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. 2016 May 2;10:777–782. doi: 10.2147/OPTH.S103302

Table 2.

Effect of various factors on visual impairment by binary logistic analysis

Characteristic Visual impairment (n, %)a
Adjusted OR [95% CI] P-value
Moderate/severe/blind None/mild
Sex
 F 19 31 1.00
 M 33 17 3.37 [1.09–10.43] 0.035
Age (years)
 0–17 4 7 1.00
 18–39 6 16 0.64 [0.12–3.39] 0.595
 40–59 22 15 2.94 [0.64–13.55] 0.166
 ≥60 20 10 5.08 [1.01–25.55] 0.048
Location
 Urban 14 29 1.00
 Rural 38 19 3.11 [1.22–7.89] 0.017
Occupation
 Indoor work 10 14 1.00
 Nonagricultural work 10 6 0.87 [0.16–4.71] 0.875
 Agricultural work 18 10 0.49 [0.10–2.44] 0.384
 Children and students 5 10 1.17 [0.06–22.53] 0.916
 Without work 9 8 1.23 [0.28–5.45] 0.786
TCM
 No use 42 44 1.00
 Use 10 4 2.45 [0.58–10.45] 0.225
History of ocular trauma
 No 37 36 1.00
 Yes 15 12 0.89 [0.27–2.93] 0.850
Etiologyb
 Noninfectious 24 31 1.00
 Infectious 23 17 0.94 [0.33–2.63] 0.901

Notes:

a

Given a total sample size of 100, % equals n. bFive patients were excluded in binary logistic analysis as they had both infectious and noninfectious corneal diseases.

Abbreviations: OR, odds ratio; CI, confidence interval; F, female; M, male; TCM, traditional Chinese medicine.