Quality of life during COVID-19 pandemic: a community-based study in Dakahlia governorate, Egypt

Table 4 Multiple linear regression of significant independent predictors of COVID-19-Impact on Quality of Life

Variables	Bivariate linear regression		Multiple linear regression model
Variables	β (95% CI)	P value	β (95% CI)	P value
Age	0.17 (0.1 to 0.3)	< 0.001	0.09 (− 0.009 to 0.2)	0.07
Sex	0.14 (0.06 to 0.26)	0.001	0.1 (0.02 to 0.2)	0.02
Employment	− 0.02 (− 0.1 to 0.08)	0.6
Monthly income	0.1 (0.03 to 0.2)	0.01	0.1 (0.004 to 0.2)	0.04
Educational level	0.09 (0.01 to 0.2)	0.03
Marital status	0.17 (0.1 to 0.3)	< 0.001
Smoking	− 0.02 (− 0.16 to 0.1)	0.6
Comorbidities	0.13 (0.06 to 0.3)	0.004
Previous Covid-19 infection	− 0.002 (− 0.1 to 0.1)	0.9
Personally know someone infected with COVID-19	0.18 (0.12 to 0.3)	< 0.001	0.15 (0.08 to 0.3)	0.001
Personally know someone who died of COVID-19	0.1 (0.008 to 0.2)	0.04
Have a symptom suggestive of COVID-19 in past 14 days	0.07 (− 0.02 to 0.2)	0.1
Duration	0.17 (0.1 to 0.3)	< 0.001	0.1 (0.006 to 0.2)	0.04
			Constant	2.03
			Model F	9.1
			Model R²	0.1
			P value	< 0.001

β: regression coefficient, CI: Confidence Interval, Model F: Model Analysis of Variance F test, Model R²: Model R square. Qualitative variables were included in the model as dummy variables. They are coded as 0: age < 40 years, male sex, not employed, sufficient income, > secondary education, not married, not smoker, no comorbidities, no previous COVID-19 infection, not know someone infected with COVID -19, not know someone died with COVID -19, no symptoms suggestive of COVID-19 in the past 14 days, the second half of data collection period

ISSN: 2397-0642