Abstract:[Objective] To explore the factors affecting spinal development in children with spastic cerebral palsy. [Methods] A total of92 patients with spastic cerebral palsy admitted to our hospital were included into this study to observe the spinal development. Univariatecomparison and multiple regression analysis were used to search the factors related to spinal development. [Results] Among 92 children, 55(59.8%) were sagittal balance, whereas the remaining 37 (40.2%) were found sagittal spinal imbalance. Regarding to univariate comparison,the imbalance group proved significantly greater than the balance group in terms of deviation of sagittal vertical axis (SVA) [(8.2±2.5) cm vs(2.6±1.5) cm, P<0.001] and lateral displacement of femoral head (migration percentage, MP) [(41.8±17.3)% vs (38.3±19.3)%, P<0.001], whilethe incidence of epilepsy in the unbalanced group was significantly lower than that in the balanced group [case (%), 0 (0.0) vs 6 (10.9), P=0.038]. There were no significant differences in age, sex, gestational age, birth weight, walking time, number of paralyzed limbs, GMFCSscore, weight, height, BMI and AI between the two groups (P>0.05). As consequence of paired correlation analysis, the absolute value of SVAwas significantly positively correlated to sex (r=0.231, P=0.027), strabismus (r=0.209, P=0.045), GMFCS scale (r=0.239, P=0.022), MP value(r=0.226, P=0.030), AI value (r=0.217, P=0.038). In addition, multiple linear regression analysis showed that GMFCS scale, gender and AIvalue were factors related to absolute value of SVA (P<0.05), with a regression equation of Y=-57.715+12.314GMFCS scale +29.204 gender+1.965AI. [Conclusion] As findings of this study, the GMFCS scale, AI value, MP value, sex and strabismus impact spinal development ofchildren with spastic cerebral palsy, and GMFCS grade, sex and AI value might comprehensively predict spinal SVA value of cerebral palsy.