Chen Hao, Sun Yi, Luo Sha, Ma Yingyan, Li Chenshu, Xiao Yingcheng, Zhang Yimeng, Lin Senlin, Jia Yingnan
Preventive Medicine and Health Education Department, School of Public Health, Fudan University, Shanghai, China.
Xuhui Maternity and Child Healthcare Center, Shanghai, China.
J Med Internet Res. 2025 Mar 5;27:e65343. doi: 10.2196/65343.
It is unclear how exposure to different types of screen content is associated with early development among preschool children.
This study aims to precisely evaluate the screen exposure time across different content types and to explore the associations with the Ages and Stages Questionnaire, Third Edition (ASQ-3) score and 5 capacity domains in children aged 34.5-66 months.
This monitoring study used intelligent technology to collect data on the 7-day screen time and the time spent viewing each content type. The participants were 2 groups of Shanghai kindergarten kids. The data were collected between March 2023 and July 2023. Screen exposure data (total daily time and time for each type of content) were collected from children aged between 34.5 and 66 months. A self-designed questionnaire and the Healthy Screen Viewing for Children intelligent technology app were used to assess screen exposure to all media and tablets. The ASQ-3 was used to assess early development in children aged 34.5-66 months.
In the 535-child sample, the results of linear regression analysis indicated that both screen time of more than 60 minutes and exposure to smartphones and tablets were negatively associated with ASQ-3 score. Among 365 participants with data collected by the Healthy Screen Viewing for Children app, median regression showed that the median total ASQ-3 score was negatively associated with screen time for noneducational content (β=-.055; 95% CI -0.148 to -0.006; P=.03), screen time for both educational and noneducational content (β=-.042; 95% CI -0.081 to -0.007; P=.001), and fast-paced content (β=-.034; 95% CI -0.062 to -0.011; P=.049). The median gross motor score was negatively associated with screen time for parental guidance-13-rated content (β=-.015; 95% CI -0.022 to 0.009; P=.03), educational and noneducational content (β=-.018, 95% CI -0.038 to -0.001; P=.02), static content (β=-.022; 95% CI -0.050 to 0.007; P=.02). This study also revealed that the median fine motor score was negatively associated with screen time for guidance-rated content (β=-.032, 95% CI -0.057 to -0.003; P=.006), parental guidance (PG) rated content (β=-.020; 95% CI -0.036 to -0.007; P=.004), noneducational content (β=-.026; 95% CI -0.067 to -0.003; P=.01), both educational and noneducational content (β=-.020; 95% CI -0.034 to -0.001; P<.001), fast-paced content (β=-.022; 95% CI -0.033 to -0.014; P<.001), static content (β=-.034; 95% CI -0.050 to 0.018; P<.001), animated content (β=-.038; 95% CI -0.069 to -0.001; P=.004), and screen use during the daytime (β=-.026; 95% CI -0.043 to 0.005; P=.005).
The results indicated that the time spent viewing noneducational, static, fast-paced, and animated content was negatively associated with early development among preschool children. Limiting screen time in relevant aspects is recommended.
目前尚不清楚接触不同类型的屏幕内容与学龄前儿童早期发育之间的关联。
本研究旨在精确评估不同内容类型的屏幕暴露时间,并探讨其与34.5 - 66个月儿童的《年龄与发育阶段问卷》第三版(ASQ - 3)得分及5个能力领域之间的关联。
本监测研究使用智能技术收集7天的屏幕使用时间以及观看每种内容类型所花费的时间。参与者为两组上海幼儿园儿童。数据收集于2023年3月至2023年7月。从34.5至66个月的儿童中收集屏幕暴露数据(每日总时间及每种内容类型的时间)。使用自行设计的问卷和“儿童健康屏幕观看”智能技术应用程序评估所有媒体和平板电脑的屏幕暴露情况。ASQ - 3用于评估34.5 - 66个月儿童的早期发育情况。
在535名儿童的样本中,线性回归分析结果表明,屏幕使用时间超过60分钟以及接触智能手机和平板电脑均与ASQ - 3得分呈负相关。在通过“儿童健康屏幕观看”应用程序收集数据的365名参与者中,中位数回归显示,ASQ - 3总得分中位数与非教育内容的屏幕使用时间(β = -0.055;95%置信区间 -0.148至 -0.006;P = 0.03)、教育和非教育内容的屏幕使用时间(β = -0.042;95%置信区间 -0.081至 -0.007;P = 0.001)以及快节奏内容的屏幕使用时间(β = -0.034;95%置信区间 -0.062至 -0.011;P = 0.049)呈负相关。粗大运动得分中位数与家长指导13级内容的屏幕使用时间(β = -0.015;95%置信区间 -0.022至0.009;P = 0.03)、教育和非教育内容的屏幕使用时间(β = -0.018,95%置信区间 -0.038至 -0.001;P = 0.02)、静态内容的屏幕使用时间(β = -0.022;95%置信区间 -0.050至0.007;P = 0.02)呈负相关。本研究还表明,精细运动得分中位数与指导级内容的屏幕使用时间(β = -0.032,95%置信区间 -0.057至 -0.003;P = 0.006)、家长指导(PG)级内容的屏幕使用时间(β = -0.020;95%置信区间 -0.036至 -0.007;P = 0.004)、非教育内容的屏幕使用时间(β = -0.026;95%置信区间 -0.067至 -0.003;P = 0.01)、教育和非教育内容的屏幕使用时间(β = -