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Table 1 Demographic information, China, 2019

From: A cross-sectional study: comparison of public perceptions of adverse drug reaction reporting and monitoring in eastern and western China

Characteristic

Total

Nanjing

Xi’an

P

n(%)

n(%)

n(%)

Gender

  Male

457(52.59)

241(55.66)

216(49.50)

0.095

  Female

406(46.72)

191(44.11)

215(49.30)

 

  Unfilled

6(0.69)

1(0.23)

5(1.10)

 

Age

  < 18

26(2.99)

21(4.85)

5(1.10)

0.017*

  18–30

515(59.26)

260(60.05)

255(58.50)

 

  31–40

141(16.23)

70(16.17)

71(16.30)

 

  41–50

84(9.67)

38(8.78)

46(10.60)

 

  51–60

49(5.64)

18(4.15)

31(7.10)

 

  61–70

36(4.14)

21(4.85)

15(3.40)

 

  > 70

12(1.38)

5(1.15)

7(1.60)

 

  Unfilled

6(0.69)

0(0.00)

6(1.40)

 

Ethnicity

  Han

850(97.81)

423(97.69)

427(97.90)

0.052

  Other

13(1.50)

10(2.31)

3(0.70)

 

  Unfilled

6(0.69)

0(0.00)

6(1.40)

 

Education level

  None/primary

17(1.96)

8(1.85)

9(2.10)

0.044*

  Junior school

70(8.06)

40(9.24)

30(6.90)

 

  High school

188(21.63)

92(21.25)

96(22.00)

 

  Junior college

188(21.63)

76(17.55)

112(25.70)

 

  Undergraduate college

352(40.51)

192(44.34)

160(36.70)

 

  Master degree/above

49(5.64)

25(5.77)

24(5.50)

 

  Unfilled

5(0.58)

0(0.00)

5(1.10)

 

Annual income level

  Under ¥30,000

382(43.96)

199(45.96)

183(42.00)

0.014*

  ¥30,000-¥60,000

194(22.32)

84(19.40)

110(25.20)

 

  ¥60,000-¥90,000

145(16.69)

65(15.01)

80(18.30)

 

  ¥90,000-¥120,000

72(8.29)

37(8.55)

35(8.00)

 

  ¥120,000-¥150,000

41(4.72)

22(5.08)

19(4.40)

 

  Above ¥150,000

35(4.03)

26(6.00)

9(2.10)

 
  1. *Significant difference with p value < 0.05