Literature DB >> 26073638

Wealth, health and frailty in industrial-era London.

Sharon N DeWitte1, Gail Hughes-Morey2, Jelena Bekvalac3, Jordan Karsten4.   

Abstract

BACKGROUND: Socioeconomic status is a powerful predictor of mortality in living populations, as status affects exposure or access to a variety of factors that impact health and survival, such as diet, healthcare, infectious disease and pollution. AIM: This study examines the effect of socioeconomic status on mortality and survival in London during a period spanning the early 18th through mid-19th centuries. During this period, London experienced rapid industrialization and heightened class distinctions. This study examines whether low-socioeconomic status was associated with reduced survival at a time when the distinctions between social strata were peaking. SUBJECTS AND METHODS: The samples for this study are drawn from three skeletal assemblages in London that represent lower and higher social strata. The upper socioeconomic status sample (n = 394) is from Chelsea Old Church and St Bride's Fleet Street (crypt assemblage). The low socioeconomic status sample (n = 474) is from St. Bride's Lower Churchyard (also known as St Bride's Farringdon Street). The effect of status on mortality and survival is assessed using hazard analysis and Kaplan-Meier analysis.
RESULTS: The results reveal elevated mortality and reduced survival for lower socioeconomic status children, but no strong effect of status on adult mortality or survival.
CONCLUSION: These results might indicate strong selective mortality operating during childhood or the effects of migration in the industrial-era population of London.

Entities:  

Keywords:  Hazard analysis; industrialization; paleodemography; socioeconomic status; survival and mortality differentials

Mesh:

Year:  2015        PMID: 26073638     DOI: 10.3109/03014460.2015.1020873

Source DB:  PubMed          Journal:  Ann Hum Biol        ISSN: 0301-4460            Impact factor:   1.533


  6 in total

1.  Dedicated Followers of Fashion? Bioarchaeological Perspectives on Socio-Economic Status, Inequality, and Health in Urban Children from the Industrial Revolution (18th-19th C), England.

Authors:  S L Newman; R L Gowland
Journal:  Int J Osteoarchaeol       Date:  2016-05-31

2.  Frail or hale: Skeletal frailty indices in Medieval London skeletons.

Authors:  Kathryn E Marklein; Douglas E Crews
Journal:  PLoS One       Date:  2017-05-03       Impact factor: 3.240

3.  Multidisciplinary investigations of the diets of two post-medieval populations from London using stable isotopes and microdebris analysis.

Authors:  Madeleine Bleasdale; Paola Ponce; Anita Radini; Andrew S Wilson; Sean Doherty; Patrick Daley; Chloe Brown; Luke Spindler; Lucy Sibun; Camilla Speller; Michelle M Alexander
Journal:  Archaeol Anthropol Sci       Date:  2019-08-16       Impact factor: 1.989

4.  Ordinal Logistic Regression Analysis in Determining Factors Associated with Socioeconomic Status of Household in Tepi Town, Southwest Ethiopia.

Authors:  Mesfin Esayas Lelisho; Abebe Argaw Wogi; Seid Ali Tareke
Journal:  ScientificWorldJournal       Date:  2022-02-03

5.  Health effects of European colonization: An investigation of skeletal remains from 19th to early 20th century migrant settlers in South Australia.

Authors:  Angela Gurr; Jaliya Kumaratilake; Alan Henry Brook; Stella Ioannou; F Donald Pate; Maciej Henneberg
Journal:  PLoS One       Date:  2022-04-06       Impact factor: 3.240

6.  "The dead shall be raised": Multidisciplinary analysis of human skeletons reveals complexity in 19th century immigrant socioeconomic history and identity in New Haven, Connecticut.

Authors:  Gary P Aronsen; Lars Fehren-Schmitz; John Krigbaum; George D Kamenov; Gerald J Conlogue; Christina Warinner; Andrew T Ozga; Krithivasan Sankaranarayanan; Anthony Griego; Daniel W DeLuca; Howard T Eckels; Romuald K Byczkiewicz; Tania Grgurich; Natalie A Pelletier; Sarah A Brownlee; Ana Marichal; Kylie Williamson; Yukiko Tonoike; Nicholas F Bellantoni
Journal:  PLoS One       Date:  2019-09-09       Impact factor: 3.240

  6 in total

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