华中科技大学学报(医学版) ›› 2026, Vol. 55 ›› Issue (3): 409-415.doi: 10.3870/j.issn.1672-0741.26.01.017

• 调查研究 • 上一篇    下一篇

武汉市汉阳区学龄前儿童屈光状态及其影响因素分析*

周琛淼1, 徐焜1, 李锦光2, 张路1, 马玉巧1, 胡昭昭1, 樊梦婷3, 刘烘蠲3, 杨雪锋3△   

  1. 1武汉市汉阳区妇幼保健院,武汉 430050
    2武汉市精神卫生中心,武汉 430030
    3华中科技大学同济医学院公共卫生学院营养与食品卫生学系,武汉 430030
  • 收稿日期:2026-01-06 出版日期:2026-06-15 发布日期:2026-06-17
  • 通讯作者: E-mail:xxyxf@hust.edu.cn
  • 作者简介:周琛淼,女,1987年生,主治医师,E-mail:tinatc@163.com
  • 基金资助:
    *武汉市卫生健康委员会科研项目(No.WX23B37)

Refraction Status and Influencing Factors of Preschool Children in Hanyang District,Wuhan

Zhou Chenmiao1, Xu Kun1, Li Jinguang2 et al   

  1. 1Hanyang District Health Center for Women and Children, Wuhan 430050, China
    2Wuhan Mental Health Center, Wuhan 430030, China
  • Received:2026-01-06 Online:2026-06-15 Published:2026-06-17
  • Contact: E-mail:xxyxf@hust.edu.cn

摘要: 目的 了解武汉市汉阳区学龄前儿童的屈光状态,分析相关影响因素,为屈光不正的防治提供科学指导。方法 采用横断面调查方法,选取2023年9月-2024年2月在武汉市汉阳区妇幼保健院进行常规健康体检的398名3~6岁学龄前儿童为研究对象。采用SureSight手持式自动验光仪对儿童双眼进行屈光检测,并通过结构化问卷调查收集儿童基本人口学信息、用眼行为及饮食营养状况等资料。采用χ2检验进行组间比较,并应用非条件Logistic回归模型分析学龄前儿童屈光不正的影响因素。结果 共纳入学龄前儿童398名(796只眼),屈光不正检出率为13.1%。不同年龄组及不同性别儿童屈光不正检出率差异均无统计学意义(均P>0.05)。多因素Logistic回归分析结果显示:母亲文化程度较低(OR=1.621,95%CI:1.038,2.534)及使用电脑等电子设备时眼睛距离屏幕<50 cm(OR=2.301,95%CI:1.200,4.414)为屈光不正的危险因素;定期进行视力检查(OR=0.330,95%CI:0.176,0.618)、使用电子设备时总是离开屏幕休息(OR=0.252,95%CI:0.068,0.937)、不观看电视(OR=0.154,95%CI:0.025,0.933)、近一年未发现微量元素缺乏(OR=0.268,95%CI:0.104,0.693)及未发现维生素缺乏(OR=0.035,95%CI:0.003,0.384)为保护因素(均P<0.05)。结论 武汉市汉阳区学龄前儿童屈光不正检出率仍处于较高水平。母亲文化程度、电子屏幕使用行为、视力检查情况以及儿童营养状况等因素均可能影响学龄前儿童的屈光状态。应加强学龄前儿童视力筛查管理,规范电子设备使用行为,并重视合理膳食与营养摄入,以促进儿童视觉系统的健康发育。

关键词: 屈光状态, 影响因素, 学龄前儿童

Abstract: Objective To investigate the refractive status of preschool children in Hanyang District of Wuhan and to analyze its associated factors,so as to provide scientific evidence for the early prevention and intervention of refractive error in children. Methods A cross-sectional study was conducted among 398 preschool children aged 3-6 years who underwent routine health examinations at the Hanyang District Health Center for Women and Children between September 2023 and February 2024.Binocular refractive status was measured using a SureSight handheld autorefractor.A structured questionnaire was used to collect information on demographic characteristics,visual habits,and dietary and nutritional status.Group differences were compared using the χ2 test,and multivariate logistic regression analysis was performed to identify factors associated with refractive error. Results A total of 398 preschool children(796 eyes)were included in the study.The detection rate of refractive error was 13.1%.No statistically significant differences were observed in the prevalence of refractive error across age groups or between sexes(P>0.05).Multivariate logistic regression analysis showed that lower maternal education level(OR=1.621,95%CI:1.038,2.534)and a viewing distance of <50 cm when using computers or other electronic devices(OR=2.301,95%CI:1.200,4.414)were risk factors for refractive error.In contrast,regular vision examinations(OR=0.330,95%CI:0.176,0.618),always taking breaks from the screen during electronic device use(OR=0.252,95%CI:0.068,0.937),not watching television(OR=0.154,95%CI:0.025,0.933),absence of micronutrient deficiency in the past year(OR=0.268,95%CI:0.104,0.693),and absence of vitamin deficiency(OR=0.035,95%CI:0.003,0.384)were protective factors(all P<0.05). Conclusion The prevalence of refractive error among preschool children in Hanyang District of Wuhan remains relatively high.Maternal education level,electronic screen use behaviors,vision examination practices,and nutritional status may influence refractive status in preschool children.Strengthening vision screening programs,regulating electronic device use,and promoting balanced nutrition may help support healthy visual development in early childhood.

Key words: refractive status, influencing factors, preschool children

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