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. 2020 Sep 4;61(11):7. doi: 10.1167/iovs.61.11.7

Table 1.

Demographic and Genetic Characteristics of the Regression Discontinuity Analysis Sample

Variable Statistic All (n = 21,127) Born Before Cutoff Date (n = 11,556) Born After Cutoff Date (n = 9571) P
Age Mean (95% CI) 52.89 (52.85 to 52.92) 54.90 (54.88 to 54.93) 50.45 (50.43 to 50.49) <2.2E-16
Female N (%) 11,881 (56.3%) 6539 (56.6%) 5342 (55.9%) 2.70E-01
Wears glasses N (%) 19,492 (92.3%) 10,956 (94.8%) 8536 (89.3%) 2.30E-51
University or College degree N (%) 8078 (38.2%) 4462 (38.6%) 3616 (37.8%) 2.20E-01
High genetic predisposition to myopia N (%) 10,548 (49.9%) 5762 (49.9%) 4786 (50.0%) 8.50E-01
Refractive error (D) Median (IQR) −0.08 (−1.60 to 0.71) −0.02 (−1.54 to 0.85) −0.15 (−1.70 to 0.54) 3.40E-18
Age started wearing glasses (Years) Median (IQR) 38.00 (16.00 to 46.00) 40.00 (15.33 to 47.00) 35.00 (16.00 to 45.00) 1.00E-12
Townsend Deprivation Index Median (IQR) −1.95 (−3.51 to 0.51) −2.03 (−3.55 to 0.44) −1.85 (−3.44 to 0.64) 9.40E-04

Participants were stratified based on being born before or after the cutoff date, i.e. not affected vs. affected by the ROSLA reform.