. 2021 Jul 27;2021:6663195. doi: 10.1155/2021/6663195

Table 4.

Associations between occupation, education, and breast cancer awareness.

Variables	Occupation (n)					Total	p	Education (n)				Total	p
	O1	O2	O3	O4	O5			E1	E2	E3	E4
Risk factors (df = 437, χ² = 91)
None	110	52	7	4	60	233	0.0001^∗∗∗	61	61	96	15	233	0.0002^∗∗∗
Hereditary	5	20	7	21	8	61	0.0001^∗∗∗	1	4	40	16	61	0.0001^∗∗∗
↑Use of pills	2	9	4	10	4	29	0.0001^∗∗∗	0	2	18	9	29	0.0001^∗∗∗
Alcohol/tobacco	7	28	1	16	7	59	0.0001^∗∗∗	0	4	43	12	59	0.0001^∗∗∗
Age	2	2	2	5	2	13	0.0002^∗∗∗	0	2	8	3	13	0.116
Obesity	2	1	1	5	0	9	0.0001^∗∗∗	0	2	4	3	9	0.080
↑Sun exposure	3	5	1	4	3	16	0.079	0	1	12	3	16	0.023^∗
↓Breastfeeding	4	6	1	10	2	23	0.0001^∗∗∗	0	1	17	5	23	0.001^∗∗
↓Parity	2	2	0	2	1	7	0.306	0	1	5	1	7	0.433
Breast massage	4	23	4	13	4	48	0.0001^∗∗∗	0	3	31	14	48	0.0001^∗∗∗
Tight bra wearing	4	29	8	13	9	63	0.0001^∗∗∗	0	4	46	13	63	0.0001^∗∗∗
Symptoms (df = 437, χ² = 91)
None	87	19	1	1	62	170	0.0001^∗∗∗	53	65	52	0	170	0.0001^∗∗∗
Breast lump	40	77	22	34	35	208	0.0001^∗∗∗	9	22	134	43	208	0.0001^∗∗∗
Breast pain	52	60	14	23	23	172	0.0001^∗∗∗	15	29	100	28	172	0.0001^∗∗∗
Breast wound	42	22	7	13	32	116	0.289	20	28	53	15	116	0.602
Br. appearance	27	32	10	16	23	108	0.0002^∗∗∗	7	16	68	17	108	0.0001^∗∗∗
Nipple discharge	9	25	6	9	12	61	0.0001^∗∗∗	3	7	42	9	61	0.0001^∗∗∗
Screening awareness	77	81	22	37	33	270	df = 12; χ² = 74 p < 0.0001^∗∗∗	25	47	154	44	270	df = 9; χ² = 91 p < 0.0001^∗∗∗
Screening methods (df = 8; χ² = 51.0) (df = 6; χ² = 97.7)
BSE^a	24	38	17	33	20	132	0.0001^∗∗∗	6	15	74	37	132	0.0001^∗∗∗
CBE^b	65	31	8	22	40	166	0.028^∗	22	39	83	22	166	0.056^∗
Mammography	16	33	11	25	16	101	0.0001^∗∗∗	4	13	56	28	101	0.0001^∗∗∗
Ultrasound	17	33	11	16	12	89	0.0001^∗∗∗	4	11	54	20	89	0.0001^∗∗∗

^aBreast self-examination; ^bclinical breast examination. O1 = housewife; O2 = student; O3 = officer; O4 = health professional; O5 = other informal sector; E1 = no formal education; E2 = primary school; E3 = secondary school; E4 = university; χ²: ^∗p < 0.05; ^∗∗p < 0.005; ^∗∗∗p ≤ 0.0001.