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. 2024 May 9;19(5):e0294480. doi: 10.1371/journal.pone.0294480

Table 5. Multivariable binary logistics regression model for the vaccine hesitancy prediction by HBM, TPB, and 5C Psychological antecedents.

Variables Adjusted odds ratio p-value 95%CI
Model A: LR chi2(25) = 130.21
HBM
Perceived Susceptibility 0.80 0.13 0.61 1.07
Perceived Severity 0.88 0.62 0.52 1.47
Perceived Benefits 0.26 0.00 0.15 0.47
Perceived Barriers 1.56 0.21 0.77 3.14
Cues to Action
Social media (e.g., Facebook) or online news portals/blogs as a source of knowledge about the COVID-19 vaccine
Yes (ref)
No 0.72 0.43 0.31 1.64
Printed newspaper as a source of knowledge about the COVID-19 vaccine
Yes (ref)
No 1.97 0.09 0.91 4.27
Model B: LR chi2(25) = 118.07
TPB
Negative Attitude toward vaccine 4.17 0.00 2.06 8.45
Subjective norm 0.95 0.85 0.58 1.57
Perceived behavioral control 1.05 0.84 0.64 1.72
Anticipated regret 0.76 0.24 0.47 1.21
Model C: LR chi2(26) = 127.80
The 5c Psychological Antecedents of Vaccination
Confidence 0.42 0.00 0.24 0.72
Constraints 0.69 0.09 0.45 1.06
Complacency 1.60 0.11 0.90 2.84
Calculation 1.00 0.99 0.57 1.73
Collective responsibility 0.48 0.02 0.27 0.89

Note: In models A, B, and C, the effects of the following variables were controlled for all models, separately: age of the respondents, educational status, occupation, caste, any 60+ family member, number of chronic diseases, knowledge about the COVID-19 vaccine, knowledge about the COVID-19 vaccination process, behavioral practices to prevent COVID-19, conspiracy belief regarding COVID-19 vaccine.