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.
|Number of pages||5|
|Journal||Paediatric and Perinatal Epidemiology|
|Publication status||Published - 2016 Nov 1|
Bibliographical noteFunding Information:
This research was conducted under contract with the Health Effects Institute (4791-RFA09-2/10-5) and The Hubei Province Natural Science Foundation, China (2010CDB08803). We also thank the staff at district and community child health hospitals and centers for the data collection.
© 2016 John Wiley & Sons Ltd
All Science Journal Classification (ASJC) codes
- Pediatrics, Perinatology, and Child Health