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基于逻辑回归模型的青少年高血压风险预测研究

黄紫橙 张庆莉 李旋 颜红宇 康逸希 李小林 黄华

井冈山大学学报(自然科学版)2026,Vol.47Issue(3):58-66,9.
井冈山大学学报(自然科学版)2026,Vol.47Issue(3):58-66,9.DOI:10.3969/j.issn.1674-8085.2026.03.008

基于逻辑回归模型的青少年高血压风险预测研究

Study on risk prediction of adolescent hypertension based on logistic regression model

黄紫橙 1张庆莉 1李旋 2颜红宇 3康逸希 2李小林 2黄华1

作者信息

  • 1. 新疆农业大学数理学院,新疆,乌鲁木齐 830052
  • 2. 井冈山大学基础医学院,江西,吉安 343009
  • 3. 井冈山大学医务所,江西,吉安 343009
  • 折叠

摘要

Abstract

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.

关键词

青少年/高血压/高血压前期/体检指标

Key words

adolescents/hypertension/prehypertension/physical examination indicators

分类

生物科学

引用本文复制引用

黄紫橙,张庆莉,李旋,颜红宇,康逸希,李小林,黄华..基于逻辑回归模型的青少年高血压风险预测研究[J].井冈山大学学报(自然科学版),2026,47(3):58-66,9.

基金项目

国家自然科学基金项目(82460085,61367001) (82460085,61367001)

新疆维吾尔自治区科技创新团队(天山创新团队)(2022TSYCTD0011) (天山创新团队)

井冈山大学学报(自然科学版)

1674-8085

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