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

Table 3

Demographic characteristics, grouped by IVF MD.

	Control	Mild glaucoma	Moderate glaucoma	Severe glaucoma	value
Number^a	187	165	20	6
Age (years)	65.1 ± 10.8	64.0 ± 9.2	67.8 ± 10.1	54.5 ± 12.4	0.03^b
Sex (M/F)	108/79	113/52	13/7	4/2	0.20^c
Alcohol drinker	93 (49.7%)	82 (49.7%)	15 (75.0%)	5 (83.3%)	0.06^c
Current smoker	24 (12.8%)	23 (13.9%)	7 (35.0%)	2 (33.3%)	0.03^c
Diabetes mellitus	22 (11.8%)	29 (20.7%)	2 (10.0%)	0 (0.0%)	0.37^c
Number of comorbid illnesses	0.74 ± 0.77	0.72 ± 0.79	0.75 ± 0.97	0.33 ± 0.82	0.50^d
History of driving (years)	37.8 ± 11.2	38.1 ± 10.5	37.5 ± 9.7	31.0 ± 12.2	0.47^b
Distance (km) driven weekly	77 ± 113	98 ± 150	74 ± 103	101 ± 150	0.87^d
BCVA, better eye (LogMAR)	0.00 ± 0.02	0.00 ± 0.01	0.02 ± 0.04	0.00 ± 0.00	0.02^d
BCVA, worse eye (LogMAR)	0.02 ± 0.04	0.01 ± 0.04	0.04 ± 0.06	0.03 ± 0.06	0.06^d
MD, better eye (dB)	NA	−1.8 ± 2.2	−9.3 ± 4.3	−14.7 ± 2.6	<0.001^b
MD, worse eye (dB)	NA	−6.9 ± 5.7	−15.2 ± 5.5	−19.3 ± 5.2	<0.001^b

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.
^aTable shows results for 378 subjects (we were unable to obtain IVF data for 8 POAG subjects); ^bANOVA; ^cFisher’s exact test; ^dKruskal-Wallis test.