摘要
目的分析影响脑性瘫痪(脑瘫)儿童生存质量的相关因素。方法将确诊为脑瘫的80例患儿作为脑瘫组,同时选择80例同龄健康儿童作为健康对照组。采用儿童生存质量的PedsQL4.0普适性核心量表对2组儿童的生存质量进行评定,比较2组儿童生存质量的差异;采用粗大运动功能分级系统(GMFCS)评定脑瘫患儿粗大运动功能的级别,采用北京Gesell发育商评定脑瘫患儿的智力水平;采用多重线性回归分析脑瘫患儿生存质量与性别、月龄、家庭月收入、临床分型、GMFCS及智力水平6种相关因素之间的关系。结果脑瘫组患儿的生理功能/领域、情感功能、社会功能、心理领域及总体生存质量均显著低于健康对照组儿童,差异均有统计学意义(Pa<0.01)。脑瘫患儿总体生存质量与智力水平呈相同趋势,智力水平越高,生存质量亦越高;脑瘫患儿生理领域生存质量与智力水平、GMFCS呈正向关系,与月龄呈反向关系,其中GMFCS对生存质量的影响最严重;患儿的心理领域与智力水平相关。结论脑瘫患儿生存质量存在明显损害,智力水平及运动功能是影响其生存质量的重要因素。
Objective To analyze the correlative factors influencing quality of life(QOL) in children with cerebral palsy(CP).Methods Eighty children with CP(CP group) and 80 healthy children(healthy control group) were eveluated by Pediatric Quality of Life Inventory Version 4(PedsQL4.0) to assess their QOL,and then the differences in QOL of children were compared between the 2 groups.Children with CP were also assessed using Gesell Developmental Scale(GDS) and Gross Motor Function Classification System(GMFCS) to test their deve-lopmental quotient and severity,and then the correlation among QOL,sex,family incomes,clinical types,GMFCS,and the intelligence capacity were analyzed by multiple regression analysis.Results There were significant differences in physical function/aspect,emotional function,social function,psychological aspect and total QOL between CP group and healthy conorol group(Pa0.01).Intelligence degree was positive correlated to total score of QOL.Severity degree and intelligence degree were positive correlated to physical aspect,and age was negative correlated to physical aspect,while severity degree affected physical aspect most.Intelligence degree was positive correlated to psychological aspects.Conclusions QOL of children with CP had impairment in full-scale.The intelligence capacity and the physical functions and intelligence degree are important factors which influence QOL of children with CP.
出处
《实用儿科临床杂志》
CAS
CSCD
北大核心
2011年第1期42-44,共3页
Journal of Applied Clinical Pediatrics
基金
广东省社会发展领域科技计划项目(73122)
关键词
脑性瘫痪
生存质量
相关因素
分析
儿童
cerebral palsy
quality of life
correlation factor
analysis
child