| Literature DB >> 34147967 |
Yucheng Xu1, Ruiyin Zhang2, Zhifeng Zhou1, Jingjie Fan3, Jing Liang4, Lin Cai4, Lin Peng5, Fangmei Ren6, Wei Lin7.
Abstract
BACKGROUND: Parental attitudes towards the vaccines play a key role in the success of the herd immunity for the COVID-19. Psychological health seems to be a controversial determinant of vaccine hesitancy and remains to be investigated. This study attempted to measure parental psychological distress, attitudes towards the COVID-19 vaccine, and to explore the potential associations.Entities:
Keywords: Attitude; COVID-19; Parent; Psychological distress; Vaccine hesitancy
Year: 2021 PMID: 34147967 PMCID: PMC8179837 DOI: 10.1016/j.jad.2021.06.003
Source DB: PubMed Journal: J Affect Disord ISSN: 0165-0327 Impact factor: 4.839
Fig. 1The flow chart of the survey.
Characteristics of the parents and their children (N=4748).
| Characteristics | Number | Percentage (%) |
|---|---|---|
| Age (year) | ||
| <30 | 59 | 1.2 |
| 30-40 | 1965 | 41.4 |
| ≥40 | 2724 | 57.4 |
| Gender | ||
| Male | 1138 | 24.0 |
| Female | 3610 | 76.0 |
| Registered permanent residence | ||
| Yes | 3074 | 64.7 |
| No | 1674 | 35.3 |
| Marital status | ||
| Married | 4591 | 96.7 |
| Single/divorced | 157 | 3.3 |
| Education level | ||
| College or above | 2002 | 42.2 |
| Senior high school or below | 2746 | 57.8 |
| Occupation type | ||
| Administrative staff | 1090 | 23.0 |
| Professionals | 664 | 14.0 |
| Industrial/agricultural worker | 125 | 2.6 |
| Business/services | 1262 | 26.6 |
| Housewife | 878 | 18.5 |
| Unemployed | 49 | 1.0 |
| Others | 680 | 14.3 |
| The number of children in the family | ||
| One | 1579 | 33.3 |
| Two or more | 3169 | 66.7 |
| Age of the present child in school (year) | ||
| <10 | 1324 | 27.9 |
| 10-14 | 2349 | 49.5 |
| ≥14 | 1075 | 22.6 |
| The gender of the present child in school | ||
| Male | 2490 | 52.4 |
| Female | 2258 | 47.6 |
Parental psychological distress and attitudes towards COVID-19 vaccination (N=4748).
| Variables | Male, n (%) | Female, n (%) | P value | Overall, n (%) |
|---|---|---|---|---|
| Psychological distress | ||||
| Normal | 967 (85.0) | 2773 (76.8) | <0.001 | 3740 (78.8) |
| Mild | 147 (12.9) | 704 (19.5) | 851 (17.9) | |
| Moderate | 17 (1.5) | 95 (2.6) | 112 (2.4) | |
| Severe | 7 (0.6) | 38 (1.1) | 45 (0.9) | |
| Heard of COVID-19 | ||||
| Yes | 1129 (99.2) | 3575 (99.0) | 0.583 | 4704 (99.1) |
| No | 9 (0.8) | 35 (1.0) | 44 (0.90) | |
| Heard of COVID-19 vaccine | ||||
| Yes | 1112 (97.7) | 3526 (97.7) | 0.934 | 4638 (97.7) |
| No | 26 (2.3) | 84 (2.3) | 110 (2.3) | |
| Willing to receive vaccination for themselves | ||||
| Yes | 920 (80.8) | 2630 (72.9) | <0.001 | 3550 (74.8) |
| No | 125 (11.0) | 632 (17.5) | 757 (15.9) | |
| Uncertain | 93 (8.2) | 348 (9.6) | 441 (9.3) | |
| Willing to receive vaccination for their spouses | ||||
| Yes | 901 (79.2) | 2608 (72.2) | <0.001 | 3509 (73.9) |
| No | 154 (13.5) | 650 (18.0) | 804 (16.9) | |
| Uncertain | 83 (7.3) | 352 (9.8) | 435 (9.2) | |
| Willing to receive vaccination for their children | ||||
| Yes | 899 (79.0) | 2552 (70.7) | <0.001 | 3451 (72.7) |
| No | 174 (15.3) | 805 (22.3) | 979 (20.6) | |
| Uncertain | 65 (5.7) | 253 (7.0) | 318 (6.7) | |
| The main reason of parental vaccine hesitancy | ||||
| Considering no risk of COVID-19 infection | 55 (4.8) | 93 (2.6) | 0.003 | 148 (3.1) |
| Considering the vaccine not being widely used yet | 195 (17.1) | 615 (17.0) | 810 (17.1) | |
| Considering the vaccine being expensive | 61 (5.4) | 156 (4.3) | 217 (4.6) | |
| Worries about the safety | 602 (52.9) | 2068 (57.3) | 2670 (56.2) | |
| Worries about the effectiveness | 70 (6.2) | 210 (5.8) | 280 (5.9) | |
| Distrust of the supplying source | 17 (1.5) | 53 (1.5) | 70 (1.5) | |
| Other unknown reasons | 138 (12.1) | 415 (11.5) | 553 (11.6) | |
Fig. 2Distributions of parental vaccine hesitancy across distinct levels of psychological distress.
Association between parental psychological distress and vaccine hesitancy for themselves (N=4748).
| Psychological distress | Vaccine hesitancy | P-value* | Model 1 | Model 2 | Model 3 | |
|---|---|---|---|---|---|---|
| Yes, n (%) | No, n (%) | |||||
| Two-category variable | ||||||
| No | 899 (24.0) | 2841 (76.0) | <0.001 | 1.000 (reference) | 1.000 (reference) | 1.000 (reference) |
| Yes | 299 (29.7) | 709 (70.3) | 1.333 (1.142, 1.555) | 1.279 (1.094, 1.496) | 1.277 (1.091, 1.494) | |
| Four-category variable | ||||||
| Normal | 899 (24.0) | 2841 (76.0) | 0.002 | 1.000 (reference) | 1.000 (reference) | 1.000 (reference) |
| Mild | 254 (29.8) | 597 (70.2) | 1.345 (1.140, 1.586) | 1.284 (1.086, 1.517) | 1.293 (1.085, 1.517) | |
| Moderate | 29 (25.9) | 83 (74.1) | 1.104 (0.719, 1.696) | 1.098 (0.712, 1.693) | 1.078 (0.698, 1.665) | |
| Severe | 16 (35.6) | 29 (64.4) | 1.744 (0.943, 3.225) | 1.690 (0.908, 3.143) | 1.719 (0.923, 3.200) | |
| Continuous variable | 1.42±0.06 | 1.15±0.03 | <0.001 | 1.071 (1.037, 1.105) | 1.062 (1.028, 1.097) | 1.062 (1.028, 1.097) |
*Chi-square test (categorical variables) and the t-test (continuous variable) were applied to detect distributed difference of psychological distress.
Model 1: unadjusted
Model 2: adjusted for age, gender, registered permanent residence, marital status, education level, and occupation type
Model 3: adjusted for age, gender, registered permanent residence, marital status, education level, occupation type, the number of children in the family, age and gender of the present child.
Association between parental psychological distress and vaccine hesitancy for their spouses (N=4591).
| Psychological distress | Vaccine hesitancy | P-value* | Model 1 | Model 2 | Model 3 | |
|---|---|---|---|---|---|---|
| Yes, n (%) | No, n (%) | |||||
| Two-category variable | ||||||
| No | 887 (24.5) | 2732 (75.5) | <0.001 | 1.000 (reference) | 1.000 (reference) | 1.000 (reference) |
| Yes | 292 (30.0) | 680 (70.0) | 1.323 (1.131, 1.547) | 1.278 (1.090, 1.497) | 1.276 (1.088, 1.496) | |
| Four-category variable | ||||||
| Normal | 887 (24.5) | 2732 (75.5) | <0.001 | 1.000 (reference) | 1.000 (reference) | 1.000 (reference) |
| Mild | 244 (29.7) | 577 (70.3) | 1.302 (1.101, 1.540) | 1.250 (1.055, 1.481) | 1.249 (1.054, 1.481) | |
| Moderate | 28 (25.9) | 80 (74.1) | 1.078 (0.696, 1.669) | 1.082 (0.696, 1.681) | 1.060 (0.681, 1.649) | |
| Severe | 20 (46.5) | 23 (53.5) | 2.678 (1.464, 4.900) | 2.675 (1.453, 4.925) | 2.736 (1.485, 5.040) | |
| Continuous variable | 1.44±0.06 | 1.14±0.03 | <0.001 | 1.079 (1.044, 1.115) | 1.072 (1.038, 1.109) | 1.073 (1.038, 1.109) |
*Chi-square test (categorical variables) and the t-test (continuous variable) were applied to detect distributed difference of psychological distress.
Model 1: unadjusted
Model 2: adjusted for age, gender, registered permanent residence, marital status, education level, and occupation type
Model 3: adjusted for age, gender, registered permanent residence, marital status, education level, occupation type, the number of children in the family, age and gender of the present child.
Association between parental psychological distress and vaccine hesitancy for their children (N=4748).
| Psychological distress | vaccine hesitancy | P-value* | Model 1 | Model 2 | Model 3 | |
|---|---|---|---|---|---|---|
| Yes, n (%) | No, n (%) | |||||
| Two-category variable | ||||||
| No | 974 (26.0) | 2766 (74.0) | <0.001 | 1.000 (reference) | 1.000 (reference) | 1.000 (reference) |
| Yes | 323 (32.0) | 685 (68.0) | 1.339 (1.151, 1.558) | 1.274 (1.093, 1.486) | 1.274 (1.092, 1.486) | |
| Four-category variable | ||||||
| Normal | 974 (26.0) | 2766 (74.0) | 0.001 | 1.000 (reference) | 1.000 (reference) | 1.000 (reference) |
| Mild | 273 (32.1) | 578 (67.9) | 1.341 (1.141, 1.576) | 1.266 (1.074,1.492) | 1.267 (1.075, 1.494) | |
| Moderate | 32 (28.6) | 80 (71.4) | 1.136 (0.749,1.723) | 1.132 (0.742, 1.728) | 1.117 (0.732, 1.705) | |
| Severe | 18 (40.0) | 27 (60.0) | 1.893 (1.038,3.453) | 1.876 (1.018, 3.456) | 1.890 (1.026, 3.483) | |
| Continuous variable | 1.42±0.06 | 1.15±0.03 | <0.001 | 1.073 (1.040, 1.108) | 1.063 (1.030, 1.098) | 1.063 (1.029, 1.098) |
*Chi-square test (categorical variables) and the t-test (continuous variable) were applied to detect distributed difference of psychological distress.
Model 1: unadjusted
Model 2: adjusted for age, gender, registered permanent residence, marital status, education level, and occupation type
Model 3: adjusted for age, gender, registered permanent residence, marital status, education level, occupation type, the number of children in the family, age and gender of the present child.