Psychological aspects of digital device use in children: research landscape based on a bibliometric analysis

 
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Abstract

Context and relevance. Contradictory evidence on how digital devices affect child development—both positively and negatively—calls for a systematic review of existing studies and identification of research gaps. Bibliometric analysis offers an effective way to address this need by identifying key trends in the field. Objective. To identify major trends in research on the psychological aspects of children's use of digital devices and to outline promising avenues for future study. Methods and Materials. We conducted a bibliometric analysis of the OpenAlex database of scientific publications and then used VOSviewer to construct bibliometric maps. The analysis drew on 4,017 papers published between 1974 and 2025. Results. The bibliometric analysis revealed seven clusters, three of which were central: computer science, medical sciences, and a unifying cluster of psychological and pedagogical research. Conclusions. The analysis of the leading clusters highlights a shift in scientific inquiry from studying measurable effects toward analyzing the psychological consequences of digital device and technology use. Psychological and pedagogical research continues to be in high demand, as reflected in its substantial citation counts despite the relative novelty of the field. However, there is a shortage of longitudinal studies on how technology affects child development, as well as a lack of research accounting for cultural differences in digital practices.

General Information

Keywords: bibliometric analysis, children, mental development, digital devices, OpenAlex, VOSviewer

Journal rubric: Developmental Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/pse.2026310211

Funding. The study was supported by the Herzen State Pedagogical University of Russia by an internal grant. Project № 52VG («Factors mediating the influence of the digital environment on cognitive development in preschool and primary school children»).

Received 25.07.2025

Revised 06.11.2025

Accepted

Published

For citation: Kalabina , I.A., Nikolaeva, E.I. (2026). Psychological aspects of digital device use in children: research landscape based on a bibliometric analysis. Psychological Science and Education, 31(2), 157–171. https://doi.org/10.17759/pse.2026310211

© Kalabina I.A., Nikolaeva E.I., 2026

License: CC BY-NC 4.0

Full text

Introduction

The digital space has become integral to modern children's lives and development. As children increasingly engage with digital technologies and the proportion of children using them daily continues to rise (Veraksa et al., 2020; Kalabina, Progackaya, 2021; Nikolaeva, Isachenkova, 2022), nearly every study reports that children exceed the WHO-recommended screen time (Ljubomirović, Grujicic, 2019; Islam, Biswas, Khanam, 2020). At the same time, evidence is growing on both the positive and negative effects of digital technologies on child development (Nikolaeva et al., 2023).

These contradictory findings reflect the complexity of the field, which involves numerous interrelated factors. Further analysis is needed to determine where results converge, which interdisciplinary directions are emerging from new data, and where gaps or contradictions persist, signaling a need for further research. Bibliometric analysis is one tool well suited to this task. It enables the quantitative assessment of scientific communication, the identification of research trends, and the mapping of the research landscape (Rubtsov et al., 2019; Amalou, 2023). The aim of the present study was therefore to identify major trends in research on the psychological aspects of children's use of digital devices and to outline promising directions for future work.

Materials and methods

To achieve this aim, we applied bibliometric analysis methods to the OpenAlex scientific paper database and then constructed bibliometric maps using VOSviewer software. The OpenAlex platform was chosen for its openness, as it provides access to scientific publication metadata without commercial restrictions - an approach that aligns with the principles of open science (Priem et al., 2022). Because OpenAlex has no paid subscriptions and aggregates data from Crossref, PubMed, arXiv, MAG, and other sources, it enables the analysis of current research trends. VOSviewer, meanwhile, is widely used to identify and visualize relationships in academic publications, including co-authorship networks and terminological clusters (Williams, 2020).

The study employed bibliometric analysis of keywords and was aimed at identifying, systematizing, and substantively analyzing the most frequent terminological combinations and their contextual analysis within publications by specific authors and in scientific journals. Metadata analysis of scientific papers allows researchers to determine the thematic profile of a research field (Maltseva, 2020).

We searched OpenAlex using the query "children AND digital device" and then constructed keyword maps in VOSviewer based on the retrieved publications.

Results

Our query returned 4,075 publications from OpenAlex, spanning the years 1957 to 2025. We then screened these sources to assess their relevance to our research topic. The final list included only those publications in which digital technologies or devices were used by or for children in the contexts of education, development, or health. Our inclusion criteria were: (a) participants or research focus – children under 18 years of age; and (b) nature of digital device or technology use – learning, communication, play, health management, or use as a diagnostic tool, rehabilitation aid, or means of monitoring a child's condition by professionals working with children. This process yielded a total of 4,017 publications, covering the period from 1974 to 2025. As shown in Fig. 1, studies were rare before the 2000s, with gradual growth in the following decade. The largest number of publications (2020–2024) coincides with the period when digital technologies became actively integrated into children's lives during and after the pandemic. Data for 2025 are incomplete, as the final retrieval was conducted on July 1, 2025.
According to OpenAlex algorithmic analysis, the publications cover 200 themes at the intersection of technology, health, education, information and communication technology, and social aspects – including digital competence, cybersecurity, and many others. Four leading research avenues emerged: child development and digital technologies (831 publications), teaching methods (118 publications), the impact of technologies on adolescents (100 publications), and ophthalmology and visual impairment (72 publications).

fig. 1
Fig. 1. Distribution of publications by year

Then we constructed a keyword cluster map using VOSviewer (Fig. 2). To ensure the map was both representative and readable, we set a minimum keyword occurrence threshold of 15, which was determined empirically. Lower threshold values resulted in overcrowded maps that made it difficult to analyze and identify major trends, while higher values risked excluding important research directions. In total, 4,099 unique keywords were identified across the uploaded articles, of which 363 words met the occurrence threshold of 15.

fig. 2
Fig. 2. Keyword clusters

The platform's algorithmic analysis identified seven clusters that group terms according to scientific field. The largest cluster (110 terms) is associated with computer science and includes terms such as "artificial intelligence," "human-computer interaction," "multimedia," "computer security," and "machine learning." The second largest (107 terms) covers advanced medical research, including modern assistive devices for children with disabilities and digital healthcare. Its keywords feature "healthcare," "pathology," "psychiatry," "pediatrics," "clinical psychology," "obesity," "mental health," "ophthalmology," and "COVID-19." The third cluster (58 terms) brings together research on psychology and learning, focusing on the impact of technology on education. Key terms here are "psychology," "developmental psychology," "cognitive psychology," "education," "pedagogy," "literacy," "preschool education," "digital learning," "social networks," "neuroscience," and "communication." The fourth cluster (32 terms) reflects research on economic and social processes related to the impact of the pandemic and digitalization, with terms such as "economics," "demography," "economic growth," "political science," "inequality," "poverty," "pandemic," and "digital divide" among others.

The fifth cluster (27 terms) addresses legal and political aspects of modern technologies, including "public relations," "internet," "online privacy," "legislation," "pornography," and "harm." The sixth cluster (20 terms) has a narrowly specialized focus on interdisciplinary research into hearing, speech processes, and language technologies, covering both medical and technological aspects. Its keywords include, for instance, "acoustics," "linguistics," "communication," "audiology," "adaptation," "speech recognition," and "writing". Finally, the seventh cluster (9 terms) encompasses new and interdisciplinary research related to digital culture, with terms such as "gadget," "media use," "curiosity," "popularity," "addiction", etc.
The temporal map of keyword clusters (Fig. 3) reveals a shift in thematic trends: from the study of social and educational aspects of children's technology use in 2017–2019 – a period of active technology development in education and communication – toward health-related research after 2020, driven by the COVID-19 pandemic and increased screen time.

fig. 3
Fig. 3. Temporal map of keyword clusters

Among all the identified clusters, the third one is of greatest interest to us, as it brings together research at the intersection of psychology, pedagogy, and digital technologies. Studies in this cluster focus on how the digital environment affects children's learning, development, and behavior. This cluster serves as a hub connecting the humanities and the exact sciences (Fig. 4). The most pronounced links are with the first cluster – research on digital technologies and education – and with the second cluster – which addresses mental health and neuroscience.
The connections of the core terminology of this cluster revolve around developmental psychology and pedagogy (Fig. 5). Within publications related to developmental psychology, the primary focus is on children's cognitive and emotional development in the digital age. The demand for this research area is reflected in an average citation rate of 10.37, despite the relatively recent nature of the work – the average publication year is 2020.66.

fig. 4
Fig. 4. Visualization of the third cluster's keyword group: interdisciplinary research on the psychological and pedagogical aspects of digitalization
Fig. 5. Visualization of keyword relationships within interdisciplinary research on the psychological and pedagogical aspects of digitalization

 

fig. 5-2
High interest is also reflected in the metrics for research on digital technologies in education and digital literacy, which have an average citation rate of 15.07.

Although the term "screen time" is traditionally associated with psychological and pedagogical research, in our retrieval results it was assigned to the medical research cluster. An analysis of the most cited publications containing this keyword showed a clear connection with the mental health cluster. Modern research views screen time not only as a pedagogical issue but also as a biomedical problem linked to neurological and emotional disorders, including sleep disturbances, increased risk of myopia, anxiety, depression, hyperactivity, and age-dependent medical recommendations for screen time limits (Lanca, Saw, 2020; Lanningham-Foster et al., 2006; Nagata, Magid, Gabriel, 2020).

Next, we analyzed the citation map. When constructing it, we set a citation threshold of 15, chosen as a compromise between broad coverage and selecting the most significant publications. This allowed us to identify papers that have had a substantial impact on the research field. In total, 616 articles met the threshold, of which 161 had connections (Fig. 6).

fig. 6
Fig. 6. Visualization of citations by publications

The main themes and trends emerging from the selected publications can be grouped into the following five areas: 

  1. Impact of digital devices on children's mental development: digital addiction and effects on children's behavior (Domoff, Borgen, Radesky, 2020; Hawi, Samaha, Griffiths, 2019); social and emotional development (Cerniglia, Cimino, Ammaniti, 2020; Konok, 2021; Lai et al., 2028; Limon, Toto, 2021; Limon, Toto, 2022); and cognitive development and executive functions (Messer et al., 2018; Shanmugasundaram, Tamilarasu, 2023).
  2. Parental mediation and the role of the family in children's digital practices (Danet et al., 2022; Konok, Bunford, Miklósi, 2019; Radesky et al., 2016; Veraksa et al., 2021; Wood et al., 2016; Wu et al., 2014).
  3. Digital devices and technologies in children's education (Fleer, 2018; Lieberman, Bates, So, 2009; Papadakis, Kalogiannakis, 2017; Zaranis, Kalogiannakis, Papadakis, 2013).
  4. Health issues related to screen use (Alvarez-Peregina et al., 2020; Foreman et al., 2020; Lanca, Saw, 2020).
  5. Ethical aspects of children's use of digital devices and digital privacy (Lupton, Williamson, 2017; Martin et al., 2021; Sukk, Siibak, 2021; Zhao et al., 2020).

Among the most significant and most cited publications is the study by Radesky, Schumacher, and Zuckerman (2014) on the use of mobile and interactive media by young children.

This research field is characterized by a high degree of international collaboration (Fig. 7). A notable increase in Russian research has also been observed in recent years (Fig. 8). The most cited Russian studies on the impact of digital technologies on children's mental development belong precisely to the psychological and pedagogical research category and focus predominantly on development. (Veraksa et al., 2021a; Veraksa et al., 2021b; Smirnova, Smirnova, Sheina, 2021; Soldatova, Vishneva, 2019; Veraksa et al., 2021).

fig. 7
Fig. 7. Network visualization of scientific collaboration and citations between countries

 

fig. 8
Fig. 8. Temporal network visualization of scientific collaboration and citations between countries
It must be mentioned that Western research clearly dominates, while countries in Asia and Africa remain largely underrepresented. This creates certain gaps in the study of cultural characteristics that shaping children's use of digital technologies.

Discussion

The bibliometric analysis we conducted allowed us to identify key trends in research on the psychological aspects of children's use of digital devices. Although the largest keyword clusters are associated with computer and medical sciences, the unifying cluster is the one focused on psychological and pedagogical research. The high representation of technological and medical research can be explained by the nature of the studied processes. On the one hand, medical and technological research operates with more unambiguous data; on the other hand, it may also reflect a response to obvious threats – namely, the massive transition to online activities across many fields and the impact of the pandemic. Psychological effects (changes in cognitive development, social skills, and emotional regulation) are less visible, delayed over time, and require more complex, longer-term studies to be identified. Furthermore, the impact of digital devices on a child's psyche is almost always mediated by multiple factors, including family socioeconomic status, parenting style, parental education level, content quality among others (Veraksa, Rodova, 2025; Smirnova, Klopotova, 2023; Taruntaev, 2023; Brauchli et al., 2024; Maeneja, Rato, Ferreira, 2025).
The psychological and pedagogical research cluster demonstrates high citation rates and growing integration with neuroscience. At the same time, the proportion of longitudinal studies remains small, which prevents reliable conclusions about long-term effects. This limitation is largely due to the resource intensity and complexity of organizing longitudinal research.
Research on the impact of digital devices on child development also appears in adjacent interdisciplinary clusters related to digital culture and the social aspects of digital technology use.
The identified thematic clusters and trends point to several interrelated approaches for studying the psychological aspects of children's use of digital devices: cognitive and affective consequences, social and environmental dimensions of digital socialization, and child vulnerability in the digital environment.
One of the remaining gaps in this field is the study of cultural differences in children's digital practices. The most cited works predominantly reflect the Western cultural context, which limits the identification of culturally specific factors shaping digital technology use and its impact on child development. An example of how cultural context influences children's digital practices and the development of 21st-century skills is provided by a study conducted in Cameroon (Ngyah-Etchutambe, 2025). This issue becomes particularly relevant in the context of the growing digital divide, where unequal access to technologies exacerbates global social and educational inequality among children (UNICEF, 2017). Access to technology is an important condition for the well-being of modern young people, which underscores the importance of digital equality (Soldatova, Chigarkova, Ilyukhina, 2025).
The results of our analysis are consistent with the conclusions of a methodologically similar 2024 study on the impact of the digital environment on children's cognitive functions and mental health. That study also notes the dominance of mental health research over the study of the cognitive sphere, a pronounced geographical imbalance in favor of developed countries, and methodological challenges associated with investigating the impact of the digital environment on children (Xiao et al., 2024).

Conclusion

Our study identified major trends in research on the psychological aspects of children's use of digital devices and highlighted promising directions for future work. The bibliometric approach we chose allowed us to determine established, quantitatively measurable trends. However, it did not fully capture still-emerging research areas. A significant proportion of medical and technological publications reflects the natural development of scientific research: first, the obvious, measurable, and socially significant aspects of a phenomenon are studied. Then, as data accumulate, attention shifts to the psychological consequences of children's use of digital technologies – a more complex phenomenon. The high citation rate of psychological and pedagogical research attests to both its relevance and its potential.
The gaps identified through our bibliometric analysis – namely, the lack of longitudinal research on how technologies affect child development and the scarcity of studies accounting for cultural differences in digital practices – allow us to propose several promising directions for future research:

  • conducting longitudinal studies from preschool through adolescence to establish causal relationships between children's use of digital devices and technologies and their psychological outcomes;
  • conducting comparative cross-cultural studies that include countries and regions underrepresented in current research;
  • developing validated metrics and assessment tools to evaluate the psychological consequences of children's digital device and technology use at different developmental stages.

Limitations. Our analysis relied on quantitative metrics. We used only the open-access OpenAlex database, which may offer less comprehensive journal coverage than commercial alternatives. The study also has a methodological limitation related to the threshold values set for keyword occurrence and citation rates. While necessary to ensure the representativeness of the maps, this threshold led to the exclusion of some works: recent studies that had not yet accumulated the required number of citations due to the time factor, and niche studies with low mention frequency.

References

  1. Веракса, А.Н., Бухаленкова, Д.А., Чичинина, Е.А., Алмазова, О.В. (2021). Взаимосвязь использования цифровых устройств и эмоционально-личностного развития современных дошкольников. Психологическая наука и образование, 26(1), 27–40. https://doi.org/10.17759/pse.2021260101
    Veraksa, A.N., Bukhalenkova, D.A., Chichinina, E.A., Almazova, O.V. (2021). Relationship Between the Use of Digital Devices and Personal and Emotional Development in Preschool Children. Psychological Science and Education, 26(1), 27–40. (In Russ.). https://doi.org/10.17759/pse.2021260101
  2. Веракса, А.Н., Бухаленкова, Д.А., Чичина, Е.А., Алмазова, О.В. (2020). Особенности использования цифровых устройств современными дошкольниками. Социологические исследования, 6, 82–92. https://doi.org/10.31857/S013216250009455-3
    Veraksa, A., Almazova, O., Bukhalenkova, D., Chichinina, E. (2020). Digital Devices Use by 6-7 Years-Old Children. Sociological Research, 6, 82–92. (In Russ.). https://doi.org/10.31857/S013216250009455-3
  3. Веракса, А.Н., Корниенко, Д.С., Чичинина, Е.А., Бухаленкова, Д.А., Чурсина, А.В. (2021). Связь времени использования дошкольниками цифровых устройств с полом, возрастом и социально-экономическими характеристиками семьи. Наука телевидения, 17(3), 179–209. https://doi.org/10.30628/1994-9529-17.3-179-209
    Veraksa, A.N., Kornienko, D.S., Chichinina, E.A., Bukhalenkova, D.A., Chursina, A.V. (2021). Correlations between Preschoolers’ Screen Time with Gender, Age and Socio-Economic Background of the Families. The Art and Science of Television, 17(3), 179–209. (In Russ.). https://doi.org/10.30628/1994-9529-17.3-179-209
  4. Веракса, А.Н., Родова, С.Д. (2025). Связь использования цифровых устройств и регуляторных функций у дошкольников: родительское участие. Современное дошкольное образование, 19(2), 4–13. https://doi.org/10.24412/2782-4519-2025-2128-4-13
    Veraksa, A.N., Rodova, S.D. (2025). The relationship between the use of digital devices and executive functions in preschoolers: parental involvement. Preschool Education Today, 19(2), 4–13. https://doi.org/10.24412/2782-4519-2025-2128-4-13
  5. Николаева, Е.И., Исаченкова, М.Л. (2022). Особенности использования гаджетов детьми до четырех лет по данным их родителей. Комплексные исследования детства, 4(1), 32–53. (In Russ.). https://doi.org/10.33910/2687-0223-2022-4-1-32-53
    Nikolaeva, E.I., Isachenkova, M.L. (2022). The use of gadgets by children under four years old: Evidence from parents. Comprehensive Child Studies, 4(1), 32–53. https://doi.org/10.33910/2687-0223-2022-4-1-32-53
  6. Рубцов, В.В., Марголис, А.А., Шведовская, А.А., Пономарева, В.В. (2019). Наукометрический анализ культурно-исторического направления в научных публикациях 2009—2019 годов. Культурно-историческая психология, 15(4), 119– https://doi.org/10.17759/chp.2019150412
    Rubtsov, V., Margolis, A., Shvedovskaya, A., Ponomareva, V. (2019). Scientometric analysis of scientific publications in Cultural-Historical Psychology Research area. Cultural-Historical Psychology, 15(4), 119–132. (In Russ.). https://doi.org/10.17759/chp.2019150412
  7. Смирнова, Е.О., Смирнова, С.Ю., Шеина, Е.Г. (2019). Родительские стратегии в использовании детьми цифровых технологий. Современная зарубежная психология, 8(4), 79–87. https://doi.org/10.17759/jmfp.2019080408
    Smirnova, E.O., Smirnova, S.Y., Sheina, E.G. (2019). Parents’ attitude to use of digital technology by young children. Journal of Modern Foreign Psychology, 8(4), 79–87. (In Russ.). https://doi.org/10.17759/jmfp.2019080408
  8. Смирнова, С.Ю., Клопотова, Е.Е. (2023). Взаимодействие детей с цифровыми устройствами: обзор исследований и рекомендаций. Современная зарубежная психология, 12(4), 91–100. https://doi.org/10.17759/jmfp.2023120408
    Smirnova, S., Klopotova, E. (2023). Children’s interaction with digital devices: an overview of research and recommendations. Journal of Modern Foreign Psychology, 12(4), 91–100. https://doi.org/10.17759/jmfp.2023120408
  9. Солдатова, Г.У., Вишнева, А.Е. (2019). Особенности развития когнитивной сферы у детей с разной онлайн-активностью: есть ли золотая середина? Консультативная психология и психотерапия, 27(3), 97–118. https://doi.org/10.17759/cpp.2019270307
    Soldatova, G.U., Vishneva, A.E. (2019). Features of the Development of the Cognitive Sphere in Children with Different Online Activities: Is There a Golden Mean? Counseling Psychology and Psychotherapy, 27(3), 97–118. (In Russ.). https://doi.org/10.17759/cpp.2019270307
  10. Солдатова, Г.У., Чигарькова, С.В., Илюхина, С.Н. (2025). Цифровые предикторы психологического благополучия молодежи в реальном и виртуальном мирах. Вестник Московского университета. Серия 14. Психология, 48(1), 78–100. https://doi.org/10.11621/LPJ-25-04
    Soldatova, G.U., Chigarkova, S.V., Ilyukhina, S.N. (2025). Digital Predictors of Youth Psychological Well-being in Real and Virtual Worlds. Lomonosov Psychology Journal, 48(1), 78–100. https://doi.org/10.11621/LPJ-25-04
  11. Тарунтаев, П.И. (2023). Использование цифровых устройств старшими дошкольниками и уровень развития умственных способностей. Современное дошкольное образование, 5(119), 56–67. https://doi.org/10.24412/2782-4519-2023-5119-56-67
    Taruntaev, P.I. (2023). The use of digital devices by older preschoolers and the level of development of mental abilities. Preschool Education Today, 5:17, 56–67. https://doi.org/10.24412/2782-4519-2023-5119-56-67
  12. Alvarez-Peregrina, C., Sánchez-Tena, M.Á., Martinez-Perez, C., Villa-Collar, C. (2020). The relationship between screen and outdoor time with rates of myopia in Spanish children. Frontiers in Public Health, 8. https://doi.org/10.3389/fpubh.2020.560378
  13. Amalou, S., Brahimi, B. (2023). Mapping the research landscape of organizational climate and performance using bibliometric analysis. Modelling and Data Analysis, 13(3), 7–27. https://doi.org/10.17759/mda.2023130301
  14. Brauchli, V., Edelsbrunner, P., Paz Castro, R., Barr, R., Wyl, A., Lannen, P., Sticca, F. (2024). Screen time vs. scream time: Developmental interrelations between young children’s screen time, negative affect, and effortful control. Computers in Human Behavior, 154, Article 108138. https://doi.org/10.1016/j.chb.2024.108138
  15. Cerniglia, L., Cimino, S., Ammaniti, M. (2020). What are the effects of screen time on emotion regulation and academic achievements? A three-wave longitudinal study on children from 4 to 8 years of age. Journal of Early Childhood Research, 19(2), 145–160. https://doi.org/10.1177/1476718X20969846
  16. Danet, M., Miller, A.L., Weeks, H.M., Kaciroti, N., Radesky, J.S. (2022). Children aged 3–4 years were more likely to be given mobile devices for calming purposes if they had weaker overall executive functioning. Acta Paediatrica, 111(7), 1383–1389. https://doi.org/10.1111/apa.16314
  17. Domoff, S.E., Borgen, A.L., Radesky, J.S. (2020). Interactional theory of childhood problematic media use. Human Behavior and Emerging Technologies, 2(4), 343–353. https://doi.org/10.1002/hbe2.217
  18. Fleer, M. (2018). Digital animation: New conditions for children’s development in play‐based setting. British Journal of Educational Technology, 49(5), 943–958. https://doi.org/10.1111/bjet.12637
  19. Foreman, J., Salim, A.T., Praveen, A., Fonseka, D., Ting, D.S.W., He, M.G., Bourne, R.R.A., Crowston, J., Wong, T.Y., Dirani, M. (2021). Association between digital smart device use and myopia: a systematic review and meta-analysis. The Lancet Digital Health, 3(12), e806–e818. https://doi.org/10.1016/s2589-7500(21)00135-7
  20. Hawi, N.S., Samaha, M., Griffiths, M.D. (2019). The Digital Addiction Scale for Children: Development and Validation. Cyberpsychology Behavior and Social Networking, 22(12), 771–778. https://doi.org/10.1089/cyber.2019.0132
  21. Islam, M., Biswas, R., Khanam, R. (2020). Effect of internet use and electronic game-play on academic performance of Australian children. Scientific Reports, 10, Article 21727. https://doi.org/10.1038/s41598-020-78916-9
  22. Kalabina, I.A., Progackaya, T.K. (2021). Defining Digital Competence for older preschool children. Psychology in Russia: State of the Art, 14(4), 169–185. https://doi.org/10.11621/pir.2021.0411
  23. Konok, V., Bunford, N., Miklósi, Á. (2019). Associations between child mobile use and digital parenting style in Hungarian families. Journal of Children and Media, 14(1), 91–109. https://doi.org/10.1080/17482798.2019.1684332
  24. Konok, V., Liszkai-Peres, K., Bunford, N., Ferdinandy, B., Jurányi, Z., Ujfalussy, D.J., Réti, Z., Pogány, Á., Kampis, G., Miklósi, Á. (2021). Mobile use induces local attentional precedence and is associated with limited socio-cognitive skills in preschoolers. Computers in Human Behavior, 120, 106758. https://doi.org/10.1016/j.chb.2021.106758
  25. Lai, N.K., Ang, T.F., Por, L.Y., Liew, C.S. (2018). The impact of play on child development – a literature review. European Early Childhood Education Research Journal, 26(5), 625–643. https://doi.org/10.1080/1350293X.2018.1522479
  26. Lanca, C., Saw, S. (2020). The association between digital screen time and myopia: A systematic review. Ophthalmic and Physiological Optics, 40(2), 216–229. https://doi.org/10.1111/opo.12657
  27. Lanningham-Foster, L., Jensen, T.B., Foster, R.C., Redmond, A.B., Walker, B.A., Heinz, D., Levine, J.A. (2006). Energy expenditure of sedentary screen time compared with active screen time for children. PEDIATRICS, 118(6), e1831–e1835. https://doi.org/10.1542/peds.2006-1087
  28. Lieberman, D.A., Bates, C.H., So, J. (2009). Young children’s learning with digital media. Computers in the Schools, 26(4), 271–283. https://doi.org/10.1080/07380560903360194
  29. Limone, P., Toto, G.A. (2021). Psychological and emotional effects of digital technology on children in COVID-19 pandemic. Brain Sciences, 11(9), 1126. https://doi.org/10.3390/brainsci11091126
  30. Limone, P., Toto, G.A. (2022). Psychological and Emotional Effects of Digital Technology on digitods (14–18 years): a systematic review.Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.938965
  31. Ljubomirović, N., Grujicic, R. (2019). The modern era: Danger to children, challenge for parents. Psihijatrija danas, 51, 59–67. https://doi.org/10.5937/psihdan1901059l
  32. Lupton, D., Williamson, B. (2017). The datafied child: The dataveillance of children and implications for their rights. New Media & Society, 19(5), 780–794. https://doi.org/10.1177/1461444816686328
  33. Maltseva, D., Batagelj, V. (2020). Towards a systematic description of the field using keywords analysis: main topics in social networks. Scientometrics, 123(1), 357–382. https://doi.org/10.1007/s11192-020-03365-0
  34. Maeneja, R., Rato, J., Ferreira, I.S. (2025). How Is the Digital Age Shaping Young Minds? A Rapid Systematic Review of Executive Functions in Children and Adolescents with Exposure to ICT. Children, 12(5), Article 555. https://doi.org/10.3390/children12050555
  35. Martin, F., Gezer, T., Anderson, J., Polly, D., Wang, W. (2021). Examining parents perception on elementary school children digital safety. Educational Media International, 58(1), 60–77. https://doi.org/10.1080/09523987.2021.1908500
  36. Messer, D., Thomas, L., Holliman, A. et al. (2018). Evaluating the effectiveness of an educational programming intervention on children’s mathematics skills, spatial awareness and working memory. Educ Inf Technol, 23, 2879–2888. https://doi.org/10.1007/s10639-018-9747-x
  37. Nagata, J.M., Magid, H.S.A., Gabriel, K.P. (2020). Screen time for children and adolescents during the coronavirus disease 2019 pandemic. Obesity, 28(9), 1582–1583. https://doi.org/10.1002/oby.22917
  38. Ngyah-Etchutambe, I.B. (2025). Children’s Engagement in Games and the Development of 21st Century Competencies: A Comparison of Indigenous and Digital Games in Late Childhood of View of the Theory of Activity. New Ideas in Child and Educational Psychology, 1-2(5), 3– https://doi.org/10.11621/nicep.2025.0501
  39. Nikolaeva, E.I., Kalabina, I.A., Progackaya, T.K., Ivanova, E.V. (2023). Ground rules for preschooler exposure to the digital environment: a review of studies. Psychology in Russia: State of the Art, 16(4), 37– https://doi.org/10.11621/pir.2023.0403
  40. Papadakis, S., Kalogiannakis, M. (2017). Mobile educational applications for children: what educators and parents need to know. International Journal of Mobile Learning and Organisation, 11(3), 256. https://doi.org/10.1504/ijmlo.2017.085338
  41. Priem, J., Piwowar, H., Orr, R. (2022). OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2205.01833
  42. Radesky, J.S., Eisenberg, S., Kistin, C.J., Gross, J., Block, G., Zuckerman, B., Silverstein, M. (2016). Overstimulated consumers or Next-Generation learners? Parent tensions about child mobile technology use. The Annals of Family Medicine, 14(6), 503–508. https://doi.org/10.1370/afm.1976
  43. Radesky, J.S., Schumacher, J., Zuckerman, B. (2014). Mobile and interactive media use by young children: The Good, the bad, and the unknown. PEDIATRICS, 135(1), 1–3. https://doi.org/10.1542/peds.2014-2251
  44. Shanmugasundaram, M., Tamilarasu, A. (2023). The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review. Frontiers in Cognition, 2. https://doi.org/10.3389/fcogn.2023.1203077
  45. Sukk, M., Siibak, A. (2021). Caring dataveillance and the construction of “good parenting”: Estonian parents’ and pre-teens’ reflections on the use of tracking technologies. Communications, 46(3), 446–467. https://doi.org/10.1515/commun-2021-0045
  46. UNICEF (2017). The State of the World’s Children 2017: Children in a Digital World. https://www.unicef.org/media/48601/file
  47. Van Endert, T.S. (2021). Addictive use of digital devices in young children: Associations with delay discounting, self-control and academic performance. PLoS ONE, 16(6), e0253058. https://doi.org/10.1371/journal.pone.0253058
  48. Veraksa, N., Veraksa, A., Gavrilova, M., Bukhalenkova, D., Oshchepkova, E., Chursina, A. (2021). Short- and Long-Term effects of Passive and active screen time on young children’s phonological memory. Frontiers in Education, 6. https://doi.org/10.3389/feduc.2021.600687
  49. Williams, B. (2020, February 17). Dimensions & VOSViewer Bibliometrics in the reference interview. The Code4Lib Journal. https://journal.code4lib.org/articles/14964
  50. Wood, E., Petkovski, M., De Pasquale, D., Gottardo, A., Evans, M.A., Savage, R.S. (2016). Parent Scaffolding of Young Children When Engaged with Mobile Technology. Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.00690
  51. Wu, C.S.T., Fowler, C., Lam, W.Y.Y., Wong, H.T., Wong, C.H.M., Loke, A.Y. (2014). Parenting approaches and digital technology use of preschool age children in a Chinese community. The Italian Journal of Pediatrics/Italian Journal of Pediatrics, 40(1). https://doi.org/10.1186/1824-7288-40-44
  52. Xiao, N., Huang, X., Li, B., Sun, L., Kiselev, S. (2024). Effects of digital environments on children’s cognitive function and mental health: a bibliometric study. Current Psychology, 43(35), 28038–28052. https://doi.org/10.1007/s12144-024-06476-6
  53. Zaranis, N., Kalogiannakis, M., Papadakis, S. (2013). Using mobile devices for teaching realistic mathematics in kindergarten education. Creative Education, 4(7), 1–10. https://doi.org/10.4236/ce.2013.47a1001
  54. Zhao, F., Egelman, S., Weeks, H.M., Kaciroti, N., Miller, A.L., Radesky, J.S. (2020). Data collection practices of mobile applications played by Preschool-Aged children. JAMA Pediatrics, 174(12), e203345. https://doi.org/10.1001/jamapediatrics.2020.3345

Information About the Authors

Inna A. Kalabina, Candidate of Science (Psychology), Associate Professor, Department of Developmental Psychology and Pedagogy of the Family, Herzen State Pedagogical University of Russia, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-7634-4155, e-mail: innakalabina@mail.ru

Elena I. Nikolaeva, Doctor of Biology, Chair of the Department of Developmental Psychology and Pedagogy of the Family, Herzen State Pedagogical University of Russia, Lecturer at the Institute of Practical Psychology "Imaton", St.Petersburg, Russian Federation, ORCID: https://orcid.org/0000-0001-8363-8496, e-mail: klemtina@yandex.ru

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