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Table 3 Multivariate multinomial logistic regression analysis with different daytime sleepiness group

From: Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study

Variables (baseline)

Categories

aOR (95% CI) §

Wald F(p)

Moderate Daytime

Sleepiness group

(n = 120)

Severe Daytime

Sleepiness group

(n = 35)

Occupational-related factors

 Break time

 

.99 (.99–1.00)

1.00 (.99–1.01)

3.79 (.052)

 Driving fatigue

 

1.08 (1.04–1.13)

1.17 (1.09–1.25)

12.91 (<.001)

Health-related factors

 Depression

 

.91 (.83–.99)

.98 (.85–1.12)

4.97 (.026)

 Subjective sleep quality

 

1.18 (1.05–1.31)

1.02 (.84–1.23)

8.47 (.004)

 Physical health

 

1.00 (.96–1.04)

1.01 (.94–1.07)

<.01 (.970)

 Mental health

 

.99 (.95–1.03)

.97 (.92–1.04)

.41 (.521)

Driving-related factors

 Traffic Accident Risk Index

 

1.06 (.99–1.13)

1.06 (.96–1.18)

2.63 (.105)

 Each dangerous driving activity

    

  Item 1 Forced driving

 

.83 (.62–1.10)

.88 (.51–1.52)

1.74 (.187)

  Item 2 Fastened safety belt

 

1.11 (.84–1.48)

1.07 (.67–1.73)

.56 (.455)

  Item 3 Over speed limit

 

1.43 (1.01–2.03)

2.25 (1.27–3.98)

3.98 (.046)

  Item 4 Cell phone use while driving

 

1.16 (.79–1.71)

1.65 (.89–3.06)

.58 (.447)

 Experiences of traffic accident (ref. No)

Yes

.63 (.34–1.15)

.61 (.23–1.64)

2.26 (.133)

 Experiences of near miss accident (ref. No)

Yes

.93 (.49–1.77)

.58 (.21–1.63)

.05 (.829)

  Nagelkerke R2

 

.351 (<.001)

 
  1. §Logistic regression with complex sample was conducted with no daytime sleepiness group as a referent