Abstract
Research and discussions over the relationship between executive function, multimedia viewing, and sedentary human behavior are becoming increasingly popular throughout academia and mainstream media. While some studies report screen-viewing behavior as being associated with reduced levels of physical activity, other studies have also reported associations with higher levels of cognitive activity. The aim of this paper is to establish the relationship between multimedia viewing, sedentary behavior, and executive function. In achieving this aim, the main objectives are to (1) identify a framework to specify core characteristics of visual stimuli that may influence behavior and (2) identify the ways executive functions may mediate the interpretation of visual media. Literature searches were conducted in the Cochrane Library, PsychInfo and PsychArticles, PubMed, Science Direct, Scopus, and Web of Science. Methods of assessment reported in the literature were predominantly reliant on experimenter observation and participant self-report, without psychometric, empirical, or objective measurement of the core variables under study. Despite a sizable proportion of research conducting large-scale experiments and/or secondary analysis of data from longitudinal databases, there were no indications of the characteristics or styles of visual stimuli used. The myriad of published works range in methodological design, resource, and stimuli use or sample population. Raising a question of comparability and replicability, recommendations are made for researchers in reporting multimedia stimuli and importance in addressing the role of cognitive engagement and social interaction within the methodological design and reporting.
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Ackerman, P. L. (1990). A correlational analysis of skill specificity: Learning, abilities, and individual differences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 883–901. https://doi.org/10.1037/0278-7393.16.5.883.
Ackerman, P. L., & Cianciolo, A. T. (2000). Cognitive, perceptual speed, and psychomotor determinants of individual differences during skill acquisition. Journal of Experimental Psychology: Applied, 6, 259–290. https://doi.org/10.1037/1076-898X.6.4.259.
Baller, G., Brand, M., Kalbe, E., & Kessler, J. (2006). Inventar zur Gedächtnisdiagnostik (IGD), Manual. Goettingen: Hogrefe.
Barry, D., Bates, M. E., & Labouvie, E. (2008). FAS and CFL forms of verbal fluency differ in difficulty: A metaanalytic study. Applied Neuropsychology, 15(2), 97–106. https://doi.org/10.1080/09084280802083863.
Benzing, V., Heinks, T., Eggenberger, N., & Schmidt, M. (2016). Acute cognitively engaging exergame-based physical activity enhances executive functions in adolescents. PLoS One, 11(12), e0167501. https://doi.org/10.1371/journal.pone.0167501.
Best, J. R. (2012). Exergaming immediately enhances children’s executive function. Developmental Psychology, 48(5), 1501–1510. https://doi.org/10.1037/a0026648.
Blair, C., & Raver, C. C. (2012). Child development in the context of adversity: experiential canalization of brain and behavior. American Psychologist, 67(4), 309–318. https://doi.org/10.1037/a0027493.
Bovend’eerdt, J., Kemper, H. C. G., & Verschuur, R. (1980). MOPER fitnesstest: Handleiding en Prestatieschalen [The MOPER fitness test: manual and performance scales]. Haarlem: De Vrieseborch.
Broadbent, E., Peri, K., Kerse, N., Jayawardena, C., Kuo, I., Datta, C., & MacDonald, B. (2014, October). Robots in older people’s homes to improve medication adherence and quality of life: a randomised cross-over trial. In International conference on social robotics (pp. 64–73). Cham: Springer. https://doi.org/10.1007/978-3-319-11973-1_7.
Cai, Y., Zhu, X., & Wu, X. (2017). Overweight, obesity, and screen-time viewing among Chinese school-aged children: national prevalence estimates from the 2016 Physical Activity and Fitness in China—the youth study. Journal of Sport and Health Science, 6(4), 404–409. https://doi.org/10.1016/j.jshs.2017.09.002.
Cartwright, M., Hirani, S. P., Rixon, L., Beynon, M., Doll, H., Bower, P., et al. (2013). Effect of telehealth on quality of life and psychological outcomes over 12 months (Whole Systems Demonstrator telehealth questionnaire study): nested study of patient reported outcomes in a pragmatic, cluster randomised controlled trial. British Medical Journal, 346, f653. https://doi.org/10.1136/bmj.f653.
Cobb, B.B., & Mathews, J.J. (1972). A proposed new test for aptitude screening of air traffic controller applicants (FAA-AM-72-18). Washington, DC: U.S. Department of Transportation, Federal Aviation Administration. Retrieved 18/04/19 from National Transportation Library at https://rosap.ntl.bts.gov/view/dot/20997.
Cohen, M., Ylvisaker, M., Hamilton, J., Kemp, L., & Claiman, B. (2010). Errorless learning of functional life skills in an individual with three aetiologies of severe memory and executive function impairment. Neuropsychological Rehabilitation, 20(3), 355–376. https://doi.org/10.1080/09602010903309401.
Corrigan, J. D., & Hinkeldey, N. S. (1987). Relationships between parts A and B of the trail making test. Journal of Clinical Psychology, 43(4), 402–409.
Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis-Kaplan executive function system. San Antonio: Psychological Corporation.
Di Bartolo, C. A., & Braun, M. K. (2017). Screen time. In Pediatrician’s guide to discussing research with patients (pp. 207–223). Berlin: Springer. https://doi.org/10.1007/978-3-319-49547-7_12.
Diamond, A., Barnett, W. S., Thomas, J., & Munro, S. (2007). Preschool program improves cognitive control. Science, 318(5855), 1387–1388. https://doi.org/10.1126/science.1151148.
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750.
Dubow, E. F., Huesmann, L. R., & Greenwood, D. (2007). Media and youth socialization: underlying processes and moderators of effects. In J. E. Grusec & P. D. Hastings (Eds.), Handbook of socialization: theory and research (pp. 404–430). New York: Guilford Press.
Eggenberger, P., Wolf, M., Schumann, M., & de Bruin, E. D. (2016). Exergame and balance training modulate prefrontal brain activity during walking and enhance executive function in older adults. Frontiers in Aging Neuroscience, 8, 66. https://doi.org/10.3389/fnagi.2016.00066.
Ekstrom, R. B., French, J. W., Harman, H. H., & Dermen, D. (1976). Manual for the kit of factor-referenced cognitive tests. Princeton: Educational Testing Service.
Flynn, R. M., & Richert, R. A. (2018). Cognitive, not physical, engagement in video gaming influences executive functioning. Journal of Cognition and Development, 19(1), 1–20. https://doi.org/10.1080/15248372.2017.1419246.
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., et al. (2013). The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Medicine, 10(1), e1001362. https://doi.org/10.1371/journal.pmed.1001362.
Grøntved, A., & Hu, F. B. (2011). Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. Journal of American Medical Association, 305(23), 2448–2455. https://doi.org/10.1001/jama.2011.812.
Guralnik, J., Simonsick, E., & Ferrucci, L. (1994). A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. Journal of Gerontology Medical Sciences, 42(2), 85–94. https://doi.org/10.1093/geronj/49.2.M85.
Hegarty, M., & Waller, D. (2004). A dissociation between mental rotation and perspectivetaking spatial abilities. Intelligence, 32, 175–191. https://doi.org/10.1016/j.intell.2003.12.001.
Higgins, J. P., Altman, D. G., Gøtzsche, P. C., Jüni, P., Moher, D., Oxman, A. D., et al. (2011). The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. British Medical Journal, 343, d5928. https://doi.org/10.1136/bmj.d5928.
Homer, B. D., Plass, J. L., Rose, M. C., MacNamara, A. P., Pawar, S., & Ober, T. M. (2019). Activating adolescents’ “hot” executive functions in a digital game to train cognitive skills: The effects of age and prior abilities. Cognitive Development, 49, 20–32. https://doi.org/10.1016/j.cogdev.2018.11.005.
Innocenti, A., Cammisuli, D. M., Sgromo, D., Franzoni, F., Fusi, J., Galetta, F., & Pruneti, C. (2017). Lifestyle, physical activity and cognitive functions: the impact on the scores of Montreal cognitive assessment (MoCa). Archives Italiennes de Biologie, 155(1–2), 25–32. https://doi.org/10.12871/000398292017123.
Kesse-Guyot, E., Charreire, H., Andreeva, V. A., Touvier, M., Hercberg, S., Galan, P., & Oppert, J. M. (2012). Cross-sectional and longitudinal associations of different sedentary behaviors with cognitive performance in older adults. PLoS One, 7(10), e47831. https://doi.org/10.1371/journal.pone.0047831.
Kommu, P. P. K., Solomon, S., Krishnan, L., Saravanan, S., & Ravichandran, K. (2017). The effect of cartoon on the immediate motor executive function of 4-6 year old children. International Journal of Contemporary Pediatrics, 4(5), 1648–1651. https://doi.org/10.18203/2349-3291.ijcp20173648.
Kucirkova, N., Messer, D., Sheehy, K., & Panadero, C. F. (2014). Children’s engagement with educational iPad apps: insights from a Spanish classroom. Journal of Computers & Education, 71, 175–184. https://doi.org/10.1016/j.compedu.2013.10.003.
Lezak, M. D., Howieson, D. B., Bigler, E. D., & Tranel, D. (2012). Neuropsychological assessment (5th ed.). New York: Oxford University Press.
Lorenz, R. C., Gleich, T., Gallinat, J., & Kühn, S. (2015). Video game training and the reward system. Frontiers in Human Neuroscience, 9, 40. https://doi.org/10.3389/fnhum.2015.00040.
Maillot, P., Perrot, A., & Hartley, A. (2012). Effects of interactive physical-activity video-game training on physical and cognitive function in older adults. Psychology and Aging, 27(3), 589–600. https://doi.org/10.1037/a0026268.
Marusic, U., Giordani, B., Moffat, S. D., Petrič, M., Dolenc, P., Pišot, R., & Kavcic, V. (2018). Computerized cognitive training during physical inactivity improves executive functioning in older adults. Aging, Neuropsychology, and Cognition, 25(1), 49–69. https://doi.org/10.1080/13825585.2016.1263724.
Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., et al. (2005). The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x.
Nowak, N. T., & Moffat, S. D. (2011). The relationship between second to fourth digit ratio, spatial cognition, and virtual navigation. Archives of Sexual Behavior, 40(3), 575–585. https://doi.org/10.1007/s10508-010-9668-2.
Nowak, N. T., Diamond, M. P., Land, S. J., & Moffat, S. D. (2014). Contributions of sex, testosterone, and androgen receptor CAG repeat number to virtual Morris water maze performance. Psychoneuroendocrinology, 41, 13–22. https://doi.org/10.1016/j.psyneuen.2013.12.003.
Ofcom. (2017). Adults’ media use and attitudes. Retrieved 19/01/2018 from Ofcom website at: https://www.ofcom.org.uk/research-and-data/media-literacyresearch/adults/adults-media-use-and-attitudes.
Oswald, W. D., & Fleischmann, U. M. (1997). Das Nürnberger-Alters-Inventar [The Nürnberger-Alters Inventory]. Göttingen: Hogrefe.
Reitan, R. M., & Wolfson, D. (1985). The Halstead-Reitan neuropsychological test battery theory and interpretation. Tucson: AZ Neuropsychology Press.
Rikli, R. E., & Jones, C. J. (2013). Senior fitness test manual. Champaign: Human Kinetics.
Roberts, D. (2018). The engagement agenda, multimedia learning and the use of images in higher education lecturing: or, how to end death by PowerPoint. Journal of Further and Higher Education, 42(7), 969–985.
Rueda, M. R., Fan, J., McCandliss, B. D., Halparin, J. D., Gruber, D. B., Lercari, L. P., & Posner, M. I. (2004). Development of attentional networks in childhood. Neuropsychologia, 42(8), 1029–1040. https://doi.org/10.1016/j.neuropsychologia.2003.12.012.
Ruiz, J. R., Ortega, F. B., Castillo, R., Martín-Matillas, M., Kwak, L., Vicente-Rodríguez, G., Noriega, J., Tercedor, P., Sjöström, M., & Moreno, L. A. (2010). Physical activity, fitness, weight status, and cognitive performance in adolescents. The Journal of Pediatrics, 157(6), 917–922. https://doi.org/10.1016/j.jpeds.2010.06.026.
Ruiz-Ariza, A., Casuso, R. A., Suarez-Manzano, S., & Martínez-López, E. J. (2018). Effect of augmented reality game Pokémon GO on cognitive performance and emotional intelligence in adolescent young. Computers & Education, 116, 49–63. https://doi.org/10.1016/j.compedu.2017.09.002.
Sánchez-Horcajo, R., Llamas-Alonso, J., & Cimadevilla, J. M. (2015). Practice of aerobic sports is associated with better spatial memory in adults and older men. Experimental Aging Research, 41(2), 193–203. https://doi.org/10.1080/0361073X.2015.1001656.
Schneider, W., Eschman, A., & Zuccolotto, A. (2002). E-prime (version 2.0). Pittsburgh, PA: Psychology Software Tools Inc. Retrieved 18/04/2019 from https://pstnet.com/products/e-prime/.
Schuetz, R. L., Biancarosa, G., & Goode, J. (2018). Is technology the answer? Investigating students’ engagement in math. Journal of Research on Technology in Education, 50, 1–15. https://doi.org/10.1080/15391523.2018.1490937.
Sedentary Behavior Research Network. (2012). Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviors”. Journal of Applied Physiology, Nutrition, and Metabolism, 37(3), 540–542. https://doi.org/10.1139/h2012-024.
Sepede, G., Tavino, M., Santacroce, R., Fiori, F., Salerno, R. M., & Di Giannantonio, M. (2016). Functional magnetic resonance imaging of internet addiction in young adults. World Journal of Radiology, 8(2), 210–225. https://doi.org/10.4329/wjr.v8.i2.210.
Tremblay, M. S., Aubert, S., Barnes, J. D., Saunders, T. J., Carson, V., Latimer-Cheung, A. E., et al. (2017). Sedentary behavior research network (SBRN)–terminology consensus project process and outcome. International Journal of Behavioral Nutrition and Physical Activity, 14(1), 75. https://doi.org/10.1186/s12966-017-525-8.
Van Cauwenberge, A., Schaap, G., & Van Roy, R. (2014). “TV no longer commands our full attention”: effects of second-screen viewing and task relevance on cognitive load and learning from news. Computers in Human Behavior, 38, 100–109. https://doi.org/10.1016/j.chb.2014.05.021.
Van der Elst, W., van Boxtel, M. P., van Breukelen, G. J., & Jolles, J. (2005). Rey’s verbal learning test: Normative data for 1855 healthy participants aged 24-81 years and the influence of age, sex, education, and mode of presentation. Journal of the International Neuropsychological Society, 11(3), 290–302. https://doi.org/10.1017/S1355617705050344.
Vandenberg, S. G., & Kuse, A. R. (1978). Mental rotations, a group test of three- dimensional spatial visualization. Perceptual and Motor Skills, 47(2), 599–604. https://doi.org/10.2466/pms.1978.47.2.599.
Wechsler, D. (1997a). Wechsler Adult Intelligence Scale—3rd Edition (WAIS-3R). San Antonio: Harcourt Assessment.
Wechsler, D. (1997b). Wechsler Memory Scale – 3rd Edition (WMS-III). San Antonio: Psychological Corporation.
Wechsler, D. (1999). Wechsler Abbreviated Scale of Intelligence (WASI). San Antonio: Harcourt Assessment.
Yang, F., Helgason, A. R., Sigfusdottir, I. D., & Kristjansson, A. L. (2012). Electronic screen use and mental well-being of 10–12-year-old children. The European Journal of Public Health, 23(3), 492–498. https://doi.org/10.1093/eurpub/cks102.
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McDonnell, D., Hunt, E., Griffin, L. et al. Evaluating the Relationship Between Multimedia Viewing, Sedentary Behavior, and Executive Function: a Systematic Review. J. technol. behav. sci. 4, 318–331 (2019). https://doi.org/10.1007/s41347-019-00097-8
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DOI: https://doi.org/10.1007/s41347-019-00097-8