Multivariate logistic regression analysis and preventive health measures for children with type 1 diabetes / 公共卫生与预防医学

ABSTRACT

Objective To study and analyze the risk factors in children with type 1 diabetes and formulate preventive health measures. Methods A total of 112 children with type 1 diabetes treated in our hospital from January 2017 to October 2019 were selected as the type 1 diabetes group, and 50 healthy children who underwent physical examination during the same period were selected as the control group. Multifactor logistic regression analysis was used to analyze predisposing factors of type 1 diabetes in children, and preventive health measures was proposed. Results The results of multivariate logistic regression analysis indicated that maternal age, passive smoking during pregnancy, milk feeding time, and children's respiratory infections were independent risk factors for children with type 1 diabetes (OR 6404, 6.903, 6.417, 8.256, P <0.05). Conclusion Maternal age, passive smoking during pregnancy, milk addition time, and children's respiratory infections were independent risk factors for children with type 1 diabetes. Strengthening health education, breastfeeding as soon as possible, and preventing respiratory infections can help reduce the incidence of children with type 1 diabetes.