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Table 1 Demographics of Respondents of Rural Primary and Middle School Students in Southern China

From: Generalized anxiety disorder among rural primary and middle school students during the outbreak of COVID-19: a multicenter study in three southern Chinese cities

Variables, n (%)

Overall (n = 1179)

Shantou, Guangdong

370 (31.38)

Hezhou, Guangxi

398 (33.76)

Nanchong, Sichuan

411 (34.86)

χ2 / F

p

Age (Years)

12.83 ± 1.27

13.46 ± 1.19

12.76 ± 1.17

12.33 ± 1.21

88.77a

< 0.001

Gender

    

8.17b

0.017

Male

559(47.41)

167(29.87)

174(31.13)

218(39.00)

  

Female

620(52.59)

203(32.74)

224(36.13)

193(31.13)

  

Study stage

    

9.19b

0.010

Primary school

641(54.37)

201(31.36)

195(30.42)

245(38.22)

  

Secondary school

538(45.63)

169(31.41)

203(37.73)

166(30.86)

  

Father’s education level

    

7.20c

0.027

Under junior high school

674 (57.17)

186(27.6)

237(35.16)

251(37.24)

  

Senior school

172 (14.59)

71(41.28)

41(23.84)

60(34.88)

  

Undergraduate

30 (2.54)

16(53.34)

7(23.33)

7(23.33)

  

Master degree or above

303 (25.70)

97(32.01)

113(37.30)

93(30.69)

  

Mother’s education level

    

1.57c

0.456

Under junior high school

691 (58.61)

205(29.67)

235(34.01)

251(36.32)

  

Senior school

132 (11.20)

52(39.40)

36(27.27)

44(33.33)

  

Undergraduate

24 (2.03)

14(58.33)

3(12.50)

7(29.17)

  

Master degree or above

332 (28.16)

99(29.82)

124(37.35)

109(32.83)

  

Father’s occupation

    

152.02b

< 0.001

Health worker

46 (3.90)

25(54.35)

10(21.74)

11(23.91)

  

Non-medical institute staff

185 (15.69)

88(47.57)

43(23.24)

54(29.19)

  

Business and service practitioner

408 (34.61)

51(12.50)

209(51.23)

148(36.27)

  

Migrant worker and farmers

196 (16.62)

61(31.12)

44(22.45)

91(46.43)

  

Other

344 (29.18)

145(42.15)

92(26.74)

107(31.1)

  

Mother’s occupation

    

128.44b

< 0.001

Health worker

46 (3.90)

20(43.48)

14(30.43)

12(26.09)

  

Non-medical institute staff

181 (15.35)

82(45.30)

48(26.52)

51(28.18)

  

Business and service practitioner

380 (32.23)

44(11.58)

195(51.32)

141(37.10)

  

Migrant worker and farmers

262 (22.22)

99(37.78)

69*26.34)

94(35.88)

  

Other

310 (26.30)

125(40.32)

72(23.23)

113(36.45)

  

Whether lives with parents

    

265.44b

< 0.001

Father only

86 (7.30)

8(9.30)

46(53.49)

32(37.21)

  

Mother only

127 (10.77)

21(16.53)

32(25.20)

74(58.27)

  

Both parents

725 (61.49)

316(43.59)

269(37.10)

140(19.31)

  

Neither

241 (20.44)

25(10.37)

51(21.16)

165(68.47)

  

Low-income family

    

41.51b

< 0.001

Yes

146 (12.38)

20(13.70)

75(51.37)

51(34.93)

  

No

551 (46.74)

165(29.95)

176(31.94)

210(38.11)

  

Unknown

482 (40.88)

185(38.38)

147(30.50)

150(31.12)

  
  1. Note.a ANOVA for differences by city
  2. b Chi-square test for differences by city
  3. c Kruskal-Wallis H test for differences by city