Table 4.

Factors Associated with the Change of Intention to Receive Influenza Vaccination After the COVID-19 Epidemic in Beijing (n = 204)^a

	Univariate Analysis			Multivariate Analysis
	OR	95% CI	P-value	OR	95% CI	P-value
Age ≥60 years	0.65	0.32–1.34	0.241
Education level	N/A	N/A	0.746
Current-/Ex-smoker	0.89	0.37–2.16	0.797
≥1 comorbidities	0.79	0.46–1.37	0.407
Maintaining long-term inhaled medications	1.47	0.79–2.75	0.220
Knowing the benefit of influenza vaccine	1.53	0.86–2.75	0.151
Knowing the subsidy policy of influenza vaccination in Beijing	1.78	1.03–3.13	0.039	1.45	0.77–2.71	0.251
Influenza vaccine recommended by medical staffs	1.76	0.98–3.19	0.059	1.42	0.73–2.77	0.299
COVID-19 vaccination	2.39	1.17–3.86	0.013	1.99	1.08–3.65	0.027

Notes: ^aData were analyzed in the patients who did not receive influenza vaccination in the past season (2020/2021, n = 204). Univariate analysis was performed by Chi-square test, while multivariate analysis was performed by binary logistic regression model. The change of intention to influenza vaccination in future was converted to a binary variable, which was recorded as “Yes” or “No”. Except education level, the other variables included in the analysis were also converted to binary variables. The variables with P<0.1 in the univariate analysis were included in multivariate analysis.

Abbreviations: COVID-19, coronavirus disease 2019; OR, odds ratio; CI, confidence interval.