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Table 3 Impact of sociodemographic factors on perceived stress ( N = 488)

From: Impacting factors and sources of perceived stress by home-quarantined residents in Shanghai during COVID-19 epidemic

Sociodemographic factors

Subsamples N1

High stress (≥43 scores)

N2

% (N2/N1)

Χ2

P

Employment status

   

24.47

<0.01

 Unemployment

184

104

56.52

  

 Employment

263

91

34.60

  

 Retired

41

12

29.27

  

Age (years)

   

17.77

<0.01

 ≤29

221

116

52.49

  

 30-49

187

65

34.76

  

 ≥50

80

25

31.25

  

Gender

   

8.51

<0.01

 Male

192

97

50.52

  

 Female

296

110

37.16

  

Marital status

   

9.13

<0.01

 Married

244

87

35.65

  

 Single

244

120

49.18

  

Income per month (RMB)

   

16.08

<0.01

 ≤1999

157

86

54.78

  

 2000-4999

84

33

39.29

  

 5000-9999

103

41

39.81

  

 ≥10000

144

47

32.64

  

Education level

   

1.07

>0.05

 High school or below

83

31

37.35

  

 Undergraduate

211

91

43.13

  

 Postgraduate

194

85

43.81

  

Occupation

   

8.56

>0.05

 Engineer or technique

52

24

46.15

  

 Business or IT

98

43

43.88

  

 Medicine or education

209

99

47.37

  

 Administer

26

9

34.62

  

 Agriculture or forestry

103

32

31.07

  

Location of residence

   

1.96

>0.05

 High risk area

243

97

39.92

  

 Medium risk area

142

67

47.18

  

 Low risk area

103

43

41.75

  

Nucleic acid test

   

0.001

>0.05

 Positive

14

6

42.86

  

 Negative

474

201

42.41

  

COVID-19 knowledge

   

2.39

>0.05

 No or little

274

110

40.15

  

 Some

172

75

43.60

  

 Very knowledgeable

42

22

52.38

  

Vaccinated

   

0.25

>0.05

 Yes

459

196

42.70

  

 Not yet

29

11

37.93

  

Quarantine (days)

   

7.19

>0.05

 ≤9

20

12

0.60

  

 10-19

49

27

55.10

  

 20-29

201

77

38.31

  

 ≥30

218

91

41.70