Its a very well studied dataset in (graduate) Stats. So many contingency tables where you correlate onset of myopia - myopia vs Asian/non-Asian, myopia verus Male/Female, with/without computer, w/wo smartphone, w/wo outdoor time, w/wo myopic parents, on & on.
If you know how to run a ChiSq, you can look at some 2x2 tables here. You can convince yourself with 1 line of R.
But honestly, there's a ton of data on this subject. Conclusion is mostly the same - if you spend more time outside, less likely to be myopic. That's the one factor you can control. The others (being Asian or male or having myopic parents etc) is luck of the draw.
If you know how to run a ChiSq, you can look at some 2x2 tables here. You can convince yourself with 1 line of R.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1771677/
Or if you want someone else to run the analysis & just skip to the interpretation of results, try this - http://astro1.panet.utoledo.edu/~terencezl/projects/myopia.h...
But honestly, there's a ton of data on this subject. Conclusion is mostly the same - if you spend more time outside, less likely to be myopic. That's the one factor you can control. The others (being Asian or male or having myopic parents etc) is luck of the draw.