Table 2

Univariate analysis of factors associated with smoking among male college students in Karachi, Pakistan.

Characteristics
Smoking status
Crude OR
95% C.I for OR


Non-smoker n = 437
Smoker n = 139



Type of school




Private
232 (53.1)
59 (42.4)
1.0
-
Government
205 (46.9)
80 (57.1)
1.5
(1.0–2.2)
Age of the respondent:




Average age of respondent (S.E)
17.5 (1.3)
18.1 (1.8)
1.3
(1.1 – 1.5)
Father's education level




No formal schooling
205
78
1.7
(0.9 – 3.2)
Primary (1–5)
97
30
1.4
(0.7 – 2.7)
Middle (6–8)
34
8
1.1
(0.4 – 2.7)
Matric (9–10)
22
6
1.2
(0.4 – 3.5)
Intermediate & above (11 onwards)
79
17
1.0
-
Mother's occupation




Not working
416
135
1
-
Working
21
4
1.7
(0.5 – 5.0)
Area of Residence




Gadap
47
16
1.02
(0.5 – 2.1)
Bin-Qasim
241
77
0.959
(0.5 – 1.5)
Malir
62
17
0.823
(0.4 – 1.6)
Other
87
29
1.0
-
Uncle smoking




No
316(72.3)
89(64.0)
1.0

Yes
121(27.7)
50(36.0)
1.5
(0.9–2.1)
Grant parent smoking




No
414(94.7)
127(91.4)
1.0
-
Yes
23(5.3)
12(8.6)
1.7
(0.8–3.5)
Friends smoking




No
293(67.0)
38(27.3)
1.0

yes
144(33.0)
101(72.7)
5.4
(3.5–8.2)
Read Books




Yes
275(62.9)
76(54.7)
1.0

No
162(37.1)
63(45.3)
1.4
(0.9–2.1)
Play Games




Yes
264(60.4)
73(52.5)
1.0

No
173(39.6)
66(47.5)
1.4
(0.9–2.0)
Access computer in leisure time




Yes
417(95.4)
124(89.2)
1.0

No
20(4.6)
15(10.8)
2.5
(1.2–5.1)
Watch tobacco promotion adds on electronic media




No
232(53.1)
54(38.8)
1.0

Yes
205(46.9)
85(61.2)
1.8
(1.2–2.6)

Rozi et al. BMC Public Health 2007 7:312   doi:10.1186/1471-2458-7-312