©The Author(s) 2025.
World J Psychiatry. Nov 19, 2025; 15(11): 108688
Published online Nov 19, 2025. doi: 10.5498/wjp.v15.i11.108688
Published online Nov 19, 2025. doi: 10.5498/wjp.v15.i11.108688
Table 4 Assignment of variables
| Factors | Variable | Assignment |
| Age (years) | X1 | < 60 = 0, ≥ 60 = 1 |
| Marital status | X2 | Married = 0, divorced/widowed = 1 |
| Education level | X3 | Senior high school or above = 0, below senior high school = 1 |
| Number of comorbid conditions | X4 | 0 = 0, 1 = 1, ≥ 2 = 2 |
| Severity of neurological impairment | X5 | Mild = 0, moderate = 1, severe = 2 |
| Number of lesions | X6 | Single = 0, multiple = 1 |
| NLR | X7 | Continuous variable |
| PLR | X8 | Continuous variable |
| Post-stroke depression | Y | No = 0, yes = 1 |
- Citation: Han Z, Zhang DD, Li NN. Influencing factors and construction of a nomogram for post-stroke depression in patients with chronic stroke. World J Psychiatry 2025; 15(11): 108688
- URL: https://www.wjgnet.com/2220-3206/full/v15/i11/108688.htm
- DOI: https://dx.doi.org/10.5498/wjp.v15.i11.108688