June 2020
Volume 61, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2020
Viewing Behavior of Children Using Mobile Phones
Author Affiliations & Notes
  • Renfeng Xu
    Ophthalmology, University of Nebraska Medical Center, Omaha, Nebraska, United States
    Optometry, Indiana University, Bloomington, Indiana, United States
  • Matt Jaskulski
    VisionApp Solutions S.L., Spain
    Optometry, Indiana University, Bloomington, Indiana, United States
  • Benjamin Bradley
    Optometry, Indiana University, Bloomington, Indiana, United States
  • Pete S Kollbaum
    Optometry, Indiana University, Bloomington, Indiana, United States
  • Ronald R Krueger
    Ophthalmology, University of Nebraska Medical Center, Omaha, Nebraska, United States
  • Footnotes
    Commercial Relationships   Renfeng Xu, None; Matt Jaskulski, None; Benjamin Bradley, None; Pete Kollbaum, None; Ronald Krueger, None
  • Footnotes
    Support  NIH grant K08
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 1924. doi:
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      Renfeng Xu, Matt Jaskulski, Benjamin Bradley, Pete S Kollbaum, Ronald R Krueger; Viewing Behavior of Children Using Mobile Phones. Invest. Ophthalmol. Vis. Sci. 2020;61(7):1924.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Myopia is one of the leading causes of vision loss globally. Numerous studies have shown that myopia is associated with near viewing behaviors, which currently include reading, communicating and entertainment on hand-held electronic devices. Hyperopic defocus is believed to trigger active eye growth, and when children view near targets the image plane is likely to be behind the retina due to accommodative lag. We hypothesized that children employ close viewing distances that vary with the type of stimulus being displayed on a mobile device.

Methods : Viewing distance between the face and device were obtained from a commercial software (VisionApp) when children viewed a hand-held electronic device (Google Pixel 3). Twenty children (10 myopic; 10 emmetropic) between 6 and 12 years of age watched a movie (from YouTube Kids) with room lights on (226 Lux), watched a movie with lights off (0.1 Lux), read small text (1.45mm, 8 pt type, 1M), read large text (3.0mm, 16 pt type, 2M), and played a video game (Minecraft), in a random sequence. Viewing distance was continuously monitored for 5 minutes for each task at a sample rate of 15 f/s. Average distances were reported once per second.

Results : Viewing distance was accurately reported over the range of 50 cm to 6.7 cm (-15 Diopters) with a RMSE of 2.7mm and high tolerance to phone rotation (±20 degrees). Mean viewing distance across all subjects and all tasks was 24cm, which was reduced to 21 cm when children read small sized text and increased to 27cm when watching movies in dark or playing video games. Viewing distance was often stable over the 5-minute period (mean SD = 4.8cm).

Conclusions : Children using mobile electronic devices employ closer viewing distances than often reported for adults (24cm vs. 40-50cm). This close viewing distance may make them prone to sustained hyperopic defocus secondary to increased accommodative lags at near.

This is a 2020 ARVO Annual Meeting abstract.

 

An example of 1 subject data of Viewing distance (mm) as a function of time (second) for different stimuli. Viewing distance is defined as the distance from the eye to the cellphone.

An example of 1 subject data of Viewing distance (mm) as a function of time (second) for different stimuli. Viewing distance is defined as the distance from the eye to the cellphone.

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