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Acceptance & Hesitation

Is vaccine hesitancy related to mental health after the adjustment of the zero-COVID-19 strategy in the elderly? A mediation analysis in China

, , , , &
Article: 2288726 | Received 01 Sep 2023, Accepted 24 Nov 2023, Published online: 06 Dec 2023

Figures & data

Table 1. Sample characteristics of participants (n = 658).

Table 2. Correlations between variables of interest (n = 658).

Figure 1. Mediation effect of COVID-19 vaccine hesitancy between demographics and anxiety symptoms.

Note. RMSEA (Root mean square error of approximation) is an index used to evaluate model misfit. CFI (Comparative Fit Index) is used to measure the consistency between the model and the original data. SRMR (standardized root mean square residual) value measures the residual mean between observed variables and predictor variables in the model. RMSEA ≤ 0.05, CFI ≥ 0.95 and SRMR ≤ 0.08 represent an excellent fitting model.
Figure 1. Mediation effect of COVID-19 vaccine hesitancy between demographics and anxiety symptoms.

Figure 2. Mediation effect of COVID-19 vaccine hesitancy between demographics and depression symptoms.

Figure 2. Mediation effect of COVID-19 vaccine hesitancy between demographics and depression symptoms.

Figure 3. Mediation effect of COVID-19 vaccine hesitancy between demographics and benefit-finding.

Figure 3. Mediation effect of COVID-19 vaccine hesitancy between demographics and benefit-finding.

Figure 4. Mediation effect of COVID-19 vaccine hesitancy between demographics and fear.

Figure 4. Mediation effect of COVID-19 vaccine hesitancy between demographics and fear.

Table 3. Mediation effect of COVID-19 vaccine hesitancy between demographics and mental health.

Table 4. Total score of 5C and score of each dimension in participants (n = 658).

Supplemental material

Supplemental Material_Measurement_1.docx

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Supplemental Material_Measurement_2.docx

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Data availability statement

Data will be made available on request.