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Table 2 Risk Factors for Sleep Disturbance According to Univariate Analysis

From: Risk prediction of sleep disturbance in clinical nurses: a nomogram and artificial neural network model

Variable

Sleep disturbance

Normal sleep

(n = 124)

Sleep disturbance

(n = 180)

χ2/Z

P-value

Sex

  

1.435a

0.231

Male

Female

22(48.9%)

102(39.4%)

23(51.1%)

157(60.6%)

  

Age [years]

  

36.165a

0.000

<30

30–40

>40

83(55.0%)

38(35.5%)

3(6.5%)

68(45.0%)

69(64.5%)

43(93.5%)

  

Education level

  

3.780a

0.151

College degree and below

Undergraduate

Master degree and above

16(29.6%)

93(42.5%)

15(48.4%)

38(70.4%)

126(57.5%)

16(51.6%)

  

Marital status

  

27.278a

0.000

Single

Married

86(55.1%)

38(25.7%)

70(44.9%)

110(74.3%)

  

Fertility

Not giving birth

pregnancy

Have given birth

106(52.2%)

8(22.2%)

10(15.4%)

97(47.8%)

28(77.8%)

55(84.6%)

33.484a

0.000

Chronic diseases

  

65.472a

0.000

None

Yes

103(61.3%)

21(15.4%)

65(38.7%)

115(84.6%)

  

Way of appointment

  

2.168a

0.338

Formally editing

Contract system

other

27(42.2%)

71(38.0%)

26(49.1%)

37(57.8%)

116(62.0%)

27(50.9%)

  

Drink tea or coffe at

  

1.611a

0.204

work

NO

Yes

48(45.7%)

76(38.2%)

57(54.3%)

123(61.8%)

  

Shift work

  

14.272a

0.000

NO

Yes

79(51.3%)

45(30.0%)

75(48.7%)

105(70.0%)

  

Fatigue

  

72.251a

0.000

None

Yes

68(62.2%)

17(12.9%)

65(37.8%)

115(87.1%)

  

Anxiety

  

57.141a

0.000

None

Yes

107(60.9%)

26(18.2%)

63(39.1%)

117(81.8%)

  

Depression

  

57.141a

0.000

None

Yes

98(60.9%)

26(18.2%)

63(39.1%)

117(81.8%)

  

Burnout

  

−4.604b

0.000

Low

Mederate

High

50(53.2%)

49(45.0%)

25(24.8%)

44(46.8%)

60(55.0%)

76(75.2%)

  
  1. Notes: Data are number (%). aChi-square test. bMann-Whitney