Evidence map›Paper›PMID 36044246›Full record

ArticleJournal of medical Internet research2022

Digital Device Exposure and Cognition Levels of Children in Low- and Middle-Income Countries: Cross-sectional Study in Cambodia.

Hye Hyeon Kim, JooHyun Lee, Ho Heon Kim, Sangho Hwang, Ilcheong Yi, Sambath Kao, DooRa Kim, Hyuk-Sang Sohn, Joohye Kim, Yejin Choi and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Hye Hyeon Kim *Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-1928-4168
JooHyun Lee *Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-3901-5846
Ho Heon KimDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-7260-7504
Sangho HwangDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-8031-2762
Ilcheong YiUnited Nations Research Institute for Social Development, Geneva, SwitzerlandORCID 0000-0002-3275-6633
Sambath KaoDepartment of Malnutrition and Neurology, National Pediatric Hospital, Phnom Penh, Cambodia.ORCID 0000-0001-8954-7579
DooRa KimDoBrain Inc, Seoul, Republic of Korea.ORCID 0000-0002-0178-7365
Hyuk-Sang SohnGraduate School of Public Policy & Civic Engagement, Kyung Hee University, Seoul, Republic of Korea.ORCID 0000-0001-6500-4350
Joohye KimDepartment of Special Education, Baekseok University, Cheonan, Republic of Korea.ORCID 0000-0002-3554-7052
Yejin ChoiDoBrain Inc, Seoul, Republic of Korea.ORCID 0000-0003-1074-8154
Sangchul YoonDepartment of Medical Humanities and Social Sciences, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0454-9597
Yu Rang ParkDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-4210-2094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolicy makers and practitioners in low- and middle-income countries (LMICs) are increasingly focusing on the effectiveness of digital devices in the delivery of medical and educational services to children under resource constraints. It is widely known that digital literacy can be fostered through exposure to and education regarding digital devices, which can improve children's academic performance as well as their search and communication skills in the digital era. However, the correlation between the cognitive function of children and exposure and intensity of the exposure to digital devices has rarely been studied, and the association between digital device exposure and the socioeconomic characteristics and cognitive development of children in LMICs is unknown.

objectiveThis study examines the association among exposure to digital devices, socioeconomic status, and cognitive function in children aged 3 to 9 years in Cambodia.

methodsWe used a survey of 232 children that gathered data on familiarity with digital devices, demographic characteristics, and socioeconomic status, as well as a Cambridge Neuropsychological Test Automated Battery test for cognitive function, to examine the association between possible barriers and factors that may influence the cognitive function of children in 2 Cambodian schools from April 22, 2019, to May 4, 2019. A comparative analysis was performed with and without digital exposure, and an association analysis was performed among the variables from the survey and cognitive function.

resultsSignificant differences were observed in demographic and socioeconomic characteristics such as school location, family type, and family income according to digital device exposure. The results of the Cambridge Neuropsychological Test Automated Battery tests, except for 1 test related to executive function, indicated no significant differences (P>.05) between group A and group B or among the 4 subgroups. Pretest digital device experience and amount of time spent using digital devices during the test had no significant impacts on the cognitive development of the children. Conversely, the multivariate analyses showed that cognitive function was associated with educational expenses per child, school (location), family type, and family income.

conclusionsThese results provide evidence to policy makers and practitioners on the importance of improving socioeconomic conditions, leading to investment in education by implementing programs for children's cognitive development through digital devices in LMICs.

Indexed as

Developing CountriesIncomeCambodiaChildCognitionCross-Sectional StudiesHumanschildrencognitive functiondigital device exposurelow- and middle-income countriessocioeconomic status

Identifiers

PMID36044246
PMCPMC9475408

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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.