| Literature DB >> 33741191 |
Scott Graupensperger1, Devon A Abdallah2, Christine M Lee2.
Abstract
BACKGROUND: Vaccination may be critical to curtailing the spread of the SARS-CoV-2 virus responsible for the COVID-19 pandemic, but herd immunity can only be realized with high vaccination coverage. There is a need to identify empirically supported strategies to increase uptake, especially among young adults as this subpopulation has shown relatively poor adherence to physical distancing guidelines. Social norms - estimates of peers' behavior and attitudes - are robust predictors of health behaviors and norms-based intervention strategies may increase COVID vaccine uptake, once available. This study examined the extent that vaccination intentions and attitudes were associated with estimated social norms as an initial proof-of-concept test.Entities:
Keywords: COVID-19; SARS-CoV-2; Vaccination coverage; Vaccine uptake; Young adults
Year: 2021 PMID: 33741191 PMCID: PMC7965606 DOI: 10.1016/j.vaccine.2021.03.018
Source DB: PubMed Journal: Vaccine ISSN: 0264-410X Impact factor: 3.641
Barriers and reasons for COVID vaccine hesitancy.
I am afraid/nervous about unknown side effects. | 59.51% | 85.19% |
I do not think that a vaccination would work. | 12.52% | 25.93% |
I have a fear of needles/shots. | 10.67% | 11.11% |
I do not have sufficient health insurance to help me financially afford a vaccine. | 16.38% | 24.07% |
My religious beliefs are not congruent with vaccines | 2.78% | 1.85% |
I am afraid/nervous that the vaccine could give me COVID or make me sick. | 22.72% | 29.63% |
I do not trust that it would be sufficiently tested before being made available. | 49.61% | 68.52% |
I have no concerns about a COVID-19 vaccine/shot.1 | 24.11% | 3.70% |
N = 647. 1. Item 8 was an exclusive response option; if item 8 was endorsed, none of the other concerns could be endorsed.
Bivariate correlations and descriptive statistics pertaining to the COVID vaccine and flu vaccine. N = 647.
| 0.60** | ||||||||
| 0.33** | 0.40** | |||||||
| 0.26** | 0.39** | 0.62** | ||||||
| 0.17** | 0.21** | 0.02 | -0.01 | |||||
| 0.29** | 0.39** | 0.06 | 0.04 | 0.58** | ||||
| 0.01 | 0.05 | 0.22** | 0.09* | 0.16** | 0.29** | |||
| 0.10* | 0.09* | 0.14** | 0.24** | 0.18** | 0.37** | 0.51** | ||
| 0.92 | 6.38 | 68.18 | 5.42 | 0.76 | 5.63 | 51.01 | 4.07 | |
| 0.28 | 1.15 | 19.35 | 1.19 | 0.43 | 1.48 | 17.65 | 1.17 | |
| 0 – 1 a | 1 – 7b | 0 – 100c | 1 – 7b | 0 – 1 a | 1 – 7b | 0 – 100c | 1 – 7b |
The variable numbers across the top of the table correspond to the variables listed in the first column. a. 0 = No, 1 = Yes. b. 1 = Not at all important, 7 = Extremely important.c. Estimated percentages ranged from 0% to 100%. *p < .05, **p < .01.
Fig. 1Bar plots comparing (A) normative perceptions for typical young adults, and (C) self-reported vaccine-related behaviors and attitudes. *p < .01, **p < .001.
Regression models predicting COVID and influenza vaccine intentions and perceived importance for young adults to receive these vaccinations.
| Age | 0.93 [0.74, 1.16] | 0.494 | 0.04 (0.03) | 0.202 | 0.91 [0.80, 1.04] | 0.177 | 0.01 (0.04) | 0.832 |
| Sex (0 = Men, 1 = Women) | 0.83 [0.59, 1.60] | 0.593 | 0.03 (0.09) | 0.685 | 1.34 [0.91, 1.95] | 0.135 | 0.15 (0.11) | 0.184 |
| Estimated Descriptive Norms | 1.05 [1.03, 1.07] | <0.001 | 0.02 (0.00) | <0.001 | 1.02 [1.01, 1.03] | 0.047 | 0.01 (0.00) | 0.002 |
| Estimated Injunctive Norms | 1.27 [0.96, 1.70] | 0.099 | 0.22 (0.04) | <0.001 | 1.29 [1.07, 1.56] | 0.008 | 0.39 (0.05) | <0.001 |
: Descriptive norms are participants’ estimates of the percentage of young adults that will get the COVID/influenza vaccine. Injunctive norms are participants’ estimates of how important young adults think the COVID/influenza vaccines are. Norms variables refer to the specific vaccine that is in focus for each model (e.g., in the model predicting intentions to get the COVID vaccine, norms variables refer to estimates pertaining to the COVID vaccine).