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运用聚类分析识别代谢综合征患者的代谢综合征成分和身体适应性。

Using Cluster Analysis to Identify Metabolic Syndrome Components and Physical Fitness in Patients with Metabolic Syndrome.

机构信息

Department of Physiotherapy and Rehabilitation, Graduate Education Institute, Biruni University, Istanbul, Turkey.

Department Physiotherapy Program, Vocational School Therapy and Rehabilitation, Istanbul Galata University, Istanbul, Turkey.

出版信息

Metab Syndr Relat Disord. 2024 Sep;22(7):558-565. doi: 10.1089/met.2024.0041. Epub 2024 May 9.

Abstract

Metabolic syndrome (MetS) comprises a cluster of cardiovascular risk factors. Physical inactivity and reduced physical fitness are associated with one or more components of MetS. However, MetS has many components, and the unclear relationship between the components and physical fitness parameters can provide a plain and straightforward understanding of the clustering method. To identify the relationship between physical fitness parameters, physical activity levels, and components of MetS using hierarchical cluster analysis. One hundred twenty-one patients (mean age = 51.4 ± 7.1/years, F:90, M:31) who were diagnosed as having MetS according to the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) criteria were included in the study. Fasting plasma glucose (FPG), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG) were analyzed. Systolic and diastolic blood pressures, (SBP and DBP), were evaluated. Body composition (waist and hip circumference, (WC and HC), waist-to-hip ratio (WHR), body mass index (BMI), percent body fat, and visceral fat), upper and lower extremity muscle strength (dynamometer), and functional exercise capacity [6-minute walk test (6MWT)] were assessed as physical fitness parameters. Physical activity levels were assessed using a pedometer and number of steps (NS) was determined. Of the patients, 45.5% were diagnosed as having MetS based on four components. The dendrogram consisted of two main clusters and four subclusters. The main cluster I composed of BMI, HC, WC, visceral fat, HDL-C, percent fat, SBP, DBP, and percent quadriceps. The main cluster II comprised FPG, TG, WHR, handgrip strength, 6MWT, and NS. MetS components clustered with different physical fitness parameters. The clusters in the dendrogram can provide substantial implications for heterogeneous MetS components and physical fitness parameters. Future studies are needed to elucidate the effectiveness of dendrogram-derived exercise programs in MetS.

摘要

代谢综合征(MetS)包含一组心血管危险因素。身体活动不足和身体活动能力下降与 MetS 的一个或多个成分有关。然而,MetS 有许多成分,不清楚这些成分与身体活动能力参数之间的关系,可以提供对聚类方法的简单明了的理解。

使用层次聚类分析确定身体活动能力参数、身体活动水平与 MetS 成分之间的关系。

根据国家胆固醇教育计划-成人治疗小组 III(NCEP-ATP III)标准,将 121 名被诊断为 MetS 的患者(平均年龄= 51.4±7.1/岁,F:90,M:31)纳入研究。分析空腹血糖(FPG)、高密度脂蛋白胆固醇(HDL-C)和甘油三酯(TG)。评估收缩压和舒张压(SBP 和 DBP)。评估身体成分(腰围和臀围,(WC 和 HC),腰臀比(WHR),体重指数(BMI),体脂百分比和内脏脂肪)、上下肢肌肉力量(测力计)和功能性运动能力[6 分钟步行试验(6MWT)]作为身体活动能力参数。使用计步器评估身体活动水平,并确定步数(NS)。

在这些患者中,45.5%的患者根据四个成分被诊断为 MetS。树状图由两个主要聚类和四个子聚类组成。主要聚类 I 由 BMI、HC、WC、内脏脂肪、HDL-C、体脂百分比、SBP、DBP 和股四头肌百分比组成。主要聚类 II 由 FPG、TG、WHR、握力、6MWT 和 NS 组成。MetS 成分与不同的身体活动能力参数聚类。树状图中的聚类可以为 MetS 成分和身体活动能力参数的异质性提供重要意义。需要进一步的研究来阐明基于树状图的运动方案对 MetS 的有效性。

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