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Proportion of Myopia among Youth Athletes across Different Sports and Locations

Stewart-Bates, Emma

Abstract Details

2020, Master of Science, Ohio State University, Vision Science.
Many factors are involved in the development of myopia, including time spent outdoors during childhood and teenage years. However, aspects such as the precise amount of time outdoors required to prevent myopia and variations in light intensity on this process are not well understood. Surveys were distributed electronically to coaches of youth baseball and soccer teams across the United States and included questions about the number of hours their athletes practice per week during each season, the total number of athletes on their team, and the number of athletes who wear glasses or contact lenses to see far away. The survey responses were sorted by the location of team (northern or southern United States) as well as type of sport (baseball or soccer). Z scores were used to compare the overall proportion of myopia to population estimates: Kleinstein et al. (2012) = 16%, Holden et al. (2016) (ages 15-19) “2000” = 20% and “2050” = 33%. A two-way analysis of variance (ANOVA) tested for differences across sport and location. The proportion (± SD) of athletes with myopia were as follows: all teams (n = 1610, 19% ± 1%), northern teams (n = 598, 21% ± 2%), southern teams (n = 1012, 18% ± 1%), baseball teams (n = 859, 20% ± 1%), and soccer teams (n = 751, 19% ± 1%). The proportion of athletes with myopia in this sample was higher than Kleinstein et al. (2012) (Z=3.2, p=0.0005), not different from Holden et al (2016) “2000” (Z=-1.0, p=0.16), and less than Holden et al. (2016) “2050” (Z = -11.9, p<0.00001). The effects of sports and location were not significantly associated with myopia (all p>0.05). Although these youth spend a great deal of time practicing outdoors, the proportion of athletes with myopia was still 20% overall. This proportion was not less than recent population estimates but did appear to be less than one group’s estimate of what the proportion of myopia might be for this age group in the year 2050. In this sample size, there was no effect of geographic location or type of sport played on the proportion of myopia. Future studies should continue to investigate the minimum amount of time outdoors or other factors that are needed to prevent myopia onset and reduce the rate of progression.
Melissa Bailey, O.D., PhD. (Advisor)
Donald Mutti, O.D., PhD. (Committee Member)
Jeffrey Walline, O.D., PhD. (Committee Member)
48 p.

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Citations

  • Stewart-Bates, E. (2020). Proportion of Myopia among Youth Athletes across Different Sports and Locations [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595454796826532

    APA Style (7th edition)

  • Stewart-Bates, Emma. Proportion of Myopia among Youth Athletes across Different Sports and Locations. 2020. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1595454796826532.

    MLA Style (8th edition)

  • Stewart-Bates, Emma. "Proportion of Myopia among Youth Athletes across Different Sports and Locations." Master's thesis, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595454796826532

    Chicago Manual of Style (17th edition)