Maternal Prepregnancy Body Mass Index and Small for Gestational Age Births in Chinese Women

Bin Zhang, Shaoping Yang, Rong Yang, Jing Wang, Shengwen Liang, Ronghua Hu, Hong Xian, Ke Hu, Yimin Zhang, Nancy L. Weaver, Hongming Wei, Michael G. Vaughn, Hui Peng, Brian B. Boutwell, Zhen Huang, Zhengmin Qian

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Background: Both high and low prepregnancy body mass index (BMI) has been associated with small for gestational age births (SGA; birthweight below the population specific 10th centile for the gestational age), but results remain inconsistent. We examined the association between maternal BMI and SGA, and evaluated if the associations were modified by preterm birth (being born prior to 37 weeks) status. Methods: A population-based cohort study was conducted in Wuhan, China from June 2011, to June 2013. Women who delivered a non-malformed livebirth (n = 76 695) were included using the Wuhan Maternal and Child Health Management Information System. Log-binomial regression models were used to analyse the associations between prepregnancy BMI, categorized using thresholds adapted to the Chinese population, and SGA. Stratified analyses were used to examine the relationship of prepregnancy BMI to preterm-SGA and term-SGA. Results: Of the 76 695 live births, 3058 (4.0%) were delivered preterm. For babies born at term, prepregnancy underweight (<18.5 kg/m2) was associated with an increased risk of SGA, the adjusted risk ratio (RR) was 1.41 (95% confidence interval (CI) 1.33, 1.49), whereas, being overweight (24.0–27.9 kg/m2) was associated with a decreased risk (RR 0.84, 95% CI 0.74, 0.94). For babies born preterm, prepregnancy underweight was not associated with risk of SGA, but being overweight was associated with an increased risk (RR 1.57, 95% CI 1.04, 2.35). Conclusions: These data suggest that the association of overweight and underweight prepregnancy BMI and SGA differs depending on whether the baby is full term or preterm.

Original languageEnglish (US)
Pages (from-to)550-554
Number of pages5
JournalPaediatric and Perinatal Epidemiology
Volume30
Issue number6
DOIs
StatePublished - Nov 1 2016

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Pediatrics, Perinatology, and Child Health

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