Evidence map›Paper›PMID 41604626›Full record

ArticleJMIR human factors2026

Parental Influence on Children's Media Use in South Korea: National Population-Based Study.

Ji Young Kim, Ah Jung Yang, Hye Eun Lee

Abstract read
In one paragraph

Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ji Young KimDepartment of Psychology, School of Behavioral Sciences and Education, Pennsylvania State University, Middletown, PA, United States.ORCID 0000-0003-0520-1680
Ah Jung YangCommunication & Media Research Center, College of Social Science, Ewha Womans University, Seoul, Republic of Korea.ORCID 0009-0001-1499-4646
Hye Eun LeeDepartment of Communication & Media, College of Social Science, Ewha Womans University, #403 Ewha-POSCO, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea, 82 0232776937.ORCID 0000-0002-7043-3640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To better understand the effects of media use on children, it is essential to examine the various factors influencing the media use of digital native children. In the situational context, parental media usage, parents' attitudes toward media, and parenting styles have all been identified as significant factors influencing children's media use. This study focuses on the key factors and examines these relationships in greater depth, drawing on existing research to understand their impact on the media usage patterns of digital native children. Objective: This study examines parental influences related to young children's media use in Korea over a 3-year period (2022-2024) using independent, nationally representative cohorts. Methods: Using multigroup structural equation modeling, we analyzed data from 3 independent parent-reported cohorts (for 2022, n=1058; for 2023, n=1020; for 2024, n=1020) to investigate how parental media habits, attitudes, and distinct parenting styles predict children's daytime and nighttime media consumption. Results: The online survey results revealed that parental media time, particularly for mothers, consistently correlated with higher levels of children's daytime media use (β=.002-.003). Positive parental attitudes toward media increased children's daytime media use (β=.028-.102), whereas negative attitudes had a limited effect (β=-.069-.140). Among the 7 parenting styles, positive parenting consistently reduced children's daytime media use in 2022 and 2023 (β=-.228 for 2022, β=-.215 for 2023), but harsh punishment emerged as the strongest factor in daytime media use in 2024 (β=-.078 for 2022, β=-.090 for 2023, and β=-.072 for 2024). Notably, parenting styles showed no significant effect on children's nighttime media use throughout the study, suggesting that parental influence may be more effective during daytime hours. Conclusions: This analysis extends existing research by differentiating media use patterns across time periods and highlights the evolving influence of parenting styles. These findings have implications for the development of targeted parental guidelines for managing young children's media exposure, especially as digital media continues to become a pervasive part of daily life.

Indexed as

Parent-Child RelationsParentingParentsChildChild, PreschoolDigital MediaFemaleHumansMaleMedia ExposureRepublic of KoreaSurveys and Questionnaireschildren media useparental mediationparent attitudeparenting styleparent media use

Identifiers

PMID41604626
PMCPMC12851523

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.