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肖建国, 黎孔兵, 吴晓东, 李雪川, 江琴. 学龄前儿童视力筛查结果及其影响因素分析[J]. 中国妇幼卫生杂志, 2018, 9(2): 44-46,50.
引用本文: 肖建国, 黎孔兵, 吴晓东, 李雪川, 江琴. 学龄前儿童视力筛查结果及其影响因素分析[J]. 中国妇幼卫生杂志, 2018, 9(2): 44-46,50.
XIAO Jian Guo, LI Kong Bing, WU Xiao Dong, LI Xue Chuan, JIANG Qin. Analysis of the screening results of visual acuity and its influencing factors among preschool children[J]. CHINESE JOURNAL OF WOMEN AND CHILDREN HEALTH, 2018, 9(2): 44-46,50.
Citation: XIAO Jian Guo, LI Kong Bing, WU Xiao Dong, LI Xue Chuan, JIANG Qin. Analysis of the screening results of visual acuity and its influencing factors among preschool children[J]. CHINESE JOURNAL OF WOMEN AND CHILDREN HEALTH, 2018, 9(2): 44-46,50.

学龄前儿童视力筛查结果及其影响因素分析

Analysis of the screening results of visual acuity and its influencing factors among preschool children

  • 摘要: 目的 探讨学龄前儿童视力异常的发生情况和影响因素,为针对性开展学龄前儿童眼保健工作提供科学依据。方法 采用随机整群抽样法将8905名3~6岁儿童进行调查。应用美国伟伦视力筛查仪进行视力筛查,并完成《儿童视力发育相关因素调查表》的填写。应用Logistic回归模型进行危险因素分析。结果 完成视力筛查和调查问卷的学龄前儿童共计8905名,应答率为96.33%。视力筛查异常1266名,发生率为14.22%。视力异常发生率随年龄增加而增加,其差异有统计学意义(χ2=13.6461,P<0.05),性别间差异无统计学意义(χ2=0.3810,P>0.05);城市高于农村,其差异有统计学意义(χ2=6.9552,P<0.05)。经确诊视力异常692名,发生率为7.77%,主要有弱视、斜视等。经Logistic回归模型分析,影响学龄前儿童视力的因素包括遗传、户外活动时间<1 h、近距离看电视、电子视频时间>1 h、父亲陪伴时间<0.5 h、看书时间>3 h、母亲文化程度、营养状况、睡眠时间、生活采光。结论 社会及相关部门、家庭应重视对学龄前儿童眼保健工作,采取综合干预措施控制视力异常的发生。

     

    Abstract: Objective To investigate the prevalence and main influencing factors of visual abnormality among preschool children, in order to provide scientific evidence for the eye health care work of preschool children.Methods A random cluster sampling method was used to investigate 8905 children aged 3-6 years. American visual acuity screening instrument was used for visual screening. The questionnaire of children's visual development related factors was completed. Logistic regression model was used to analyze the risk factors.Results A total of 8905 preschool children received the visual acuity screening and completed the questionnaires, with a response rate of 96.33%. A total of 1266 cases were detected with abnormal visual acuity by screening. The detection rate was 14.22%. The detection rate of abnormal visual acuity increased with age, and the difference is significant (χ2=13.6461, P< 0.05).There was no difference in gender (χ2=0.3810, P> 0.05). The detection rate in urban areas was higher than in rural areas. The difference was statistically significant (χ2=6.9552, P< 0.05). A total of 692 cases were diagnosed as abnormal vision (mainly including amblyopia and strabismus) and the incidence was 7.77%. By Logistic regression analysis, influencing factors of preschool children's vision including genetic, outdoor activity time < 1 h, close watching TV, watching video time > 1 h, father's company time < 0.5 h, reading time > 3 h, mother's education, nutrition, length of sleep and living lighting.Conclusion Social, related departments and families should pay attention to the eye care work of preschool children. It is necessary to adopt comprehensive intervention measures to control the occurrence of abnormal vision.

     

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