Loading...

JOURNAL OF NEUROSCIENCE AND NEUROSURGERY (ISSN:2517-7400)

Screen Time Effects

Kathy Sexton-Radek1*

1 Suburban Pulmonary and Sleep Associates, Elmhurst College, Elmhurst, Ilinois, United States

CitationCitation COPIED

Sexton-Radek K. Screen time effects. J Neurosci Neurosurg. 2019 Sep;2(3);137

 © 2019 Sexton-Radek K. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 international License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Keywords

Screen time; Smartphones; Laptops; Video games; Eye damage; Blue light

Electronic device use that inundates our society involves screen use affects [1]. The frequent use of smartphones, tablets, laptops, computers and video games translates to many individuals becoming exposed to the light sources from those devices with the visual displays for the devices varies with a range of 500-2500 lux [2]. Further, the distance between the device emitting the light and the user varies from 2 inches to approximately 15 feet. Ergonomic studies of light are traditionally completed on a stationary light source with metric for light. This has not been the case for current devices and device users.

In extreme conditions such as internet gaming addiction, imaging studies have identified a reduction in cortical gray matter from the extended screen time [3]. Compromised white matter integrity, overall reduced cortical thickness has been identified and associated with reductions in dopamine function and resultant behaviors. In these conditions, the cortical atrophy and subsequent behavioral deficits have been found to be cravings, increased impulsivity, increased sensitivity to rewards, insensitivity to loss and less information processing [3-5]. Other studies have measured changes in visual information processing as a result of decrements in saccadic eye movements [5]. The tracking of saccadic eye movements has been found to relate to the emotional value of the visual target [6,7]. Survey studies of adolescents with infrequent screen use as compared to same age peers were happier, comparatively [5-7].

Researchers have identified from animal studies that, the association between drug addiction and screen addiction [7-9]. The fast paced, constant stimuli of continuous visually vivid media reset the brain. The brain reset takes the form of increased release of dopamine and glutamate that subsequently becomes depleted. A reduction in dopamine receptor affinity was also identified [7,8]. Both factors lead to focused, intensity seeking of the media stimulation by the laboratory animals. Addiction features in human include compulsions to use the substance, withdrawal symptoms when not using, abandonment of all activities and relationships, not related to the substance seeking and tolerance for the substance. Here, however the analogy breaks down in that type and pace of media that is analogous to screen use for animals and for humans I unknown. To address the human situation, the American Pediatric Association issued a “2X2” statement indicating no media use for 2 years and younger an d2 hours use, maximally for children [8]. A recent modification of this was the implication of the Neurologic suggestion that parents adopt a “media monitor” role [1,8].

Screen-related dependencies include: Internet Addiction Disorder, Internet Gaming Disorder, Problematic Internet Use, Compulsive Internet Use, Pathological Video Game Use, Video Game Addiction, Pathological Technology Use, Online Game Addictions, Pathological Technology Use, Online Game Addiction, Mobile Phone Dependence, Social Network Site Addiction, Facebook Addiction, Internet Pornography Addiction [5,8]. These conditions are problematic and of interest to the Neurologist. Neurological dysfunction is commonly seen with screen-related dependencies [7,8].

In conclusion, it seems that the pace of the screen time is significant as well as the extended use. However, more research is necessary to conclude what pace of programs viewed on various screens for what period is inconclusive now. Evidence is mounting about brain changes from imaging scans of children and teenagers’ brains and eye damage with excessive screen time are provided in the literature [8,9]. Here again, the type, pace and extent of use converging into dangerous use is uncertain. The American Pediatric Association view of 2 hours minimally to children, no screen time for those under 2 years and a media monitor role of parents represents guidance on the situation. Studies examining the use of screen filters and anti-blue light glasses have found indicate not only their usefulness as well as reductions in eye fatigue [10,11]. Extensive blue light may cause eye damage. In these studies, analysis of animal models identified the deterioration of the blood retinal barrier [10,11]. In addition to eye damage, the blue light can stimulate the brain and influence circadian rhythm and resultant sleep quality [9,11]. In the absence of specific research on the timing and pace of screen use as it affects the viewer exists, these palliative approaches may be useful until more exacting conclusions about the type and extent of screen use affecting the user are known. 

References

  1. Dunckley VL. Gray Matters: too Much Screen Time Damages the Brain. Psychology Today. 2014.
  2. Andreassen CS, Pallesen S. Social network site addiction—an  overview. Curr Pharm Des. 2014;20(25):4053-4061.
  3. Lee SM, Peltsch A, Kilmade M, Brien DC, Coe BC, et al., NeuralCorrelates of Predictive Saccades. J Cogn Neurosci. 2016Aug;28(8):1210-1227.
  4. Sigman A. Screen Dependency Disorders: A new challenge for Child Neurology. Journal of International Child Neurology Association. 2017 Apr;17(119):1-13.
  5. Vance E. What Screen Addiction and Drug Addiction Heat inCommon. NOVA NEXT. Wed Oct 24, 2018.
  6. Twenge JM, Martin GN, Campbell WK. Decreases in psychologicalwell-being among American adolescents after 2012 and links to  screen time during the rise of smartphone technology. Emotion.2018 Sep;18(6):765-780.
  7. Bonifacci P, Ricciardelli P, Lugli L, Pellicano A. Emotional attention: effects of emotion and gaze direction on overt orienting of visualattention. Cogn Process. 2008 May;9(2):127-135.
  8. Sigman A. Virtually Addicted: Why general practice must now confront screen dependency. Br J Gen Pract. 2014Dec;64(629):610–611.
  9. Carter B, Rees P, Hale L, Bhattacharjee D, Paradkar MS. Association Between Portable Screen-Based Media Device Access or Use andSleep Outcomes: A Systematic Review and Meta-analysis. JAMAPediatr. 2016 Dec 1;170(12):1202-1208.
  10. Zhao Z-C, Zhou Y, Tan G, Li J. Research progress about theeffect and prevention of blue light on eyes. Int J Ophthalmol.2018;11(12):1999–2003.
  11. Chi CF, Lin YH. Effects of using a screen filter on call center workers’ visual fatigue measurement. Percept Mot Skills. 2009Feb;108(1):229-238.