Table 5 of Wu, Mol Vis 2024; 30:422-433.

Table 5. An ordered logistic regression analysis between OBS and myopia grade.

Model Estimate SE T OR P-value
Model1          
OBS 0.023 0.004 5.224 1.023[1.014,1.023] <0.001
0|1 0.941 0.092 10.189 2.562[2.138,3.071] <0.001
1|2 2.719 0.103 26.404 13.164[12.392,18.555] <0.001
2|3 4.197 0.135 30.993 66.487[50.988,86.698] <0.001
Model2          
OBS 0.012 0.005 2.567 1.009[1.002,1.015] 0.01
0|1 0.366 0.154 2.386 1.442[1.068,1.949] 0.017
1|2 2.17 0.159 13.651 8.761[6.415,11.964] <0.001
2|3 3.68 0.183 20.128 39.628[27.694,56.704] <0.001
Model3          
OBS 0.013 0.005 2.751 1.013[1.004,1.023] 0.006
0|1 0.143 0.187 0.761 1.153[0.799,1.665] 0.447
1|2 1.949 0.191 10.189 7.020[4.826,10.213] <0.001
2|3 3.459 0.211 16.37 31.789[21.010,48.000] <0.001

Model 1: no adjustment; Model 2: adjusted for age, PIR, married status, educational level; Model 3: adjusted for age, PIR, married status, educational level, Hypertension, diabetes, asthma. Abbreviation: OBS: oxidative balance score, SE: standard deviation, CI: confidence interval, OR: Odds Ratio; 0:no-myopia; 1: mild-myopia; 2: moderate-myopia; 3: high-myopia.

Wu, Mol Vis 2024; 30:422-433. http://www.molvis.org/molvis/v30/422

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