Sylvia Reis Gonçalves Nehab, Letícia D. Villela, Andrea D. Abranches, Daniele M. Rocha, Leila M.L. da Silva, Yasmin N.V. Amaral, Saint Clair G. Junior, Fernanda V.M. Soares, Maria Dalva Barborsa Beker Méio, Maria Elisabeth L. Moreira
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引用次数: 0
Abstract
Objective
To evaluate the influence of gestational and perinatal factors on body composition and birth weight of full‐term newborns.
Method
This was a cross‐sectional study, within a prospective cohort, consisting of 124 postpartum women and their newborns. Data included the following: maternal age; ethnicity; pre‐gestational body mass index; gestational weight gain; parity; gestational morbidities (hypertension and gestational diabetes mellitus); gestational age at birth; birth weight; and newborn's gender. Anthropometric and body composition data of the newborns were collected using air‐displacement plethysmography (PeaPod® Infant Body Composition System–LMI; Concord, CA, USA). The stepwise technique was applied to a multiple linear regression model.
Results
The significant variables in the model that explained 84% of the variation in neonatal fat‐free mass were: birth weight; maternal age; newborn's gender and gestational age. For body fat mass: birth weight; newborn's gender; gestational arterial hypertension; gestational diabetes; and gestational weight gain. These variables explained 60% and 46% of fat mass, in grams and as a percentage, respectively. Regarding birth weight, the significant factors were gestational age, pre‐gestational BMI, and gestational weight gain. Female newborns showed higher body fat mass and male newborns had higher fat‐free mass.
Conclusion
Gestational and perinatal factors influence neonatal body composition. Early identification of these gestational factors, which may be modifiable, is necessary to prevent obesity and chronic noncommunicable diseases in the future.
目的探讨妊娠期及围生期因素对足月新生儿体成分和出生体重的影响。方法这是一项横断面研究,在前瞻性队列中,包括124名产后妇女及其新生儿。数据包括:产妇年龄;种族的;孕前体重指数;妊娠期体重增加;奇偶性;妊娠发病率(高血压和妊娠糖尿病);出生时胎龄;出生体重;以及新生儿的性别。采用空气置换体积脉搏仪(PeaPod®Infant body composition System-LMI)收集新生儿的人体测量和身体成分数据;康科德,加州,美国)。将逐步回归技术应用于多元线性回归模型。结果该模型中能够解释84%新生儿无脂质量变化的显著变量为:出生体重;母亲的年龄;新生儿性别和胎龄。体脂量:出生体重;新生儿的性别;妊娠期高血压;妊娠期糖尿病;妊娠期体重增加。这些变量分别解释了60%和46%的脂肪量(以克数和百分比计算)。关于出生体重,重要因素是胎龄、孕前BMI和妊娠期体重增加。女性新生儿体脂质量较高,男性新生儿无脂质量较高。结论妊娠期和围产期因素影响新生儿体成分。早期识别这些可能是可改变的妊娠因素对于将来预防肥胖和慢性非传染性疾病是必要的。