journal1 ›› 2020, Vol. 28 ›› Issue (7): 820-822.DOI: 10.11852/zgetbjzz2019-0546

Previous Articles     Next Articles

Comparison on application of Alberta Infant Motor Scale in the early intervention between preterm and full-term infants

DUAN Zhi-xian, BAI Hua   

  1. General Hospital of Ningxia Medical University,Yinchuan,Ningxia 750004,China
  • Received:2019-10-19 Online:2020-07-10 Published:2020-07-10


段志娴, 白华   

  1. 宁夏医科大学总医院,宁夏 银川 750004
  • 作者简介:段志娴(1976-),女,宁夏人,主治医师,硕士学位,主要研究方向为儿童神经康复。

Abstract: Objective To compare the application value of Alberta Infant Motor Scale (AIMS) in the early intervention between preterm and full-term infants. Methods A total of 182 infants aged 1 to 15 months were selected from the General Hospital of Ningxia Medical University from January to December 2018 and were divided into observation group(premature infant group,98 cases) and control group (full-term infant group,84 cases).According to AIMS evaluation results,early intervention was conducted.The two groups were evaluated again after 3-month early intervention by AIMS. Results There were significant differences between the two groups on AIMS scores of each position and total AIMS scores training(t=4.097,5.315,4.802,2.334,5.083,P<0.05 or <0.001).There were no statistically significant difference between the two groups on AIMS percentiles after 3-month treatment(P=0.664). Conclusion AIMS plays acrucial rule in assessing the motor development of preterm infants and the early intervention programs can be made according to the assessmen result,So that it can be popularized in clinic.

Key words: Alberta Infant Motor Scale, preterm infants, early intervention

摘要: 目的 比较Alberta婴儿运动量表(AIMS)在早产儿运动发育评估中的应用价值,为改善早产儿预后提供参考依据。方法 选取2018年1-12月间在宁夏医科大学总医院就诊的1~15月龄婴幼儿182例,分为观察组(早产儿组,98例)与对照组(足月儿组,84例),根据AIMS评估结果进行早期干预。3个月后再次对两组给予AIMS评估。结果 两组婴幼儿干预后比较:各体位AIMS评分和AIMS总分差异均有统计学意义(t=4.097、5.315、4.802、2.334、5.083,P<0.05或<0.001),而AIMS百分位数比较差异无统计学意义(P=0.664)。结论 AIMS可评估早产儿运动发育状况,并根据评估结果制定早期干预方案,可在临床推广。

关键词: Alberta婴儿运动量表, 早产儿, 早期干预

CLC Number: