Assessing smoking status in disadvantaged populations: is computer administered self report an accurate and acceptable measure?

Table 1 Demographic characteristics and smoking status of whole sample (n = 330) and participants not consenting to provide a breath tests (n = 39)

	Validation sample (n = 330)		Participants not consenting to breath test (n = 39)		χ²
	N	%	N	%
Gender
Male	186	56	17	44	(χ² = 1.79, p = 0.18)
Female	144	44	22	56
Age
≤ 29 years	45	14	5	13	(χ² = 1.64, df = 5, p = 0.90)
30-39 years	85	26	10	26
40-49 years	96	29	10	26
50-59 years	67	20	11	28
60-69 years	21	6	2	5
70 + years	16	5	1	3
Aboriginal or Torres Strait Islander
Yes	39	12	3	8	(χ² = 0.51, p = 0.47)
No	291	88	36	92
Marital status
Never married/single	178	54	22	56	(χ² = 0.36, df = 4, p = 0.46)
Married	24	7	5	13
De facto/living with partner	26	8	1	3
Divorced/separated	80	24	10	26
Widowed	22	7	1	3
Highest level of education
Primary school	10	3	1	3	(χ² = 1.62, df = 4, p = 0.8)
High school years 7-10	157	48	15	38
High school years 11-12	58	17	7	18
TAFE	56	17	8	21
University Degree	49	15	8	21
Income
< $200	53	16	5	13	(χ² = 7.4, df = 5, p = 0.19)
$200-$300	124	38	10	26
$300-$400	83	25	12	31
$400-$500	31	9	2	5
< $500	19	6	6	15
Prefer not to answer	20	6	4	10
Employment					(χ² = 6.8, df = 7, p = 0.45)
Full time	4	1	0	0
Part time/casual	25	8	0	0
Unemployed	162	49	19	49
Student	15	5	3	8
Unable to work	15	5	7	18
Home duties	36	11	3	8
Retired	38	12	3	8
Other	35	11	4	10
Smoking Status
Daily	181	55	17	44	(χ² = 1.9, df = 3, p = 0.6)
Occasional- weekly	13	4	2	5
Occasional- monthly	11	3	2	5
Non-smoker	125	38	18	46