López-Rey José M, Cambra-Moo Óscar, García-Martínez Daniel
Paleoanthropology Group, Department of Paleobiology, National Museum of Natural Sciences (MNCN-CSIC), Madrid, Spain.
Laboratorio de Poblaciones del Pasado (LAPP), Department of Biology, Faculty of Sciences, Autonomous University of Madrid (UAM), Madrid, Spain.
Am J Biol Anthropol. 2025 Jul;187(3):e70087. doi: 10.1002/ajpa.70087.
The cross-sectional area occupied by mineralized tissues is so high in non-adult individuals that linear methods provide limited information about its variation along their bones. This issue can be addressed using the compartmentalization index, a non-linear index that amplifies differences in cross sections with more than 90% of the mineralized area.
We selected five femur diaphyseal cross sections of 35 non-adult Homo sapiens individuals from perinatal to 5 years old. Then we measured the percentage of mineralized area of each section and calculated the corresponding compartmentalization index. Subsequently, the distribution of both measurements was graphically tested.
As expected, variations of femur diaphyseal mineralized areas are visually magnified using the compartmentalization index for values exceeding 90%, but the significance of statistical comparisons between groups is not affected. This makes the index particularly useful for exploring subtle variations in the early stages of growth and development. In addition, we found that using either the compartmentalization index or direct percentage measurements is equally effective for cross sections with lower mineralized area, as the data distributions are comparable. This also allows applying the compartmentalization index in research focused exclusively on adult individuals.
在非成年人个体中,矿化组织所占的横截面积非常大,以至于线性方法只能提供关于其沿骨骼变化的有限信息。这个问题可以通过使用分区指数来解决,分区指数是一种非线性指数,它能放大矿化面积超过90%的横截面差异。
我们从围产期到5岁的35名非成年智人个体中选取了五个股骨干横截面。然后我们测量了每个横截面的矿化面积百分比,并计算了相应的分区指数。随后,对这两个测量值的分布进行了图形检验。
正如预期的那样,对于超过90%的值,使用分区指数可以直观地放大股骨干矿化面积的变化,但组间统计比较的显著性不受影响。这使得该指数对于探索生长发育早期的细微变化特别有用。此外,我们发现,对于矿化面积较低的横截面,使用分区指数或直接百分比测量同样有效,因为数据分布具有可比性。这也使得分区指数能够应用于仅关注成年人个体的研究中。