Table 2. Characteristics related to four different components of vaccine hesitancy according to negative binomial models, Shanghai, 2017.
| Lack of confidence (items L1-L4, L6-L8) | New vaccines risky (item L5) | Concerns about side effects (item L9) | Some vaccines no longer needed (item L10) | |||||
|---|---|---|---|---|---|---|---|---|
| β (95% CI) | P | β (95% CI) | P | β (95% CI) | P | β (95% CI) | P | |
| Intercept | 1.58 (1.41, 1.75) | <0.0001 | 3.13 (2.95, 3.31) | <0.0001 | 4.03 (3.71, 4.34) | <0.0001 | 3.00 (2.74, 3.26) | <0.0001 |
| Relation to child | ||||||||
| Mother | reference | reference | reference | reference | ||||
| Father | -0.06 (-0.12, -0.01) | 0.0179 | 0.21 (0.07, 0.36) | 0.0030 | -0.13 (-0.25, -0.01) | 0.0311 | 0.06 (-0.08, 0.20) | 0.3884 |
| Grandparent | 0.16 (-0.06, 0.39) | 0.1588 | -0.04 (-0.37, 0.30) | 0.8320 | -0.34 (-0.84, 0.17) | 0.1911 | 0.12 (-0.43, 0.66) | 0.6704 |
| Urbanicity | ||||||||
| Urban | reference | reference | reference | reference | ||||
| Inner suburb | 0.03 (-0.08, 0.15) | 0.5935 | 0.00 (-0.14, 0.14) | 0.9737 | -0.01 (-0.17, 0.16) | 0.9495 | -0.17 (-0.47, 0.14) | 0.2809 |
| Outer suburb | 0.13 (0.01, 0.25) | 0.0413 | -0.10 (-0.19, -0.01) | 0.0296 | -0.13 (-0.31, 0.06) | 0.1837 | -0.30 (-0.61, 0.01) | 0.0606 |
| Residency | ||||||||
| Local | reference | reference | reference | reference | ||||
| Urban non-local | 0.07 (-0.02, 0.16) | 0.1138 | -0.15 (-0.28, -0.01) | 0.0293 | -0.06 (-0.32, 0.20) | 0.6473 | -0.29 (-0.53, -0.05) | 0.0174 |
| Rural non-local | 0.10 (0.02, 0.18) | 0.0128 | -0.22 (-0.41, -0.04) | 0.0189 | -0.10 (-0.25, 0.05) | 0.1890 | -0.34 (-0.52, -0.16) | 0.0002 |
| Education | ||||||||
| ≤Middle school | -0.06 (-0.22, 0.10) | 0.4474 | 0.49 (0.21, 0.77) | 0.0006 | -0.21 (-0.52, 0.11) | 0.1986 | -0.16 (-0.76, 0.43) | 0.5914 |
| High school | 0.00 (-0.15, 0.15) | 0.9776 | 0.53 (0.22, 0.83) | 0.0006 | -0.24 (-0.48, 0.00) | 0.0527 | -0.06 (-0.56, 0.44) | 0.8073 |
| Vocational | -0.09 (-0.24, 0.06) | 0.2294 | 0.47 (0.26, 0.69) | <0.0001 | -0.13 (-0.38, 0.12) | 0.3222 | -0.12 (-0.48, 0.23) | 0.4913 |
| College | -0.13 (-0.28, 0.01) | 0.0716 | 0.38 (0.22, 0.54) | <0.0001 | -0.09 (-0.40, 0.22) | 0.5679 | -0.02 (-0.34, 0.31) | 0.9058 |
| Graduate school | reference | reference | reference | reference | ||||
| Monthly family income | ||||||||
| <5,000 RMB | 0.03 (-0.06, 0.12) | 0.5125 | 0.09 (-0.15, 0.32) | 0.4672 | 0.13 (-0.08, 0.34) | 0.2192 | 0.21 (-0.12, 0.54) | 0.2109 |
| 5,000–7,499 RMB | -0.10 (-0.23, 0.03) | 0.1168 | 0.14 (-0.03, 0.32) | 0.1125 | 0.12 (-0.07, 0.32) | 0.2187 | 0.05 (-0.38, 0.48) | 0.8204 |
| 7,500–9,999 RMB | -0.02 (-0.12, 0.08) | 0.7128 | 0.33 (0.14, 0.51) | 0.0007 | 0.15 (-0.10, 0.39) | 0.2385 | 0.22 (-0.14, 0.58) | 0.2267 |
| 10,000–14,999 RMB | 0.08 (-0.02, 0.17) | 0.1275 | 0.07 (-0.11, 0.25) | 0.4591 | 0.09 (-0.11, 0.29) | 0.3640 | 0.11 (-0.13, 0.35) | 0.3842 |
| ≥15,000 RMB | reference | reference | reference | reference | ||||
| Experience with VPDs | ||||||||
| No | reference | reference | reference | reference | ||||
| Yes | 0.00 (-0.08, 0.08) | 0.9304 | 0.00 (-0.13, 0.13) | 0.9932 | -0.07 (-0.21, 0.06) | 0.3035 | -0.12 (-0.26, 0.02) | 0.0948 |