Seciodemographic characteristics
We received 155 qualified questionnaires from the online survey with the recovery rate of 100%. The mean age of the study participants was 32.8 4.8 years. Among the study participants majority of them were male, 111(71.6%). Likewise, majority, 126 (81.3%) of the study participants had less than or equal to 10 years’ experience. Moreover, more than half, 91(58.71%) of the study participants were married (Table-1).
Table-1: Seciodemogrphic characteristics health care workers in Tigrai region quarantine and Treatment centers, Southern Ethiopia (N=155).
Variable
|
Category
|
Frequency n (%)
|
Gender
|
Female
|
44(28)
|
Male
|
111(72)
|
Age
|
>33year
|
49(32)
|
<=33year
|
106(68)
|
Marital status
|
Married
|
91(59)
|
Single
|
48(31)
|
Divorce
|
16(10)
|
Profession
|
Doctor
|
29(19)
|
Nurse
|
53(34)
|
Others
|
73(47)
|
Year of experience
|
>10year
|
29(19)
|
<=10year
|
126(81)
|
History of anxiety
|
No
|
103(66)
|
Yes
|
52(34)
|
Family history of anxiety
|
No
|
128(83)
|
Yes
|
27(17)
|
Psychological characteristics
The result revealed that majority, 116(74.84%) of the study participants were concerned about the spread of the coronavirus disease (Covid-19). Likewise, majority of the study participants, 102(88.7%) were satisfied with the institutional support. In addition, this result indicated that more than half of the study participants, 81(52.23%) were engaged at online entertainment in their spare time (Table-2).
Table-2: Psychological characteristics of study participants participants (N=155)
Variable
|
Category
|
Frequency n (%)
|
Satisfied with the presence of personal equipment’s
|
No
|
61(39)
|
Yes
|
94(61)
|
Satisfied with institutional support
|
No
|
53(34)
|
Yes
|
102(66)
|
Concern about the spread
|
No
|
39(25)
|
Yes
|
116(75)
|
Leisure activities
|
Online entertainment
|
80(52)
|
Talking with friends
|
40(26)
|
Nothing
|
35(22)
|
Factors associated with anxiety symptoms
The multiple logistic regression model output indicated that gender, history of anxiety and institutional supports were significantly associated with the outcome variable.
Female were 2 times more likely to have anxiety symptoms than their counter parts (AOR: 2.310, 95%CI [1.301- 4.989]).Health workers who hadn’t history of anxiety were 99.2% less likely to have anxiety symptoms than those who had anxiety symptoms before (AOR: 0.008, 95%CI [0.000-0.144]).Those who were satisfied with institutional support were 3 times more likely to become non-anxious than unsatisfied ones (AOR: 3.244, 95%CI [1.930–5.438])(Table-3).
Table-3: Multiple logistic regression model analysis results of factors associated with anxiety symptoms
Variable
|
Category
|
Anxiety
|
P-value
|
COR
|
AOR[CI]
|
yes
|
no
|
|
|
|
|
|
|
|
Gender
|
female
|
15
|
29
|
|
|
|
Male
|
22
|
89
|
0.021
|
2.092
|
2.310 [1.301- 4.989]
|
Age
|
>33year
|
7
|
42
|
|
|
|
<=33year
|
30
|
76
|
0.321
|
0.422
|
|
Marital status
|
Married
|
23
|
68
|
|
|
|
Single
|
8
|
40
|
0.212
|
1.691
|
|
Divorce
|
6
|
10
|
0.089
|
0.563
|
|
Profession
|
Doctor
|
5
|
24
|
|
|
|
Nurse
|
13
|
40
|
0.314
|
0.641
|
|
Others
|
19
|
54
|
0.243
|
0.592
|
|
Year of experience
|
>10year
|
5
|
24
|
|
|
|
<=10year
|
32
|
94
|
0.071
|
0.612
|
|
History of anxiety
|
No
|
20
|
83
|
|
|
|
Yes
|
17
|
35
|
0.001
|
0.496
|
0.008[0.000-0.144]
|
Family history of anxiety
|
No
|
30
|
98
|
|
|
|
Yes
|
7
|
20
|
|
0.875
|
|
Satisfied with the presence of personal equipment’s
|
No
|
20
|
41
|
|
|
|
Yes
|
17
|
77
|
0.130
|
2.209
|
|
Satisfied with institutional support
|
No
|
18
|
35
|
|
|
|
Yes
|
19
|
83
|
0.002
|
2.245
|
3.244[1.930–5.438]
|
Concern about the spread
|
No
|
9
|
30
|
|
|
|
Yes
|
28
|
88
|
0.325
|
0.943
|
|
Leisure activities
|
Online entertainment
|
19
|
61
|
|
|
|
Talking with friends
|
10
|
30
|
0.082
|
0.934
|
|
|
Nothing
|
8
|
27
|
0.210
|
1.051
|
|