“This research allows us to determine whether an individual was overweight based solely on the characteristics of a skeleton’s femur, or thigh bone,” says Dr. Ann Ross, an associate professor of anthropology at NC State and co-author of a paper describing the research. However, Ross notes, this research does not give us the ability to provide an individual’s exact weight based on skeletal remains.
Researchers found that the heavier an individual was, the wider the shaft of that person’s femur. The researchers hypothesize that the femur of an overweight person is more robust because it bears more weight, but also because overweight individuals move and walk differently to compensate for their greater mass.
The researchers evaluated the femur bones of 121 white men for the study. They used the bones of white men exclusively in order to eliminate any variation that could be attributed to race or gender.
The lead author of the paper, “The Effect of Weight on the Femur: A Cross-Sectional Analysis,” is Gina Agostini, who did the work while a graduate student at NC State. The paper is published in the March issue of the Journal of Forensic Sciences.
NC State’s Department of Sociology and Anthropology is part of the university’s College of Humanities and Social Sciences.
Note to editors: The study abstract follows.
“The Effect of Weight on the Femur: A Cross-Sectional Analysis”
Authors: Gina M. Agostini, University of Massachusetts, Amherst; Ann H. Ross, North Carolina State University
Published: March 2011, Journal of Forensic Sciences
Abstract: This study assessed whether obesity significantly affects femoral shape. Femora of 121 white men were divided into two weight classes based on body mass index (BMI) of the deceased. Five external anteroposterior (AP) and mediolateral (ML) measurements were taken at consistent percentages of diaphyseal length. These were then subject to statistical tests. After controlling for age, multivariate statistics show a significant (p < 0.05) effect of BMI on the femur, with the greatest significance in ML measurements. T-tests confirm these dimensions are significantly larger in the overweight (p < 0.05). The effect of BMI on size-transformed and shape-transformed variables was also evaluated, with ANOVA results showing a significant BMI effect on ML size (p < 0.05), but not shape. Significant size-transformed ML variables were then subject to discriminate function analyses with a cross-validation correction. Results show a correct classification rate of 88% in normal weight and 77% in overweight individuals.