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Table 3 Relationship between long working hours and the self-rated health of workforce among different age stages and education levels

From: Impact of long working hours on health based on observations in China

 

Below junior college

Tertiary and above

Male

Female

Long working hours

0.0167

− 0.294***

−0.156**

− 0.0394

 

(0.709)

(0.000)

(0.022)

(0.325)

Gender

0.158***

0.132**

—

—

 

(0.000)

(0.013)

—

—

Age

−0.0236***

− 0.0329***

− 0.0223***

− 0.0273***

 

(0.000)

(0.000)

(0.000)

(0.000)

Income

0.00865**

−0.00458

0.0126**

0.00459

 

(0.019)

(0.578)

(0.047)

(0.272)

Level of education

  

−0.0347

−0.00783

   

(0.265)

(0.698)

Marital status

0.0544

0.0789

0.0108

0.0522

 

(0.252)

(0.175)

(0.864)

(0.221)

Smoking

−0.107

−0.245*

− 0.0980

− 0.361**

 

(0.140)

(0.054)

(0.133)

(0.041)

Drinking

0.0893

0.235**

0.167**

0.0202

 

(0.136)

(0.047)

(0.011)

(0.841)

Exercise Frequency

0.0164***

0.0564***

0.0312***

0.0222***

 

(0.002)

(0.000)

(0.001)

(0.000)

Medical Insurance

−0.0925

0.0942

0.101

−0.0705

 

(0.228)

(0.306)

(0.316)

(0.265)

Year

YES

YES

YES

YES

Province

YES

YES

YES

YES

Observations Observations

4722

2250

2053

4919

Log likelihood

− 6889.171

− 2976.8187

− 3117.2115

− 6990.6308

  1. Notes: p value in parentheses; * p < 0.1, ** p < 0.05 and *** p < 0.01.