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Examination of osteoarthritis for age-at-death estimation in a modern population.

机译:在现代人群中检查骨关节炎以估计死亡年龄。

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摘要

Age estimation techniques have utilized cranial suture closure, the sternal rib ends, the auricular surface, and the pubic symphysis, each with varying degrees of success. Although recent research has attempted to advance methodologies for age estimation, little progress has been made in discerning forensic age ranges that are beyond general estimates, especially in the old adult (50+) cohort. Since the accuracy of current aging methods decreases as chronological age increases, degenerative changes within the skeleton could potentially yield useful data for establishing and narrowing age estimates for older individuals, especially where only limited or fragmentary remains are recovered. The purpose of the present study was to conduct a visual examination of joint surfaces typically found to be affected by osteoarthritis (OA) by the fourth decade of life using a modified version of the OA scoring system proposed by Buikstra and Ubelaker (1994).;According to archaeological, forensic, and clinical research, OA is most commonly found in the shoulder, hip, and knee, making these joints ideal for use in the present study. Within these three joints, ten osseous surfaces were examined: the acromial facet of the scapula, the glenoid fossa of the scapula, the lateral clavicle, the humeral head, the acetabulum of the os coxa, the femoral head, the medial and lateral femoral condyles, and the medial and lateral facets of the patella. Evidence of lipping, surface porosity, osteophyte formation, and eburnation were recorded on an ordinal scale, along with the percentage of the joint surface that was covered by each of the aforementioned traits. The data gathered from this examination were used to create a composite scoring system for age-at-death estimation using a modern North American sample of 206 White individuals from the W. M. Bass Donated Skeletal Collection and the Boston University Donated Osteological Collection.;Significance testing indicated that sex differences were not present in the current analysis. A paired-sample t-test determined that the sample was affected with statistically significant levels of bilateral asymmetry. In addition, the current method is affected by low levels of intraobserver error, with only 5% of the sample being affected.;Data from multiple joint surfaces were combined for statistical analysis to create composite variables for each joint. The composite variables are combinations of traits for each joint that stepwise regression demonstrated as the best indictors for narrowing prediction intervals. This created a series of composite scores for the left shoulder, right shoulder, left hip, right hip, left knee and right knee. Individual prediction intervals at the 90% confidence interval were generated to create age ranges for each composite score. The mean age and frequency of each composite score was also recorded. This multifactorial approach demonstrated that the left and right shoulders provided the narrowest prediction intervals and also possessed the highest predictive power for estimating age-at-death. Relative predictive power was determined using R2. The R 2 value for the right shoulder was the highest at 0.603, followed closely by the left shoulder with an R2 value of 0.567. The R2 value for all remaining variables was less than 0.3, indicating weak predictive power.;The results of the present study were then compared to the four traditional macroscopic aging techniques: suture closure, morphology of the sternal rib ends, morphology of the auricular surface and the pubic symphysis. Sample distribution, correlation data, derived age ranges and error rates were compared between previous research and the results of the present study. All age estimation techniques demonstrated a positive correlation with age. Age ranges that were derived using Bayesian statistics or individual prediction intervals are more accurate at predicting actual age than those that were generated using confidence intervals of the mean, which provide information for mean age rather than actual age. (Abstract shortened by UMI.).
机译:年龄估算技术已利用颅骨缝线闭合,胸骨肋骨末端,耳廓和耻骨联合完成,每种方法均获得不同程度的成功。尽管最近的研究试图改进年龄估计的方法,但在辨别法医年龄范围(一般估计值超出一般估计)方面进展甚微,尤其是在成年人(50岁以上)人群中。由于当前的衰老方法的准确性随着年龄的增长而降低,因此骨骼内部的退化性变化可能会产生有用的数据,用于建立和缩小年龄较大的个体的年龄估计,尤其是在仅回收有限或零碎的遗骸的情况下。本研究的目的是使用Buikstra和Ubelaker(1994)提出的OA评分系统的改进版本,对生命的第四十年通常被发现患有骨关节炎(OA)的关节表面进行视觉检查。根据考古,法医和临床研究,OA最常见于肩部,臀部和膝盖,因此这些关节非常适合本研究使用。在这三个关节中,检查了十个骨表面:肩s骨的肩峰小面,肩cap骨的盂状窝,外侧锁骨,肱骨头,co骨髋臼,股骨头,股骨内侧和外侧lateral以及and骨的内侧和外侧。依次记录唇滑,表面孔隙度,骨赘形成和烧伤的证据,以及上述每种特征所覆盖的关节表面的百分比。从这次检查中收集的数据用于建立死亡年龄估计的综合评分系统,该样本使用了来自WM巴斯捐赠的骨骼收藏和波士顿大学捐赠的骨学收藏的206名白人在北美的现代样本。在当前的分析中没有性别差异。配对样本t检验确定该样本受到统计学上显着水平的双侧不对称性的影响。此外,目前的方法受观察者内部误差低的影响,只有5%的样本受到影响。;将多个关节表面的数据组合起来进行统计分析,以为每个关节创建复合变量。复合变量是每个关节特征的组合,逐步回归证明这是缩小预测间隔的最佳指标。这为左肩,右肩,左臀部,右臀部,左膝盖和右膝盖创建了一系列综合评分。生成90%置信区间的各个预测区间,以为每个综合评分创建年龄范围。还记录了每个综合评分的平均年龄和频率。这种多因素方法表明,左肩和右肩提供了最窄的预测间隔,并且在估计死亡年龄时也具有最高的预测能力。相对预测能力使用R2确定。右肩的R 2值最高,为0.603,紧随其后的是左肩的R2值为0.567。所有其余变量的R2值均小于0.3,表明预测能力较弱;然后将本研究结果与四种传统的宏观老化技术进行比较:缝合闭合,胸骨肋骨末端形态,耳廓表面形态和耻骨联合。样本分布,相关数据,得出的年龄范围和错误率在先前的研究和本研究的结果之间进行了比较。所有年龄估算技术均与年龄呈正相关。使用贝叶斯统计数据或单个预测间隔得出的年龄范围比使用均值置信区间生成的年龄范围更准确,该年龄范围提供的是平均年龄而非实际年龄的信息。 (摘要由UMI缩短。)。

著录项

  • 作者

    Brennaman, Ashley L.;

  • 作者单位

    Boston University.;

  • 授予单位 Boston University.;
  • 学科 Anthropology Medical and Forensic.;Health Sciences Aging.;Biology Physiology.
  • 学位 M.S.
  • 年度 2014
  • 页码 140 p.
  • 总页数 140
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:37

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