Skip to main content
. 2021 Aug 31;18(17):9210. doi: 10.3390/ijerph18179210

Table 2.

COVID-19 vaccination intention—adjusted ordinal logistic regression model.

Variable OR p 95% CI
Gender (ref = women)
Men 1.30 0.038 1.01–1.66
Age (years) 1.03 0.001 1.01–1.05
Health professions student (ref = no)
Yes 0.94 0.621 0.72–1.22
Health status (ref = poor-fair health)
Very good/good health 0.74 0.026 0.57–0.96
Generalized anxiety (ref = minimal (0–4))
Mild (59) 0.94 0.663 0.73–1.23
Moderate (1014) 0.97 0.854 0.71–1.33
Severe (1521) 0.73 0.136 0.48–1.11
Trust in vaccination strategy (ref = no)
Yes 2.40 0.000 1.89–3.05
Seasonal influenza vaccination (ref = no)
Yes 1.39 0.019 1.06–1.83
Travel vaccination (ref = no)
Yes 1.29 0.020 1.04–1.60
5C vaccination antecedents
Confidence 2.52 0.000 2.09–3.03
Complacency 0.79 0.018 0.66–0.96
Constraints 1.18 0.072 0.99–1.41
Calculation 0.79 0.000 0.70–0.89
Collective responsibility 4.47 0.000 3.69–5.40
Cut points
#1 4.13 2.89–5.36
#2 6.44 5.17–7.71
#3 7.96 6.66–9.26
#4 9.23 7.91–10.55
#5 11.12 9.77–12.48
Number of observations 1297
Pseudo R-squared 0.29
Likelihood ratio Chi2 (15) 1308
p > Chi2 0.000

ref = reference category; OR = odds ratio; p = probability; 95% CI = 95% confidence interval; cut points mark boundaries on the latent variable y where the outcome changes, i.e., the probability of an observed outcome for a given x is the area under the curve between a pair of cut points.