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©The Author(s) 2025.
World J Clin Oncol. Apr 24, 2025; 16(4): 102208
Published online Apr 24, 2025. doi: 10.5306/wjco.v16.i4.102208
Published online Apr 24, 2025. doi: 10.5306/wjco.v16.i4.102208
Table 2 Multivariable logistic regression analysis
Predictor | OR | 95%CI | SE | P value | |
Tumor grade | I | 0.12 | 0.000-1.083 | 2.297 | 0.044a |
II | 0.782 | 0.018-34.662 | 1.934 | 0.048a | |
Patient’s monthly income, RMB yuan | ≥ 3000 but < 5000 | 0.003 | 0.000-0.176 | 2.029 | 0.005b |
≥ 5000 | 0.018 | 0.000-0.958 | 2.038 | 0.048a | |
Pain score | 6.350 | 1.388-29.063 | 0.776 | 0.017a | |
Level of physical activities | Active | < 0.001 | 0.000-2.359 | 4.374 | 0.028a |
Suitable | 0.051 | 0.003-0.822 | 1.422 | 0.036a | |
Family support level | Medium level | 0.345 | 0.005-24.676 | 2.179 | 0.625 |
High level | 0.005 | 0.000-0.481 | 2.381 | 0.023a |
- Citation: Mao Y, Shi RX, Gao LM, Xu AY, Li JN, Wang B, Wu JY. Construction of a nomogram-based risk prediction model for depressive symptoms in middle-aged and young breast cancer patients. World J Clin Oncol 2025; 16(4): 102208
- URL: https://www.wjgnet.com/2218-4333/full/v16/i4/102208.htm
- DOI: https://dx.doi.org/10.5306/wjco.v16.i4.102208