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汪小燕, 殷刚柱, 郭锋, 蒋志成, 汪姗姗, 李书琴, 万宇辉. 新冠疫情前后学龄前儿童视屏时间变化及与行为问题关联[J]. 中国公共卫生, 2021, 37(5): 769-773. DOI: 10.11847/zgggws1131788
引用本文: 汪小燕, 殷刚柱, 郭锋, 蒋志成, 汪姗姗, 李书琴, 万宇辉. 新冠疫情前后学龄前儿童视屏时间变化及与行为问题关联[J]. 中国公共卫生, 2021, 37(5): 769-773. DOI: 10.11847/zgggws1131788
WANG Xiao-yan, YIN Gang-zhu, GUO Feng, . Variation in screen time before and after COVID-19 epidemic and its correlation with behavior problems among preschool children[J]. Chinese Journal of Public Health, 2021, 37(5): 769-773. DOI: 10.11847/zgggws1131788
Citation: WANG Xiao-yan, YIN Gang-zhu, GUO Feng, . Variation in screen time before and after COVID-19 epidemic and its correlation with behavior problems among preschool children[J]. Chinese Journal of Public Health, 2021, 37(5): 769-773. DOI: 10.11847/zgggws1131788

新冠疫情前后学龄前儿童视屏时间变化及与行为问题关联

Variation in screen time before and after COVID-19 epidemic and its correlation with behavior problems among preschool children

  • 摘要:
      目的  分析新冠疫情前后学龄前儿童视屏时间变化情况及与行为问题的关联。
      方法  采用分层整群抽样方法,于2020年5月选取安徽省合肥市4个主城区、3个开发区、3个县和1个县级市8 844名学龄前儿童,调查学龄前儿童新冠疫情前后每日视屏时间,采用Conners父母用行为量表评价儿童行为问题,建立多因素logistic回归模型分析新冠疫情前后视屏时间变化与儿童行为问题的关联。
      结果  新冠疫情前每日视屏时间(以下简称疫情前)≤ 1 h新冠疫情控制期每日视屏时间(以下简称控制期)≤ 1 h组共4 848人,占54.82 %;疫情前 ≤ 1 h控制期 > 1 h组共1 888人,占21.35 %;疫情前 > 1 h控制期 ≤ 1 h组共147人,占1.66 %;疫情前 > 1 h控制期 > 1 h组共1 961人,占22.17 %。与疫情前 ≤ 1 h控制期 ≤ 1 h组相比,疫情前 ≤ 1 h控制期 > 1 h组(OR = 1.63,95 % CI = 1.42~1.88)、疫情前 > 1 h控制期 ≤ 1 h组(OR = 1.57,95 % CI = 1.03~2.38)和疫情前 > 1 h控制期 > 1 h组(OR = 1.78,95 % CI = 1.55~2.04)总行为问题的风险增高(均P < 0.05)。与疫情前 ≤ 1 h控制期 ≤ 1 h组相比,疫情前 ≤ 1 h控制期 > 1 h组和疫情前 > 1 h/控制期 > 1 h组学龄前儿童品行问题、学习问题、冲动 – 多动、焦虑、多动的风险均较高(P < 0.05)。
      结论  疫情可能增加学龄前儿童视屏时间,高视屏时间与高水平儿童行为问题相关联。

     

    Abstract:
      Objective  To analyze the variation in screen time before and after the outbreak of coronavirus disease 2019 (COVID-19) and the correlation between the variation and behavior problems among preschool children.
      Methods  Using stratified cluster sampling, we recruited 8 882 kindergarten children aged 3 – 6 years in 4 urban districts, 3 development zones, 3 counties and one county-level prefecture in Hefei municipality of Anhui province and conducted an online voluntary survey among the children′s parents during May 2020. A self-designed questionnaire and Conners′ Parent Symptom Questionnaire (PSQ) were adopted to collect relevant information. Multivariate logistic regression analysis was performed to explore the correlation between the variation in screen time and behavior problems among the preschool children.
      Results   Of the 8 844 children (4 770 boys and 4 074 girls, mean age = 4.43 ± 0.98 years) with valid information, 54.82% (4 844) were reported with the daily screen time of ≤ one hour before and during the COVID-19 epidemic, 22.17% (1 961) with the time of ≥ one hour before and during the COVID-19 epidemic, 21.35% (1 888) with the time of ≤ one hour before but > one hour during the COVID-19 epidemic, and only 1.66% (147) with the time of > one hour before but ≤ one hour during the epidemic period. The results of logistic regression analysis demonstrated that compared with those with a daily screen time of ≤ one hour before and during the period of epidemic, the children with following daily screen time were at an increased risk of having behavior problems: > one hour before and during the COVID-19 epidemic (odds ratio OR = 1.78, 95% confidence interval 95% CI = 1.55 – 2.04), ≤ one hour before but ≥ one hour during the epidemic (OR = 1.63, 95% CI = 1.42 – 1.88), > one hour before but ≤ one hour during the epidemic (OR = 1.57, 95% CI = 1.03 – 2.38). In comparison to those with the daily screen time of ≤ one hour before and during the COVID-19 epidemic, the children with the time of ≥ one hour before and during the COVID-19 epidemic and the time of ≤ one hour before but > one hour during the epidemic were at a significantly increased risk of behavior problems including bad conduct, learning difficulty, impulsion-hyperactivity, anxiety, and hyperactivity (all P < 0.05).
      Conclusion  Some preschool children had an increased daily screen time during the period of COVID-19 epidemic and the variation in the daily screen time may relate to the incidence of behavior problems in the children.

     

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