Table 5.

The multiple linear regression of commuting time or commuter transportation effect on personal and work-related burnout

	PB						WB
	M1		M2		M3		M1		M2		M3
Survey variables	B	P	B	P	B	P	B	P	B	P	B	P
Commuting time
> 50	4.21	0.015	3.39	0.035	4.24	0.015	1.82	0.242	1.22	0.406	1.85	0.233
40–50	−0.37	0.848	−1.12	0.947	−0.55	0.776	−0.97	0.575	−0.80	0.627	−1.15	1.73
30–40	1.38	0.384	1.47	0.316	1.30	0.410	0.03	0.981	0.12	0.930	−0.04	0.978
20–30	1.78	0.175	2.02	0.097	1.78	0.176	0.11	0.928	0.37	0.744	0.09	0.938
10–20	−0.41	0.720	−0.34	0.745	−0.48	0.672	−0.33	0.749	−0.30	0.755	−0.40	0.699
5–10	1.00	-	1.00	-	1.00	-	1.00	-	1.00	-	1.00	-
The most used commuter transportation
Private vehicle or Motorcycle	−0.03	0.965	0.96	0.298	−0.09	0.885	0.32	0.541	0.70	0.162	0.28	0.603
Public transportation system	0.05	0.943	0.17	0.786	−0.09	0.890	0.64	0.289	0.66	0.252	0.50	0.405
MS pain
NBSP	-	-	7.09	< 0.0001	-	-	-	-	5.45	< 0.0001	-	-
BAP	-	-	-	-	1.23	0.011	-	-	-	-	1.24	0.004

B, linear regression coefficient; P, p value; For PB, M₁, the model adjusted commuting time, the most used commuter transportation, age, regular exercise every week, alcohol use habit in a month, sleep duration, overtime work per month, shift schedules, profession, suffering CD, and engaging in leisure activities with family or friends; M₂, M₁ extra adjusted NBSP; M₃, M₁ extra-adjusted BAP. For WB, M₁, the model adjusted commuting time, the most used commuter transportation, age, education degree, marriage state, parenthood, regular exercise every week, alcohol use habit in a month, sleep duration, overtime work per month, shift schedules, profession, suffering CD, and engaging in leisure activities with family or friends; M₂, M₁ extra adjusted NBSP; M₃, M₁ extra-adjusted BAP