Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/32572
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Prowse, Tracy | - |
dc.contributor.author | Propst, Akacia | - |
dc.date.accessioned | 2025-10-22T19:49:27Z | - |
dc.date.available | 2025-10-22T19:49:27Z | - |
dc.date.issued | 2025 | - |
dc.identifier.uri | http://hdl.handle.net/11375/32572 | - |
dc.description | Sandwich Thesis | en_US |
dc.description.abstract | This thesis explores how the application of syndemic theory in bioarchaeological research necessitates a shift in the reductionist analytical frameworks that inform research, the impacts of this, and how this framework can be broadly operationalized and applied in bioarchaeological research. A syndemic model underlines the interconnected and interactive nature of health-related conditions and thus offers a more integrative and dynamic approach to interpreting health data from the past. Chapter 2 outlines the implications of adopting a syndemic model, demonstrating how it can generate new research questions and insights by shifting current discrete, reductionist analytical frameworks to more inclusive ones, and outlining how we can start applying these frameworks in bioarchaeological research broadly. Chapters 3 and 4 demonstrate how syndemic models can be applied to commonly analyzed bioarchaeological data, reify the benefits of this approach, and how it can be operationalized. This is done via multivariable statistical analyses to examine intra-population variation in diet, nonspecific stress, and mortality in the medieval (10th-16th centuries CE) osteological sample from Osor, Croatia. The results reveal that multivariable approaches more effectively capture the interrelated nature of health data than traditional bivariate methods, uncovering nuanced patterns of interaction and intra-population variation. Notably, the monastic individuals at Osor exhibited distinct dietary practices and higher rates of nonspecific skeletal lesions yet did not experience reduced mortality typically associated with medieval monastic communities. In contrast, privileged lay individuals showed increased frailty despite their more protein and/or marine-rich diets. One area of the cemetery, Sector 6, emerged as a potentially distinct subgroup based on distinctive isotopic and demographic patterns. The results in Chapters 3 and 4 underscore the value of syndemic models and multivariable analyses in uncovering complex health dynamics and offer a replicable framework for future syndemic-oriented research in bioarchaeology and related disciplines. | en_US |
dc.language.iso | en | en_US |
dc.subject | Syndemic Theory | en_US |
dc.subject | Dietary Stable Isotopes | en_US |
dc.subject | Mortality Risk | en_US |
dc.subject | Nonspecific Stress | en_US |
dc.subject | Paleopathology | en_US |
dc.subject | Osor | en_US |
dc.subject | Middle Ages | en_US |
dc.subject | Middle Ages | en_US |
dc.title | Health's Wayward Sisters: Applying Syndemic Models to the Analysis of Diet, Nonspecific Stress, and Mortality | en_US |
dc.title.alternative | Applying Syndemic Models to Bioarchaeological Research | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Anthropology | en_US |
dc.description.degreetype | Dissertation | en_US |
dc.description.degree | Doctor of Philosophy (PhD) | en_US |
dc.description.layabstract | This research explores how syndemic models can be used to investigate interactions among health, diet, and social factors, and improve bioarchaeological understanding of past populations. Syndemic models underline that health-related conditions can interact to produce synergistically worse health outcomes in specific socio-historical environments. Syndemic analysis of a medieval (10th-16th c. CE) Croatian skeletal sample using integrative statistical methods revealed patterns missed by traditional analysis, such as different diets and health outcomes among monks compared to laypeople buried in the cemetery. These results demonstrate that changes to bone related to stress, what someone ate, and how long they lived are deeply interconnected, and different patterns can be linked to a person’s role in medieval society. Viewing different indicators of health as interconnected enriches our knowledge of ancient lives and guides future bioarchaeological research. | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Propst_Akacia_2025Oct_PhD.pdf | 4.55 MB | Adobe PDF | View/Open |
Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.