Table 1. Participant background characteristics.
Variables (n = 4,474)* | Number | % |
---|---|---|
(n = 4,474) | ||
Sex | ||
Male | 1,825 | 40.8 |
Female | 2,649 | 59.2 |
Age (years) Mean ± SD | 32.48 ± 10.76 | |
Marital status | ||
Single | 1,804 | 44.4 |
Married | 2,058 | 50.7 |
Divorced | 139 | 3.4 |
Widowed | 60 | 1.5 |
Educational status | ||
Pre-university | 323 | 7.2 |
Technical/ vocational education | 129 | 2.9 |
University degree | 2,243 | 50.3 |
Postgraduate degree | 1,502 | 33.7 |
Other | 266 | 6.0 |
Have a chronic disease | 773 | 17.3 |
Be a health care professional | 1,789 | 40.0 |
Previously infected with COVID-19 | 1,025 | 27.9 |
Relative infected with COVID-19 | 1,915 | 47.5 |
Relative died from COVID-19 | 1,390 | 33.6 |
Received the influenza vaccine | 104 | 26.1 |
Know the different COVID-19 vaccines | 3510 | 78.5 |
The best COVID-19 vaccine (n = 330)* | ||
Moderna | 24 | 7.3 |
Pfizer- BioNTech | 194 | 58.8 |
Oxford-AstraZeneca | 52 | 15.8 |
Sinopharm | 51 | 15.5 |
Sputnik V | 9 | 2.7 |
Infected with COVID-19 after vaccination | 71 | 21.5 |
Know the COVID-19 vaccine instructions | 184 | 55.8 |
Conducted internet search on COVID-19 vaccine | 199 | 60.3 |
Got COVID-19 vaccine as it is free | 207 | 62.7 |
*Counts and percentages are presented for the actual number of responders to each variable