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Table 1 Demographic characteristics of the study participants, August 2022

From: Public acceptance of COVID-19 control measures and associated factors during Omicron-dominant period in China: a cross-sectional survey

Possible Variables

Total

Participants

(n = 1391) (%)

Public Acceptance

Univariate logistic regression analysis

High

(n = 572) (%)

Low

(n = 819) (%)

P-Value 1

Odds Ratio (OR) and

95% Confidence Interval (95% CI)

P-Value 2

Sex

   

0.485

 

0.485

Male

560 (40.3)

224 (39.2)

336 (41.0)

 

1.081 (0.869, 1.344)

 

Female

831 (59.7)

348 (60.8)

483 (59.0)

 

Reference

 

Age (years), median (interquartile range)

34.01 (25.06, 42.28)

35.56 (25.70, 42.84)

32.61 (24.91, 42.05)

0.036 *

-

-

Age category (years)

   

0.039 a*

 

0.042 *

< 18

8 (0.6)

2 (0.4)

6 (0.7)

 

2.328 (0.451, 12.013)

 

18–29

559 (40.2)

206 (36.0)

353 (43.1)

 

1.330 (0.891, 1.986)

 

30–49

705 (50.7)

312 (54.5)

393 (48.0)

 

0.978 (0.661, 1.446)

 

≥ 50

119 (8.5)

52 (9.1)

67 (8.2)

 

Reference

 

Residency

   

< 0.001 ***

 

< 0.001 ***

Rural

193 (13.9)

106 (18.5)

87 (10.6)

 

0.523 (0.389, 0.702)

 

Urban

1198 (86.1)

466 (81.5)

732 (89.4)

 

Reference

 

Educational qualification

   

< 0.001 ***

 

< 0.001 ***

High school or below

207 (14.9)

121 (21.2)

86 (10.5)

 

0.337 (0.261, 0.436)

 

Universities and colleges

692 (49.7)

298 (52.1)

394 (48.1)

 

0.622 (0.522, 0.741)

 

Master degree or above

492 (35.4)

153 (26.7)

339 (41.4)

 

Reference

 

Underlying diseases

   

0.954

 

0.731

No

1276 (91.7)

525 (91.8)

751 (91.7)

 

Reference

 

Yes

115 (8.3)

47 (8.2)

68 (8.3)

 

0.952 (0.719, 1.260)

 

Occupation

   

0.005 **

 

0.005 **

Public sector

610 (43.9)

237 (41.4)

373 (45.5)

 

1.180 (0.655, 2.127)

 

Private sector

338 (24.3)

146 (25.6)

192 (23.5)

 

0.986 (0.538, 1.807)

 

Self-employed or businessman

126 (9.0)

70 (12.2)

56 (6.8)

 

0.600 (0.308, 1.168)

 

Students

268 (19.3)

98 (17.1)

170 (20.8)

 

1.301 (0.701, 2.414)

 

Unemployed or retired

49 (3.5)

21 (3.7)

28 (3.4)

 

Reference

 

Household per capita monthly income (yuan)

   

0.003 **

 

< 0.001 ***

< 5000

388 (27.9)

177 (30.9)

211 (25.8)

 

0.703 (0.548, 0.902)

 

5000–11,999

539 (38.7)

236 (41.3)

303 (37.0)

 

0.715 (0.567, 0.901)

 

12,000–20,000

242 (17.4)

81 (14.2)

161 (19.7)

 

1.102 (0.838, 1.448)

 

> 20,000

222 (16.0)

78 (13.6)

144 (17.6)

 

Reference

 

History of a lockdown area

   

0.063

 

0.004 **

No

1236 (88.9)

519 (90.7)

717 (87.5)

 

Reference

 

Yes

155 (11.1)

53 (9.3)

102 (12.5)

 

1.461 (1.127, 1.894)

 

History of a controlled area

   

0.155

 

0.025 *

No

1050 (75.5)

443 (77.4)

607 (74.1)

 

Reference

 

Yes

341 (24.5)

129 (22.6)

212 (25.9)

 

1.236 (1.028, 1.487)

 

History of SARS-CoV-2 infection

   

0.148 a

 

0.999

No

1387 (99.7)

572 (100.0)

815 (99.5)

 

Reference

 

Yes

4 (0.3)

0 (0.0)

4 (0.5)

 

0.000

 
  1. Note: P-values comparing different groups were from t-test, chi-squared test and univariate logistic regression analysis. a Fisher’s exact test. 1 Significance difference: P < 0.05. 2 Significance difference of univariate logistic regression analysis: P < 0.1. * P < 0.05. ** P < 0.01. *** P < 0.001. The “-” indicated no data