Literature DB >> 25854788

Choosing the Best Newborn Anthropometric Measure Associated With the Risks and Outcomes of Intrauterine Growth Restriction.

XiaoPing Lei1, YongJun Zhang2, Fang Fang3, Ting Wu3, Yan Chen3, Jun Zhang4.   

Abstract

Intrauterine growth restriction (IUGR) is associated with various prenatal risks and postnatal adverse outcomes. The aim of this study is to choose the most sensitive newborn anthropometric measure, which is closely associated with IUGR-related risks and outcomes, to substitute IUGR after delivery. Data were obtained from the Collaborative Perinatal Project, a multicenter prospective cohort study in the United States from 1959 to 1976. Maternal heavy smoking and severe hypertensive disorders during pregnancy, neonatal polycythemia and hypothermia, low intelligence quotient (<70) at age 7 years were chosen as IUGR-related risks and outcomes. Eight anthropometric measures at birth were tested by logistic regression model. Birth weight-to-head circumference (W/HC) had the largest odds ratio (OR) for neonatal polycythemia (OR = 1.8, 95% confidence interval [CI] = 1.5-2.0), severe hypertensive disorders (OR = 1.9, 95% CI = 1.5-2.2), and maternal heavy smoking (OR = 1.9, 95% CI = 1.7-2.1) during pregnancy. It also had the highest summary OR (9.3). Thus, W/HC may be a good measure for IUGR.
© The Author(s) 2015.

Entities:  

Keywords:  anthropometry; birth weight; cohort study; intrauterine growth retardation; newborn

Mesh:

Year:  2015        PMID: 25854788     DOI: 10.1177/0009922815579688

Source DB:  PubMed          Journal:  Clin Pediatr (Phila)        ISSN: 0009-9228            Impact factor:   1.168


  2 in total

1.  Chest circumference in full-term newborns: how can it be predicted?

Authors:  Ingrid G Azevedo; Norrara S O Holanda; Nivia M R Arrais; Raweny T G Santos; Ana G F Araujo; Silvana A Pereira
Journal:  BMC Pediatr       Date:  2019-09-26       Impact factor: 2.125

2.  Effects of maternal smoking on body size and proportions at birth: a register-based cohort study of 1.4 million births.

Authors:  Isabell Rumrich; Kirsi Vähäkangas; Matti Viluksela; Mika Gissler; Hanna de Ruyter; Otto Hänninen
Journal:  BMJ Open       Date:  2020-02-25       Impact factor: 2.692

  2 in total

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