Literature DB >> 12843776

Meditations on birth weight: is it better to reduce the variance or increase the mean?

David Haig1.   

Abstract

A conceptual model is presented here in which the birth weight distribution is decomposed into a distribution of target weights and a distribution of perturbations from the target. The target weight is the adaptive goal of fetal development. In the simplest model, perinatal mortality is independent of variation in target weight and determined solely by the magnitude of the perturbation of birth weight from the target. In this model, mortality risk is concentrated in the tails of the birth weight distribution. A difference between populations in their distributions of target weights will be associated with a corresponding shift in their curves of weight-specific risk, without any difference between the populations in overall risk. In this model, risk would be reduced by decreasing the variance of the distribution of perturbations. The model is discussed in the context of the so-called "paradoxes of low birth weight."

Mesh:

Year:  2003        PMID: 12843776     DOI: 10.1097/01.EDE.0000070402.42917.f4

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  7 in total

1.  Intersecting birth weight-specific mortality curves: solving the riddle.

Authors:  Olga Basso; Allen J Wilcox
Journal:  Am J Epidemiol       Date:  2009-02-24       Impact factor: 4.897

2.  Mortality risk among preterm babies: immaturity versus underlying pathology.

Authors:  Olga Basso; Allen Wilcox
Journal:  Epidemiology       Date:  2010-07       Impact factor: 4.822

3.  Improvements in Birth Weight-specific Neonatal Mortality Rates in the State of Qatar between 2003 & 2010 and a Comparative Analysis with the Vermont Oxford Network Database Report of 2007: A PEARL Study Review.

Authors:  Khalil M Salameh; Sajjad Ur-Rahman
Journal:  J Clin Neonatol       Date:  2012-01

4.  High birth weight and perinatal mortality among siblings: A register based study in Norway, 1967-2011.

Authors:  Petter Kristensen; Katherine M Keyes; Ezra Susser; Karina Corbett; Ingrid Sivesind Mehlum; Lorentz M Irgens
Journal:  PLoS One       Date:  2017-02-28       Impact factor: 3.240

5.  Optimal birth weight and term mortality risk differ among different ethnic groups in the U.S.

Authors:  Jihyun Jeon; Do-Hyun Kim; Min Soo Park; Chang-Gi Park; Sudhir Sriram; Kwang-Sun Lee
Journal:  Sci Rep       Date:  2019-02-07       Impact factor: 4.379

6.  Maternal age and infant mortality: a test of the Wilcox-Russell hypothesis.

Authors:  Timothy B Gage; Fu Fang; Erin O'Neill; Howard Stratton
Journal:  Am J Epidemiol       Date:  2008-11-21       Impact factor: 4.897

7.  Assessing fetal growth impairments based on family data as a tool for identifying high-risk babies. An example with neonatal mortality.

Authors:  Carsten B Pedersen; Yuelian Sun; Mogens Vestergaard; Jørn Olsen; Olga Basso
Journal:  BMC Pregnancy Childbirth       Date:  2007-11-28       Impact factor: 3.007

  7 in total

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