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新生儿营养状况的人体测量评估。上臂中部周长和皮褶厚度的鉴别价值。

Anthropometric assessment of nutritional status in newborn infants. Discriminative value of mid arm circumference and of skinfold thickness.

作者信息

Excler J L, Sann L, Lasne Y, Picard J

出版信息

Early Hum Dev. 1985 Jul;11(2):169-78. doi: 10.1016/0378-3782(85)90104-5.

DOI:10.1016/0378-3782(85)90104-5
PMID:4029053
Abstract

74 appropriate-for-gestational age (AGA) and 22 small-for-gestational age (SGA) caucasian infants were studied for anthropometric parameters: mid arm circumference (MAC), triceps and subscapular skinfold thickness (TSKF and SSKF) recorded at 15 and 60 s, chest circumference (cc), head circumference, birth weight and length. MAC is highly correlated with birth weight either in AGA (r = 0.936; P less than 0.001) or in SGA infants (r = 0.860; P less than 0.001). MAC is also correlated with gestational age in AGA (r = 0.850; P less than 0.001) and SGA infants (r = 0.76; P less than 0.001). Similar correlations were found between TSKF, SSKF and birth weight or gestational age. Arm muscle and fat areas are also positively correlated with birth weight and gestational age, in AGA and SGA infants. A multiple regression analysis of our data allowed a classification of the best discriminant anthropometric parameters between AGA and SGA infants. MAC, SSKF15, SSKF60 and chest circumference were selected. An equation was established in AGA infants with these four parameters giving a predictive gestational age: gestational age (weeks) = 1.216 MAC (cm)-3.588 SSKF15 (mm) + 0.263 CC (cm) + 17.9. The ratio of predicted gestational age to the real gestational age was 1.0 +/- 0.044 in AGA versus 0.896 +/- 0.034 in SGA infants. Our data suggest that MAC and SSKF provide a simple measure of body composition of neonates and a useful tool for determining the degree of maturity of a newborn independent of birth weight.

摘要

对74名适于胎龄(AGA)和22名小于胎龄(SGA)的白人婴儿进行了人体测量参数研究:记录15秒和60秒时的上臂中部周长(MAC)、肱三头肌和肩胛下皮褶厚度(TSKF和SSKF)、胸围(cc)、头围、出生体重和身长。MAC与AGA婴儿(r = 0.936;P<0.001)或SGA婴儿(r = 0.860;P<0.001)的出生体重高度相关。MAC也与AGA婴儿(r = 0.850;P<0.001)和SGA婴儿(r = 0.76;P<0.001)的胎龄相关。在TSKF、SSKF与出生体重或胎龄之间发现了类似的相关性。在AGA和SGA婴儿中,手臂肌肉和脂肪面积也与出生体重和胎龄呈正相关。对我们的数据进行多元回归分析,得出了AGA和SGA婴儿之间最佳判别人体测量参数的分类。选择了MAC、SSKF15、SSKF60和胸围。利用这四个参数在AGA婴儿中建立了一个预测胎龄的方程:胎龄(周)= 1.216×MAC(厘米)- 3.588×SSKF15(毫米)+ 0.263×cc(厘米)+ 17.9。AGA婴儿预测胎龄与实际胎龄的比值为1.0±0.044,而SGA婴儿为0.896±0.034。我们的数据表明,MAC和SSKF提供了一种简单的新生儿身体组成测量方法,以及一种独立于出生体重来确定新生儿成熟度的有用工具。

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