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Abstract
The digital environment can pose health risks through exposure to unhealthy content. Yet, little is known about its relation to children’s cognitive functioning. This study investigates the association between digital media (DM) exposure and children’s cognitive functioning. This cross-sectional study is based on examinations of children aged 8–18 years (N = 8673) of the I.Family cohort (2013–2014). Exposure to television, computer, smartphone and internet was self-reported (hours/day). Media multitasking (MMT) was defined as simultaneous use of computers with other digital or non-screen-based activities. Standard instruments were used to assess cognitive inflexibility (score: 0–39), decision-making ability (− 100 to + 100) and impulsivity (12–48). Adjusted regression coefficients and 99.9%CIs were calculated by generalized linear mixed-effects models. In total, 3261 participants provided data for impulsivity, 3441 for cognitive inflexibility and 4046 for decision-making. Exposure to smartphones and media multitasking were positively associated with impulsivity (βsmartphone = 0.74; 99.9%CI = 0.42–1.07; βMMT = 0.73; 99.9%CI = 0.35–1.12) and cognitive inflexibility (βsmartphone = 0.32; 99.9%CI = -0.02–0.66; βMMT = 0.39; 99.9%CI = 0.01–0.77) while being inversely associated with decision-making ability. Extensive smartphone/internet exposure combined with low computer/medium TV exposure was associated with higher impulsivity and cognitive inflexibility scores, especially in girls. DM exposure is adversely associated with cognitive functioning in children and adolescents. Children require protection against the likely adverse impact of digital environment.
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1 Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany (GRID:grid.418465.a) (ISNI:0000 0000 9750 3253)
2 University of Bremen, Faculty of Mathematics and Computer Science, Institute of Statistics, Bremen, Germany (GRID:grid.7704.4) (ISNI:0000 0001 2297 4381)
3 Open University of the Netherlands, Teaching and Learning Centre, Heerlen, The Netherlands (GRID:grid.36120.36) (ISNI:0000 0004 0501 5439)
4 University of Skövde, Department of Public Health, School of Health Sciences, Skövde, Sweden (GRID:grid.412798.1) (ISNI:0000 0001 2254 0954)
5 National Research Council, Institute of Food Sciences, Avellino, Italy (GRID:grid.5326.2) (ISNI:0000 0001 1940 4177)
6 Sahlgrenska Academy, University of Gothenburg, School of Public Health and Community Medicine, Institute of Medicine, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582)
7 University of Rzeszów, Faculty of Medicine, Rzeszów, Poland (GRID:grid.13856.39) (ISNI:0000 0001 2154 3176)
8 Ghent University, Department of Public Health and Primary Care, Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798)
9 University of Pécs, Department of Pediatrics, Medical School, Pécs, Hungary (GRID:grid.9679.1) (ISNI:0000 0001 0663 9479)
10 University of Zaragoza, GENUD (Growth, Exercise, Nutrition and Development) Research Group, Centro de Investigación Biomédica en Red Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain (GRID:grid.11205.37) (ISNI:0000 0001 2152 8769)
11 Fondazione IRCCS, Istituto Nazionale Dei Tumori, Department of Epidemiology and Data Science, Milan, Italy (GRID:grid.417893.0) (ISNI:0000 0001 0807 2568)
12 Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany (GRID:grid.418465.a) (ISNI:0000 0000 9750 3253); University of Cambridge, Cambridge Judge Business School, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000 0001 2188 5934)
13 Research and Education Institute of Child Health, Strovolos, Cyprus (GRID:grid.513172.3)
14 National Institute for Health Development, Department of Chronic Diseases, Tallinn, Estonia (GRID:grid.416712.7) (ISNI:0000 0001 0806 1156)