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From temperament to YouTube: exploring the link between childhood temperament, YouTube usage patterns, and emotional/behavioral problems among children
DC Field | Value | Language |
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dc.contributor.author | Kim, D | - |
dc.contributor.author | Lee, S | - |
dc.contributor.author | Kim, H | - |
dc.contributor.author | Shin, Y | - |
dc.date.accessioned | 2024-07-10T03:11:23Z | - |
dc.date.available | 2024-07-10T03:11:23Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/32659 | - |
dc.description.abstract | Background: YouTube is a widely used video sharing and social networking platform among children and adolescents. However, research on YouTube usage among this population remains scarce. Specifically, studies on factors that influence children and adolescents' usage are clinically significant but largely lacking. Additionally, few studies have examined the association between usage and emotional/behavioral problems, which is fundamental to smartphone research. Therefore, this study explored the relationship between early childhood temperament, subsequent YouTube usage patterns, and emotional/behavioral problems. Methods: The Kids Cohort for Understanding Internet Addiction Risk Factors in Early Childhood (K-CURE) is the first long-term prospective cohort study in Korea aimed at understanding the long-term effects of media exposure on young children. The study included 195 children aged 8–11 years enrolled in the K-CURE study. Caregivers, predominantly mothers, who voluntarily participated during their visits to community centers for children’s mental health in Korea’s major cities, completed a detailed self-administered survey. Childhood temperament was measured in 2018 when the children were 5–8 years old. Subsequent YouTube usage patterns and emotional/behavioral problems were assessed in 2021. Data were analyzed using frequency analysis, correlation analysis, and multiple linear regression. Results: The study found that 21.0% of children started using YouTube before age 4, with the most common onset age being 8–9 years (30.3%). These children used YouTube on average 4.8 days per week for 68.5 min per day. Early childhood persistence was negatively associated with the subsequent YouTube usage duration, and the age at first YouTube use was negatively correlated with subsequent usage frequency. Furthermore, a younger age at first YouTube use and higher usage frequency were significantly associated with increased emotional/behavioral problems. Conclusions: In the YouTube environment, where content is automatically recommended based on user preferences, traits related to usage patterns may be associated with persistence, which is linked to self-regulation. Considering the current trend where children use smartphones, contents frequently for very short durations, our findings highlight the importance of self-regulation in the media usage of children who are still developing. Additionally, our results provide fundamental information for future YouTube studies and illustrate similarities and differences between smartphone and YouTube research. | - |
dc.language.iso | en | - |
dc.subject.MESH | Child | - |
dc.subject.MESH | Child, Preschool | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Problem Behavior | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Republic of Korea | - |
dc.subject.MESH | Social Media | - |
dc.subject.MESH | Surveys and Questionnaires | - |
dc.subject.MESH | Temperament | - |
dc.title | From temperament to YouTube: exploring the link between childhood temperament, YouTube usage patterns, and emotional/behavioral problems among children | - |
dc.type | Article | - |
dc.identifier.pmid | 38849777 | - |
dc.identifier.url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11161939 | - |
dc.subject.keyword | Behavioral problems | - |
dc.subject.keyword | Children | - |
dc.subject.keyword | Emotional problems | - |
dc.subject.keyword | Temperament | - |
dc.subject.keyword | Usage | - |
dc.subject.keyword | YouTube | - |
dc.contributor.affiliatedAuthor | Kim, D | - |
dc.contributor.affiliatedAuthor | Lee, S | - |
dc.contributor.affiliatedAuthor | Kim, H | - |
dc.contributor.affiliatedAuthor | Shin, Y | - |
dc.type.local | Journal Papers | - |
dc.identifier.doi | 10.1186/s12889-024-19011-w | - |
dc.citation.title | BMC public health | - |
dc.citation.volume | 24 | - |
dc.citation.number | 1 | - |
dc.citation.date | 2024 | - |
dc.citation.startPage | 1547 | - |
dc.citation.endPage | 1547 | - |
dc.identifier.bibliographicCitation | BMC public health, 24(1). : 1547-1547, 2024 | - |
dc.identifier.eissn | 1471-2458 | - |
dc.relation.journalid | J014712458 | - |
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