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Anthropometric-hormonal correlation patterns in San and Kavango males from Namibia.
1Institut für Humanbiologie, Universität Wien, Austria.
Annals of Human Biology
|July 1, 1991
Summary
Sex hormone levels correlate with body dimensions in Namibian and German men. While breadth measurements show consistent links, other body dimensions vary across populations due to genetic and environmental factors.
Area of Science:
- Anthropology
- Endocrinology
- Human Biology
Background:
- Previous studies on sex hormone levels and body dimensions were limited to Caucasian populations.
- Understanding these correlations in diverse ethnic groups is crucial for a comprehensive view of human adaptation.
Purpose of the Study:
- To investigate the correlations between sex hormone levels and body dimensions in !Kung San and Kavango men from Namibia.
- To compare these correlations with a German population to assess their stability across different ecological and economic conditions.
Main Methods:
- Radioimmunoassay was used to determine serum androgens (testosterone, 5 alpha-dihydrotestosterone) and oestradiol, as well as salivary free testosterone.
- Factor analysis was applied to 50 anthropometric features to derive seven key body dimension factors.
- Statistical analysis was performed to correlate hormone levels and ratios with individual measurements and factor scores.
Main Results:
- Significant correlations were observed between sex hormone variables and body measurements/factor scores in both Namibian groups.
- Breadth measurements consistently correlated with hormones and hormone ratios across all studied populations.
- Correlations with other body measurements and factor scores showed less stability, indicating population-specific influences.
Conclusions:
- Sex hormone levels are linked to body dimensions in diverse populations, but the strength and nature of these correlations vary.
- Genetic and environmental factors significantly modulate the relationship between sex hormones and physical growth.
- This study highlights the importance of considering population-specific factors in understanding human biological variation.