Skip Navigation


American Journal of Epidemiology Advance Access originally published online on February 24, 2009
American Journal of Epidemiology 2009 169(7):798-801; doi:10.1093/aje/kwp025
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
169/7/798    most recent
kwp025v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Related articles in Am. J. Epidemiol.
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Parker, J. D.
Right arrow Articles by Klebanoff, M. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Parker, J. D.
Right arrow Articles by Klebanoff, M. A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Published by the Johns Hopkins Bloomberg School of Public Health 2009.

Invited Commentary

Invited Commentary: Crossing Curves—It's Time to Focus on Gestational Age-specific Mortality

Jennifer D. Parker and Mark A. Klebanoff

Correspondence to Dr. Jennifer D. Parker, Office of Analysis and Epidemiology, National Center for Health Statistics, 3311 Toledo Road, Hyattsville, MD 20782 (e-mail: jdparker{at}cdc.gov).

Received for publication October 21, 2008. Accepted for publication January 7, 2009.

For decades, epidemiologists have observed that, among lower birth weight infants, higher risk infants have lower mortality rates than do lower risk infants. However, among higher birth weight infants, the pattern reverses, leading to a riddle of crossing birth weight-specific mortality curves. The riddle has been considered from different perspectives, including relative z scores, directed acyclic graphs, and, most recently, simulated mathematical models of underlying causal factors that produce the observed curves; similarly paradoxical gestational age-specific mortality curves uncross when calculations include all fetuses-at-risk rather than just infants delivered at a particular gestational age. However, researchers have generally focused on birth weight rather than gestational age, likely because birth weight is accurately measured and, if one assumes that birth weight is an intermediate variable between the underlying causal factors and mortality, is easier to model. Within the framework of existing analytical approaches, adding the complexity of a direct relation between gestational age and mortality, and possibly more complex relations among the casual factors, may be difficult. Nevertheless, duration of pregnancy seems a better proxy for the true construct of interest, whether the baby is mature enough to survive, so shifting attention to understanding the riddle of gestational age-specific mortality is encouraged.

birth weight; directed graph; gestational age; infant mortality


Abbreviations: DAG, directed acyclic graph


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?

Related articles in Am. J. Epidemiol.:

Intersecting Birth Weight-specific Mortality Curves: Solving the Riddle
Olga Basso and Allen J. Wilcox
Am. J. Epidemiol. 2009 169: 787-797. [Abstract] [Full Text]  





Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.