Evidence map›Paper›PMID 39536101›Full record

ArticleScience advances2024

Frailty or resilience? Hazard-based and cumulative phenotype approaches to discerning signals of health inequality in medieval London.

Samantha L Yaussy, Kathryn E Marklein, Sharon N DeWitte, Douglas E Crews

Abstract readHistorical Article
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. From Optimism to Opportunity: New Perspectives on the Osteological Paradox.American journal of biological anthropology · 2026
    Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Samantha L YaussyDepartment of Sociology and Anthropology, James Madison University, Harrisonburg, VA, USA.ORCID 0000-0001-7069-2637
Kathryn E MarkleinDepartment of Anthropology, University of Louisville, Louisville, KY, USA.ORCID 0000-0002-1959-035X
Sharon N DeWitteDepartment of Anthropology, University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0003-0754-8485
Douglas E CrewsDepartment of Anthropology, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-3321-5898

Funding

University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
NICHD NIH HHS P2C HD066613
6 · The paper itself

Abstract

Bioarchaeology uses human skeletal remains to reconstruct varied experiences of individuals and populations in the past, including patterns of health across time periods and cultural contexts. In the past three decades, bioarchaeological studies have highlighted the concept of "frailty," operationalizing it as increased risk of mortality or cumulative phenotypes. Using data from medieval London cemeteries, we integrate these two approaches to frailty in past populations. First, we estimate the risks of mortality and survivorship (hazard and survival analyses) associated with 10 biomarkers and use these results to construct population-specific frailty and resilience indices. Then, we apply the indices to adult individuals to explore frailty and resilience differentials between males and females in medieval London. Findings suggest that the male-female morbidity-mortality paradox observed in modern populations may not have existed in this context, which may be explained by preferential cultural buffering of men in this patriarchal, urban setting.

Indexed as

PhenotypeAdultBiomarkersFemaleFrailtyHealth Status DisparitiesHistory, MedievalHumansLondonMaleMiddle AgedBiomarkers

Identifiers

PMID39536101
PMCPMC11559611

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.