OBJECTIVE: To study the risk factors related to spastic type of cerebral palsy through a screening program. METHODS: With a 1:2 matched case-control study design, 145 cases were selected from the Cerebral Palsy Treatment and Management Center in Heilongjiang Province from Dec., 2007 through May 2009. Another 290 cases of children as control group were chosen from the First Affiliated Hospital of Jiamusi University, in the same period. Controls were excluded the central nervous system diseases, matching with cases at the age differences no more than 3 months, with same sex and ethnicity. Questionnaire survey was used to access relevant information, while logistic regression analysis was used to screen the risk factors. RESULTS: Data from Single factor logistic regression analysis notified 39 items as statistically significant factors. Through multivariate logistic regression analysis, 11 factors in all the cerebral palsy cases, and incidence of cerebral palsy risk factors related to low or high birth weight were discovered as follows: mother with college degree, newborns with high muscle tone, skin color as purple, taking antipyretic analgesics drugs during pregnancy, experience significant events during pregnancy, situation of environment pollution around the house, having intracranial hemorrhage and birth asphyxia, fetal distress during pregnancy or neonatal stage etc. CONCLUSION: Pre/Neonatal factors were closely related to cerebral palsy, suggesting that health care knowledge be popularized and related management be strengthened, to reduce the cerebral palsy incidence in the newborns.
OBJECTIVE: To study the risk factors related to spastic type of cerebral palsy through a screening program. METHODS: With a 1:2 matched case-control study design, 145 cases were selected from the Cerebral Palsy Treatment and Management Center in Heilongjiang Province from Dec., 2007 through May 2009. Another 290 cases of children as control group were chosen from the First Affiliated Hospital of Jiamusi University, in the same period. Controls were excluded the central nervous system diseases, matching with cases at the age differences no more than 3 months, with same sex and ethnicity. Questionnaire survey was used to access relevant information, while logistic regression analysis was used to screen the risk factors. RESULTS: Data from Single factor logistic regression analysis notified 39 items as statistically significant factors. Through multivariate logistic regression analysis, 11 factors in all the cerebral palsy cases, and incidence of cerebral palsy risk factors related to low or high birth weight were discovered as follows: mother with college degree, newborns with high muscle tone, skin color as purple, taking antipyretic analgesics drugs during pregnancy, experience significant events during pregnancy, situation of environment pollution around the house, having intracranial hemorrhage and birth asphyxia, fetal distress during pregnancy or neonatal stage etc. CONCLUSION: Pre/Neonatal factors were closely related to cerebral palsy, suggesting that health care knowledge be popularized and related management be strengthened, to reduce the cerebral palsy incidence in the newborns.