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Table 3 Predictors of excessive daytime sleepiness in bivariable and multivariable logistic regression among Medical and Health Science students of UoG, northwest Ethiopia, 2019 (n = 383)

From: Excessive daytime sleepiness and its predictors among medical and health science students of University of Gondar, Northwest Ethiopia: institution-based cross-sectional study

Variables

Excessive daytime sleepiness

Bivariable LR

Multivariable LR

 

No (%)

Yes (%)

COR (95% UI)

AOR (95% UI)

Cigarette Smoking

No

253 (70.47)

106 (29.53)

Ref

Ref

Yes

11 (45.83)

13 (54.17)

2.82 (1.22–6.50)

1.89 (0.78–4.57)

Age in year c

  

1.11 (0.99–1.25)

1.00 (0.88–1.15)

Year of study

1st

111 (75)

37 (25)

Ref

Ref

≥2nd

153 (65.11)

82 (34.89)

1.61 (1.02–2.54)

1.61 (0.97–2.67)

Night sleep behavior disorders

No

159 (77.18)

47 (22.82)

Ref

Ref

Yes

105 (59.32)

72 (40.68)

2.32 (1.49–3.61)

1.83 (1.14–2.96)*

Depression

No

188 (75.20)

62 (24.80)

Ref

Ref

Yes

76 (57.14)

57 (42.86)

2.27 (1.45–3.56)

1.84 (1.13–3.00)*

Stress

No

55 (76.39)

17 (23.61)

Ref

Ref

Yes

209 (67.20)

102 (32.80)

1.58 (0.87–2.86)

1.18 (0.63–2.21)

  1. *Significant at p < 0.05, C = continuous variable, COR = Crude odds ratio, AOR = Adjusted odds ratio, UI = Uncertainty interval, Hosmer and Lemshow goodness of fit (Prob > chi2 = 0.4151)