Glaucomatous Visual Field Defect Severity and the Prevalence of Motor Vehicle Collisions in Japanese: A Hospital/Clinic-Based Cross-Sectional Study

Table 2

Demographic characteristics, grouped by MD in the better eye.

	Control	Mild glaucoma	Moderate glaucoma	Severe glaucoma	value
Number	187	163	24	12
Age (years)	65.1 ± 10.8	64.4 ± 9.1	64.2 ± 11.2	63.3 ± 11.9	0.87^a
Sex (M/F)	108/79	110/53	17/7	9/3	0.19^b
Alcohol drinker	90 (48.1%)	79 (48.4%)	14 (58.3%)	11 (91.7%)	0.02^b
Current smoker	24 (12.8%)	23 (14.1%)	5 (20.8%)	4 (33.3%)	0.18^b
Diabetes mellitus	22 (11.8%)	29 (20.7%)	4 (18.3%)	1 (8.5%)	0.11^b
Number of comorbid illnesses	0.74 ± 0.77	0.71 ± 0.76	0.96 ± 1.06	0.50 ± 0.80	0.51^c
History of driving (years)	37.8 ± 11.2	38.4 ± 10.3	35.4 ± 9.5	37.1 ± 12.3	0.63^a
Distance (km) driven weekly	77 ± 113	102 ± 173	71 ± 85	104 ± 143	0.34^a
BCVA, better eye (LogMAR)	0.00 ± 0.02	0.00 ± 0.01	0.01 ± 0.03	0.01 ± 0.03	0.84^c
BCVA, worse eye (LogMAR)	0.02 ± 0.04	0.01 ± 0.04	0.02 ± 0.05	0.03 ± 0.06	0.62^c
MD, better eye (dB)	NA	−1.5 ± 1.8	−8.0 ± 1.6	−15.4 ± 2.4	<0.001^a
MD, worse eye (dB)	NA	−6.7 ± 5.8	−13.2 ± 5.1	−19.9 ± 4.1	<0.001^a

M: male, F: female, BCVA: best corrected visual acuity, LogMAR: logarithm of the minimum angle of resolution, MD: mean deviation, dB: decibels, and NA: not applicable.
^aANOVA; ^bFisher’s exact test; ^cKruskal-Wallis test.