Department of Obstetrics and Gynecology, University of South Florida, Tampa, USA.
Arch Gynecol Obstet. 2009 Oct;280(4):579-84. doi: 10.1007/s00404-009-0965-8. Epub 2009 Feb 14.
To estimate the frequency of fetal programming phenotypes among women with low BMI and the success of these programming patterns-to determine if small for gestational age (SGA) is a biologically adaptive mechanism to improve chances for infant survival.
We examined the frequency of fetal programming phenotypes: SGA, large for gestational age (LGA), and adequate for gestational age (AGA) among 1,063,888 singleton live births from 1978 to 1997. We also estimated the success of fetal programming phenotypes using neonatal death as the primary study outcome.
Underweight gravidas with AGA and LGA babies had elevated risk of neonatal mortality when compared to normal weight mothers, while the risk for neonatal mortality among mothers with SGA babies was reduced.
The variation in relative degrees of fetal programming patterns and success observed suggests that underweight mothers are more likely to succeed in programming SGA fetuses rather than any other phenotype.
评估低 BMI 孕妇中胎儿编程表型的频率，以及这些编程模式的成功率，以确定胎儿生长受限（SGA）是否是一种提高婴儿生存机会的生理适应机制。
我们检查了 1978 年至 1997 年间 1063888 例单胎活产儿中胎儿编程表型的频率：SGA、大于胎龄儿（LGA）和适于胎龄儿（AGA）。我们还使用新生儿死亡作为主要研究结果来估计胎儿编程表型的成功率。
与正常体重母亲相比，体重不足的孕妇如果婴儿为 AGA 和 LGA，其新生儿死亡率风险增加，而 SGA 婴儿母亲的新生儿死亡率风险降低。
观察到的胎儿编程模式和成功的相对程度的变化表明，体重不足的母亲更有可能成功地编程 SGA 胎儿，而不是其他任何表型。
