Initial presenting symptoms, comorbidities and severity of COVID-19 patients during the second wave of epidemic in Myanmar

Table 4 Association of severity of disease with demographic characteristics, comorbidity and initial presenting symptoms in COVID-19 patients

Variables	Severity of disease^a		p value	COR (95% CI)	p value	AOR ^b (95% CI)
Variables	Not severe n (%)	Severe n (%)	p value	COR (95% CI)	p value	AOR ^b (95% CI)
Sex
Male	89 (82.4)	19 (17.6)		1
Female	87 (76.3)	27 (23.7)	0.264	1.45 (0.75–2.80)
Age
< 60 years	150 (84.3)	28 (15.7)		1		1
≥ 60 years	26 (59.1)	18 (40.9)	< 0.001	3.71 (1.79–7.65)	0.026	2.88 (1.14–7.29)
Education^c
Below university	111 (81.0)	26 (19.0)		1
University and graduate	65 (76.5)	20 (23.5)	0.417	1.31 (0.68–2.54)
Occupation
Employed	105 (80.8)	25 (19.2)		1
Unemployed	71 (77.2)	21 (22.8)	0.515	1.24 (0.65–2.39)
BMI^d
Underweight or normal weight	130 (89.0)	16 (11.0)		1		1
Overweight or obesity	46 (60.5)	30 (39.5)	< 0.001	5.29 (2.65–10.60)	0.001	3.87 (1.80–8.33)
Smoking status
No	163 (85.8)	27 (14.2)		1		1
Yes	13 (40.6)	19 (59.4)	< 0.001	8.82 (3.91–19.93)	< 0.001	6.74 (2.72–16.75)
Alcohol drinking
No	166 (81.0)	39 (19.0)		1		1
Yes	10 (58.8)	7 (41.2)	0.037	2.98 (1.07–8.32)	0.430	1.68 (0.46–6.05)
Comorbidity
No	116 (84.1)	22 (15.9)		1		1
Yes	60 (71.4)	24 (28.6)	0.026	2.11 (1.09–4.07)	0.782	1.13 (0.48–2.61)
Initial presenting symptoms
Asymptomatic	41 (100.0)	0 (0.0)
Symptomatic	135 (74.6)	46 (25.4)

^aSeverity of disease was categorized as “not severe” (asymptomatic, mild and moderate) and “severe”
^bAll independent variables with p value < 0.05 in bivariable analysis were included in multivariable logistic regression model
^cEducation was categorized as “below university” (primary, middle and high school education level) and “university and graduate”
^dBMI was classified as “underweight or normal weight” and “overweight or obesity”

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