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. 2022 May 11;22:212. doi: 10.1186/s12886-022-02436-5

Table 4.

Analysis of risk factors of myopia by multiple logistic regression

N (%) Risk of Myopia
OR (95%CI) p
Agea 617 1.66 (1.48–1.86)  < 0.001a
BMI 617 0.920
Female 294 (47.6%) 0.395
Parent myopiaa
  Non 302 (48.9%) ref
  One myopic 220 (35.7%) 1.98 (1.32–2.97) 0.001a
  both 95 (15.4%) 2.28 (1.36–3.83) 0.002a
Take a break outdoorsa
  No 414 (67.1%) ref
  Yes 203 (32.9%) 0.67 (0.45–1.00) 0.049a
PE class 0.675
  < 3 66 (10.7%) 0.725
  3 306 (49.6%) 0.974
  4 195 (31.6%) 0.621
  5 53 (8.6%) 0.585
  > 5 26 (4.2%) 0.939
Cram school 0.384
  No 253 (41.0%) 0.481
  < 1 h 56 (9.1%) 0.734
  1-2 h 135 (21.9%) 0.273
  2-3 h 73 (11.8%) 0.961
  > 3 h 129 (20.9%) 0.434
Electronic screen use 0.445
  No 40 (6.5%) 0.363
  < 30 min 203 (32.9%) 0.638
  30-60 min 189 (30.6%) 0.668
  1-2 h 118 (19.1%) 0.390
  2-3 h 38 (6.2%) 0.094
  > 3 h 58 (9.4%) 0.492

Data are presented as n (%)

aStatistically significant