Table 1.
Outdoor data of participants with and without myopia (N = 6832)
median (IQR)#2 | P value | mean ± SD#3 | P value | |||
---|---|---|---|---|---|---|
Non-myopia (N = 2000) | Myopia (N = 4832) |
Non-myopia (N = 2000) | Myopia (N = 4832) |
|||
Weekday outdoor duration, hour#1 | 0.750(0.750, 1.500) | 0.750(0.750, 1.500) | < 0.001* | 1.236 ± 0.851 | 1.143 ± 0.828 | < 0.001* |
Weekend outdoor duration, hour | 2.500(1.500, 2.500) | 1.500(1.500, 2.500) | < 0.001* | 2.222 ± 1.194 | 1.855 ± 1.161 | < 0.001* |
Average outdoor duration, hour | 1.250(0.964, 1.821) | 1.214(0.893, 1.786) | < 0.001* | 1.518 ± 0.801 | 1.347 ± 0.783 | < 0.001* |
Weekend catch-up outdoor duration, hour | 0.000(0.000, 1.000) | 0.000(-1.000, 1.000) | < 0.001* | 0.188 ± 1.244 | -0.054 ± 1.202 | < 0.001* |
#1: This was non-normally distributed continuous variable. However, the median (IQR) of myopia group were same to that of non-myopia group, hence the calculation of mean ± SD was added
#2: Data was analyzed using non-parametric test
#3: Data was analyzed using Student’s t-test
*: P < 0.05