Logistic regression model construction and ROC curve analysis of influencing factors of Heli-cobacter pylori infection in school-age children
Objective To explore the influencing factors of Helicobacter pylori infection in school-age children,and build and evaluate the prediction model.Methods Clinical data of 1,882 school-age children admitted to our hospital from March 2020 to October 2022 were retrospectively analyzed.They were divided into an infected group(n=378)and a non-infected group(n=1,504)according to the occurrence of Helicobacter pylori infection.The clinical data were compared between the two groups.Multifactor Logistic regression analysis was used to analyze the risk factors of Helicobacter pylori infection in the school-age children.The prediction model was builded,and the working characteristics(ROC)curve of subjects was drawn to analyze the predictive value of the prediction model for Helicobacter pylori infection in school-age children.The effects of Helicobacter pylori infection on the growth and development of school-age children and their nutritional indicators were analyzed.Results Multivariate Logistic regression analysis showed that rural areas,per capita living area＜30 m2,non-independent tableware,habit of chewing fingers,no washing hands before and after meals,brushing teeth and cups for public use,non-independent sleep,guardians with primary school diploma,and caregivers with a history of stomach disease were independent risk factors for Helicobacter pylori infection in these school-age children(P＜0.05).ROC curve analysis showed that when logic(P)＞12.00,area under curve(AUC)was 0.868,the diagnostic sensitivity was 81.33%,and the specificity was 80.52%.The height,body mass index,levels of whole blood hemoglobin and albumin of children in the infected group were lower than those in the non-infected group(P＜0.05).Conclusions Helicobacter pylori infection could affect the nutritional status,growth and development of school-age children.There are many independent risk factors for Helicobacter pylori infection in the school-age children.The predictive value of the regression model constructed for Helicobacter pylori infection in school-age children is high.Targeted prevention and treatment measures can be given clinically based on this model.
School-ageChildrenHelicobacter pyloriInfluencing factorsPrediction model
NETL
NSTL
万方数据
