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心理行为和体育锻炼对血管老化的风险预测模型

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目的 运用列线图和结构方程模型构建心理行为和体育锻炼对血管老化的多因素风险预测模型.方法 横断面选取2021年10月至2023年3月于青岛大学附属医院住院和查体并行颈动脉超声检查的被试701例,按照7∶3比例随机分为训练队列(n=492)和验证队列(n=209),采集被试心理行为因素、生活方式、人口学以及伴发疾病等资料.采用SPSS 25.0中的多因素二元Logistic回归分析筛查血管老化的独立影响因素,运用R 4.2.2软件构建血管老化的列线图预测模型并使用ROC曲线、校准图和决策曲线分析法对列线图进行评估,运用AMOS软件构建血管老化的结构方程模型.结果 多因素二元Logistic回归分析显示,A型行为[B=1.757,OR(95%CI)=5.790(2.750~12.210),P<0.001]、体育锻炼[B=-3.019,OR(95%CI)=0.050(0.020~0.100),P<0.001]、高脂饮食[B=0.679,OR(95%CI)=1.970(1.350~2.880),P<0.001]、睡眠质量[B=-1.451,OR(95%CI)=0.230(0.120~0.460),P<0.001]、饮茶习惯[B=-2.349,OR(95%CI)=0.100(0.050~0.200),P<0.001]、年龄[B=0.061,OR(95%CI)=1.060(1.020~1.110),P=0.005]、性别[B=-1.263,OR(95%CI)=0.280(0.140~0.570),P<0.001]、高脂血症[B=0.679,OR(95%CI)=1.970(1.350~2.880),P<0.001]、糖尿病[B=0.838,OR(95%CI)=2.310(1.140~4.700),P=0.021]是血管老化的独立影响因素.列线图模型显示A型行为、体育锻炼、高脂饮食、睡眠质量、饮茶习惯、年龄、性别、高脂血症、糖尿病是血管老化的独立影响因素.高龄、A型行为、高脂血症、糖尿病、高脂饮食是血管老化的危险因素;睡眠质量好、饮茶习惯、体育锻炼是血管老化的保护因素;男性比女性更容易发生血管老化.结构方程模型显示,A型行为对血管老化有最强直接正向效应(效应系数=0.197,P<o.01),体育锻炼对血管老化有最强直接负向效应(效应系数=-0.452,P<0.01),二者可通过多种因素间接影响血管老化.结论 列线图模型显示了血管老化的独立影响因素并具有一定的预测价值;结构方程模型显示心理行为和生活方式等多因素可以直接或间接影响血管老化的发生,其中A型行为、体育锻炼作用更加广泛.
Risk prediction model for vascular aging based on psychological behavior and physical exercise
Objective To establish a multi-factor prediction model for vascular aging based on psy-chological behavior and physical exercise using nomogram and structural equation method.Methods A to-tal of 701 inpatients or physical examination patients who underwent carotid ultrasound examination in the Af-filiated Hospital of Qingdao University from October 2021 to March 2023 were selected by cross-sectional method.The subjects were randomly divided into training queue(n-492)and verification queue(n=209)according to the ratio of 7:3.The psychological and behavioral factors,lifestyle,demography and accompan-ying diseases data were collected.Multi-factor binary Logistic regression method in SPSS 25.0 software was used to screen independent influencing factors of vascular aging,R 4.2.2 software was used to build a nomo-gram prediction model of vascular aging,and the ROC curve,calibration chart and decision curve analysis were used to evaluate the nomogram,and AMOS software was used to build a structural equation model of vascular aging.Results Multivariate Logistic regression analysis showed that type A behavior(B=1.757,OR(95%CI)=5.790(2.750-12.210),P<0.001),physical exercise(B=-3.019,OR(95%CI)=0.050(0.020-0.100),P<0.001),high-fat diet(B=0.679,OR(95%CI)=1.970(1.350-2.880),P<0.001),sleep quality(B=-1.451,OR(95%CI)=0.230(0.120-0.460),P<0.001),tea drinking habits(B=-2.349,OR(95%CI)=0.100(0.050-0.200),P<0.001),age(B=0.061,OR(95%CI)=1.060(1.020-1.110),P=0.005),sex(B=-1.263,OR(95%CI)=0.280(0.140-0.570),P<0.001),hyperlipidemia(B=0.679,OR(95%CI)=1.970(1.350-2.880),P<0.001)and diabetes(B=0.838,OR(95%CI)=2.310(1.140-4.700),P=0.021)were independent influencing factors of vascular aging.The nomogram model showed that type A behavior,physical exercise,high-fat diet,sleep quality,tea drinking habits,age,sex,hyperlipidemia and diabetes were independent influencing factors of vascular aging.Advanced age,type A behavior,hyperlipidemia,diabetes and the score of high-fat diet were risk factors for vascular aging,while better sleep quality,tea drinking habit and the score of physical exercise were protective factors for vascular aging.Men were more prone to vascular aging than women.Structural equation model showed that type A be-havior had the strongest direct positive effect on vascular aging(the effect coefficient=0.197,P<0.01),and physical exercise had the strongest direct negative effect on vascular aging(the effect coefficient=-0.452,P<0.01),which could indirectly affect vascular aging through various factors.Conclusions The nomogram model shows the independent influencing factors of vascular aging and has certain predictive value.Structural equation model shows that many factors such as psychological behavior and lifestyle can directly or indirectly affect the occurrence of vascular aging,among which type A behavior and physical exercise have more exten-sive effects.

Vascular agingType A behavior patternPhysical exerciseMultifactorPrediction model

王超、玄金虎、陈静姣、贾秀娟、苏慧、郭宗君

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青岛大学附属医院老年医学科,青岛 266000

青岛大学数学与统计学院,青岛 266000

血管老化 A型行为 体育锻炼 多因素 预测模型

国家老年临床医学研究中心基金项目山东老年医学会基金项目青岛社会科学规划基金项目青岛科技局基金项目青岛市老年医学学会基金项目

NCRGC-PLAGH-2023009LKJGG2021Z013QDSKL220137615-9-2-74-nshQGS2023Z011

2024

中华行为医学与脑科学杂志
中华医学会 济宁医学院

中华行为医学与脑科学杂志

CSTPCD北大核心
影响因子:1.472
ISSN:1674-6554
年,卷(期):2024.33(8)
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