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Assessing Biological Mortality Bias From Deciduous Tooth Emergence
Darryl J Holman1, Chris J Dolinski2
1Department of Anthropology, Center for Studies in Demography and Ecology, Center for Statistics and the Social Sciences, University of Washington, Seattle, Washington, USA.
Skeletal samples may not accurately reflect living populations due to biological mortality bias. This study found limited evidence of such bias in deciduous tooth emergence, suggesting skeletal age estimation is generally reliable.
Area of Science:
- Paleoanthropology
- Bioarchaeology
- Human Biology
Background:
- Skeletal samples are crucial for inferring living population traits.
- Observed traits in skeletal samples (mortality samples) may differ from living populations due to biological mortality bias.
- Deciduous tooth emergence is a key trait for estimating chronological age in skeletal samples.
Purpose of the Study:
- To assess biological mortality bias in deciduous tooth emergence.
- To determine if deciduous tooth emergence in a mortality sample accurately represents the living population.
Main Methods:
- Utilized longitudinal study data from Javanese, Guatemalan, and Bangladeshi children.
- Compared deciduous tooth emergence timing between living and mortality samples.
- Employed parametric hazards analysis to test for significant differences.
Main Results:
- No significant differences in tooth emergence were found between living and mortality samples in Bangladesh and Java.
- A trend towards delayed emergence was observed in the Bangladesh mortality sample.
- The Guatemalan mortality sample showed advanced posterior tooth emergence.
- Pooled analyses across samples revealed no evidence of biological mortality bias.
Conclusions:
- Limited evidence suggests deciduous tooth emergence in skeletal samples does not significantly differ from living populations.
- This finding supports the general reliability of using deciduous tooth emergence for age estimation in bioarchaeology.
- Further research may explore specific regional variations or other traits for potential bias.
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