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Tooth dimensions and body size in a Pygmy population
Fernando V Ramirez-Rozzi1,2, Alejandro Romero3
1UMR 7206 CNRS, MNHN UP, 17 pl. Trocadéro, Paris, France.
Annals of Human Biology
|September 27, 2019
Summary
Tooth size and body stature show weak correlations in Baka Pygmies, suggesting environmental factors influence their unique phenotype. This contrasts with other human populations, highlighting adaptations to forest living.
Area of Science:
- Anthropology
- Human Biology
- Forensic Anthropology
Background:
- The relationship between tooth size and stature is well-studied across species but less so within human populations.
- Existing research suggests this relationship varies among modern human groups.
- Intraspecies variation in tooth-stature correlation warrants further investigation.
Purpose of the Study:
- To investigate the correlation between dental dimensions and body measurements in the Baka Pygmy population.
- To compare these findings with established relationships in other human groups.
- To understand potential influences on the tooth-stature relationship in this specific population.
Main Methods:
- Measurements of height, weight, and various tooth dimensions were collected from 45 Baka females and 17 males.
- Statistical correlation analyses were performed between dental and body measurements.
- Results were compared with existing data from other human populations.
Main Results:
- The Baka Pygmy population exhibited a notably low number of significant correlations between tooth dimensions and body measurements.
- Only two buccolingual tooth diameters in females showed a significant correlation with height.
- This lack of correlation implies that body size changes in the Baka are associated with random variations in tooth dimensions.
Conclusions:
- The absence of a strong tooth-stature correlation in the Baka may be attributed to environmental impacts on somatic growth, contributing to their adapted Pygmy phenotype.
- This suggests that environmental factors play a significant role in shaping physical traits in this population.
- Pooling data from both sexes revealed a higher number of significant correlations, indicating potential sex-specific differences.
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