Table 4 The simple linear regression of survey variable son 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