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Original Article

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

Paôla de Oliveira Souza et al. José Maria Parente de Oliveira Letícia Helena Januário

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.

  • Arm
  • Arterial Pressure
  • Cluster Analysis
  • Regression Analysis
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Creative Commons Attribution (CC BY) Creative Commons license
15/05/2023 DOI: 10.36660/abc.20220484 Views 2

How to cite this article

EndNote RIS

Electronic Document Format (Vancouver)

Souza PO, Oliveira JMP, Januário LH. Influence of Arm Fat on the Indirect Measurement of Blood Pressure: A Statistical and Machine Learning Approach. Arquivos Brasileiros de Cardiologia 2023;120(5):e20220484.

Electronic Document Format (ABNT)

Souza, Paôla de Oliveira; Oliveira, José Maria Parente de; Januário, Letícia Helena. Influence of Arm Fat on the Indirect Measurement of Blood Pressure: A Statistical and Machine Learning Approach. Arquivos Brasileiros de Cardiologia, v. 120, n. 5, e20220484, May. 2023.

Electronic Document Format (APA)

Souza, P. O., Oliveira, J. M. P. , & Januário, L. H. (2023). Influence of Arm Fat on the Indirect Measurement of Blood Pressure: A Statistical and Machine Learning Approach. Arquivos Brasileiros de Cardiologia, 120(5), e20220484.

Electronic Document Format (ISO)

Souza, Paôla de Oliveira and Oliveira, José Maria Parente de and Januário, Letícia Helena. Influence of Arm Fat on the Indirect Measurement of Blood Pressure: A Statistical and Machine Learning Approach. Arquivos Brasileiros de Cardiologia [online]. 2023, vol. 120, n. 5, [cited 2026-10-14], e20220484. Available from: <https://journals.cardiol.br/en/article/influence-of-arm-fat-on-the-indirect-measurement-of-blood-pressure-a-statistical-and-machine-learning-approach/>. ISSN 0066-782X

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