Influence of Arm Fat on the Indirect Measurement of Blood Pressure: A Statistical and Machine Learning Approach.

IF 2 4区医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS

Arquivos Brasileiros de Cardiologia Pub Date : 2023-05-15 eCollection Date: 2023-01-01 DOI:10.36660/abc.20220484

Paôla de Oliveira Souza, José Maria Parente de Oliveira, Letícia Helena Januário

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引用次数: 1

Abstract

Background: The indirect measurement of blood pressure (BP) is known to be influenced by many factors such as the technique, observer, and equipment; however, the influence of arm composition has not been investigated yet.

Objective: To identify the influence of arm fat on the indirect measurement of blood pressure using statistical inference and machine learning models.

Methods: Cross-sectional study, with 489 healthy young adults aged from 18 to 29 years old. Measurements of arm length (AL), arm circumference (AC) and arm fat index (AFI) were taken. BP was measured in both arms simultaneously. Data were processed using Python 3.0 and its specific packages for descriptive analysis, regression and cluster analysis. Significance levels: 5% for all calculations.

Results: BP and anthropometric measurements were different between the hemi-bodies. In the right arm, systolic blood pressure (SBP), AL and AFI were higher, while AC was similar compared with the left arm. AL and AC showed positive correlation with SBP. According to the regression model, for a fixed value of AC and AL, SBP readings could be reduced by a mean of 1.80 mmHg in the right arm, and 1.62 mmHg in the left arm for every 10% increase in AFI. Clustering analysis corroborated the regression results.

Conclusion: There was a significant influence of AFI on BP readings. SBP had a positive correlation with AL and AC, and a negative correlation with AFI, suggesting the need for further investigations on the relationship between BP and percentages of arm muscle and fat.

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臂脂肪对血压间接测量的影响:统计学和机器学习方法。

背景：众所周知，血压的间接测量受到许多因素的影响，如技术、观察者和设备；然而，臂组成的影响尚未得到研究。目的：利用统计推断和机器学习模型，确定手臂脂肪对间接测量血压的影响。方法：对489名18～29岁的健康青年进行横断面研究。测量臂长（AL）、臂围（AC）和臂脂肪指数（AFI）。同时测量双臂的血压。数据使用Python 3.0及其特定包进行处理，用于描述性分析、回归和聚类分析。显著性水平：所有计算均为5%。结果：不同半身的血压和人体测量结果不同。与左臂相比，右臂的收缩压（SBP）、AL和AFI较高，而AC相似。AL和AC与SBP呈正相关。根据回归模型，对于AC和AL的固定值，心房颤动每增加10%，右臂的收缩压读数平均可减少1.80 mmHg，左臂的收缩压平均可减少1.62 mmHg。聚类分析证实了回归结果。结论：AFI对血压读数有显著影响。SBP与AL和AC呈正相关，与AFI呈负相关，这表明需要进一步研究BP与手臂肌肉和脂肪百分比之间的关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Arquivos Brasileiros de Cardiologia 医学-心血管系统

CiteScore

3.70

自引率

30.80%

发文量

234

审稿时长

3-8 weeks

期刊介绍： With more than 70 years of existence, Arquivos Brasileiros de Cardiologia is the main channel for the dissemination of Brazilian scientific research on cardiovascular sciences. Published in two languages and indexed in major international databases, all scientific contributions are peer-reviewed and reviewed by editorial board members selected among the most reputable researchers in Brazil and abroad. The manuscripts are reviewed according to their relevance and originality, scientific accuracy and level of importance for the advancement of science. With an average time of nine months between the initial submission and the effective publication of the manuscripts, and less than seven months until they are published on PubMed, Arquivos Brasileiros de Cardiologia can ensure the quick inclusion of the researchers’ papers in the international literature.