Table 2.

Multivariable Logistic Regression on Socio-demographic Characteristics, Knowledge Score, and Utilization Face Mask (n = 331).

Variables	Category	Face mask used (%)	Face mask not used (%)	COR (95% CI)	AOR (95% CI)
Gender	Male	132 (39.9)	98 (29.6)	2.7 (1.7–4.3)	2 (1.1–3.2)**
	Female	48 (14.5)	53 (16)	Ref	Ref
Age	18–29	110 (33.2)	88 (26.6)	Ref	Ref
	30–49	57 (17.2)	47 (14.2)	2 (1.2–3.2)	2.5 (1.4–4.6)***
	Above 50	13 (3.9)	16 (4.8)	2.9 (1.2–6.9)	12 (3.2–45.1)***
Occupation	Student	22 (6.6)	17 (5.1)	Ref	Ref
	Public sector	19 (5.7)	9 (2.7)	6.9 (1.8–26.9)	5.2 (1.2–23)**
	Private sector	11 (3.3)	13 (3.9)	3.6 (1.1–11.5)	3.6 (1.1–12.5)**
	Self-employed	68 (20.5)	35 (10.6)	1.7 (0.8–3.5)	1.7 (0.8–3.9)
	Not employed	39 (11.8)	41 (12.4)	0.7 (0.3–1.4)	0.9 (0.4–2)
	Farmer	15 (4.5)	23 (6.9)	0.3 (0.1–0.7)	0.32 (0.1–0.9)**
	Retired	3 (0.9)	1 (0.3)	2.7 (0.3–28)	1.7 (0.1–19.5)
	Others#	3 (0.9)	12 (3.6)	0.2 (0.1–0.9)	0.4 (0.1–2)
Educational status	Illiterate	11 (3.3)	26 (7.9)	Ref	Ref
	Read and write	8 (2.4)	13 (3.9)	3.3 (1–10.6)	4.9 (1.2–20.5)**
	Primary school	53 (16)	37 (11.2)	5.4 (2.1–13.5)	6.3 (1.7–22.6)***
	Secondary school	71 (21.5)	48 (14.5)	5.9 (2.4–14.5)	6.9 (2–24.4)***
	College or university	37 (11.2)	27 (8.2)	10.5 (4–28.2)	8.1 (2.1–31.7)***
Knowledge score	Acceptable	94 (24.4)	48 (14.5)	2.8 (1.7–4.3)	2 (1.2–3.3)*
	Not acceptable	86 (26)	103 (31)	Ref	Ref

Note. AOR = adjusted odds ratio; COR = crude odds ratio;

#Others = driver, housewife, daily laborers.

^*p < .05. **p < .01. ***p < .001.