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©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 1 Demographic characteristics of the two patient groups, n (%)
| Factors | n | PSD group (n = 96) | NPSD group (n = 104) | χ2 | P value |
| Gender | 0.329 | 0.566 | |||
| Male | 142 | 70 (72.92) | 72 (69.23) | ||
| Female | 58 | 26 (27.08) | 32 (30.77) | ||
| Age (years) | 5.592 | 0.018 | |||
| < 60 | 109 | 44 (45.83) | 65 (62.50) | ||
| ≥ 60 | 91 | 52 (54.17) | 39 (37.50) | ||
| Marital status | 6.586 | 0.010 | |||
| Married | 159 | 69 (71.88) | 90 (86.54) | ||
| Divorced/widowed | 41 | 27 (28.13) | 14 (13.46) | ||
| Education level | 9.944 | 0.002 | |||
| Below senior high school | 106 | 62 (64.58) | 44 (42.31) | ||
| Senior high school or above | 94 | 34 (35.42) | 60 (57.69) |
Table 2 Clinicopathological data of the two patient groups, n (%)
| Factors | n | PSD group (n = 96) | NPSD group (n = 104) | χ2 | P value |
| Number of comorbid conditions | 11.836 | 0.003 | |||
| 0 | 35 | 23 (23.96) | 12 (11.54) | ||
| 1 | 108 | 40 (41.67) | 68 (65.38) | ||
| ≥ 2 | 57 | 33 (34.38) | 24 (23.08) | ||
| Severity of neurological impairment | 8.144 | 0.017 | |||
| Mild | 40 | 12 (12.50) | 28 (26.92) | ||
| Moderate | 123 | 61 (66.67) | 62 (59.62) | ||
| Severe | 37 | 23 (23.96) | 14 (13.46) | ||
| Lesion location | 0.131 | 0.936 | |||
| Frontal lobe | 90 | 44 (45.83) | 46 (44.23) | ||
| Temporal lobe | 65 | 30 (31.25) | 35 (33.65) | ||
| Basal ganglia | 45 | 22 (22.92) | 23 (22.12) | ||
| Number of lesions | 5.998 | 0.014 | |||
| Single | 78 | 29 (30.21) | 49 (47.12) | ||
| Multiple | 122 | 67 (69.79) | 55 (52.88) |
Table 3 Blood biochemical indicators of the two patient groups
| Factors | n | PSD group (n = 96) | NPSD group (n = 104) | t value | P value |
| MPV (fL) | 200 | 9.86 ± 1.27 | 9.58 ± 1.49 | 1.424 | 0.156 |
| Lymphocyte count (109/L) | 200 | 1.58 ± 0.50 | 1.62 ± 0.53 | 0.548 | 0.584 |
| Monocyte count (109/L) | 200 | 0.40 ± 0.13 | 0.42 ± 0.14 | 1.044 | 0.298 |
| Neutrophil count (109/L) | 200 | 4.31 ± 0.54 | 4.06 ± 1.20 | 1.873 | 0.063 |
| NLR | 200 | 2.62 ± 0.83 | 2.03 ± 0.88 | 4.868 | < 0.001 |
| PLR | 200 | 152.77 ± 31.30 | 130.68 ± 29.22 | 5.162 | < 0.001 |
| LMR | 200 | 4.14 ± 1.08 | 4.16 ± 1.18 | 0.125 | 0.901 |
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 |
Table 5 Binary logistic regression analysis of risk factors for post-stroke depression
| Factors | β | SE | Wald | P value | Exp (β) | 95%CI |
| Age (years) | -1.023 | 0.686 | 2.223 | 0.136 | 0.359 | 0.094-1.380 |
| Marital status | 0.796 | 0.500 | 2.531 | 0.112 | 2.216 | 0.831-5.906 |
| Education level | 1.718 | 0.862 | 3.969 | 0.046 | 5.574 | 1.028-30.214 |
| Number of comorbid conditions | 0.105 | 0.276 | 0.145 | 0.703 | 1.111 | 0.647-1.907 |
| Severity of neurological impairment | 0.460 | 0.284 | 2.617 | 0.106 | 1.584 | 0.907-2.766 |
| Number of lesions | 0.169 | 0.694 | 0.059 | 0.808 | 1.184 | 0.304-4.615 |
| NLR | 0.780 | 0.207 | 14.175 | < 0.001 | 2.181 | 1.453-3.274 |
| PLR | 0.027 | 0.006 | 19.528 | < 0.001 | 1.028 | 1.015-1.040 |
- 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
