Table 2 Comparison of demographic characteristics of the study participants between healthy and COVID-19 groups

Gender

Female

103 (70.1%)

126 (34.7%)

< 0.001*

Male

44 (29.9%)

237 (65.3%)

Education level

Illiterate or primary education

1 (0.7%)

1 (0.3%)

< 0.001*

Highschool and below

9 (6.1%)

4 (1.1%)

High school graduate

45 (30.6%)

27 (7.4%)

Diploma

11 (7.5%)

31 (8.5%)

Bachelor

0 (0.0%)

173 (47.7%)

Masters

78 (53.1%)

110 (30.3%)

PhD and above

3 (2.0%)

15 (4.1%)

Clerical education

0 (0.0%)

2 (0.6%)

Age

20–30 years old

10 (6.8%)

26 (7.2%)

0.931

30–40 years old

60 (40.8%)

153 (42.1%)

40 years old and above

77 (52.4%)

184 (50.7%)

Marital status

Single

23 (15.6%)

69 (19.0%)

0.163

Married

119 (81.0%)

291 (80.2%)

Widowed

2 (1.4%)

1 (0.3%)

Divorced

3 (2.0%)

2 (0.6%)

Weight (kg)

40–60 kg

8 (5.4%)

36 (9.9%)

< 0.001*

60–90 kg

65 (44.2%)

245 (67.5%)

90 kg and above

74 (50.3%)

82 (22.6%)

Working sector

Secretariat

12 (8.2%)

1 (0.6%)

< 0.001*

General office of the Mayor

9 (6.1%)

40 (11.0%)

Deputy of Finance

14 (9.5%)

10 (2.8%)

Human recourse development

13 (8.8%)

19 (5.2%)

Deputy of planning

1 (0.7%)

6 (1.7%)

Urban planning and architecture

2 (1.4%)

4 (1.1%)

Transportation and traffic

22 (15.0%)

70 (19.3%)

City services

30 (20.4%)

59 (16.3%)

Social and cultural affairs

11 (7.5%)

15 (4.1%)

Technical and civil

5 (3.4%)

11 (3.0%)

Regional affairs

5 (3.4%)

2 (0.6%)

Municipality of regions

23 (15.6%)

125 (34.4%)

Living place condition

Good

67 (45.6%)

120 (35.9%)

0.109

Moderate

68 (46.3%)

189 (56.6%)

Poor

12 (8.2%)

25 (7.5%)