BOTTLE FEEDING READINESS IN PRETERM INFANTS

描述：早产儿的奶瓶喂养是一种常规和必要的 医院护理方面。然而，即使是日常的活动，如 喂养，如果不加以管理，可能会导致早产儿的不良反应 适当地。由于没有普遍接受的标准来确定 如果早产儿准备好用奶瓶喂养， 在这个最关键的维持生命的过程中， 活动提供护理（即，奶瓶喂养）当婴儿指示 有人建议，随时准备接受护理是一种最大限度地减少潜在危险的方法， 对活动的不良反应。因此，本研究的主要目的 是测试一个预测模型， 结果。奶瓶喂养的准备包括婴儿的神经成熟， 疾病的严重程度以及进食前的自主神经、运动和行为状态 organization.奶瓶喂养的结果包括喂养期间和喂养后 自主、运动和行为状态组织，吸吮-吞咽-呼吸 协调性和进食性能。本研究的次要目的是 研究奶瓶喂养经验如何影响奶瓶喂养准备 和奶瓶喂养的结果。这项非实验性的观察性研究将 使用从医疗记录和10至14次喂养观察中获得的数据， 从受孕后32周开始的95名婴儿。将对数据进行分析 各种统计技术取决于测量水平， 变量将使用MANOVA对连续响应测量进行建模。 将使用逻辑回归对分类变量进行建模。

DESCRIPTION: Bottle-feeding of preterm infants is both a routine and essential aspect of hospital care. Yet even routine caregiving activities, such as feeding, may cause adverse reactions in preterm infants if not managed appropriately. Since there are no universally accepted criteria for determining if a preterm infant is ready to bottle feed, the already vulnerable infant is subject to a trial-and-error approach to this most critical life-sustaining activity. Providing care (i.e., bottle feeding) when the infant indicated readiness to receive care has been suggested as a way to minimize potential adverse reactions to caregiving activities. Thus, the primary aim of this study is to test a predictive model of bottle-feeding readiness and bottle-feeding outcomes. Bottle-feeding readiness includes the infant's neurologic maturation, severity of illness, and pre-feeding autonomic, motor, and behavioral state organization. Bottle feeding outcomes include during and post-feeding autonomic, motor, and behavioral state organization, suck-swallow-breathe coordination, and feeding performance. A secondary aim of the study will be to examine how bottle-feeding experience influences both bottle-feeding readiness and bottle-feeding outcomes. This non-experimental, observational study will use data obtained from medical records and 10 to 14 feeding observations each for 95 infants beginning at 32 weeks post-conception age. Data will be analyzed with a variety of statistical techniques dependent on the measurement level of the variables. Continuous response measures will be modeled using MANOVA. Categorical variables will be modeled using logistic regression.