Table 1.
Descriptive statistics of study respondents by intention to get the COVID-19 vaccination (N = 543).
| Variables | Total N = 543 (%) |
COVID-19 Vaccine Acceptance | χ2 | p Value | |
|---|---|---|---|---|---|
| Intended (n = 460) (%) | Undecided/Unwilling (n = 83) (%) | ||||
| Sociodemographic characteristics | |||||
| Gender | 0.264 | 0.607 | |||
| Male | 210 (38.67) | 180 (39.13) | 30 (36.14) | ||
| Female | 333 (61.33) | 280 (60.87) | 53 (63.86) | ||
| Age | 24.29 (±3.67) | 24.14 (±2.92) | 25.13 (±6.35) | 36.494 | 0.019 |
| Education | 2.670 | 0.263 | |||
| Less than college education | 42 (7.73) | 32 (6.96) | 10 (12.05) | ||
| Bachelor’s degree | 272 (50.09) | 231 (50.21) | 41 (49.40) | ||
| Beyond Bachelor’s degree | 229 (42.17) | 197 (42.83) | 32 (38.55) | ||
| Administrative division | 4.680 | 0.699 | |||
| Barishal | 26 (4.79) | 24 (5.22) | 2 (2.41) | ||
| Chittagong | 35 (6.45) | 29 (6.30) | 6 (7.23) | ||
| Dhaka | 134 (24.68) | 111 (24.13) | 23 (27.71) | ||
| Khulna | 285 (52.49) | 243 (52.83) | 42 (50.60) | ||
| Mymensingh | 8 (1.47) | 8 (1.74) | 0 (0.00) | ||
| Rajshahi | 27 (4.97) | 21 (4.57) | 6 (7.23) | ||
| Rangpur | 25 (4.60) | 21 (4.57) | 4 (4.82) | ||
| Sylhet | 3 (0.55) | 3 (0.65) | 0 (0.00) | ||
| Place of residence | 0.547 | 0.460 | |||
| Urban | 353 (65.01) | 302 (65.65) | 51 (61.45) | ||
| Rural | 190 (34.99) | 158 (34.35) | 32 (38.55) | ||
| Living status | 2.955 | 0.228 | |||
| With family members | 420 (77.35) | 360 (78.26) | 60 (72.29) | ||
| With non-family members | 84 (15.47) | 66 (14.35) | 18 (21.69) | ||
| Alone | 39 (7.18) | 34 (7.39) | 5 (6.02) | ||
| Occupation | 9.969 | 0.044 | |||
| Unemployed | 84 (15.46) | 64 (13.91) | 20 (24.10) | ||
| Student | 375 (69.06) | 328 (71.30) | 47 (56.62) | ||
| Public sector | 7 (1.29) | 7 (1.52) | 0 (0.00) | ||
| Private sector | 39 (1.18) | 31 (6.74) | 8 (9.64) | ||
| Self-employed | 38 (7.00) | 30 (6.52) | 8 (9.64) | ||
| Healthcare worker | 1.697 | 0.428 | |||
| No | 499 (91.90) | 421 (91.52) | 78 (93.98) | ||
| Healthcare student | 35 (6.45) | 30 (6.52) | 5 (6.02) | ||
| Healthcare professional | 9 (1.66) | 9 (1.96) | 0 (0.00) | ||
| Health related characteristics | |||||
| Tested positive for COVID-19 | 0.553 | 0.457 | |||
| No | 269 (49.54) | 231 (50.52) | 38 (45.78) | ||
| Yes | 274 (50.46) | 229 (49.78) | 45 (54.22) | ||
| BMI | 8.244 | 0.041 | |||
| Underweight | 49 (9.02) | 45 (9.78) | 4 (4.82) | ||
| Normal weight | 370 (68.14) | 310 (67.39) | 60 (72.29) | ||
| Overweight | 88 (16.21) | 79 (17.17) | 9 (10.84) | ||
| Obesity | 36 (6.63) | 26 (5.65) | 10 (12.05) | ||
| Long-standing illness(es) | 0.006 | 0.938 | |||
| No | 290 (53.41) | 246 (53.48) | 44 (53.01) | ||
| Yes | 253 (46.59) | 214 (46.52) | 39 (46.99) | ||
| Hypertension | 2.484 | 0.115 | |||
| No | 516 (95.03) | 440 (96.65) | 76 (91.57) | ||
| Yes | 27 (4.97) | 20 (4.35) | 7 (8.43) | ||
| Overweight | 0.048 | 0.826 | |||
| No | 487 (89.69) | 412 (89.57) | 75 (90.36) | ||
| Yes | 56 (10.31) | 48 (10.43) | 8 (9.64) | ||
| Smoking | 4.363 | 0.037 | |||
| No | 415 (76.42) | 359 (78.04) | 56 (67.46) | ||
| Yes | 128 (23.58) | 101 (21.96) | 27 (32.54) | ||
| Childhood vaccination(s) | 5.426 | 0.020 | |||
| No | 17 (3.13) | 11 (2.39) | 6 (7.23) | ||
| Yes | 526 (96.87) | 449 (97.61) | 77 (92.77) | ||
| Seasonal influenza vaccination | 1.355 | 0.852 | |||
| Never | 140 (25.78) | 122 (26.52) | 18 (21.69) | ||
| Last year | 5 (0.92) | 4 (0.87) | 1 (1.20) | ||
| Current flu season | 2 (0.37) | 2 (0.43) | 0 (0.00) | ||
| Annually | 11 (2.03) | 9 (1.6) | 2 (2.41) | ||
| Can’t remember | 385 (70.90) | 323 (70.22) | 62 (74.70) | ||
COVID-19: Coronavirus disease 2019; BMI: Body mass index; p values were calculated using the Kruskal–Wallis test/chi-square test.