Document Detail

Are stepmothers evil or simply unskilled? Infant death clustering in recomposed families.
MedLine Citation:
PMID:  23137079     Owner:  NLM     Status:  MEDLINE    
We measure the concentration of infant deaths in families in the historical populations of Krummhörn, Germany and Québec, Canada in order to investigate whether mothers in recomposed families differ regarding their maternal quality. In particular, we are interested in whether stepmothers in Krummhörn are responsible for a diminution in the survival of their stepchildren because they poorly substitute maternal child care or because they disadvantage their stepchildren. The concentrations of infant deaths within the two populations are measured with Lorenz curves and Gini coefficients, and are compared with expected concentrations given by draws from a binomial distribution. Alleged differences between actual and calculated concentrations represent "causal" death clustering. In the Krummhörn region there is little evidence for "causal" death clustering that would indicate variations regarding their maternal quality, whereas Québec mothers exhibit a distinctively higher concentration of infant deaths.
Kai P Willführ; Alain Gagnon
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Publication Detail:
Type:  Historical Article; Journal Article    
Journal Detail:
Title:  Biodemography and social biology     Volume:  58     ISSN:  1948-5565     ISO Abbreviation:  Biodemography Soc Biol     Publication Date:  2012  
Date Detail:
Created Date:  2012-11-09     Completed Date:  2013-03-05     Revised Date:  2013-12-13    
Medline Journal Info:
Nlm Unique ID:  101500303     Medline TA:  Biodemography Soc Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  149-61     Citation Subset:  IM    
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MeSH Terms
Canada / epidemiology
Cause of Death
Cluster Analysis
Family Characteristics / history*
Germany / epidemiology
History, 18th Century
History, 19th Century
Infant Mortality / history*,  trends
Infant, Newborn
Mother-Child Relations*
Mothers / history*,  statistics & numerical data
Socioeconomic Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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