Samantha M. Hens

The study of human skeletal remains from historic contexts is uniquely positioned to explore inequality over time by linking the underlying sociocultural factors that enforce marginalization with lived experiences and health outcomes. We analyzed mortality rates among historic individuals of low socioeconomic status from a documented human skeletal collection, to examine how culture and identity become biologically embodied. Because pre-existing health conditions affect mortality risk, we examined whether individuals with short stature experienced earlier mortality. Kaplan–Meier analyses and log rank tests indicated significant differences in survivorship over time and among social race groups, indicating that African American individuals showed significantly higher mortality, but no sex differences were observed within population groups. Logistic regressions tested for the effects of age-at-death, combined sex and population group, and birthdate on the outcome of bone length. Age and birthdate were not significant, suggesting no relationship between short stature and age-at-death, which also did not change over time. However, odds ratios indicated fewer African Americans were surviving up to adulthood. While many individuals in the collection likely suffered some poverty and marginalization, survivorship was significantly worse for African Americans. The likely effects of systematic racism resulting in further socioeconomic marginalization significantly affected the health of the African American community.

Background/Objectives: The identification of a decedent through skeletal analysis is dependent on accurate estimation of demographic characteristics, including biological sex. The most well-known sex estimation technique using the pubic bone is the Phenice method. In 2012, it was revised by Klales and colleagues and a logistic regression equation to predict sex was applied. Later, a program that estimates sex from Klales’ scoring with a random forest model, MorphoPASSE, was developed by Klales. Methods: Here we compare the accuracy of the original and revised methods, along with MorphoPASSE, using a contemporary sample of Northern Italians with documented sex. We further test the assertions by Phenice that his method is easy to employ for new observers and that ambiguity can be applied when characteristics do not morphologically fit into the categories of the method. Accuracy, error, bias, sensitivity, and specificity were calculated for each approach, along with McNemar’s tests for paired data, which compared documented sex and estimated sex. A linear weighted Cohen’s Kappa measured the differences in scoring between a new observer and an experienced observer. Results: Phenice’s method achieved higher accuracy (97%) than the Klales method and MorphoPASSE (86% each), as well as higher sensitivity and specificity, and lower error and bias. All McNemar’s tests conducted were not significant. The new observer demonstrated a similar accuracy (93%) to the experienced observer (97%). Furthermore, comparisons of Phenice’s scoring with ambiguity indicate its superior performance for capturing variation over the Klales method and MorphoPASSE. Conclusions: Phenice’s method is recommended in forensic anthropology and bioarchaeological contexts, particularly in Milan.

Age estimation from human skeletal remains is a critical component of the biological profile for unidentified decedents. Using a Bayesian approach, we examine two popular methods (Lovejoy–LJ, and Buckberry zand Chamberlain–BC) for estimating age from the auricular surface of the ilium. Ages of transition are generated from a modern Portuguese skeletal sample (n = 466) and are coupled with an informative prior from historic Spitalfields, London (n = 179) to estimate age in a sample of modern Americans from the Bass Donated collection (n = 639). The Bass collection was challenging to statistically model, potentially due to higher morbidity and mortality characteristics of the central southern United States. The highest posterior density ranges provide a realized accuracy between 84–89% for males and 85–91% for females using the LJ method, and a realized accuracy between 79–82% for males and 65–71% for females using the BC method. Both methods worked well for older individuals. Cumulative binomials showed that both methods significantly underperformed; however, results were better for the LJ method, which also showed lower bias. Reference tables for aging modern American samples are provided, and the data meet Daubert guidelines, i.e., legal criteria for acceptable scientific evidence in a court of law in the United States.

This research examined the relationship between linear enamel hypoplasia (LEH) and stature in medieval and postmedieval London cemeteries to determine whether individuals with LEH in their permanent dentition also exhibited shorter stature. Pathological and metric data for 87 adult individuals from the medieval East Smithfield Black Death cemetery and 136 adult individuals from the postmedieval St. Bride's Lower Churchyard Cemetery were used in this study. A two‐way ANOVA, a component of the general linear model (GLM), was run to compare LEH prevalence to maximum femoral length, while accounting for time period and sex. The results showed a significant association in both samples between presence of LEH and femur length in males. The association did not differ between cemeteries, indicating no temporal change in the relationship. Examination of the distribution suggests the association was stronger in males than in females, a possible indication of superior female buffering in these samples. This research provides a look at how environmental stressors in childhood may have permanent effects on growth in past populations while also attempting to better understand how males and females may differ in buffering against episodes of stress.

Objectives: Many individuals living in medieval and post‐medieval London suffered issues with sanitation, food insecurity, infectious disease, and widespread exposure to parasites from a multitude of sources, causing increased risk of death for many inhabitants. We examine this stressful environment and its relationship with various demographic and temporal dimensions, using cribra orbitalia (CO) as an indicator of stress, to model an increased risk of dying under the expectations of our proposed parasitic model of infection.Materials and methods: We analyze the relationship between CO and mortality across seven medieval and post‐medieval cemeteries from London by the covariates of sex, status, and age‐at‐death. A survival analysis (Cox regression) and a binomial logit estimated hazard and odds ratios of dying with CO across age‐at‐death, sex, status, and time‐period within single statistical models. In addition, we provide new Bayesian age‐at‐death estimates for post‐medieval samples.Results: The models show the rate of CO decreased over time and age‐at‐death, regardless of sex or status; post‐medieval individuals were ~72% less likely to die with lesions than their medieval counterparts. Further, individuals with CO had ~1% decrease in risk of dying with CO per year of age.Discussion: These results suggest increased mortality risk for those with lesions indicative of anemia (CO), and selective mortality of younger individuals during the medieval period. Despite sex‐specific nutritional and occupational hazards, and status‐based access to resources, the prevalence of CO was similar across sex and status, which suggests living with parasitic infection that caused anemia was an everyday reality for medieval and post‐medieval Londoners.

Palatal suture fusion has seen little testing and/or application due in part to an inadequately described relationship to formal age ranges. This study presents a modified scoring method that examines fusion on samples of modern documented adult males and compares two Bayesian approaches to age estimation. In the first analysis, American and Portuguese collections were used to derive univariate and multivariate transition analysis (TA) parameters, which combined with an informative prior, estimated age in a sample of modern Americans and Portuguese. For the second analysis, a Bayesian multiple linear regression (BMLR) used indicator statuses as the independent variables with age as the dependent variable. Highest posterior density regions (HPDRs) and highest posterior density intervals (HDI) were calculated for a holdout sample. Final age estimates for the methods were tested for accuracy using cumulative binomial tests at 75% and 90% coverages. The HPDRs from multivariate TA captured age better for younger individuals, but consistently underaged. The cumulative binomial tests on the BMLR results indicated the prediction intervals performed as expected, and we show they are narrower (more precise) and/or more accurate than the corresponding HPDR. The modified method presented here formally links palatal suture obliteration to age using two different approaches, one of which (BMLR) is new to the aging literature. The BMLR provided results free from bias and more reasonable age ranges while maintaining accuracy. We present a look‐up table and a free, simple R file for users to download and run their own estimates with BMLR.

Portugal underwent significant political, demographic and epidemiological transitions during the 20^th century resulting in migration to urban areas with subsequent overcrowding and issues with water sanitation. This study investigates population health during these transitions and interprets results within a framework of recent history and present-day public health information. We investigate skeletal evidence for anemia (cribra orbitalia and porotic hyperostosis) as indicators of stress and frailty–i.e., whether the lesions contribute to susceptibility for disease or increased risk of death. The presence and severity of skeletal lesions were compared against known sex and cause of death data to investigate potential heterogeneity in frailty and the relationship between lesions and risk of dying over time. Additionally, we tested for the presence of selective mortality in our data (i.e., whether or not the sample is biased for individuals with higher frailty). Our sample derives from a large, documented, modern Portuguese collection from Lisbon and is the first study of its kind using a documented collection. The collection represents primarily middle-class individuals. Analyses indicated that porotic hyperostosis became more common and severe over time, while cribra orbitalia severity increased over time. Neither process was linked to cause of death. However, there was a significant relationship to sex; males exhibited a higher prevalence and severity of lesions and increased mortality. A Gompertz function showed decreased survivorship in early life but increased survivorship over age 60. Using comorbidities of anemia, we were unable to detect selective mortality–i.e., in our sample, lesions do not represent a sign of poor health or increased frailty and are not significantly linked with a decreased mean age-at-death. However, lesion prevalence and severity do reflect the socioeconomic processes in urban Lisbon during the 1800s and 1900s and the possibility of water-borne parasites as the contributing factor for iron deficiency anemia.

Ancient Roman populations are expected to exhibit considerable biological variation because of extensive trade networks and migration patterns throughout Europe and the circum‐Mediterranean. The purpose of this research is to examine regional biological variation in Italy during imperial Roman times (1st to 3rd centuries ad) using three samples exhibiting distinctive class and economic systems. The individuals buried at Isola Sacra and Velia represent middle‐class tradesmen and merchants from coastal port populations from Central and Southern Italy, respectively, while the individuals from Castel Malnome represent an inland population near Rome of freed slaves and other lower‐class individuals involved in heavy labour associated with salt production. Data were recorded from 25 three‐dimensional cranial coordinate landmarks and analysed using Procrustes superimposition and associated multivariate statistics in MorphoJ.Procrustes analysis of variance statistics were unable to detect any significant group differences for centroid size (p = 0.595), but did detect differences in shape (p = 0.0154), suggesting some variation between the three samples. Canonical variates analyses based on Procrustes distance values suitable for small sample sizes indicated that while Castel Malnome was not significantly different from either of the coastal sites (Isola Sacra, p = 0.2071 and Velia, p = 0.8015), Isola Sacra and Velia were significantly different (p = 0.0119). The similarity of Castel Malnome to the other sites may reflect inherent heterogeneity in the sample, as it represents a group of freed slaves likely originating from various geographic locations. The separation of the two coastal sites is not unexpected, as Velia's location was influenced by an influx of Greek populations in the southern Italian Peninsula. This work supports previous studies using traditional craniometrics and dental metrics showing group similarity across the Italian Peninsula and a separation between more northern and southern groups. Copyright © 2017 John Wiley & Sons, Ltd.

Modern standards in forensic anthropology require rigorous testing and evaluation of methods used for aging skeletal remains. Age estimation has been criticized for bias, inaccuracy, and population specificity; issues which are minimized by the application of Bayesian methodology. Using Bayesian statistics, we compare the Lovejoy et al. (Am J Phys Anthropol, 68, 1985, 15) (original) and Buckberry and Chamberlain (Am J Phys Anthropol, 119, 2002, 231) (revised) auricular surface aging methods. Transition analysis parameters derived from American males (n = 372), in combination with a Thai male (N = 37) informative prior, statistically model age in Portuguese males (n = 221). Cumulative binomial tests assess the accuracy of the generated age ranges. Overall, the application of transition analysis and Bayesian statistics significantly improved age estimation with both methods (also outperforming Suchey‐Brooks pubic symphysis aging). Moreover, the accuracy of the original method was low without statistical modeling, whereas the revised method can be applied accurately without further statistical analysis. Additionally, reference tables for aging Portuguese males are provided.