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首页> 外文期刊>The journal of maternal-fetal & neonatal medicine >Identification of small for gestational age by population-based and customized growth charts in newborns of obese and normal-weight primiparous women
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Identification of small for gestational age by population-based and customized growth charts in newborns of obese and normal-weight primiparous women

机译：通过基于人群和定制的生长图在肥胖和体重正常的初产妇女的新生儿中确定适合胎龄的小婴儿

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Objective: Our hypothesis was that newborns of obese mothers would be more likely to be classified as small for gestational age (SGA) by their customized growth curves than by the standard growth curves when compared to newborns of normal-weight mothers.Methods: This is a retrospective cohort of primiparous patients delivering between 1 July 2008 and 30 June 2012. Normal-weight was defined as BMI25kg/m(2) and obese as BMI30kg/m(2). Infant birth-weight was characterized as SGA or non-SGA from the Lubchenco curve, the Fenton Preterm Growth Chart, and the customized growth curve.Results: Infants were more likely to be classified as SGA on the customized curve compared with Lubchenco curve. Odds ratio was 2.8 (CI: 1.7-4.4; p=0.001) for obese women and was 2.9 (CI: 1.7-5.1; p<0.001) for normal-weight women. Infants were also more likely to be classified as SGA based on the customized curve compared with the Fenton Preterm Growth Curve. The odds ratio was 2.3 (CI: 1.4-3.8; p=0.001) for obese women and was 1.5 (CI: 1.01-2.33; p=0.04) for normal-weight women.Conclusions: Population-based curves may mask SGA in obese women. Our study demonstrates that customized growth curves identify more SGA than population-based growth curves in obese and normal-weight women.
机译：目的：我们的假设是，与正常体重母亲的新生儿相比，肥胖母亲的新生儿根据其自定义生长曲线比按标准生长曲线更可能被归为小胎龄（SGA）。在2008年7月1日至2012年6月30日期间分娩的初产患者的回顾性队列。正常体重定义为BMI25kg / m（2），肥胖者定义为BMI30kg / m（2）。根据Lubchenco曲线，Fenton早产图和定制的生长曲线，婴儿出生体重被定为SGA或非SGA。结果：与Lubchenco曲线相比，定制曲线上的婴儿更有可能被分类为SGA。肥胖女性的几率是2.8（CI：1.7-4.4; p = 0.001），体重正常的女性是2.9（CI：1.7-5.1; p <0.001）。与Fenton早产曲线相比，根据定制曲线，婴儿也更有可能被归类为SGA。肥胖女性的比值比为2.3（CI：1.4-3.8; p = 0.001），而体重正常的女性为1.5（CI：1.01-2.33; p = 0.04）。结论：基于人群的曲线可能掩盖了肥胖中的SGA。女人。我们的研究表明，在肥胖和体重正常的女性中，定制的增长曲线比基于人群的增长曲线识别出更多的SGA。

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