Standardization of apple cancellation test for neglect patients in Korea: An observational study

Table 1 General characteristics of subjects (n = 223) (mean ± SD)

General characteristic		n	%
Gender	Male	109	48.90	-
	Female	114	51.10
Age (yr)	20-29	38	17.04	48.80 ± 18.10
	30-39	38	17.04
	40-49	36	16.14
	50-59	36	16.14
	60-69	40	17.94
	70-	35	15.70
Level of education	Illiteracy	10	4.48	12.27 ± 4.00
	Elementary school	19	8.52
	Middle school	22	9.87
	High school	57	25.56
	Junior college	50	22.42
	University	65	29.15
Residence	Seoul/Gyeonggi province	88	39.46	-
	Gyeongsang province	10	4.48
	Jeolla province	1	0.45
	Gangwon province	116	52.02
	Chungcheong province	7	3.14
	Jeju province	1	0.45

Table 2 Accuracy score and total omission errors

Linear regression	F	r2	P value	Descriptive statistics
				Minimum value	Maximum value	Mean	Standard error	Cutoff	Pathological cutoff
Total	1.91	0.02	0.15	0.00	14.00	2.74	0.21	3.15	5
20-29	0.49	0.03	0.62	0.00	8.00	1.95	0.36	2.64	4
30-39	2.05	0.11	0.15	0.00	13.00	2.68	0.53	3.72	5
40-49	2.07	0.11	0.14	0.00	13.00	2.53	0.48	3.46	5
50-59	0.18	0.01	0.84	0.00	12.00	3.50	0.57	4.61	6
60-69	1.33	0.07	0.28	0.00	14.00	2.65	0.47	3.56	5
70-	0.26	0.00	0.93	0.00	13.00	3.23	0.60	4.41	6

Table 3 Asymmetry score for egocentric neglect-omission error difference

Linear regression	F	r2	P value	Descriptive statistics
				Minimum value	Maximum value	Mean	Standard error	Cutoff	Pathological cutoff
Total	1.09	0.01	0.34	-3.00	3.00	0.00	0.07	0.14	2
20-29	0.04	0.00	0.96	-2.00	1.00	-0.29	0.15	0.00	1
30-39	0.10	0.01	0.91	-2.00	3.00	0.13	0.19	0.50	2
40-49	0.51	0.03	0.60	-3.00	1.00	0.00	0.16	0.31	2
50-59	0.85	0.05	0.44	-3.00	2.00	-0.19	0.20	0.19	2
60-69	0.28	0.02	0.76	-2.00	3.00	0.25	0.17	0.58	2
70-	0.50	0.03	0.61	-3.00	3.00	0.57	0.21	0.99	2

Descriptive statistics and linear regression analysis.

Table 4 Asymmetry score for allocentric neglect-commission error difference

Linear regression	F	r2	P value	Descriptive statistics
				Minimum value	Maximum value	Mean	Standard error	Cutoff	Pathological cutoff
Total	1.67	0.02	0.19	-3.00	2.00	0.03	0.03	0.09	2
20-29	1.35	0.07	0.27	-1.00	1.00	0.05	0.06	0.18	2
30-39	0.58	0.03	0.57	0.00	1.00	0.08	0.04	0.17	2
40-49	0.29	0.02	0.75	-1.00	1.00	0.03	0.06	0.15	2
50-59	3.74	0.19	0.03a	0.00	1.00	0.03	0.03	0.08	2
60-69	2.25	0.11	0.12	-3.00	2.00	-0.05	0.09	0.14	2
70-	2.18	0.12	0.13	-1.00	2.00	0.57	0.09	0.75	2

^aP < 0.05.

Descriptive statistics and linear regression analysis.

Table 5 Expected and maximum time of execution in seconds

Time		Age
		20	25	30	35	40	45	50	55	60	65	70	75	80
Expected time
Level of education	0	122	126	129	133	137	141	145	148	152	156	160	164	167
	6	99	103	107	111	115	118	122	126	130	134	137	141	145
	9	88	92	96	99	103	107	111	115	118	122	126	130	134
	12	77	81	84	88	92	96	100	103	107	111	115	119	122
	14	69	73	77	81	85	88	92	96	100	104	107	111	115
	16	62	66	70	73	77	81	85	89	92	96	100	104	108
Maximum time
Level of education	0	198	201	205	209	213	217	220	224	228	232	236	239	243
	6	175	179	183	187	190	194	198	202	206	209	213	217	221
	9	164	168	172	175	179	183	187	191	194	198	202	206	210
	12	153	157	160	164	168	172	176	179	183	187	191	195	198
	14	145	149	153	157	160	164	168	172	176	179	183	187	191
	16	138	142	145	149	153	157	161	164	168	172	176	180	183

Linear regression analysis.