Longitudinal Investigations of Autoregressive Cross-Lagged Path Models Among Internet Use, Executive Function Problems, and Maternal Control in Young Korean Children

Song, Hana

doi:10.3389/fpsyt.2022.846995

Cited by 4 publications

(10 citation statements)

References 49 publications

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“…Causes/factors that affect digital interaction was the most popular theme appearing in 22 articles. Firstly, screen time is found to be a prevalent indicator for addiction and dependence (Lee and Kim, 2021a;Song, 2022). However, it was also pointed out that instead of screen time, the type of content/media and purpose of use has a more significant impact on addiction (Hong, 2022;Lee and Kim, 2021a;Oh et al, 2020;Song, 2022).…”

Section: Causes/factors That Affect Digital Wellbeingmentioning

confidence: 99%

“…Firstly, screen time is found to be a prevalent indicator for addiction and dependence (Lee and Kim, 2021a;Song, 2022). However, it was also pointed out that instead of screen time, the type of content/media and purpose of use has a more significant impact on addiction (Hong, 2022;Lee and Kim, 2021a;Oh et al, 2020;Song, 2022). Internal factors such as children's temperamental/risk type (Hong, 2022;Kim, 2022;Song, 2022), psychological aspect which includes emotional stability (Hong, 2022;Kim and Jahng, 2021;Kim and Kang, 2022;Kim, 2022;Lee and Mun, 2022), playfulness (Kim and Kang, 2022), self-esteem (Lee and Kim, 2021b;Kim and Park, 2021), and mental health (Jeong et al, 2019;Kim, 2022;Lee and Mun, 2022) were associated with how they interact with and are affected by digital interaction.…”

Section: Causes/factors That Affect Digital Wellbeingmentioning

confidence: 99%

“…However, it was also pointed out that instead of screen time, the type of content/media and purpose of use has a more significant impact on addiction (Hong, 2022;Lee and Kim, 2021a;Oh et al, 2020;Song, 2022). Internal factors such as children's temperamental/risk type (Hong, 2022;Kim, 2022;Song, 2022), psychological aspect which includes emotional stability (Hong, 2022;Kim and Jahng, 2021;Kim and Kang, 2022;Kim, 2022;Lee and Mun, 2022), playfulness (Kim and Kang, 2022), self-esteem (Lee and Kim, 2021b;Kim and Park, 2021), and mental health (Jeong et al, 2019;Kim, 2022;Lee and Mun, 2022) were associated with how they interact with and are affected by digital interaction. Meanwhile, external factors such as economy , peer relationships (Ju, 2019;Kim and Kang, 2022), and COVID-19 were also contributing factors which affect children's interaction with digital devices indirectly, impacting their DW.…”

Section: Causes/factors That Affect Digital Wellbeingmentioning

confidence: 99%

“…Meanwhile, external factors such as economy , peer relationships (Ju, 2019;Kim and Kang, 2022), and COVID-19 were also contributing factors which affect children's interaction with digital devices indirectly, impacting their DW. Parents also influenced children's DW though parental control (Cho, 2021;Kim and Choi, 2020;Lee and Kim, 2021b;Nam and Hwang, 2019;Park and Noh, 2019;Song, 2022;Yoo and Choi, 2021), parent's perception towards digital devices Nam and Hwang, 2019), parent's attitude/behavior towards the child (Cho, 2021;Kim and;Choi, 2020;Lee and Kim, 2021b;Lee and Mun, 2022;Yoo and Choi, 2021), family interaction/parent-child relationship (Han and Chang, 2020;Ju, 2019;Kim and Jahng, 2021;Lee and Kim, 2021;Lim and Jeong, 2022), parent's habits in using digital devices (Lee and Kim, 2021b;Lim and Jeong, 2022;Son et al, 2021), and parent's mental health Oh et al, 2021;Park and Noh, 2019). Additionally, parenting factors are often influenced by the external factors such as economic stress and COVID-19 , further illustrating how external factors can indirectly affect DW.…”

Section: Causes/factors That Affect Digital Wellbeingmentioning

confidence: 99%

“…List of reviewed literature organized by themeHan and Chang, 2020;Hong, 2022;Jeong et al, 2019;Ju, 2019;Kim and Kang, 2022;Kim and Jahng, 2021;Kim and Park, 2021;Kim and Choi, 2020;Kim, 2022;Lee and Kim, 2021a;Lee and Kim, 2021b;Lee and Mun, 2022;Lim and Jeong, 2022;Nam and Hwang, 2019;Oh et al, 2021;Oh et al, 2020;Park and Noh, 2019;Son et al, 2021;Song, 2022; Yoo and Choi, 2021 Effect of digital interaction towards wellbeingAhn et al, 2017;Choi et al, 2021;Jeong et al, 2019;Lee, 2020;Lee and Lee, 2021;Lee and Park, 2022;Moon et al, 2016;Park et al, 2022; Yoon et al, 2021 Factors of digital wellbeing An andKang, 2019;Eoh et al, 2022;Hong, 2021;Kim and Jung, 2021;Nam, 2021;Yang et al, 2021 Solutions/initiatives to improve digital wellbeingJo and Bang, 2022;Kim and Kim, 2019;Kim and Jung, 2021;King et al, 2018 …”

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confidence: 99%

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Visualizing the Complex Problem of Children's Digital Wellbeing in South Korea: A Systems Thinking Approach

Widjaja,

Baek

2023

Proc. Des. Soc.

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Considering the prevalence of digital interaction within the Generation Alpha, this study focuses on the digital wellbeing of elementary school-aged children in South Korea. By taking into account the multi-faceted nature, this study frames the issue that exists within children's digital wellbeing as a complex problem and aims to have a better comprehensive understanding of the system using a designerly and systems thinking approach. Thus, this study conducts a Systematic literature review and thematic analysis to get grasp of the current situation which then is translated using a systems thinking-based visualization tool to convey the causal relationships that exist within the system. Therefore, the outcome of this study presents a concept map that consolidates the findings to communicate a holistic perspective of children's digital wellbeing which can be used in design activities and decision-making processes which contribute to future design solutions and conversations.

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Section: Causes/factors That Affect Digital Wellbeingmentioning

confidence: 99%

Section: Causes/factors That Affect Digital Wellbeingmentioning

confidence: 99%

Section: Causes/factors That Affect Digital Wellbeingmentioning

confidence: 99%

Section: Causes/factors That Affect Digital Wellbeingmentioning

confidence: 99%

mentioning

confidence: 99%

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Visualizing the Complex Problem of Children's Digital Wellbeing in South Korea: A Systems Thinking Approach

Widjaja,

Baek

2023

Proc. Des. Soc.

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Visualizing the Complexity of Children’s Digital Well-Being in South Korea: A Systems Thinking Approach Based on the Systematic Literature Reviews

Widjaja,

Baek

2023

adr

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Problematic Media Use among Children up to the Age of 10: A Systematic Literature Review

Rega

Gioia

2023

IJERPH

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Introduction: Digital screen media use has significantly grown in all age groups and at an increasingly young age, including toddlers, schoolers, and primary school children. Although there is evidence that excessive early childhood media exposure can lead to several negative developmental outcomes, no systematic review on Problematic Media Use (PMU) of children under 10 years old have been provided. The aim of the present systematic review was to identify (i) the main instruments used to measure children’s PMU across different studies; (ii) the risk and protective factors which might increase or reduce children’s PMU; and (iii) the negative outcomes associated with children’s PMU. Methods: This study was conducted following the systematic review guidelines proposed in the PRISMA statement. A total of 35 studies published between 2012–2022 and with a mean sample age between 0 and 10 years old were ultimately included in this literature review. Results: Use of media for more than 2 h a day, male gender, and higher age increased the risk of developing PMU among children. PMU led to several negative consequences for children’s development and well-being (e.g., more problematic behaviors, sleep problems, higher depressive symptoms, lower emotional intelligence, and lower academic achievements). Children who experienced negative psychological symptoms, a dysfunctional parent–child relationship, and difficulties in school context were more prone to develop PMU. However, an authoritative parenting style and restrictive parental mediation reduced the risk of developing PMU among children. Finally, self-report measures specifically designed to get the younger children’s perspective are still few and not so widely used. Conclusions: Overall, this research field is still in its infancy and needs further investigation. Likely, a dysfunctional family system can lead children to experience emotional distress and negative psychological symptoms, which they try to manage by escaping into the virtual world, thus increasing the risk of developing PMU. As the children’s PMU is closely affected by the family environment, future prevention interventions should target both children and their parents to improve their self-regulatory and mentalizing capabilities, as well as parental mediation strategies and general parenting practices.

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Longitudinal Investigations of Autoregressive Cross-Lagged Path Models Among Internet Use, Executive Function Problems, and Maternal Control in Young Korean Children

Cited by 4 publications

References 49 publications

Visualizing the Complex Problem of Children's Digital Wellbeing in South Korea: A Systems Thinking Approach

Visualizing the Complex Problem of Children's Digital Wellbeing in South Korea: A Systems Thinking Approach

Visualizing the Complexity of Children’s Digital Well-Being in South Korea: A Systems Thinking Approach Based on the Systematic Literature Reviews

Problematic Media Use among Children up to the Age of 10: A Systematic Literature Review

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