| Literature DB >> 35918635 |
Yu-Jin Jung1, Amandine Gagneux-Brunon2,3,4,5, Marion Bonneton5, Elisabeth Botelho-Nevers2,3,4,5, Pierre Verger5,6,7, Jeremy K Ward7,8, Odile Launay9,5.
Abstract
BACKGROUND: In France, the increase in COVID-19 vaccine uptake among older adults slowed down between May and June 2021. Using the data from a national survey, we aimed to assess COVID-19 vaccine uptake among French residents aged 65 years and older, particularly at risk of severe form of the infection, and identify factors associated with non-vaccination.Entities:
Keywords: COVID-19; Pandemic; Vaccination intention
Mesh:
Substances:
Year: 2022 PMID: 35918635 PMCID: PMC9344255 DOI: 10.1186/s12877-022-03338-3
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 4.070
Individual characteristics of survey respondents (n = 1941) overall and according to immunization status
| Individual characteristics | Overall (1941)a | Vaccinated (1612)a | Unvaccinated (329)a | pb | |||
|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||
| Gender | |||||||
| Female | 1105 | 57 | 890 | 55 | 215 | 65 | 0.001 |
| Male | 836 | 43 | 722 | 45 | 114 | 35 | |
| Age category | |||||||
| 65–74 | 1049 | 54 | 839 | 52 | 210 | 64 | <0.001 |
| 75+ | 892 | 46 | 773 | 48 | 119 | 36 | |
| Region | |||||||
| Auvergne-Rhône-Alpes | 237 | 12 | 208 | 13 | 29 | 9 | 0.018 |
| Bourgogne-Franche-Comté | 96 | 5 | 86 | 5 | 10 | 3 | |
| Bretagne | 112 | 6 | 89 | 6 | 23 | 7 | |
| Centre-Val de Loire | 85 | 4 | 66 | 4 | 19 | 6 | |
| Grand Est | 167 | 9 | 150 | 9 | 16 | 5 | |
| Hauts-de-France | 162 | 8 | 139 | 9 | 23 | 7 | |
| Ile-de-France | 271 | 14 | 225 | 14 | 45 | 14 | |
| Normandie | 107 | 5 | 93 | 6 | 13 | 4 | |
| Nouvelle Aquitaine | 214 | 11 | 173 | 11 | 41 | 12 | |
| Occitanie | 200 | 10 | 158 | 10 | 42 | 13 | |
| Pays de la Loire | 118 | 6 | 88 | 5 | 30 | 9 | |
| Provence-Alpes-Côte d’Azur | 173 | 9 | 136 | 8 | 37 | 11 | |
| Population of residence area | |||||||
| < 2000 inhabitants | 549 | 28 | 431 | 27 | 118 | 36 | 0.005 |
| 2000–20,000 inhabitants | 795 | 41 | 681 | 42 | 114 | 35 | |
| 20,000–100,000 inhabitants | 376 | 19 | 321 | 20 | 55 | 17 | |
| > 100,000 inhabitants | 221 | 11 | 179 | 11 | 42 | 13 | |
| Former occupation | |||||||
| Farmer | 4 | <1 | 4 | <1 | 0 | – | 0.004 |
| Craftman, merchant, company director | 104 | 5 | 78 | 5 | 26 | 8 | |
| Executive or higher intellectual profession | 843 | 43 | 731 | 45 | 112 | 34 | |
| Intermediate profession | 534 | 28 | 442 | 27 | 92 | 28 | |
| Employee | 358 | 18 | 283 | 18 | 75 | 23 | |
| Worker | 83 | 4 | 65 | 4 | 18 | 6 | |
| Other non-working people | 16 | <1 | 10 | 1 | 6 | 2 | |
| At least one comorbidity associated with increased risk of severe COVID-19 | |||||||
| Yes | 849 | 44 | 723 | 45 | 125 | 38 | 0.072 |
| No | 1030 | 53 | 841 | 52 | 189 | 58 | |
| Unsure | 63 | 3 | 48 | 3 | 15 | 4 | |
| Think previously had COVID-19 (Yes) | 100 | 5 | 62 | 4 | 38 | 11 | <0.0001 |
| Concern about catching the COVID-19 | |||||||
| Unconcerned or very little concerned | 447 | 23 | 387 | 24 | 60 | 18 | 0.037 |
| Moderately concerned | 574 | 30 | 469 | 29 | 105 | 32 | |
| Quite concerned | 429 | 22 | 365 | 23 | 64 | 20 | |
| Very concerned | 377 | 19 | 306 | 19 | 71 | 22 | |
| Unsure | 116 | 6 | 87 | 5 | 29 | 9 | |
| Suffered health impact due to the pandemic (Yes) | 599 | 31 | 475 | 29 | 125 | 38 | 0.005 |
| Suffered economic impact due to the pandemic (Yes) | 208 | 11 | 139 | 9 | 69 | 21 | <0.0001 |
| Following-up news on COVID-19 | |||||||
| Daily | 1262 | 65 | 1094 | 68 | 168 | 51 | <0.0001 |
| Several times a week | 328 | 17 | 267 | 17 | 60 | 18 | |
| Once or twice a week | 169 | 9 | 126 | 8 | 44 | 13 | |
| Less often | 145 | 7 | 105 | 7 | 39 | 12 | |
| Never | 38 | 2 | 21 | 1 | 17 | 5 | |
| Trust in information on vaccines delivered by: | |||||||
| Doctor (Yes) | 1826 | 94 | 1561 | 97 | 266 | 81 | <0.0001 |
| Pharmacist (Yes) | 1685 | 87 | 1464 | 91 | 221 | 67 | <0.0001 |
| Ministry of health (Yes) | 1138 | 59 | 1040 | 65 | 98 | 30 | <0.0001 |
| Government (Yes) | 940 | 48 | 874 | 54 | 66 | 20 | <0.0001 |
| Pharmaceutical industry (Yes) | 858 | 44 | 789 | 49 | 69 | 21 | <0.0001 |
| Experts visible in the media (Yes) | 1200 | 62 | 1078 | 67 | 122 | 37 | <0.0001 |
| Family and friends (Yes) | 1342 | 69 | 1142 | 71 | 200 | 61 | 0.0011 |
| The internet (Yes) | 302 | 16 | 252 | 16 | 50 | 15 | 0.859 |
| Traditional media (Yes) | 805 | 42 | 736 | 46 | 70 | 21 | <0.0001 |
| Public health agencies (Yes) | 1213 | 63 | 1101 | 68 | 112 | 34 | <0.0001 |
| General opinion about COVID-19 vaccine efficacy | |||||||
| Effective | 1564 | 81 | 1406 | 87 | 158 | 48 | <0.0001 |
| Uneffective | 99 | 5 | 30 | 2 | 69 | 21 | |
| Unsure | 278 | 14 | 176 | 11 | 102 | 31 | |
| General opinion about COVID-19 vaccine safety | |||||||
| Safe | 1398 | 72 | 1284 | 80 | 114 | 35 | <0.0001 |
| Unsafe | 245 | 13 | 112 | 7 | 133 | 40 | |
| Unsure | 299 | 15 | 216 | 13 | 82 | 25 | |
| Attitude towards vaccination in general | |||||||
| Very supportive | 843 | 43 | 784 | 49 | 60 | 18 | <0.0001 |
| Somewhat supportive | 826 | 43 | 687 | 43 | 139 | 42 | |
| Somewhat unsupportive | 157 | 8 | 93 | 6 | 64 | 19 | |
| Very unsupportive | 71 | 4 | 25 | 2 | 46 | 14 | |
| Unsure | 44 | 2 | 24 | 1 | 20 | 6 | |
| Trust in government’s actions to control the epidemic (Yes) | 1012 | 52 | 925 | 57 | 87 | 27 | <0.0001 |
| Political party affiliation | |||||||
| Far-Left | 107 | 5 | 83 | 5 | 23 | 7 | <0.0001 |
| Left | 243 | 13 | 213 | 13 | 30 | 9 | |
| Green | 98 | 5 | 76 | 5 | 22 | 7 | |
| Center | 456 | 24 | 405 | 25 | 50 | 15 | |
| Right | 337 | 17 | 301 | 19 | 36 | 11 | |
| Far-Right | 212 | 11 | 145 | 9 | 67 | 20 | |
| Other | 25 | 1 | 19 | 1 | 6 | 2 | |
| Neither | 464 | 24 | 370 | 23 | 94 | 29 | |
aAs analyses were carried out on weighted data and underwent rounding, the sums, as well as percentages, for each lign and column can slightly differ from the expected totals
bP-values resulting from comparison of vaccinated and unvaccinated participants
Univariate and multivariate analyses of factors associated with non-vaccination
| Unvaccinated % | Crude OR for non-vaccination | Adjusted OR for non-vaccination | |||||
|---|---|---|---|---|---|---|---|
| Age category | |||||||
| 65–74 | 20 | 1.63 | 1.22–2.16 | <0.001 | 1.50 | 1.05–2.14 | 0.025 |
| 75+ (reference) | 13 | 1 | 1 | ||||
| Female (vs male) | 20 | 1.53 | 1.18–1.98 | 0.001 | 0.94 | 0.67–1.32 | 0.723 |
| Region | |||||||
| Auvergne-Rhône-Alpes | 12 | 0.69 | 0.43–1.13 | 0.018 | 0.57 | 0.31–1.05 | 0.078 |
| Bourgogne-Franche-Comté | 11 | 0.58 | 0.26–1.29 | 0.61 | 0.21–1.76 | ||
| Bretagne | 21 | 1.29 | 0.72–2.34 | 0.93 | 0.44–1.95 | ||
| Centre-Val de Loire | 22 | 1.43 | 0.78–2.62 | 1.43 | 0.67–3.03 | ||
| Grand Est | 10 | 0.54 | 0.28–1.07 | 0.47 | 0.22–1.00 | ||
| Hauts-de-France | 14 | 0.81 | 0.44–1.47 | 0.69 | 0.33–1.43 | ||
| Ile-de-France (reference) | 17 | 1 | 1 | ||||
| Normandie | 13 | 0.72 | 0.31–1.68 | 0.91 | 0.37–2.29 | ||
| Nouvelle Aquitaine | 19 | 1.18 | 0.73–1.89 | 1.20 | 0.65–2.20 | ||
| Occitanie | 21 | 1.32 | 0.83–2.09 | 1.43 | 0.80–2.57 | ||
| Pays de la Loire | 26 | 1.70 | 0.99–2.90 | 1.32 | 0.65–2.68 | ||
| Provence-Alpes-Côte d’Azur | 21 | 1.35 | 0.83–2.18 | 1.20 | 0.65–2.22 | ||
| Population of residence area | |||||||
| < 2000 inhabitants | 21 | 1.63 | 1.17–2.27 | 0.005 | 1.78 | 1.18–2.68 | 0.053 |
| 2000–20,000 inhabitants (reference) | 14 | 1 | 1 | ||||
| 20,000–100,000 inhabitants | 15 | 1.03 | 0.71–1.48 | 1.20 | 0.76–1.88 | ||
| > 100,000 inhabitants | 19 | 1.42 | 1.01–1.99 | 1.31 | 0.85–2.02 | ||
| Former occupation | |||||||
| Farmer, craftman, merchant, company director | 24 | 2.08 | 1.20–3.59 | 0.004 | 1.99 | 0.99–3.98 | 0.086 |
| Executive or higher intellectual profession (reference) | 13 | 1 | 1 | 1 | |||
| Intermediate profession | 17 | 1.36 | 0.98–1.87 | 1.09 | 0.73–1.61 | ||
| Employee | 21 | 1.73 | 1.22–2.46 | 1.37 | 0.89–2.11 | ||
| Worker | 22 | 1.84 | 1.02–3.31 | 0.93 | 0.41–2.13 | ||
| Other non-working people | 36 | 3.67 | 1.07–12.6 | 8.43 | 1.27–55.84 | ||
| At least one comorbidity associated with risk of severe COVID-19 | |||||||
| Yes | 15 | 0.77 | 0.59–1.01 | 0.072 | 0.83 | 0.59–1.17 | 0.343 |
| No (reference) | 18 | 1 | 1 | ||||
| Unsure | 23 | 1.36 | 0.71–2.60 | 0.61 | 0.25–1.45 | ||
| Think previously had COVID-19 (unconfirmed) (yes vs no) | 38 | 3.21 | 2.05–5.02 | <0.0001 | 4.01 | 2.17–7.40 | <0.001 |
| Concern about catching the COVID-19 | |||||||
| Concerned (reference) | 17 | 1 | 0.098 | 1 | 0.862 | ||
| Unconcerned | 16 | 0.96 | 0.73–1.26 | 1.10 | 0.78–1.55 | ||
| Unsure | 25 | 1.65 | 1.00–2.71 | 1.04 | 0.52–2.06 | ||
| Suffered economic impact due to the pandemic (yes vs no) | 33 | 2.82 | 1.99–3.98 | <0.0001 | 2.63 | 1.71–4.04 | <0.001 |
| Following-up news on COVID-19 at least once a week (yes vs no) | 16 | 0.41 | 0.28–0.59 | <0.0001 | 1.21 | 0.71–2.08 | 0.480 |
| General opinion about COVID-19 vaccine safety | |||||||
| Safe (reference) | 9 | 1 | <0.0001 | 1 | <0.001 | ||
| Unsafe | 38 | 6.54 | 4.80–8.91 | 6.79 | 4.50–10.26 | ||
| Unsure | 23 | 3.25 | 2.26–4.66 | 2.78 | 1.88–4.09 | ||
| Attitude towards vaccination in general | |||||||
| Supportive (reference) | 12 | 1 | <0.0001 | 1 | <0.001 | ||
| Unsupportive | 48 | 6.94 | 5.00–9.64 | 4.24 | 2.77–6.49 | ||
| Unsure | 46 | 6.23 | 3.22–12.07 | 5.12 | 1.98–13.23 | ||
| Trust in information on vaccines delivered by doctor (yes vs no) | 15 | 0.14 | 0.09–0.21 | <0.0001 | 0.28 | 0.16–0.48 | <0.001 |
| Trust in government’s actions to control the epidemic (yes vs no) | 9 | 0.27 | 0.20–0.36 | <0.0001 | 0.50 | 0.34–0.74 | 0.001 |
| Political party affiliation | |||||||
| Far-Left | 22 | 2.21 | 1.22–4.03 | <0.0001 | 1.12 | 0.52–2.38 | 0.043 |
| Left | 13 | 1.15 | 0.68–1.95 | 0.70 | 0.37–1.32 | ||
| Green | 23 | 2.34 | 1.25–4.39 | 0.89 | 0.41–1.93 | ||
| Center (reference) | 11 | 1 | 1 | ||||
| Right | 11 | 0.96 | 0.58–1.60 | 0.40 | 0.21–0.76 | ||
| Far-Right | 32 | 3.75 | 2.37–5.94 | 1.02 | 0.55–1.88 | ||
| Other | 25 | 2.72 | 0.92–8.03 | 0.79 | 0.16–3.81 | ||
| Neither | 20 | 2.06 | 1.35–3.14 | 0.66 | 0.38–1.14 | ||
First reason for vaccination among vaccinated participants and those willing to get the vaccine
| Vaccinated participants (1612) | Participants declaring they “Will certainly get the vaccine” (100) | Participants declaring they “Will probably get the vaccine” (97) | ||||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| To protect myself | 869 | 54 | 43 | 43 | 40 | 42 |
| To protect my family and friends | 282 | 18 | 23 | 22 | 22 | 23 |
| To protect the most vulnerable | 98 | 6 | 7 | 7 | 4 | 4 |
| To resume a “normal” life as soon as possible | 282 | 18 | 19 | 19 | 20 | 20 |
| To get the country out of an economic crisis | 67 | 4 | 9 | 9 | 3 | 3 |
| Other | 15 | <1 | 1 | <1 | 8 | 8 |
First reason for non-vaccination among participants not willing to get the vaccine
| Participants not willing to get the vaccine (132) | Participants declaring they “Will certainly not get the vaccine” (66) | Participants declaring they “Will probably not get the vaccine” (66) | ||||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| I am against vaccination in general | 17 | 13 | 15 | 22 | 2 | 4 |
| A vaccine developed in a hurry is too dangerous | 88 | 67 | 42 | 64 | 46 | 70 |
| It is useless after all, COVID-19 is not very dangerous | 4 | 3 | 4 | 6 | 1 | 1 |
| It is too difficult to get a vaccination appointment | 2 | 1 | 1 | 2 | 1 | 1 |
| Other | 21 | 2 | 4 | 7 | 16 | 25 |