©The Author(s) 2025.
World J Psychiatry. Dec 19, 2025; 15(12): 112672
Published online Dec 19, 2025. doi: 10.5498/wjp.v15.i12.112672
Published online Dec 19, 2025. doi: 10.5498/wjp.v15.i12.112672
Table 3 Binary logistic regression analysis of different sleep dimensions and depression status (adjusted for total sleep score)
| Variables | B | Standard error | Wald | P value | OR (95%CI) |
| Subjective sleep quality | 0.726 | 0.097 | 56.337 | < 0.001 | 2.066 (1.709-2.497) |
| Sleep onset time | 0.907 | 0.093 | 94.592 | < 0.001 | 2.476 (2.062-2.972) |
| Sleep duration | -0.001 | 0.115 | < 0.001 | 0.993 | 0.999 (0.797-1.253) |
| Sleep efficiency | 0.522 | 0.106 | 24.219 | < 0.001 | 1.686 (1.369-2.076) |
| Sleep disturbance | 0.738 | 0.148 | 24.982 | < 0.001 | 2.092 (1.566-2.795) |
| Daytime dysfunction | 1.217 | 0.081 | 225.585 | < 0.001 | 3.378 (2.882-3.959) |
| Hypnotic drug use | 0.508 | 0.214 | 5.649 | 0.017 | 1.662 (1.093-2.525) |
- Citation: Ding R, Liu XY, Ding Y, Leng MM, Yang LJ, Zhang AH. Correlation analysis between sleep quality and depressive symptoms among rural elderly in China: An observational study. World J Psychiatry 2025; 15(12): 112672
- URL: https://www.wjgnet.com/2220-3206/full/v15/i12/112672.htm
- DOI: https://dx.doi.org/10.5498/wjp.v15.i12.112672