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

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  • 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
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    References listed on IDEAS

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    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.
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    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. Robert S. H. Istepanian, 2022. "Mobile Health (m-Health) in Retrospect: The Known Unknowns," IJERPH, MDPI, vol. 19(7), pages 1-24, March.
    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.

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