Table 4.

The simple linear regression of survey variable son PB/WB

	PB		WB
Survey variables	B	P	B	P
Sex
Women	1.84	0.11	1.80	0.08
Men	1.00		1.00
Age	−0.25	< 0.0001	−0.31	< 0.0001
Education degree
Master’s degree or above	0.08	0.946	−2.21	0.034
University or below university degree	1.00		1.00
Marriage state
Married	−1.06	0.240	−4.30	< 0.0001
Unmarried	1.00		1.00
Parenthood
Yes	−1.06	0.243	−4.86	< 0.0001
No	1.00		1.00
Weekly exercise habit
Yes	−6.30	< 0.0001	−5.60	< 0.0001
No	1.00		1.00
Monthly alcohol use habit
alcohol use ever	3.81	< 0.0001	3.50	< 0.0001
alcohol use never	1.00		1.00
Sleeping duration
< 6 h	8.13	< 0.0001	6.27	< 0.0001
> 6 h	1.00		1.00
Overtime work per month
Experience overtime	9.67	< 0.0001	8.88	< 0.0001
Seldom overtime	1.00		1.00
Shift schedules
Irregular shift work	8.47	< 0.0001	8.87	< 0.0001
Regular shift work	5.20	0.0002	6.23	< 0.0001
Night shift work	2.08	0.161	3.24	0.015
Day shift work	1.00
Profession
Physicians	10.60	< 0.0001	9.89	< 0.0001
Nurses	9.07	< 0.0001	8.44	< 0.0001
PTs	2.50	0.049	2.17	0.057
ADs	1.00
Suffering CD
Yes	4.69	< 0.0001	3.47	< 0.0001
No	1.00		1.00
Engaging in leisure activities with family or friends
LAFF score	−0.12	< 0.0001	−0.14	< 0.0001
MS pain
NBSP	8.25	< 0.0001	6.32	< 0.0001
BAP	1.46	0.006	1.42	0.003
Commuting time (minutes)
> 50	1.89	0.295	−0.96	0.554
40–50	−2.43	0.235	−3.55	0.054
30–40	−2.21	0.192	−3.88	0.011
20–30	−1.46	0.296	−3.44	0.006
10–20	−2.74	0.027	−2.52	0.024
5–10	1.00	-	1.00	-
The most used commuter transportation
Private vehicle or Motorcycle	0.16	0.792	1.06	0.045
Public transportation system	0.06	0.937	0.55	0.397

N, individuals, B, linear regression coefficient, P, p value; PT, professional and technical personnel; AD, administrative staff; CD, chronic diseases