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Table 1 Characteristics of study respondents by the willingness and uptake of COVID-19 testing

From: Willingness and uptake of the COVID-19 testing and vaccination in urban China during the low-risk period: a cross-sectional study

Characteristics Total (%) Uptake of COVID-19 testing Willingness of COVID-19 testing
Tested/scheduled (%) Not tested/scheduled (%) Willing (%) Unwilling (%)
Total 2244 (100) 1177 (52.45) 1067 (47.55) 2146 (95.63) 98 (4.37)
City   P < 0.001   P < 0.001  
 Nanjing 1091 (48.62) 626 (57.38) 465 (42.62) 1024 (93.86) 67 (6.14)
 Chizhou 1153 (51.38) 551 (47.79) 602 (52.21) 1122 (97.31) 31 (2.69)
Gender   P = 0.638   P = 0.152  
 Male 700 (31.19) 362 (51.71) 338 (48.29) 663 (94.71) 37 (5.29)
 Female 1544 (68.81) 815 (52.78) 729 (47.22) 1483 (96.05) 61 (3.95)
Age (years)   P = 0.099   P = 0.199  
 18–25 218 (9.71) 119 (54.59) 99 (45.41) 208 (95.41) 10 (4.59)
 26–35 1043 (46.48) 519 (49.76) 524 (50.24) 998 (95.69) 45 (4.31)
 36–45 567 (25.27) 317 (55.91) 250 (44.09) 549 (96.83) 18 (3.17)
  >  = 46 416 (18.54) 222 (53.37) 194 (46.63) 391 (93.99) 25 (6.01)
Residency   P = 0.309   P = 0.003  
 Local residents 1945 (86.68) 1012 (52.03) 933 (47.97) 1870 (96.14) 75 (3.86)
 Migrants 299 (13.32) 165 (55.18) 134 (44.82) 276 (92.31) 23 (7.69)
Marital status   P = 0.044   P = 0.352  
 Single 283 (12.61) 168 (59.36) 115 (40.64) 266 (93.99) 17 (6.01)
 Married 1911 (85.16) 984 (51.49) 927 (48.51) 1832 (95.87) 79 (4.13)
 Divorced/widow 50 (2.23) 25 (50) 25 (50) 48 (96) 2 (4)
Educational attainment   P < 0.001   P = 0.343  
 Middle school or lower 341 (15.20) 131 (38.42) 210 (61.58) 329 (96.48) 12 (3.52)
 High school or technical secondary school 402 (17.91) 163 (40.55) 239 (59.45) 378 (94.03) 24 (5.97)
 Junior college 558 (24.87) 289 (51.79) 269 (48.21) 536 (96.06) 22 (3.94)
 Bachelor's degree or higher 943 (42.02) 594 (62.99) 349 (37.01) 903 (95.76) 40 (4.24)
Occupation   P < 0.001   P = 0.001  
 Government agency 774 (34.49) 582 (75.19) 192 (24.81) 758 (97.93) 16 (2.07)
 Service industry 580 (25.85) 273 (47.07) 307 (52.93) 547 (94.31) 33 (5.69)
 Manufacturing industry or agriculture 302 (13.46) 102 (33.77) 200 (66.23) 290 (96.03) 12 (3.97)
 Others 588 (26.20) 220 (37.41) 368 (62.59) 551 (93.71) 37 (6.29)
Annual individual income   P = 0.001   P = 0.821  
  < 20 k 244 (10.87) 107 (43.85) 137 (56.15) 230 (94.26) 14 (5.74)
 20-50 k 373 (16.62) 181 (48.53) 192 (51.47) 359 (96.25) 14 (3.75)
 50-100 k 701 (31.24) 359 (51.21) 342 (48.79) 672 (95.86) 29 (4.14)
 100-200 k 606 (27.01) 339 (55.94) 267 (44.06) 579 (95.54) 27 (4.46)
  > 200 k 320 (14.26) 191 (59.69) 129 (40.31) 306 (95.63) 14 (4.38)
Self-reported health status   P = 0.382   P = 0.232  
 Good 2025 (90.24) 1056 (52.15) 969 (47.85) 1940 (95.80) 85 (4.20)
 Poor 219 (9.76) 121 (55.25) 98 (44.75) 206 (94.06) 13 (5.94)
Awareness of COVID-19   P = 0.014   P < 0.001  
 High 2082 (92.78) 1107 (53.17) 975 (46.83) 2007 (96.40) 75 (3.60)
 Low 162 (7.22) 70 (43.21) 92 (56.79) 139 (85.80) 23 (14.20)
Perceived susceptibility of COVID-19   P < 0.001   P = 0.157  
 High 146 (6.51) 116 (79.45) 30 (20.55) 143 (97.95) 3 (2.05)
 Low 2098 (93.49) 1061 (50.57) 1037 (49.43) 2003 (95.47) 95 (4.53)
Perceived severity of COVID-19   P = 0.034   P = 0.696  
 Severe or moderate 424 (18.89) 242 (57.08) 182 (42.92) 404 (95.28) 20 (4.72)
 Mild 1820 (81.11) 935 (51.37) 885 (48.63) 1742 (95.71) 78 (4.29)