Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Open Access Dissertations and Theses Community
  3. Open Access Dissertations and Theses
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/32572
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorProwse, Tracy-
dc.contributor.authorPropst, Akacia-
dc.date.accessioned2025-10-22T19:49:27Z-
dc.date.available2025-10-22T19:49:27Z-
dc.date.issued2025-
dc.identifier.urihttp://hdl.handle.net/11375/32572-
dc.descriptionSandwich Thesisen_US
dc.description.abstractThis 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.isoenen_US
dc.subjectSyndemic Theoryen_US
dc.subjectDietary Stable Isotopesen_US
dc.subjectMortality Risken_US
dc.subjectNonspecific Stressen_US
dc.subjectPaleopathologyen_US
dc.subjectOsoren_US
dc.subjectMiddle Agesen_US
dc.subjectMiddle Agesen_US
dc.titleHealth's Wayward Sisters: Applying Syndemic Models to the Analysis of Diet, Nonspecific Stress, and Mortalityen_US
dc.title.alternativeApplying Syndemic Models to Bioarchaeological Researchen_US
dc.typeThesisen_US
dc.contributor.departmentAnthropologyen_US
dc.description.degreetypeDissertationen_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
dc.description.layabstractThis 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 SizeFormat 
Propst_Akacia_2025Oct_PhD.pdf
Open Access
4.55 MBAdobe PDFView/Open
Show simple item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue