Is There Association between Risky Sexual Behaviors and Depression Symptoms among Youth? A Case of Jimma University Students, Ethiopia
Table 5
Multivariate analysis of factors associated with risky sexual behaviors among Jimma University students, April, 2016.
variables
Characteristics
Risky sexual behaviors
COR
AOR (CI=95%)
P- value
(CI-95%)
Yes
No
Participation in religious education
Yes
137(25.4%)
402(74.6%)
1
No
62(51.2%)
59(4.8%)
3.0(2.0-4.6)∗
1.9(1.1-3.2)
0.010∗∗
Watch pornographic movie
Yes
135(49.3%)
139(50.7%)
4.8(3.4-6.9)∗
4.1(2.6-6.5)
< 0.001∗∗
No
64(16.6%)
322(83.4%)
1
Peer pressure to engage into risky sexual behavior
Yes
80(47.6%)
88(52.4%)
2.8(1.9-4.1)∗
1.6(1.1-2.7)
0.024∗∗
No
119(24.2%)
373(75.8)
1
Level of depression symptoms (BDI)
No/minimal(0-13)
108(23.1%)
360(76.9%)
1
Mild (14-18)
43(48.9%)
45(51.1%)
1.3(0.8-2.1)∗
0.9(0.3-1.5)
0.705
Moderate (19-28)
35(43.2%)
46(56.8%)
3.4(2.1-5.6)∗
1.9(1.1-3.1)
0.049∗∗
Severe (29-63)
13(56,5%)
10(43.5%)
3.4(2.0-5.7)∗
2.6(1.3- 5.1)
0.003∗∗
Alcohol
Had probable alcohol use disorder
44(73.3%)
16(26.7%)
7.8(4.3-14.3)∗
2.9(1.4-6.1)
0.004∗∗
Had no alcohol use disorder
155(25.8%)
445(74.2%)
1
Frequency of Khat use
Never chewed
119(24.7%)
362(75.3%)
1
Monthly or less
45(36.3%)
79(63.7%)
1.7(1.1-2.6)
1.1(0.6-2.0)
0.536
2-4 times a month
19(61.3%)
12(38.7%)
4.8(2.2-1.2)∗
2.8(1.1-7.7)
0.042∗∗
2-3 times a week
13(68.4%)
6(31.6%)
6.5(2.4-17.7)∗
4.3(1.1-17.6)
0.040∗∗
4 or more times a week
3(60.0%)
2(40.0%)
4.5(0.7-27.6)
2.1(0.1-25.9)
0.519
∗ Variables which were associated with risky sexual behavior in bivariate analysis ∗∗ Variables which were independently associated with risky sexual behavior in multivariate analysis 1- Reference.
