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

Paediatr Perinat Epidemiol. 2018 Mar;32(2):161-171. doi: 10.1111/ppe.12435. Epub 2017 Dec 27.

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

Keywords: ethnic groups; gestational age; growth charts; pregnancy; premature birth; weight gain.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • California / epidemiology
  • Child
  • Data Interpretation, Statistical
  • Female
  • Gestational Age*
  • Humans
  • Obesity / complications
  • Obesity / epidemiology
  • Pennsylvania / epidemiology
  • Pregnancy / statistics & numerical data*
  • Pregnancy Complications / epidemiology
  • Racial Groups / statistics & numerical data
  • Risk Factors
  • Weight Gain*
  • Young Adult