| Literature DB >> 35775776 |
Matteo Riccò1, Marina Valente2, Giorgio Dalmonte3, Federico Marchesi4, Simona Peruzzi5, Lucia Ballabeni6, Concetta Prioriello7.
Abstract
BACKGROUND AND AIM: Vaccinations have dramatically impacted on the ongoing pandemic of COVID-19, the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As morbid obese (MO) individuals are at high risk for severe complications, their acceptance of SARS-CoV-2 vaccines is of certain public health interest.Entities:
Mesh:
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Year: 2022 PMID: 35775776 PMCID: PMC9335429 DOI: 10.23750/abm.v93i3.12386
Source DB: PubMed Journal: Acta Biomed ISSN: 0392-4203
Characteristics of the 72 individuals participating into the study (39 recipients of Bariatric Surgery, 33 in waiting list).
| Variable | Total (No./72, %) | Average ± S.D. |
|---|---|---|
|
| ||
| Age (years) | 45.5 ± 10.19 | |
| Age ≥ 50 years | 27, 37.5% | |
| Male sex | 20, 27.8% | |
| Educational achievement - high school or higher | 21, 29.2% | |
| Migration background | 9, 12.5% | |
|
| 39, 54.2% | |
| Previous diagnosis of COVID-19? | 6, 8.3% | |
| Previous diagnosis of COVID-19 among friends/relatives? | 13, 18.1% | |
|
| ||
| Conventional media (Journals, TV) | 41, 56.9% | |
| Governmental / Institutional web sites | 39, 54.2% | |
| New Media (blog, social media, etc.) | 26, 36.1% | |
| General practitioner | 23, 31.9% | |
| Friends, relatives | 8, 11.1% | |
| Professional courses | 7, 9.7% | |
| Knowledge Score (%) | 64.35 ± 13.71 | |
| Knowledge Score > median (66.7%) | 25, 34.7% | |
Figure 1.Density plots for General Knowledge Score (%) and Risk Perception Score (%). Dotted lines represent the median value for the cumulative score.
Perceived Risk Factors, Barriers, and Facilitators towards SARS-CoV-2 vaccination among 72 individuals participating into the survey (39 recipients of Bariatric Surgery, 33 in waiting list).
| Variable | Total (No./72, %) |
|---|---|
|
| |
| Trust in vaccinations (high / very high) | 60, 83.3% |
| Regularly vaccinated with SIV (Every year / Almost every year) | 27, 37.5% |
|
| 39, 54.2% |
| Any formulates | 47, 65.3% |
| Inactivated formulates | 44, 61.1% |
| Live attenuated formulates | 42, 58.3% |
| mRNA-based formulates | 46, 63.9% |
| Adenovirus-based formualtes | 42, 58.3% |
| Would you pay for COVID-19 vaccine? | |
| Absolutely no | 34, 47.2% |
| Copayment | 25, 34.7% |
| Up to 10€ | 3, 4.2% |
| 10 to 50€ | 1, 1.4% |
| 50 to 100€ | 1, 1.4% |
| 100 to 200€ | 2, 2.8% |
| > 200€ | 4, 5.6% |
| N/A | 2, 2.8% |
| COVID-19 vaccine(s) should receive mandatory status? | |
| Absolutely no, against its delivery | 2, 2.8% |
| Absolutely no, free choice | 24, 33.3% |
| No, it should be reserved to high-risk subjects, including HCWs | 1, 1.4% |
| No, it should be reserved to high-risk subjects and people at occupational risk (not only HCWs) | 6, 8.3% |
| Yes, it should be made mandatory | 32, 44.4% |
| Yes, it should be made mandatory with fines for not compliant | 6, 8.3% |
| Perceived risk for COVID-19 compared to the general population | 24, 33.3% |
| Perceived incidence of COVID-19 (in general) | 57, 79.2% |
| Perceived severity of COVID-19 (in general) | 53, 73.6% |
|
| |
| Inappropriate use of PPE (i.e. gloves, face masks…) | 59, 81.9% |
| Inappropriate use of sanitizing solutions | 48, 66.7% |
| Difficulties in obtaining appropriate PPE | 14, 19.4% |
| Difficulties in wearing PPE during the working shift | 46, 63.9% |
| Inappropriate risk perception in the general population | 54, 75.0% |
| Inappropriate physical distancing at workplaces | 41, 56.9% |
| Collective preventive measures are inadequate | 24, 33.3% |
| Positive patients are not properly tracked/traced/monitored | 38, 52.8% |
| Positive patients are not properly inquired among general population | 35, 48.6% |
| Environmental factors | 28, 38.9% |
| Inappropriate managing of mass transits | 46, 63.9% |
| Inappropriate managing of workplaces | 21, 29.2% |
| Inappropriate managing of schools | 27, 37.5% |
| Inappropriate managing of bar, restaurants and other food business | 31, 43.7% |
Perceived barriers and facilitators towards SARS-CoV-2 vaccination among 72 morbid obese individuals participating into the survey (February - April 2021).
| Variable | Total (No./72, %) |
|---|---|
|
| |
| I want to protect myself | 51, 70.8% |
| I want to protect my friends/relatives | 48, 66.7% |
| Avoiding complications of COVID-19 | 11, 15.3% |
| Avoid developing COVID-19 | 21, 29.2% |
| I’m among high-risk groups | 7, 9.7% |
| I’m not confident in alternative treatments | 2, 2.8% |
|
| |
| Lack of trust in vaccine safety | 50, 69.4% |
| Lack of trust in vaccine efficacy | 26, 36.1% |
| Lack of trust in vaccine disposal | 2, 2.8% |
| Lack of trust in NHS | 1, 1.4% |
| Lack of trust in Health personnel | 1, 1.4% |
| I don’t belong to any at risk groups | 2, 2.8% |
| I’m more confident in alternative therapies, e.g. hyperimmune plasma | 1, 1.4% |
| I’m more confident in alternative therapies, e.g. Hydroxychloroquine | 1, 1.4% |
| I think that economic interests have prevailed over sanitary ones | 20, 27.8% |
Figure 2.Scatterplot representing the correlation between Risk Perception Score (RPS) and General Knowledge Score (GKS). No significant correlation was eventually identified in Spearman Rank correlation test (R = -0.012; p = 0.92).
Comparison of individual factors between by attitude towards the vaccine. The comparisons were performed by means of chi squared test (with Yates’ correction because of the reduced number of individuals).
| Variable | Somewhat agree (No./47, %) | Somewhat disagree (No./25, %) | P value |
|---|---|---|---|
| Being recipient of Bariatric Surgery | 24, 51.1% | 15, 60.0% | 0.634 |
| Age ≥ 50 years | 18, 38.3% | 9, 36.0% | 1.000 |
| Male sex | 14, 29.8% | 6, 24.0% | 0.806 |
| Educational achievement - high schoool or higher | 5, 12.8% | 4, 12.1% | 1.000 |
| Migration background | 14, 29.8% | 7, 27.0% | 1.000 |
| Knowledge Score > median (66.7%) | 17, 36.2% | 8, 32.0% | 0.925 |
| Previous diagnosis of COVID-19 | 3, 6.4% | 3, 12.0% | 0.709 |
| Previous diagnosis of COVID-19 among friends/relatives | 9, 19.1% | 4, 16.0% | 0.993 |
| Higher Risk Perception Score | 25, 52.2% | 10, 40.0% | 0.413 |
| Perceived risk for COVID-19 compared to the general population | 18, 38.3% | 6, 24.0% | 0.336 |
| Perceived incidence of COVID-19 (in general) | 39, 83.0% | 18, 72.0% | 0.431 |
| Perceived severity of COVID-19 (in general) | 39, 83.0% | 14, 56.0% | 0.028 |
| Trust in vaccinations | 42, 89.4% | 18, 72.0% | 0.121 |
| Regularly vaccinated with SIV | 20, 42.6% | 7, 28.0% | 0.338 |
| Journal, TV | 27, 57.4% | 14, 56.0% | 1.000 |
| Governmental web sites | 24, 51.1% | 15, 60.0% | 0.634 |
| New Media | 17, 36.2% | 9, 36.0% | 1.000 |
| Friends, relatives | 6, 12.8% | 2, 8.0% | 0.827 |
| General practitioner | 16, 34.0% | 7, 28.0% | 0.796 |
| Professional courses | 5, 10.6% | 2, 8.0% | 1.000 |
| Favorable attitude towards any economic contribution to be vaccinated | 32, 68.1% | 4, 16.0% | < 0.001 |
| Favorable attitude towards vaccination mandate | 33, 70.2% | 5, 20.0% | < 0.001 |
| Being Recipient of Bariatric Surgery | 24, 51.1% | 15, 60.0% | 0.634 |
| Lack of trust in vaccine safety | 33, 70.2% | 17, 68.0% | 1.000 |
| Lack of trust in vaccine efficacy | 14, 29.8% | 12, 48.0% | 0.203 |
| Lack of trust in vaccine disposal | 2, 4.3% | 0, - | 0.770 |
| Lack of trust in NHS | 1, 2.1% | 0, - | 1.000 |
| Lack of trust in Health personnel | 1, 2.1% | 0, - | 1.000 |
| I don’t belong to any at risk groups | 1, 2.1% | 1, 4.0% | 1.000 |
| I’m more confident in alternative therapies, e.g. hyperimmune plasma | 1, 2.1% | 0, - | 1.000 |
| I’m more confident in alternative therapies, e.g. Hydroxychloroquine | 1, 2.1% | 0, - | 1.000 |
| I think that economic interests have prevailed over sanitary ones | 17, 36.2% | 3, 12.0% | 0.057 |
| I want to protect myself | 32, 68.1% | 19, 76.0% | 0.666 |
| I want to protect my relatives | 32, 68.1% | 16, 64.0% | 0.930 |
| Avoiding complications of COVID-19 | 6, 12.8% | 5, 20.0% | 0.640 |
| Avoid developing COVID-19 | 13, 27.7% | 8, 32.0% | 0.910 |
| I’m among high-risk groups | 6, 12.8% | 1, 4.0% | 0.437 |
| I’m not confident in alternative treatments | 2, 4.3% | 0, - | 0.770 |
Figure 3.Attitude towards SARS-CoV-2 (i.e. agreement vs. disagreement) by age group. No significant difference was identified, even though all (n = 4) participants aged 60 years or more at the time of the survey were not favorable towards SARS-CoV-2 vaccine.
Multivariate analysis of factors associated with the outcome variable of being somewhat favorable towards COVID-19 vaccination. The association is reported as adjusted odds ratios (aOR) with the correspondent 95% confidence intervals (95%CI) whose calculation was performed by means of binary logistic regression analysis of all factors that in univariate analysis were associated with the outcome variable with a p < 0.2.
| Variables | Being somewhat favorable towards COVID-19 vaccine | |
|---|---|---|
| aOR | 95%CI | |
| Trust in vaccinations | 1.082 | 0.211; 5.539 |
| Perceived severity of COVID-19 (severe / very severe) | 2.874 | 0.703; 11.749 |
| Favorable attitude towards any economic contribution to be vaccinated | 5.783 | 1.426; 23.456 |
| Favorable attitude towards vaccination mandate | 7.920 | 1.995; 31.444 |
| I think that economic interests have prevailed over sanitary ones | 0.233 | 0.042; 1.278 |
Knowledge test: response distribution of presented items proposed to the 72 morbid obese individuals participating in the survey and contributing to the assessment of General Knowledge Score (GKS) (Cronbach’s Alpha = 0.774).
| Statement | CORRECT ANSWER | No., % |
|---|---|---|
|
| TRUE | 53 (73.6%) |
|
| TRUE | 58 (80.6%) |
|
| ||
| … is greater than 1 out of 10 affected cases (> 10%) | FALSE | 2 (2.8%) |
| … accounts to 1 out of 10 affected cases (~10%) | FALSE | 19 (26.4%) |
| … accounts to 1 out of 100 affected cases (~1%) | TRUE | 28 (38.9%) |
| … accounts to 1 out of 1000 affected cases (~0.1%) | FALSE | 6 (8.3%) |
| … still remains unknown | FALSE | 6 (8.3%) |
|
| ||
| … less than 1,000 | FALSE | 1 (1.4%) |
| … between 10,000 and 100,000 individuals | FALSE | 9 (12.5%) |
| … between 100,000 and 500,000 individuals | FALSE | 16 (22.2%) |
| … between 500,000 and 1,000,000 individuals | TRUE | 21 (29.2%) |
| … over 1,000,000 individuals | FALSE | 8 (11.1%) |
|
| ||
| … HIV | FALSE | 1 (1.4%) |
| … measles virus | FALSE | 1 (1.4%) |
| … influenza virus | FALSE | 17 (23.6%) |
| … SARS virus | TRUE | 42 (58.3%) |
|
| FALSE | 50 (69.4%) |
|
| FALSE | 62 (86.1%) |
|
| TRUE | 67 (93.1%) |
|
| FALSE | 31 (43.1%) |
|
| TRUE | 46 (63.9%) |
|
| FALSE | 62 (86.1%) |
|
| FALSE | 43 (59.7%) |
|
| TRUE | 57 (79.2%) |
|
| TRUE | 67 (93.1%) |
|
| TRUE | 67 (93.1%) |