IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0199959.html
   My bibliography  Save this article

Association between mobile technology use and child adjustment in early elementary school age

Author

Listed:
  • Rikuya Hosokawa
  • Toshiki Katsura

Abstract

The time that children spend using digital devices is increasing rapidly with the development of new portable and instantly accessible technology, such as smartphones and digital tablets. Although prior studies have examined the effects of traditional media on children’s development, there is limited evidence on the impact of mobile device use. The current study aimed to clarify the link between mobile device use and child adjustment. The sample included 1,642 children aged 6 in first grade at elementary schools in Japan. Parents completed a self-report questionnaire regarding their children’s use of mobile devices and emotional/behavioral adjustment. We performed inverse probability of treatment weighted (IPTW) logistic regression to compute odds ratios (OR) for emotional/behavioral problems according to mobile device use. The values for IPTW analysis were computed based on variables assessing sociodemographics and child characteristics. Among the participants, 230 (14.0%) were regular users (60 minutes or more on a typical day) and 1,412 (86.0%) non-regular users (under 60 minutes on a typical day). Relative to non-regular use, regular use of mobile devices was significantly linked to conduct problems (IPTW-OR: 1.77, 95% CI: [1.03–3.04], p

Suggested Citation

  • Rikuya Hosokawa & Toshiki Katsura, 2018. "Association between mobile technology use and child adjustment in early elementary school age," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-17, July.
  • Handle: RePEc:plo:pone00:0199959
    DOI: 10.1371/journal.pone.0199959
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0199959
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199959&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0199959?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Fiorini, M., 2010. "The effect of home computer use on children's cognitive and non-cognitive skills," Economics of Education Review, Elsevier, vol. 29(1), pages 55-72, February.
    2. Reiss, Franziska, 2013. "Socioeconomic inequalities and mental health problems in children and adolescents: A systematic review," Social Science & Medicine, Elsevier, vol. 90(C), pages 24-31.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaradat, Maram & Jibreel, Manal & Skaik, Huda, 2020. "Individuals' perceptions of technology and its relationship with ambition, unemployment, loneliness and insomnia in the Gulf," Technology in Society, Elsevier, vol. 60(C).
    2. Hyunah Kang & Ick-Joong Chung & Sehyeon Oh, 2023. "Impact of the COVID-19 Pandemic on the Developmental Outcomes among Korean Kinship Foster Care Children: Gender Differences," Societies, MDPI, vol. 13(9), pages 1-18, August.
    3. Robert S. H. Istepanian, 2022. "Mobile Health (m-Health) in Retrospect: The Known Unknowns," IJERPH, MDPI, vol. 19(7), pages 1-24, March.
    4. Diana Raj & Norafiah Mohd Zulkefli & Zalilah Mohd Shariff & Norliza Ahmad, 2022. "Determinants of Excessive Screen Time among Children under Five Years Old in Selangor, Malaysia: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(6), pages 1-11, March.
    5. Hiranya Sritart & Somchat Taertulakarn & Hiroyuki Miyazaki, 2022. "Disparities in Childhood Obesity Prevalence and Spatial Clustering Related to Socioeconomic Factors in Isaan, Thailand," IJERPH, MDPI, vol. 20(1), pages 1-18, December.
    6. Veronika Konok & Rebeka Szőke, 2022. "Longitudinal Associations of Children’s Hyperactivity/Inattention, Peer Relationship Problems and Mobile Device Use," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    7. Edwin Obwoge Makworo, 2020. "Technology literacy among grade one and two pupils in primary schools in Kisii County, Kenya," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(7), pages 239-246, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nielsen, Line & Koushede, Vibeke & Vinther-Larsen, Mathilde & Bendtsen, Pernille & Ersbøll, Annette Kjær & Due, Pernille & Holstein, Bjørn E., 2015. "Does school social capital modify socioeconomic inequality in mental health? A multi-level analysis in Danish schools," Social Science & Medicine, Elsevier, vol. 140(C), pages 35-43.
    2. Charlotte Meilstrup & Lau Caspar Thygesen & Line Nielsen & Vibeke Koushede & Donna Cross & Bjørn Evald Holstein, 2016. "Does self-efficacy mediate the association between socioeconomic background and emotional symptoms among schoolchildren?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 61(4), pages 505-512, May.
    3. Bulman, George & Fairlie, Robert W, 2015. "Technology and Education: Computers, Software, and the Internet," Santa Cruz Department of Economics, Working Paper Series qt5265z87t, Department of Economics, UC Santa Cruz.
    4. Fairlie, Robert W. & Kalil, Ariel, 2017. "The effects of computers on children's social development and school participation: Evidence from a randomized control experiment," Economics of Education Review, Elsevier, vol. 57(C), pages 10-19.
    5. Karimli, Leyla & Ssewamala, Fred M. & Neilands, Torsten B. & Wells, Christine R. & Bermudez, Laura Gauer, 2019. "Poverty, economic strengthening, and mental health among AIDS orphaned children in Uganda: Mediation model in a randomized clinical trial," Social Science & Medicine, Elsevier, vol. 228(C), pages 17-24.
    6. Benjamin Faber & Rosa Sanchis-Guarner & Felix Weinhardt, 2015. "ICT and Education: Evidence from Student Home Addresses," SERC Discussion Papers 0186, Centre for Economic Performance, LSE.
    7. Altafim, Elisa Rachel Pisani & McCoy, Dana Charles & Linhares, Maria Beatriz Martins, 2018. "Relations between parenting practices, socioeconomic status, and child behavior in Brazil," Children and Youth Services Review, Elsevier, vol. 89(C), pages 93-102.
    8. Slawa Rokicki & Mark E. McGovern, 2020. "Heterogeneity in Early Life Investments: A Longitudinal Analysis of Children's Time Use," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 647-676, September.
    9. Schreier, Alayna & Stenersen, Madeline R. & Strambler, Michael J. & Marshall, Tim & Bracey, Jeana & Kaufman, Joy S., 2023. "Needs of caregivers of youth enrolled in a statewide system of care: A latent class analysis," Children and Youth Services Review, Elsevier, vol. 147(C).
    10. Yekaterina Chzhen & Irene Moor & William Pickett & Emilia Toczydlowska & Gonneke Stevens & UNICEF Innocenti Research Centre, 2016. "Family Affluence and Inequality in Adolescent Health and Life Satisfaction: Evidence from the HBSC study 2002-2014," Papers inwopa836, Innocenti Working Papers.
    11. M. Niaz Asadullah & Anindita Bhattacharjee, 2022. "Digital Divide or Digital Provide? Technology, Time Use, and Learning Loss during COVID-19," Journal of Development Studies, Taylor & Francis Journals, vol. 58(10), pages 1934-1957, October.
    12. T. Gregory & E. Dal Grande & M. Brushe & D. Engelhardt & S. Luddy & M. Guhn & A. Gadermann & K.A. Schonert-Reichl & S. Brinkman, 2021. "Associations between School Readiness and Student Wellbeing: A Six-Year Follow Up Study," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 369-390, February.
    13. Schwerdt, Guido & Chingos, Matthew M., 2015. "Virtual Schooling and Student Learning: Evidence from the Florida Virtual School," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113202, Verein für Socialpolitik / German Economic Association.
    14. Woong Lee & Ran Im, 2023. "An Empirical Assessment of the Interactionist Model: The Relationship Between Household Income and Depression Among Retirees in Korea," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(2), pages 729-751, April.
    15. Jennifer M. Arbiol & Angelie V. Cabajes & Rey Jan S. Pusta, 2021. "Ok or Not Ok: Mental Health Conditions of the Students amidst COVID-19," Technium Social Sciences Journal, Technium Science, vol. 21(1), pages 544-553, July.
    16. Wisuwat Chujan & Weerachart T. Kilenthong, 2019. "Short-term Impact of an Early Childhood Curriculum Intervention in Rural Thailand," Working Papers 2019-077, Human Capital and Economic Opportunity Working Group.
    17. Robert Fairlie & Jonathan Robinson, 2011. "The Effects of Home Computers on Educational Outcomes. Evidence from a Field Experiment with Schoolchildren," Working Papers 11-14, NET Institute, revised Sep 2011.
    18. Yu-Chun Lin & Yu-Hung Chang & Huang-Ting Yan, 2020. "Is trade a blessing or a curse? A panel data analysis of the determinants of depressive disorders," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(7), pages 1113-1121, September.
    19. Agne Suziedelyte, 2012. "Can video games affect children's cognitive and non-cognitive skills?," Discussion Papers 2012-37, School of Economics, The University of New South Wales.
    20. Jackson, Margot I., 2015. "Early childhood WIC participation, cognitive development and academic achievement," Social Science & Medicine, Elsevier, vol. 126(C), pages 145-153.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0199959. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.