Document Detail

The age pattern of first-birth rates among U.S. women: the bimodal 1990s.
MedLine Citation:
PMID:  15986986     Owner:  NLM     Status:  MEDLINE    
Between 1990 and 2002, the age pattern of Type I first-birth rates (i.e., the hazard of a first birth) among U.S. women was bimodal. This pattern, driven by changing differential fertility patterns among racial and ethnic groups, reached its apex at the mid-1990s and had almost vanished by the decade's end. Research on first-birth timing has tended to focus on Type II first-birth rates and therefore has failed to identify this larger, bimodal pattern. This article presents the benefits of using Type I rates, documents the emergence of the bimodal pattern via two new measures of bimodality, and uses a decomposition analysis to discuss the pattern's causes.
Rachel Sullivan
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Demography     Volume:  42     ISSN:  0070-3370     ISO Abbreviation:  Demography     Publication Date:  2005 May 
Date Detail:
Created Date:  2005-06-30     Completed Date:  2005-07-20     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  0226703     Medline TA:  Demography     Country:  United States    
Other Details:
Languages:  eng     Pagination:  259-73     Citation Subset:  IM    
Graduate Group in Sociology and Demography, University of California, Berkeley, 2232 Piedmont Avenue, Berkeley, CA 94720-2120, USA.
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MeSH Terms
African Americans / education,  statistics & numerical data
Age Distribution
Bias (Epidemiology)
Birth Order
Birth Rate / ethnology,  trends*
Cohort Studies
Data Interpretation, Statistical
Educational Status
European Continental Ancestry Group / education,  statistics & numerical data
Health Transition
Hispanic Americans / education,  statistics & numerical data
Life Tables
Maternal Age*
Middle Aged
Population Surveillance
Regression Analysis
United States
Grant Support

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

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