Back to Search Start Over

Gestational Weight Gain-for-Gestational Age Z-Score Charts Applied across U.S. Populations.

Authors :
Leonard, Stephanie A.
Hutcheon, Jennifer A.
Bodnar, Lisa M.
Petito, Lucia C.
Abrams, Barbara
Source :
Paediatric & Perinatal Epidemiology; Mar2018, Vol. 32 Issue 2, p161-171, 11p
Publication Year :
2018

Abstract

<bold>Background: </bold>Gestational weight gain may be a modifiable contributor to infant health outcomes, but the effect of gestational duration on gestational weight gain has limited the identification of optimal weight gain ranges. Recently developed z-score and percentile charts can be used to classify gestational weight gain independent of gestational duration. However, racial/ethnic variation in gestational weight gain and the possibility that optimal weight gain differs among racial/ethnic groups could affect generalizability of the z-score charts. The objectives of this study were (1) to apply the weight gain z-score charts in two different U.S. populations as an assessment of generalisability and (2) to determine whether race/ethnicity modifies the weight gain range associated with minimal risk of preterm birth.<bold>Methods: </bold>The study sample included over 4 million live, singleton births in California (2007-2012) and Pennsylvania (2003-2013). We implemented a noninferiority margin approach in stratified subgroups to determine weight gain ranges for which the adjusted predicted marginal risk of preterm birth (gestation <37 weeks) was within 1 or 2 percentage points of the lowest observed risk.<bold>Results: </bold>There were minimal differences in the optimal ranges of gestational weight gain between California and Pennsylvania births, and among several racial/ethnic groups in California. The optimal ranges decreased as severity of prepregnancy obesity increased in all groups.<bold>Conclusions: </bold>The findings support the use of weight gain z-score charts for studying gestational age-dependent outcomes in diverse U.S. populations and do not support weight gain recommendations tailored to race/ethnicity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02695022
Volume :
32
Issue :
2
Database :
Complementary Index
Journal :
Paediatric & Perinatal Epidemiology
Publication Type :
Academic Journal
Accession number :
129078059
Full Text :
https://doi.org/10.1111/ppe.12435