Table 2.

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

Variable		COVID-19 group n = 147	Healthy group n = 363	p
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%)

* Significant difference in distribution pattern using the chi-square test