Barriers to colorectal cancer screening: A case-control study

Table 3 Status of knowledge about colorectal cancer and its screening between case and control groups

Item1	Case	Control 1	Control 2	OR1 (95% CI)2		OR2 (95% CI)2		OR3 (95% CI)2
				Single	Multiple	Single	Multiple	Single	Multiple
Question 1
Yes, certain	57	84	68	1.0	1.0	1.0	1.0	1.0	1.0
Heard of it	14	30	77	0.69 (0.34-1.41)	0.50 (0.21-1.17)	0.22 (0.11-0.42)	0.15 (0.07-0.33)	3.17 (1.87-5.38)	2.90 (1.62-5.21)
I don’t know	15	50	68	0.44 (0.23-0.86)	0.22 (0.09-0.56)	0.45 (0.24-0.84)	0.24 (0.10-0.54)	1.68 (1.03-2.73)	1.49 (0.80-2.80)
Question 2
Yes, a lot	65	88	78	1.0	1.0	1.0	1.0	1.0	1.0
Yes, some	20	71	131	0.38 (0.21-0.68)	0.25 (0.12-0.54)	0.18 (0.10-0.32)	0.13 (0.06-0.27)	2.06 (1.35-3.13)	2.06 (1.21-3.50)
No	0	5	3	-	-	-	-	0.67 (0.15-2.89)	0.52 (0.11-2.56)
Question 3
Yes, certain	41	55	54	1.0	1.0	1.0	1.0	1.0	1.0
Yes, possible	45	94	151	0.64 (0.37-1.10)	0.71 (0.36-1.39)	0.40 (0.24-0.67)	0.38 (0.20-0.72)	1.61 (1.02-2.53)	1.77 (1.04-3.02)
No, impossible	0	15	7	-	-	-	-	0.47 (0.18-1.23)	0.43 (0.14-1.38)
Question 4
Yes	79	138	153	1.0	1.0	1.0	1.0	1.0	1.0
No	0	7	6	-	-	-	-	2.50 (1.41-4.43)	2.11 (1.12-3.99)
Don’t care	7	19	53	0.64 (0.26-1.60)	0.58 (0.20-1.70)	0.26 (0.11-0.59)	0.25 (0.10-0.62)	0.77 (0.25-2.34)	0.68 (0.21-2.23)
Question 5
Community	81	160	197	1.0	1.0	1.0	1.0	1.0	1.0
News media	4	3	9	2.65 (0.58-12.13)	2.52 (0.44-14.49)	1.07 (0.32-3.56)	1.22 (0.32-4.60)	2.48 (0.66-9.33)	2.79 (0.67-11.58)
Both	1	1	5	1.99 (0.12-32.19)	2.43 (0.08-75.03)	0.40 (0.05-3.38)	0.40 (0.03-4.54)	4.97 (0.59-41.70)	4.11 (0.47-36.29)

¹Question 1: Do you think colorectal cancer is a common cancer? Question 2: Do you think this screening will help you improve your awareness of health? Question 3: Do you think this screening can find an early stage of colorectal cancer? Question 4: Do you think it is necessary to conduct the colorectal cancer screening in your community? Question 5: How do you know this screening program? Community means community screening center;

²All single OR’s means without adjustment for any other factors in the model, and all multiple OR’s means with adjustment for the following factors including age (0 = < 45, 1 = 45-49, 2 = 50-54, 3 = 55-59, 4 = 60-64, 5 = 65-69, and 6 = ≥ 70), gender (0 = male and 1 = female), occupation (0 = worker, 1 = official/administrator, 2 = technician/professional, 3 = businessman, and 4 = others), interaction term between gender and occupation, and annual personal income (0 = < ¥10 000, 1 = ¥10,000-< 20 000, and 2 = ≥ ¥20 000); all variables were treated as dummy variables in the logistic regression model.