetic resonance imaging for the relative imprecision of skeletal measurements taken directly from the intact body. Copyright © 1999 John Wiley & Sons, Ltd

Anthropometry · Appendicular skeleton · Biology · Calipers · Discriminant function analysis · Geometry · Linear regression · Population · Postcrania · Regression analysis · Skeleton (computer programming · Statistics · Autopsy Techniques and Outcomes · Forensic Anthropology and Bioarchaeology Studies · Mathematics · Medicine · Paleopathology and ancient diseases · Anatomy · Internal Medicine · Orthodontics