Glaucomatous Visual Field Defect Severity and the Prevalence of Motor Vehicle Collisions in Japanese: A Hospital/Clinic-Based Cross-Sectional Study
Table 1
Demographic characteristics grouped by MD in the worse eye.
Controls
Mild glaucoma
Moderate glaucoma
Severe glaucoma
value
Number
187
92
60
47
Age (years)
65.1 ± 10.8
63.5 ± 9.1
65.8 ± 9.1
63.7 ± 10.6
0.45a
Sex (M/F)
108/79
62/30
43/17
31/16
0.17b
Alcohol drinker
90 (48.1%)
49 (53.3%)
30 (50.0%)
25 (53.2%)
0.94b
Current smoker
24 (12.8%)
13 (14.1%)
10 (16.7%)
9 (19.1%)
0.69b
Diabetes mellitus
22 (11.8%)
19 (20.7%)
11 (18.3%)
4 (8.5%)
0.11c
Number of comorbid illnesses
0.74 ± 0.77
0.73 ± 0.81
0.77 ± 0.79
0.66 ± 0.82
0.82d
Driving history (years)
37.8 ± 11.2
37.6 ± 10.8
39.4 ± 9.0
36.9 ± 11.1
0.64a
Distance (km) driven weekly
77 ± 113
88 ± 127
133 ± 223
76 ± 102
0.06d
BCVA, better eye (LogMAR)
0.00 ± 0.02
0.00 ± 0.01
0.01 ± 0.02
0.01 ± 0.03
0.26d
BCVA, worse eye (LogMAR)
0.02 ± 0.04
0.01 ± 0.02
0.02 ± 0.05
0.03 ± 0.05
0.04d
MD, better eye (dB)
NA
−1.0 ± 1.5
−3.2 ± 2.7
−7.2 ± 5.9
<0.001a
MD, worse eye (dB)
NA
−2.8 ± 1.6
−9.0 ± 1.6
−18.1 ± 5.0
<0.001a
M: male, F: female, BCVA: best corrected visual acuity, LogMAR: logarithm of the minimum angle of resolution, MD: mean deviation, and dB: decibels. aANOVA, bchi-square test, cFisher’s exact test, and dKruskal-Wallis test.
