Table 3: The relationship between GAD and socio-demographic/clinical characteristics of participants.
Variable |
GAD |
Descriptive Statistic |
|
Yes |
No |
||
Gender |
X2 = 9.831, df = 1 P = 0.002 OR: 10.575 |
||
Male |
12 (6.3) |
177 (93.7) |
|
Female |
44 (16.0) |
231 (84.0) |
|
Occupation |
X2 = 2.881, df = 1 P = 0.09 |
||
Medical doctor |
30 (10.1) |
266 (89.9) |
|
Nurse |
26 (15.5) |
142 (84.5) |
|
Employer |
X2 = 0.007, df = 1 P = 0.94 |
||
Government |
47 (12.0) |
346 (88.0) |
|
Private |
9 (12.7) |
62 (87.3) |
|
Marital status |
X2 = 10.951, df = 1 P = 0.001 OR:: 9.823 |
||
Single/separated/divorced/widowed |
23 (21.1) |
86 (78.9) |
|
Married/cohabiting |
33 (9.3) |
322 (90.7) |
|
Has a friend or loved one been infected with COVID-19? |
X2 = 4.240, df = 1 P = 0.04 OR: 3.924 |
||
Yes |
19 (17.8) |
88 (82.2) |
|
No |
37 (10.4) |
320 (89.6) |
|
Have you been infected with COVID-19? |
X2 = 9.372, df = 1 P = 0.002 OR: 6.906 |
||
Yes |
7 (33.3) |
14 (66.7) |
|
No |
49 (11.1) |
394 (88.9) |
|
Have you been in close contact with or managed a case(s) of COVID-19? |
X2 = 0.078, df = 1 P = 0.78 |
||
Yes |
13 (12.9) |
88 (87.1) |
|
No |
43 (11.8) |
320 (88.2) |
|
Do you work at any of the isolation centres? |
X2 = 1.639, df = 1 P = 0.20 |
||
Yes |
10 (8.7) |
105 (91.3) |
|
No |
46 (13.2) |
303 (86.8) |
|
Availability of personal protective equipment |
X2 = 3.010, FE = 2.807 df = 2 |
||
Available but not sufficient |
40 (11.3) |
314 (88.7) |
|
Available in sufficient amounts |
3 (8.1) |
34 (91.9) |
|
Not available at all |
13 (17.8) |
60 (82.2) |
P = 0.248FE |
Have an underlying chronic medical condition |
X2 = 0.058, df = 1 |
||
Yes |
16 (11.5) |
123 (88.5) |
P = 0.81 |
No |
40 (12.3) |
285 (87.7) |
|
Psychological illness before COVID 19 |
X2 = 5.727, df = 1 P = 0.02 OR: 4.529 |
||
Yes |
7 (26.9) |
19 (73.1) |
|
No |
49 (11.2) |
389 (88.8) |
X2: Chi Square; P: P value; df: Degree of Freedom; OR: Odds Ratio