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慕尼黑功能发育诊断的主成分分析

Principal Component Analysis of Munich Functional Developmental Diagnosis.

作者信息

Pazera Grażyna, Młodawska Marta, Młodawski Jakub, Klimowska Kamila

机构信息

Collegium Medicum, Jan Kochanowski University in Kielce, 25-369 Kielce, Poland.

Clinic of Neonatology, Provincial Combined Hospital in Kielce, 25-736 Kielce, Poland.

出版信息

Pediatr Rep. 2021 May 2;13(2):227-233. doi: 10.3390/pediatric13020031.

DOI:10.3390/pediatric13020031
PMID:34063183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8162552/
Abstract

OBJECTIVES

Munich Functional Developmental Diagnosis (MFDD) is a scale for assessing the psychomotor development of children in the first months or years of life. The tool is based on standardized tables of physical development and is used to detect developmental deficits. It consists of eight axes on which the following skills are assessed: crawling, sitting, walking, grasping, perception, speaking, speech understanding, social skills.

METHODS

The study included 110 children in the first year of life examined with the MFDD by the same physician. The score obtained on a given axis was coded as a negative value (defined in months) below the child's age-specific developmental level. Next, we examined the dimensionality of the scale and the intercorrelation of its axes using polychoric correlation and principal component analysis.

RESULTS

Correlation matrix analysis showed high correlation of MFDD axes 1-4, and MFDD 6-8. The PCA identified three principal components consisting of children's development in the areas of large and small motor skills (axis 1-4), perception (axis 5), active speech, passive speech and social skills (axis 6-8). The three dimensions obtained together account for 80.27% of the total variance.

CONCLUSIONS

MFDD is a three-dimensional scale that includes motor development, perception, and social skills and speech. There is potential space for reduction in the number of variables in the scale.

摘要

目的

慕尼黑功能发育诊断量表(MFDD)是一种用于评估儿童生命最初几个月或几年心理运动发育情况的量表。该工具基于标准化的身体发育表格,用于检测发育缺陷。它由八个维度组成,评估以下技能:爬行、坐立、行走、抓握、感知、说话、言语理解、社交技能。

方法

该研究纳入了110名一岁儿童,由同一位医生使用MFDD进行检查。在给定维度上获得的分数被编码为低于儿童特定年龄发育水平的负值(以月为单位)。接下来,我们使用多相关分析和主成分分析来检验该量表的维度和各维度之间的相互关系。

结果

相关矩阵分析显示MFDD的维度1 - 4以及维度6 - 8之间具有高度相关性。主成分分析确定了三个主要成分,包括儿童在大运动和小运动技能领域的发育(维度1 - 4)、感知(维度5)、主动言语、被动言语和社交技能(维度6 - 8)。所得到的这三个维度共同解释了总方差的80.27%。

结论

MFDD是一个三维量表,包括运动发育、感知以及社交技能和言语。该量表在减少变量数量方面有潜在空间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0959/8162552/f78c6c55a55f/pediatrrep-13-00031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0959/8162552/f810dc0fd087/pediatrrep-13-00031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0959/8162552/f78c6c55a55f/pediatrrep-13-00031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0959/8162552/f810dc0fd087/pediatrrep-13-00031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0959/8162552/f78c6c55a55f/pediatrrep-13-00031-g002.jpg

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本文引用的文献

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[Longitudinal evaluation of functional neurodevelopmental diagnosis according to the Munich Method in preterm infants].[根据慕尼黑方法对早产儿进行功能性神经发育诊断的纵向评估]
Rev Salud Publica (Bogota). 2017 Mar-Apr;19(2):161-165. doi: 10.15446/rsap.v19n2.35604.
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[Evaluating language acquisition using the Early Language Milestone (ELM) and Munich developmental scales].[使用早期语言里程碑(ELM)和慕尼黑发育量表评估语言习得]
Rev Salud Publica (Bogota). 2014 May-Jun;16(3):453-61.
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Longitudinal neurodevelopmental evolution in children with severe non-progressive encephalopathy.
重度非进行性脑病患儿的纵向神经发育演变
Brain Dev. 2013 Jun;35(6):548-54. doi: 10.1016/j.braindev.2012.07.019. Epub 2012 Sep 1.
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Postnatal neuro-development of fetuses with absent end-diastolic flow in the umbilical artery and/or fetal descending aorta.胎儿脐动脉和/或胎儿降主动脉无舒张末期血流的出生后神经发育。
Arch Gynecol Obstet. 2012 Jun;285(6):1547-52. doi: 10.1007/s00404-011-2191-4. Epub 2012 Jan 4.
5
Diagnosis of severe developmental disorders in children under three years of age.三岁以下儿童严重发育障碍的诊断
Med Sci Monit. 2007 Feb;13(2):CR89-99.