Instituto Nacional de Saúde da Mulher, da Criança e do Adolescente, Instituto Fernandes Figueira (IFF), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil.
Instituto Nacional de Saúde da Mulher, da Criança e do Adolescente, Instituto Fernandes Figueira (IFF), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil.
J Pediatr (Rio J). 2020 Nov-Dec;96(6):771-777. doi: 10.1016/j.jped.2019.09.006. Epub 2019 Nov 9.
To evaluate the influence of gestational and perinatal factors on body composition and birth weight of full-term newborns.
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.
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.
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.
评估妊娠和围产期因素对足月新生儿身体成分和出生体重的影响。
这是一项横断面研究,纳入了一个前瞻性队列中的 124 名产后妇女及其新生儿。数据包括:母亲年龄;种族;孕前体重指数;妊娠体重增加;产次;妊娠合并症(高血压和妊娠期糖尿病);出生时的胎龄;出生体重;以及新生儿的性别。使用空气置换体描仪(PeaPod®婴儿身体成分系统-LMI;康科德,加利福尼亚州,美国)收集新生儿的人体测量学和身体成分数据。逐步技术应用于多元线性回归模型。
解释新生儿去脂体重变化 84%的模型中的显著变量为:出生体重;母亲年龄;新生儿性别和胎龄。对于体脂肪量:出生体重;新生儿性别;妊娠动脉高血压;妊娠期糖尿病;以及妊娠体重增加。这些变量分别解释了 60%和 46%的体脂肪量,以克和百分比表示。关于出生体重,显著因素为胎龄、孕前 BMI 和妊娠体重增加。女婴的体脂肪量较高,男婴的去脂体重较高。
妊娠和围产期因素影响新生儿的身体成分。早期识别这些可能可改变的妊娠因素对于预防未来肥胖和慢性非传染性疾病是必要的。