Determining optimal gestational weight gain in a multiethnic Asian population.

Journal Article (Journal Article)

AIM: To define the optimal gestational weight gain (GWG) for the multiethnic Singaporean population. METHODS: Data from 1529 live singleton deliveries was analyzed. A multinomial logistic regression analysis, with GWG as the predictor, was conducted to determine the lowest aggregated risk of a composite perinatal outcome, stratified by Asia-specific body mass index (BMI) categories. The composite perinatal outcome, based on a combination of delivery type (cesarean section [CS], vaginal delivery [VD]) and size for gestational age (small [SGA], appropriate [AGA], large [LGA]), had six categories: (i) VD with LGA; (ii) VD with SGA; (iii) CS with AGA; (iv) CS with SGA; (v) CS with LGA; (vi) and VD with AGA. The last was considered as the 'normal' reference category. In each BMI category, the GWG value corresponding to the lowest aggregated risk was defined as the optimal GWG, and the GWG values at which the aggregated risk did not exceed a 5% increase from the lowest aggregated risk were defined as the margins of the optimal GWG range. RESULTS: The optimal GWG by pre-pregnancy BMI category, was 19.5 kg (range, 12.9 to 23.9) for underweight, 13.7 kg (7.7 to 18.8) for normal weight, 7.9 kg (2.6 to 14.0) for overweight and 1.8 kg (-5.0 to 7.0) for obese. CONCLUSION: The results of this study, the first to determine optimal GWG in the multiethnic Singaporean population, concur with the Institute of Medicine (IOM) guidelines in that GWG among Asian women who are heavier prior to pregnancy, especially those who are obese, should be lower. However, the optimal GWG for underweight and obese women was outside the IOM recommended range.

Full Text

Duke Authors

Cited Authors

  • Ee, TX; Allen, JC; Malhotra, R; Koh, H; Østbye, T; Tan, TC

Published Date

  • April 2014

Published In

Volume / Issue

  • 40 / 4

Start / End Page

  • 1002 - 1008

PubMed ID

  • 24611987

Electronic International Standard Serial Number (EISSN)

  • 1447-0756

Digital Object Identifier (DOI)

  • 10.1111/jog.12307


  • eng

Conference Location

  • Australia