Table 2.
The impact of AI on the mental health of manufacturing workers: overall and mediating effects.
| Variables | Mental health | Work overtime | Mental health |
|---|---|---|---|
| Model 1 | Model 2 | Model 3 | |
| AI | −1.643** (0.758) | 0.894*** (0.215) | −1.816** (0.774) |
| Work overtime | 0.845 (0.794) | ||
| Gender | −1.312* (0.760) | 0.359* (0.193) | −1.379* (0.762) |
| Age | −0.065 (0.044) | −0.027** (0.011) | −0.060 (0.044) |
| Marital status | −1.760 (1.404) | 0.578* (0.320) | −1.866 (1.422) |
| Hukou status | 0.259 (0.888) | −0.341 (0.228) | 0.322 (0.892) |
| Years of education | −0.073 (0.143) | −0.040 (0.033) | −0.066 (0.143) |
| Physical health | −2.578*** (0.496) | −0.140 (0.118) | −2.553*** (0.495) |
| Employer type | 0.057 (1.284) | −0.272 (0.348) | 0.104 (1.284) |
| Annual income | −0.036 (0.154) | −0.018 (0.033) | −0.032 (0.156) |
| Labor union | 0.659 (0.878) | 0.326 (0.220) | 0.600 (0.878) |
| The number of acquaintances | −1.331* (0.767) | 0.197 (0.192) | −1.368* (0.769) |
| Neighborhood support | −0.011 (0.390) | −0.362*** (0.098) | 0.057 (0.408) |
| Regional characteristics | −0.653 (1.021) | 0.335 (0.242) | −0.714 (1.026) |
| Constant | 26.524*** (4.198) | 1.341 (0.848) | 25.855*** (4.249) |
| Observations | 550 | 550 | 550 |
*
p < 0.1,
**
p < 0.05,
***
p < 0.01.