Paôla de Oliveira Souza, José Maria Parente de Oliveira, Letícia Helena Januário
{"title":"臂脂肪对血压间接测量的影响:统计学和机器学习方法。","authors":"Paôla de Oliveira Souza, José Maria Parente de Oliveira, Letícia Helena Januário","doi":"10.36660/abc.20220484","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>To identify the influence of arm fat on the indirect measurement of blood pressure using statistical inference and machine learning models.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":8399,"journal":{"name":"Arquivos Brasileiros de Cardiologia","volume":"120 5","pages":"e20220484"},"PeriodicalIF":2.0000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348388/pdf/","citationCount":"1","resultStr":"{\"title\":\"Influence of Arm Fat on the Indirect Measurement of Blood Pressure: A Statistical and Machine Learning Approach.\",\"authors\":\"Paôla de Oliveira Souza, José Maria Parente de Oliveira, Letícia Helena Januário\",\"doi\":\"10.36660/abc.20220484\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>To identify the influence of arm fat on the indirect measurement of blood pressure using statistical inference and machine learning models.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":8399,\"journal\":{\"name\":\"Arquivos Brasileiros de Cardiologia\",\"volume\":\"120 5\",\"pages\":\"e20220484\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348388/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arquivos Brasileiros de Cardiologia\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.36660/abc.20220484\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arquivos Brasileiros de Cardiologia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.36660/abc.20220484","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Influence of Arm Fat on the Indirect Measurement of Blood Pressure: A Statistical and Machine Learning Approach.
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.
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.
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