Texte remanié de: Thèse de doctorat--Anthropologie sociale--Paris--EHESS, 2005. / Bibliogr. p. 357-412. Index.

published_or_final_version / Medical Sciences / Master / Master of Medical Sciences

Thesis (Ph. D.)--Michigan State University, 2007. / Includes bibliographical references (leaves 143-154). Also available online (PDF file) by a subscription to the set or by purchasing the individual file.

In this thesis, stature reconstruction of three prehistoric/protohistoric Native American populations (from Alaska, the Aleutian Islands, and South Dakota) was performed using the Fully Anatomical method in order to formulate regression equations and analyze the ability of regression equations of other researchers to accurately estimate the statures within my study populations. The calculation of regression equations demonstrated that even though there was a significant difference in the statures of the three populations, they were similar enough in body proportions such that regression equations from the pooled sample could be used to accurately estimate statures from all three groups as well as 12 randomly chosen individuals from outside the study sample. Results of statures calculated using the regression formulae of other researchers on my sample populations forced me to conclude that there is too much variation between populations to allow for much inter-populational applicability except in those cases where the populations are similar enough in proportion. For my study groups, the best equations for estimating statures (besides the ones formulated specifically for them) were those of Sciulli et al. for Ohio native Americans, followed closely by Trotter and Gleser's 1952 and 1958 equations. The femur/stature ratio of Feldesman et al (1990) performed relatively poorly, and the formulae of Genoves' for Mesoamericans (1967) were the least accurate. While individual statures may be more highly influenced by genes, the mean statures of populations or homogeneous geographical groups is more controlled by common levels of nutrition, stress, and environment of the individuals within that group. The Arikara were the tallest population: the female mean of that group were as tall as the male means from both the Alaskan and Aleutian populations. The populations in this study differed in their degree of sexual dimorphism, with the Arikara individuals showing the greatest stature difference and dimorphism between males and females. The distal limb bones of the arms and the legs of the individuals from both Alaska and the Aleutian Islands show significant shortening when compared to those of the Arikara, supporting "biogeographical" rules of human adaptations to chronically cold environments. The results of this study illustrate how important it is for researchers to keep studying (and publishing regression equations for) statures of prehistoric and historic populations. Until someone develops a formulae that can truly be applied to populations everywhere-as the femur/stature ratio and the line of organic correlation attempted to-there is too much variation between groups to allow researchers to continue to apply equations not applicable to their population. / Graduation date: 2002

Reconstructing stature is at the core of providing information on unidentified human remains. This research shows that there are significant differences between modern populations and those used to create the most common stature estimation formulae. New formulae for the femur and fibula in males and females were created to provide accurate estimates for modern forensic cases. Additionally, a novel measurement of the femur is shown to be moderately correlated with stature and stature estimation formulae for this measurement are included.

Objectives: The waist-to-stature ratio (WSR) is newly developed index, proposed to be of greater value as a simple anthropometric indicator, for predicting abdominal obesity and related cardiovascular co-morbidities in adults and children. This study examined age and gender differences in waist-to-stature (WSR) as measure of centripetal fat patterning in a sample of children in Pretoria, South Africa.

No description available.

published_or_final_version / Paediatrics / Doctoral / Doctor of Philosophy

This study was designed to investigate the relationship between height and self-esteem, and to examine the mediating effects of self-consciousness. Four hundred and seventy-nine college students, 143 males and 336 females, 75% under the age of 21, were administered The Personal Opinion Survey which consisted of demographic information, the Rosenberg Self-Esteem Scale, and Elkind and Bowen's Imaginary Audience Scale. Findings revealed a nonlinear relationship between height and self-esteem. Further, self-consciousness emerged as a significant mediator of the relationship between height and self-esteem, accounting for the difference in male and female self-esteem scores. Moreover, the influence of self-consciousness on the height and self-esteem relationship was revealed greatest for females.

Thesis (M.A.)--Texas State University--San Marcos, 2009. / Vita. Appendices: leaves 51-76. Includes bibliographical references (leaves 77-82). Also available on microfilm.