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Predicting factors of neonate birth weight

机译:新生儿出生体重的预测因素

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One of the most important health indices in different societies is the birth weight of neonates which is affected by several factors. It is essential to be aware of these factors for further care of both mother and her fetus during pregnancy. The association between birth weight of neonates and some influential factors on them were examined in this study. In this cross sectional research, 245 neonates of Shoushtar County were studied in 2013. The data were collected from medical files and by interviewing with mothers. The neonate and mother characteristics, pregnancy and delivery statues were determined. Data were analyzed by SPSS 16 software, Chi square and T tests, analysis of variance, ROC curve and multiple regression. Mean (±SD) of the examined babies’ weight was 3258(±436) grams. Gestational age(P0.001), gender(P=0.04), rank of birth(P=0.012) and period between two pregnancies(P=0.028) had a significant relationship with birth weight. Regression model also included gestational age, rank of birth, type of delivery and gender(R²=0.242). and gestational age variable had a higher sensitivity(0.85) and specificity(0.91) by ROC curve. In this study, gestational age, rank of birth, period between two pregnancies and gender had a meaningful relation with birth weight and regression model could illustrate and anticipate 24% of changes in dependent variables. Prevention of preterm delivery and preparing of exclusive cares for mothers with low duration between two pregnancies and in primiparous can increase probability of infants born with normal weight.
机译:在不同的社会中,最重要的健康指标之一是新生儿的出生体重,它受到几个因素的影响。必须了解这些因素,以便在怀孕期间进一步照顾母亲和胎儿。这项研究检查了新生儿的出生体重与一些影响他们的因素之间的关系。在这项横断面研究中,2013年对Shoushtar县的245名新生儿进行了研究。这些数据是从医疗档案中收集并与母亲会面。确定了新生儿和母亲的特征,怀孕和分娩状态。通过SPSS 16软件,卡方检验和T检验,方差分析,ROC曲线和多元回归分析数据。接受检查的婴儿体重的平均值(±SD)为3258(±436)克。妊娠年龄(P <0.001),性别(P = 0.04),出生等级(P = 0.012)和两次怀孕之间的时间间隔(P = 0.028)与出生体重有显着关系。回归模型还包括胎龄,出生等级,分娩类型和性别(R²= 0.242)。 ROC曲线显示,胎龄变量具有较高的敏感性(0.85)和特异性(0.91)。在这项研究中,胎龄,出生等级,两次怀孕之间的时间段和性别与出生体重之间存在有意义的关系,回归模型可以说明和预测24%因变量的变化。防止早产和为两次怀孕之间时间短且初产的母亲准备独家护理,可以增加体重正常的婴儿出生的可能性。

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