首页|基于计算机云平台筛查学龄前儿童多动行为及其影响因素分析

基于计算机云平台筛查学龄前儿童多动行为及其影响因素分析

扫码查看
目的 基于计算机云平台智能化主动筛查,研究深圳市龙华区4~5岁的学龄前儿童多动行为现状及其相关影响因素,以期实现对学龄前儿童多动行为的早期筛查.方法 运用计算机"璟云平台"对深圳市龙华区6个街道共239家幼儿园在2019年秋季入学的学龄前儿童进行调查,共收集59 564名学龄前儿童问卷数据,年龄4~5岁,获得有效问卷59 114份.试验创新性在于将经过本领域专家论证有效可行的问卷收集量表放置于计算机云平台上,实现智能化收集数据并通过智能分析,方便早期筛查与智能判断.用专家论证编制的问卷收集被调查对象的一般人口学资料,用Conners父母用症状问卷(PSQ)评估被调查学龄前儿童的多动行为,并对采集的数据分析儿童多动行为的现状及相关影响因素.结果 深圳市龙华区6个街道共239家幼儿园4~5岁学龄前儿童多动行为检出率为4.86%.儿童性别、父母婚姻状况、在深圳居住时间、所处街道环境及转校情况与学龄前儿童多动行为均存在关联(P<0.05);logistic回归分析显示,深圳居住时间是保护因素(95%CI 0.798~0.975),并且在深圳居住时间越长,女孩受保护比男孩更明显.儿童父母亲的婚姻状况为丧偶(95%CI 3.154~19.646)、未婚(95%CI 1.027~5.268),儿童所在幼儿园位于龙华街道(95%CI 1.138~2.508)、大浪街道(95%CI 1.384~2.971)以及观澜街道(95%CI 1.470~3.509)均是学龄前儿童多动行为的危险因素.结论 通过计算机云平台的主动筛查,能够简便有效筛查出有多动行为的学龄前儿童,以及可分析得到影响学龄前儿童多动行为的相关保护或危险因素,在较大范围区域的早期筛查中建议推广使用.
Hyperactive Behavior Screening and Its Influencing Factors in Preschool Children Based on a Computer Cloud Platform
Objective To investigate the current situation of hyperactive behavior and related influencing factors in preschool children aged 4-5 years in Longhua District,Shenzhen,based on the intelligent active screening of computer cloud platform,with a view to realizing early screening of hyperactive behavior in preschool children.Methods Using the computer platform of Jingyun,a survey was conducted on 59,564 preschool children,aged 4-5 years,from 239 kindergartens in 6 neighborhoods in Longhua Dis-trict,Shenzhen,who were just enrolled in the fall of 2019.A total of 59,114 valid questionnaires were obtained.The innovation of this experiment was to place the questionnaire collection scale,which has been proved to be effective and feasible by experts in the field,on the computer cloud platform to realize intelligent data collection and intelligent analysis,so as to facilitate early screening and intelligent judgment.The general demographic data of the respondents were collected using the questionnaire prepared and proved by experts.The parent symptom questionnaire(PSQ)was used to assess the hyperactive behavior of the surveyed preschool children.The data collected were used to analyze the current status of the children's hyperactive behavior and related influencing fac-tors.Results The detection rate of hyperactive behavior among preschool children aged 4-5 years in 239 kindergartens in 6 neigh-borhoods of Longhua District,Shenzhen was 4.86%.Children's sex,parents'marital status,length of residence in Shenzhen,neigh-borhood environment and transferring to another school were all associated with hyperactive behavior in preschool children(P<0.05).Logistic regression analysis showed that the length of residence in Shenzhen was a protective factor(95%CI 0.798-0.975),and girls were more visibly protected than boys.The marital status of the children's parents as widowed(95%CI 3.154-19.646)and unmarried(95%CI 1.027-5.268),and the children's kindergartens located in Longhua Street(95%CI 1.138-2.508),in Dalang Street(95%CI 1.384-2.971),and in Guanlan Street(95%CI 1.470-3.509)were risk factors for hyperactive behavior in preschool children.Conclusion The active screening through the computer cloud platform can easily and effectively screen preschool children with hyperactive behavior,as well as analyze and obtain the relevant protective or risk factors affecting hyperactive behavior in preschool children,which is recommended for early screening in a large area.

hyperactive behaviorpreschool childrenearly screeningactive healthcloud platform

尹晓娜、沈龙彬、王楠、张晶宇、吴剑波、邱双燕、雷海艳、陈卓铭

展开 >

深圳市龙华区妇幼保健院,广东 深圳 518109

深圳市龙华区健康教育所,广东 深圳 518109

暨南大学附属第一医院,广东 广州 510630

多动行为 学龄前儿童 早期筛查 主动健康 云平台

国家重点研发计划项目深圳市科技计划创新基金项目

2020YFC2005700JCYJ20210324122609025

2024

康复学报
福建中医药大学

康复学报

CSTPCD
影响因子:0.545
ISSN:2096-0328
年,卷(期):2024.34(1)
  • 33