Table 3.
Adjusted multivariate logistic regression analysis# for assessing the association between weekend catch-up outdoor time and myopia (N = 5467)
| Weekend catch-up outdoor time(> 1 h) | Myopia (OR (95% CI)) | P value |
|---|---|---|
| Complete sample | ||
| No (n = 3288) | Reference | - |
| Yes (n = 2179) | 0.766 (0.672, 0.873) | < 0.001* |
| Weekday outdoor time ≤ 0.5 h | ||
| No (n = 661) | Reference | - |
| Yes (n = 529) | 0.678 (0.497, 0.925) | 0.014* |
| 0.5 h < Weekday outdoor time ≤ 1 h | ||
| No (n = 1635) | Reference | - |
| Yes (n = 1076) | 0.695 (0.577, 0.836) | < 0.001* |
| 1 h < Weekday outdoor time ≤ 2 h | ||
| No (n = 678) | Reference | - |
| Yes (n = 429) | 0.753 (0.573, 0.991) | 0.043* |
| 2 h < Weekday outdoor time ≤ 3 h | ||
| No (n = 103) | Reference | - |
| Yes (n = 84) | 1.713 (0.876, 3.352) | 0.116 |
| Weekday outdoor time > 3 h | ||
| No (n = 211) | Reference | - |
| Yes (n = 61) | 1.585 (0.971, 2.441) | 0.088 |
#: Data was analyzed using adjusted multivariate logistic regression analysis and covariates used in the adjusted model contained age, grade, sex, ethnicity, BMI, resident, parents’ myopia, number of bad writing habits, working/studying time per day, continuous working/studying time per day, and screen time per day
*: P < 0.05