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Table 2 Differences in the adoption of preventive behaviours among participants with different characteristics, n (%)

From: Preventive behaviours and family inequalities during the COVID-19 pandemic: a cross-sectional study in China

Variables

Total

Outdoor prevention

Indoor prevention

No (%)

No

Yes

No

Yes

Total

4704

1354 (28.8)

3350 (71.2)

3156 (67.1)

1548 (32.9)

Age (years)

 10–20

353 (7.5)

80 (22.7)

273 (77.3)

222 (62.9)

131 (37.1)

 20–39

1925 (40.9)

445 (23.1)

1480 (76.9)

1283 (66.6)

642 (33.4)

 40–59

1577 (33.5)

498 (31.6)

1079 (68.4)

1044 (66.2)

533 (33.8)

 ≥ 60

849 (18)

331 (39.0)

518 (61.0)

607 (71.5)

242 (28.5)

 P-value

 

 < 0.001

0.012

Sex

 Male

2207 (46.9)

690 (31.3)

1517 (68.7)

1490 (67.5)

717 (32.5)

 Female

2497 (53.1)

664 (26.6)

1833 (73.4)

1666 (66.7)

831 (33.3)

 P-value

 

 < 0.001

0.564

Education level

 0–9 years

1493 (31.7)

589 (39.5)

904 (60.5)

1105 (74.0)

388 (26.0)

 10–12 years

855 (18.2)

240 (28.1)

615 (71.9)

554 (64.8)

301 (35.2)

 ≥ 13 years

2356 (50.1)

525 (22.3)

1831 (77.7)

1497 (63.5)

526 (36.5)

 P-value

 

 < 0.001

 < 0.001

Occupation

 No work

1405 (29.9)

441 (31.4)

964 (68.6)

979 (69.7)

426 (30.3)

 Students

1132 (24.1)

250 (22.1)

882 (77.9)

741 (65.5)

391 (34.5)

 Blue-collar

879 (18.7)

348 (39.6)

531 (60.4)

622 (70.8)

257 (29.2)

 White-collar

1288 (27.4)

315 (24.5)

973 (75.5)

814 (63.2)

474 (36.8)

 P-value

 

 < 0.001

 < 0.001

Living place

 Urban

3009 (64.0)

713 (23.7)

2296 (76.3)

1878 (62.4)

1131 (37.6)

 Rural

1695 (36.0)

641 (37.8)

1054 (62.2)

1278 (75.4)

417 (24.6)

 P-value

 

 < 0.001

 < 0.001

Living style

 Living alone

408 (8.7)

118 (28.9)

290 (71.1)

301 (73.8)

107 (26.2)

 Living with others

4296 (91.3)

1236 (28.8)

3060 (71.2)

2855 (66.5)

1441 (33.5)

 P-value

 

0.949

0.003

Number of suspected symptoms

 0

3843 (81.7)

1136 (29.6)

2707 (70.4)

2605 (67.8)

1238 (32.2)

 1

375 (8.0)

102 (27.2)

273 (72.8)

242 (64.5)

133 (35.5)

 2

249 (5.3)

59 (23.7)

190 (76.3)

158 (63.5)

91 (36.5)

 > 2

237 (5.0)

57 (24.1)

180 (75.9)

151 (63.7)

88 (36.3)

 P-value

 

0.062

0.198

Number of informative channels

 0–3

2015 (42.8)

579 (28.7)

1436 (71.3)

1386 (68.8)

629 (31.2)

 4–6

1705 (36.2)

484 (28.4)

1221 (71.6)

1155 (67.7)

550 (32.3)

 7–9

984 (20.9)

291 (29.6)

693 (70.4)

615 (62.5)

369 (37.5)

 P-value

 

0.806

0.002

Motivation for sharing

 None

134 (2.8)

84 (62.7)

50 (37.3)

101 (75.4)

33 (24.6)

 Low

301 (6.4)

134 (44.5)

167 (55.5)

247 (82.1)

54 (17.9)

 Middle

899 (19.1)

333 (37.0)

566 (63.0)

712 (79.2)

187 (20.8)

 High

3370 (71.6)

803 (23.8)

2567 (76.2)

2096 (62.2)

1274 (37.8)

 P-value

 

 < 0.001

 < 0.001

Physical health situation

 Worse

463 (9.8)

137 (29.6)

326 (70.4)

305 (65.9)

158 (34.1)

 Same

4048 (86.1)

1163 (28.7)

2885 (71.3)

2719 (67.2)

1329 (32.8)

 Better

193 (4.1)

54 (28.0)

139 (72.0)

132 (68.4)

61 (31.6)

 P-value

 

0.899

0.791

Current relationship with friends

 Worse

294 (6.3)

76 (25.9)

218 (74.1)

205 (69.7)

89 (30.3)

 Same

4082 (86.8)

1177 (28.8)

2905 (71.2)

2735 (67.0)

1347 (33.0)

 Better

328 (7.0)

101 (30.8)

227 (69.2)

216 (65.9)

112 (34.1)

 P-value

 

0.390

0.558

Community performance

 Poor

170 (3.6)

65 (38.2)

105 (61.8)

133 (78.2)

37 (21.8)

 Neutral

1047 (22.3)

362 (34.6)

685 (65.4)

802 (76.6)

245 (23.4)

 Good

3487 (74.1)

927 (26.6)

2560 (73.4)

2221 (63.7)

1266 (36.3)

 P-value

 

 < 0.001

 < 0.001

Household income

 < CNY 100 000

2040 (43.4)

597 (29.3)

1443 (70.7)

1460 (71.6)

580 (28.4)

 CNY 100 000–300 000

2275 (48.4)

649 (28.5)

1626 (71.5)

1477 (64.9)

798 (35.1)

 > CNY 300 000

389 (8.3)

108 (27.8)

281 (72.2)

219 (56.3)

170 (43.7)

 P-value

 

0.779

 < 0.001

Household size

 1–3

2169 (46.1)

604 (27.8)

1565 (72.2)

1400 (64.5)

769 (35.5)

 4–6

2146 (45.6)

642 (29.9)

1504 (70.1)

1485 (69.2)

661 (30.8)

 > 6

389 (8.3)

108 (27.8)

281 (72.2)

271 (69.7)

118 (30.3)

 P-value

 

0.291

0.003

  1. CNY Chinese Yuan