Abstract：[Objective] To explore (1) whether cervical function and sagittal parameters affect cervical spondylosis-related depression and (2) whether cervical function and sagittal parameters can be used to predict cervical spondylosis-related depression.[Methods] A total of 121 patients with cervical spondylosis between January 2013 and January 2018 were retrospectively analysed. Patients were assessed with the Chinese classification and diagnostic criteria for mental disorders-3rd edition(CCMD-3) and divided into depression group and non-depression group. General data, cervical sagittal balance parameters, the Visual Analogue Score (VAS) and Neck Disability Index (NDI) scores were compared between the two groups by univariate analysis. Then the binary logistic regression analysis was performed.[Results] There were significant differences in age, VAS, NDI, CL, C7S, NT, T1S, CCI and cervical tilt between the depression group and the non-depression group. The binary logistic regression analysis showed that NDI was the independent risk factor for depression . The classification ability of the model was 72.7%, and the Chi-square test showed that the model was effective (X2=0.498, P=1.000).[Conclusion] Among patients with cervical spondylosis, a large NDI value before treatment was the independent risk factor for depression (P=0.003).