NUTRITIVE SUCKING--PHYSIOLOGIC AND BEHAVIORAL CORRELATES

我们建议继续我们的工作，以进一步开发一种 临床上有用的中枢神经系统评估工具 早产儿出生时体重低于1500克的组织。这 这项工作有可能提供一种更早识别身份的手段 有神经行为后遗症风险的早产儿。 具体目的是：1)考察两者的关系 营养吸吮模式和其他神经行为评估 (生理学参数、布拉斯尔顿新生儿行为评估 规模和状态)在新生儿期；2)检查关系 早产儿在34周后的营养吸吮模式 在学期和第一个月更正时的受孕和吮吸模式 胎龄；3)检查新生儿与胎龄的关系 神经行为评估和神经行为发育 生命的第一年。样本将包括336名早产儿 胎龄从26周到34周不等。在……里面 医院数据收集工具包括Kron Nutritive 吸吮器具、安德森行为状态量表和 布拉斯尔顿新生儿行为评定量表。早产儿 将在怀孕后32-33周进行吸吮测量 年龄到出院为止。心血管测量和 将同时测量行为状态。在1年内 后续，数据收集将包括营养吸吮 测量、行为和认知评估。资料分析 将包括平均值、标准差、标准差 均值、t检验、单因素方差分析、相关程序和时间序列 分析。预计这项调查将：a) 提供更多关于营养素的可靠性和有效性数据 吸吮措施作为评估神经行为的一种手段 发展；b)加深我们对相互关系的理解 生理、神经行为和心理上的营养吸吮- 运动评估；以及c)增加我们识别 婴儿发育异常的风险最大。我们认识到 纵向评估需要持续的时间比 生命的第一年。因此，这项提议是第一个 这项工作的阶段。

We are proposing to continue our work to further develop a clinically useful tool to evaluate central nervous system organization in preterm infants less than 1500 grams at birth. This work has the potential to provide a means of earlier identification of preterm infants who are at risk for neurobehavioral sequelae. The specific aims are to: 1)examine the relationship between nutritive sucking patterns, and other neurobehavioral assessments (physiologic parameters, Brazelton Neonatal Behavioral Assessment Scale and state) in the newborn period; 2) examine the relationship between preterm infant nutritive sucking patterns at 34 weeks post- conceptional and sucking patterns at term and I month corrected gestational age; 3) examine the relationship between neonatal neurobehavioral assessments and neurobehavioral development through the first year of life. The sample will include 336 preterm infants with gestational ages ranging from less than 26 to 34 weeks. In hospital data collection instruments include the Kron Nutritive Sucking Apparatus, Anderson Behavioral State Scale, and the Brazelton Neonatal Behavioral Assessment Scale. Preterm infants will have weekly sucking measurement from 32-33 post-conceptional age until hospital discharge. Cardiovascular measurements and behavioral state will be measured concurrently. During a 1-year follow-up, data collection will include nutritive sucking measurement, behavioral and cognitive assessments. Data analysis will include means, standard deviations, standard error of the means, t-tests, MANOVAs, correlation procedures and time series analysis. It is anticipated that this investigation will: a) provide additional reliability and validity data on nutritive sucking measures as a means of assessing neurobehavioral development; b) further our understanding of the inter-relationship of nutritive sucking with physiologic, neurobehavioral and psycho- motor assessments; and c) increase our potential to identify those infants who are most at risk for abnormal development. We recognize that longitudinal assessments need to be continued longer than the first year of life. Therefore, this proposal represents the first phase of this work.