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 |