Allyson M. Simon, Colleen M. Cheverko, Melissa A. Clark, Tempest D. Mellendorf, M. Hubbe
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引用次数: 0
摘要
死亡年龄估计受生物和环境因素的影响。生理应激与这些因素交织在一起,但它们对衰老和年龄估计的影响尚不清楚。利用Hamann-Todd骨学收集(n = 297)的身高、线性牙釉质发育不全(LEH)和死前牙齿脱落(AMTL)来了解生理应激是否与使用过渡分析(TA)估计年龄不准确有关。考虑到收集中个体的低社会经济地位,预计许多人一生中都会经历中度到重度的生理压力。在样本中,44.1%至少有一个LEH,但分析发现LEH发生率与TA误差之间没有关系。男性和女性的身高和TA误差之间没有关联。然而,至少有一个LEH的女性明显更矮(t = 2.412, p = 0.009),而男性没有表现出相同的模式(t = 1.498, p = 0.068)。此外,AMTL频率与TA误差相关(r = 0.276, p < 0.001)。在控制死亡年龄的偏相关中,相关系数为0.024 (p = 0.684),表明这种关系主要由死亡年龄来解释。这些数据表明,在该样本中,年龄估计方法不受生理应激的显著影响,但需要进一步研究以了解这些变量与骨骼衰老的关系。
The Effects of Physiological Stress on the Accuracy of Age-at-Death Estimation in The Hamann–Todd Collection
Age-at-death estimation is influenced by biological and environmental factors. Physiological stress is intertwined with these factors, yet their impact on senescence and age estimation is unknown. Stature, linear enamel hypoplasia (LEH), and antemortem tooth loss (AMTL) in the Hamann–Todd Osteological Collection (n = 297) are used to understand whether physiological stress is related to age estimation inaccuracy using transition analysis (TA). Considering the low socioeconomic status of individuals in the collection, it was expected that many people experienced moderate to severe physiological stressors throughout their lives. Of the sample, 44.1% had at least one LEH, but analyses found no relationship between LEH incidence and TA error. There was no association between stature and TA error for males or females. However, females with at least one LEH had significantly shorter statures (t = 2.412, p = 0.009), but males did not exhibit the same pattern (t = 1.498, p = 0.068). Further, AMTL frequency and TA error were related (r = 0.276, p < 0.001). A partial correlation controlling for age-at-death yielded a correlation coefficient of 0.024 (p = 0.684), suggesting that this relationship is mostly explained by age-at-death. These data suggest that age estimation methods are not significantly affected by physiological stress in this sample, but further investigations are needed to understand how these variables relate to skeletal aging.