Digital Media Usage Trends Among Children Aged 8–11 Years Before and After the COVID-19
Article information
Abstract
Objective
The coronavirus disease-2019 (COVID-19) pandemic has significantly altered daily life, potentially impacting children’s digital media usage. This study investigates changes in smart device usage among children in South Korea, considering the pandemic’s effects.
Methods
A longitudinal analysis was conducted on a cohort of 313 children aged 8–11 years from 2018 to 2021. The study measured weekly usage of personal computers (PCs), tablet PCs, and smartphones, comparing pre-pandemic (up to 2020) and post-pandemic periods. Partial correlation analysis was employed to assess the impact of COVID-19, controlling for covariates such as age, household income, and parental education.
Results
The analysis revealed a significant increase in smart device usage time following the onset of the pandemic. This increase remained statistically significant even after accounting for covariates. Notably, both age and maternal education level were significant factors influencing device usage.
Conclusion
This study demonstrates a significant shift in the digital behavior of children aged 8–11 in the context of the COVID-19 pandemic. The increase in smart device usage underscores the pandemic’s far-reaching impact on children’s daily routines and suggests a need for further research into its long-term effects. The findings highlight the importance of considering external societal changes when analyzing trends in digital media usage among children.
INTRODUCTION
Children are increasingly using digital media devices for leisure and learning purposes. Instead of watching TV, children use a combination of live, recorded playback, and broadcaster-on-demand services. Therefore, presently, children use digital media such as smart devices, tablet personal computers (PCs), and PCs more than they do TV [1].
While educational television, such as Sesame Street or Blue’s Clues, has been reported to have a positive effect on children’s learning and socio-emotional and language development [2,3], excessive exposure to non-educational digital media has been shown to have a negative effect on children’s behavior, cognition, and emotional health [4]. The negative effects include decreased inhibitory control [5], hyperactivity [6,7], sleep problems [8], and decreased attention [9], all of which may result in poor academic performance. In addition, excessive digital media use has been reported to be associated with depression and suicidal thoughts among adolescents [10]. However, Shutzman and Gershy [11] highlight the need to treat digital media use and problematic digital media use as distinct constructs. Therefore, understanding the extent and pattern of children’s digital media use is important for establishing strategies to reduce problematic digital media use.
Even before the pandemic, children’s digital device use time had tripled from 2013 to 2017; coronavirus disease-2019 (COVID-19) has further increased it. School closures due to COVID-19 have had a significant impact on student learning styles worldwide [12]. During the pandemic, online learning methods, such as educational apps, video lectures, and YouTube, were used for elementary school students [13]. Additionally, children’s use of social networks increased for ongoing interactions with peers and relatives; consequently, they spent more time using smartphones, tablets, and computers [14,15]. Particularly, during the COVID-19 emergency, some people relied on the Internet and social media to alleviate pandemic-related anxiety. Apropos this, excessive media use has caused children to become less interested in real life and to focus only on what is happening on the Internet [16].
Research suggests that excessive media use over long periods of time causes more negative problems for children than positive ones. However, few studies have specifically investigated the amount of time spent on digital devices since the outbreak of COVID-19. Moreover, most of the existing studies on screen time have been cross-sectional. While previous studies have focused on adolescents or adults, this study is a longitudinal observation of elementary school students aged 8–11 years, before and after the COVID-19 pandemic. This study aimed to test the hypothesis that screen time has increased during the COVID-19 pandemic by examining the changes in screen time from the pre-pandemic period (2018– 2019) to the post-pandemic period (2020–2021). Therefore, in this study, we investigated the longitudinal usage time of PCs, tablet PCs, and smartphones among elementary school students aged 8–11 years, compared the differences between weekdays and weekends, and analyzed the differences before and after the pandemic.
METHODS
Participants
The Kids Cohort for Understanding of Internet Addiction Risk Factors in Early Childhood (K-CURE) study is the first long-term observational prospective cohort study investigating the causes and effects of internet-related diseases and disorders in South Korea. This study was conducted as a part of the K-CURE study and proceeded with data from Waves 4 to 7.
Caregivers (mostly mothers) were invited to participate in a self-administered survey on children’s use of various media platforms. The caregivers made a voluntary visit, for their child’s mental health, to community centers located in Suwon, Sungnam, and Goyang cities, all of which are major cities in the most populous province of South Korea. The baseline assessment in this study, Wave 4, was conducted between October and November 2018, and follow-up assessments, from Wave 5 to Wave 7, were conducted every year. We set Wave 4 and 5 (2018–2019) as the pre-COVID period and Wave 6 and 7 (2020–2021) as the post-COVID period.
In this study, out of a total of 350 respondents over four waves (Wave 4 to Wave 7), 19 respondents participated only in Wave 4, 7 respondents participated until Wave 5, and 11 respondents participated only until Wave 6; thus 37 participants were excluded from the analysis. To ensure consistency in the results, the study focused on 313 respondents who participated in all four waves.
Measures
Respondents were asked to report children’s usage time for three different media devices (smartphones, PC, and tablet PC) divided into weekdays and weekends. Response options for the average amount of time per day on media use were “less than 1 hour,” “1–2 hours,” “2–3 hours,” “3–4 hours,” and “4 hours and more.” To define this categorical variable as a continuous variable, we recoded “less than 1 hour” to “1,” “1–2 hours” to “2,” “2–3 hours” to “3,” “3–4 hours” to “4,” “4 hours and up” to “5.” Sociodemographic characteristics were assessed through self-reporting. Categorical sociodemographic variables included children’s sex assigned at birth (male or female), child’s age (months), parental education level (college degree or other, high school, less than high school, and other) for both mother and father, monthly household income, and cohabitation status with the caregiver (yes or no).
Statistical analysis
Before investigating the effect of COVID-19 on children’s time spent on smart devices, we first examined how the average time spent on each smart device changed over time. We then conducted a repeated measures analysis to see if these changes were significant using a fixed effect model [17] where each participant was considered a block and the dependent variable was the repeated measure of time spent on each smart device. This approach allows one to examine the variation in usage time within an individual, as well as within a wave [18]. Having found that the average time spent on smart devices changed significantly over time, we sought to determine whether this was related to COVID-19. Apropos this, a correlation analysis was performed. However, the time spent on smart devices can also be related to other covariates such as the child’s sex and age. Therefore, a partial correlation analysis was performed to examine the association between COVID-19 and the time spent on smart devices, excluding the effects of children’s demographic and household characteristics such as sex, age in months, income, and parents’ education level. Finally, a general linear model was used to investigate the causal effect of COVID-19 on the screen time of children. As the time spent on smart devices may vary depending on whether it is a weekday or weekend, we examined the effect of COVID-19 on the usage time of devices on weekdays and weekends.
Ethics statement
This study was approved by the Institutional Review Board of the Ajou University School of Medicine, Suwon, South Korea (IRB no. AJOUIRB-SUR-2022-285). Informed consent was obtained from all participants when they were enrolled.
RESULTS
Participants’ demographics
Demographic data are shown in Table 1. Among the 313 participants investigated at the baseline (Wave 4), 50.8% were male and 49.2% were female. The mean age of the participants was 84.3±9.8 months at the baseline. The father’s educational level was college degree or higher in 90.1% cases, high school in 8.9% cases, and less than high school in 0.7% cases, while the mother’s educational levels were 90.8%, 8.9%, and none, respectively. Household income was 1,000,000 won or less in 0.6% cases, 1,000,000–2,000,000 won in 2.9% cases, 2,000,000– 4,000,000 won in 27.8% cases, 4,000,000–6,000,000 won in 41.5% cases, and 6,000,000 won or higher in 27.2% cases. Almost all the children (95.9%) were primarily cared for by their parents; the others were living with single parents or grandparents, etc.
Changes in children’s media use time from Wave 4–7, stratified by weekdays and weekends
We investigated media use time for three types of devices (smartphones, tablet PCs, and PCs) by screen hours on weekdays and weekends. As shown in Figure 1 (Supplementary Table 1), the screen time of all three devices increased significantly on weekdays, whereas PC screen time increased on weekends. Combined results of all devices indicate that screen time showed a significant increase from Waves 4 through 7 (Supplementary Table 2).
Pre/post-COVID-19 effect on children’s screen time
Previously, we set Wave 4 and 5 as the pre-COVID-19 period, and Wave 6 and 7 as the post-COVID-19 period.
We initially aimed to analyze whether there was a significant difference in children’s weekly use of smart devices before and after COVID-19 (Figure 2). The results showed an increase of 8 hours per week post COVID-19, which was statistically significant. However, because this increase in usage time could be due to an increase in children’s age, it was necessary to consider children’s characteristics as covariates.

Changes in weekly smart device usage time of children before and after COVID-19. COVID-19, coronavirus disease-2019.
As shown in Table 2, using a partial correlation to exclude covariate effects, the overall weekly usage time of media devices showed a significant positive correlation (0.356) with COVID-19. Specifically, the weekday usage time demonstrated a relatively strong positive correlation of 0.396, whereas the weekend usage time showed a relatively weaker positive correlation of 0.132. On weekdays, the usage time of PCs, tablet PCs, and smartphones, all exhibited significant positive correlations with COVID-19, whereas on weekends, only the usage times of PCs and tablet PCs showed a significant positive correlation.
Causal relationship between smart device usage time and COVID-19, and variables related to children’s personal characteristics and home environment
We used a general linear model to examine the causal relationship between smart device usage time and variables related to children’s personal characteristics and home environments, including COVID-19 (Table 3). Initially, COVID-19 had a significant positive effect on the average daily smart device usage time during weekdays, implying that the average daily usage time increased by 1.684 hours compared to before the pandemic. Among the covariates considered, fathers’ education did not significantly affect average weekday usage time, whereas mothers’ education levels showed some degree of correlation. Regarding age, average usage time increased by approximately 0.602 hours with each additional year, and higher household income was associated with a tendency toward lower average weekday usage time. Thus, even after excluding the effects of covariates, such as age, income, and parental education, COVID-19 had a significant impact on smart device usage time. Meanwhile, smart device usage time on weekends showed a relatively small effect of COVID-19.
COVID-19 had a significant positive impact (9.575) on the total smart device usage time over the week, meaning that, compared to the pre-COVID period, the combined usage time for the three types of smart devices increased by a total of 9 hours during a week in the post-COVID period.
DISCUSSION
This study examined the longitudinal trends in media device use by young children aged 8–11 years in South Korea from 2018 to 2021. Our findings show that the time spent on media device use increased significantly from Wave 4 to Wave 7 from before to during the COVID-19 pandemic period, and the most striking trend in the categories of devices was on the PC which showed the greatest increase. This increase showed a significant causal relationship even after adjusting for covariates such as children’s age, household income, and parental education levels.
These findings are consistent with those of previous studies on media exposure among young children. A recent systematic review reported increases in children and adolescents’ screen time before and during the initial COVID-19 lockdown [19], although the majority of the studies were cross-sectional. Only eight studies collected data prospectively; none examined the types of screen time or whether the observed increase continued as the pandemic spread. During the COVID-19 pandemic, more than 78% caregivers reported that their children were watching media such as YouTube, and 49% reported that their children were spending more than 6 hours online per day [20]. Another study reported an increase in total screen time among children aged 4–12 years across the US from before to during the COVID-19 pandemic, which persisted as the pandemic progressed [21]; however, the study had a relatively short pre-pandemic follow-up period. Ofcom, the UK’s independent communications regulator, surveyed children aged 3–17 years regarding their media use and attitudes [1], and Lee et al. [22] reported the duration of media use in children aged 2–5 years in South Korea.
There is already substantial evidence suggesting that the use of smart devices increases mental health issues and problematic behaviors in children. Kim et al. [23] suggested that children’s smartphone screen time affected their problematic behaviors during the COVID-19 pandemic. In addition, Liu et al. [24] found that the longer the media usage time, the more severe the depression in children between the ages of 5 and 18 years who used digital media for more than 2 hours a day. The finding that children experience a lack of sleep before depression and suicidal thoughts appear [25], suggests that using digital media at night can be a mediating factor that links depressive symptoms and suicidal thoughts. Additionally, excessive use of digital media can lead to Internet addiction, which occurs more often in children and adolescents with high levels of anxiety, helplessness, negative thinking, and impaired social functioning [24,26]. Our research revealed that increases in screen time continued for over 2 years after the pandemic ended, even after many restrictions were lifted. This implies that more precise clinical guidelines and policies may be required to support parents and their children in reducing screen time both during and after the COVID-19 pandemic.
Meanwhile, through covariate analysis of children’s screen time, we discovered that higher maternal education levels were significantly associated with a decrease in screen time. These findings are consistent with those of previous studies conducted before the pandemic period. Maternal education is inversely associated with preschoolers’ television viewing time [27], and the frequency of tablet use and ownership of mobile devices was inversely related to household income and maternal educational level [28]. This suggests that the higher a mother’s educational level, the more likely she is to prevent her child from being indiscriminately exposed to smart devices; hence, the supervision of children’s access to mobile devices increases with parents’ higher educational level. In contrast, paternal education level did not show a significant correlation with smart device usage time. This discrepancy may be attributed to the greater physical and emotional presence that mothers typically maintain within the household [29,30]. Although this study did not investigate whether the main caregiver was the mother or the father, future research should examine whether the results vary depending on the primary caregiver, considering the growing expectation of fathers’ roles as caregivers in Korea. In addition, inverse socioeconomic gradients in children’s television viewing time were found from the preschool period to the late school period [31], and children of parents with higher education levels had a smaller increase in screen time [32].
This study has several strengths. Using a common protocol to evaluate children’s media use across time and cohorts, the K-CURE study was uniquely able to prospectively measure changes in screen time from the pre-pandemic period to during the pandemic in South Korea. A large majority of the previous research on screen time has been cross-sectional. This study is a longitudinal observation carried out on elementary school students aged 8–11 years before and after the COVID-19 pandemic, whereas earlier research was primarily concentrated on adolescents or adults. One of the limitations of this study is that because remote schooling was uncommon prior to the pandemic, the survey did not evaluate whether children were receiving their education remotely at the time it was conducted, nor did it examine whether screen time was being utilized for this purpose. This may have affected how parents reported their educational screen time during the pandemic period. Furthermore, because parent-reported screen time tends to overestimate or underestimate actual usage, it is possible that parents inaccurately reported their children’s media use, even though it correlates with objectively measured usage. Additionally, as mentioned previously, this study only investigated the amount of smart device usage and did not examine the purposes for which these devices were used. Therefore, further research and analysis of the content accessed by children using these devices is necessary. Moreover, we acknowledge that this study included a single cohort; therefore, it may not be representative of the general Asian population. However, in conclusion, against the backdrop of existing knowledge that the use of smart devices has a negative impact on children’s mental health, our study has been able to ascertain that COVID-19 has had a significant influence on the smart device usage time of elementary school children. We anticipate that further studies will be conducted to explore the purposes and contents of smart device usage.
Supplementary Materials
The Supplement is available with this article at https://doi.org/10.30773/pi.2024.0109.
Children’s average usage time of media devices on weekdays and weekends (N=313)
Change of time spent on smart devices over Wave 4–Wave 7
Notes
Availability of Data and Material
The datasets generated or analyzed during the study are available from the corresponding author on reasonable request.
Conflicts of Interest
The authors have no potential conflicts of interest to disclose.
Author Contributions
Conceptualization: Kyungjun Kim, Yunmi Shin. Data curation: Sangha Lee, Donghee Kim. Formal analysis: Sangha Lee, Saebom Jeon. Funding acquisition: Yunmi Shin. Investigation: Sangha Lee, Donghee Kim. Methodology: Kyungjun Kim, Yunmi Shin. Project administration: Yunmi Shin. Resources: Sangha Lee, Donghee Kim. Software: Saebom Jeon. Supervision: Yunmi Shin. Validation: Sangha Lee, Saebom Jeon.Visualization: Saebom Jeon. Writing—original draft: Kyungjun Kim. Writing—review & editing: Kyungjun Kim, Yunmi Shin, Sangha Lee.
Funding Statement
This research was supported by a grant of the R&D project, funded by the National Center for Mental Health (grant number:MHER22B03).
Acknowledgments
We are grateful to the Suwon the Suwon Child & Adolescent Mental Health Welfare Center for participation in this study.