基于逻辑回归模型的青少年高血压风险预测研究OA

This study aims to explore the predictive value of physical examination indicators for hypertension risk in adolescents.A total of 27,490 students underwent with physical examination at a university in Jiangxi Province from 2020 to 2024 were recruited in this study.Based on the diagnostic criteria for adolescent hypertension,the participants were stratified into three groups,and the Kruskal-Wallis test was used to analyze the baseline characteristics of each group.To evaluate independent associations,logistic regression was used to explore the relationship between body mass index(BMI),its related indicators and hypertension risk.Restricted cubic splines(RCS)were employed to investigate the dose-response relationship between BMI,its related indicators and hypertension risk.Additionally,receiver operating characteristic(ROC)curve analysis was performed to quantify the predictive ability of each indicator for hypertension and prehypertension.Compared with the normotensive group,the hypertension group had significantly higher median values of BMI,pulse rate,biochemical indicators,and BMI-related parameters(P<0.001).The prehypertension group demonstrated intermediate levels of all measured indices between the normotensive and hypertensive groups.Logistic regression analyses demonstrated that BMI and its related indicators were independent risk factors for adolescent hypertension.RCS analyses confirmed polymorphic non-linear relationships between BMI and adolescent hypertension risk in s(P<0.001).For hypertension and prehypertension,BMI achieved the highest area under the curve(AUC)of 0.71(95%CI=0.68-0.73)and 0.66(95%CI=0.65-0.67),respectively,with corresponding optimal cutoffs of 24.29 and 23.88.BMI demonstrated favorable discriminative ability for both adolescent hypertension and prehypertension,and an inverted"N"-shaped relationship was observed between BMI and hypertension risk.