Is relative fat mass a better indicator of high blood pressure levels when compared to other anthropometric indexes?

Abstract Background: relative fat mass (RFM) has been proposed recently, and the effectiveness in relation to other anthropometric indexes already consolidated regarding the predictive capacity of high blood pressure levels (HBPL) has not been investigated yet. Objectives: the objective was to analyze the predictive capacity of RFM for HBPL, and to compare it with others indexes. Methods: a cross-sectional study was conducted with 896 individuals. Weight, height, hip, waist circunference (WC), and neck circunference measurements were evaluated, and RFM, body mass index (BMI), body adiposity index, waist/hip ratio, and waist/height ratio were calculated. Systolic (SBP) and diastolic (DBP) blood pressures were measured on one occasion. Descriptive statistics, Pearson's correlation, a logistic regression model, and the analysis of the receiver operating characteristic (ROC) curves were used. Results: HBPL proportion was higher in men (34.68 %, p < 0.01). There was a positive correlation (p < 0.01) between all anthropometric measurements and SBP and DBP. WC in males (OR, 3.66; p < 0.01) and BMI in females (OR, 5.06; p < 0.01) showed the greatest associations with HBPL. There was no statistical difference (p > 0.05) in the area under the curve. Conclusions: the findings of our study suggest that RFM is not the best index for predicting HBPL, although it has shown positive associations.

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Main Authors: Segheto,Wellington, Marins,João Carlos Bouzas, Amorim,Paulo Roberto dos Santos, Franco,Amanda Botelho, Almeida,Marisa Assis, Alvarenga,Nádia Vieira Alves, Lima,Luciana Moreira
Format: Digital revista
Language:English
Published: Grupo Arán 2021
Online Access:http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-16112021000700011
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spelling oai:scielo:S0212-161120210007000112022-02-01Is relative fat mass a better indicator of high blood pressure levels when compared to other anthropometric indexes?Segheto,WellingtonMarins,João Carlos BouzasAmorim,Paulo Roberto dos SantosFranco,Amanda BotelhoAlmeida,Marisa AssisAlvarenga,Nádia Vieira AlvesLima,Luciana Moreira Hypertension Adiposity Anthropometric indicators Abstract Background: relative fat mass (RFM) has been proposed recently, and the effectiveness in relation to other anthropometric indexes already consolidated regarding the predictive capacity of high blood pressure levels (HBPL) has not been investigated yet. Objectives: the objective was to analyze the predictive capacity of RFM for HBPL, and to compare it with others indexes. Methods: a cross-sectional study was conducted with 896 individuals. Weight, height, hip, waist circunference (WC), and neck circunference measurements were evaluated, and RFM, body mass index (BMI), body adiposity index, waist/hip ratio, and waist/height ratio were calculated. Systolic (SBP) and diastolic (DBP) blood pressures were measured on one occasion. Descriptive statistics, Pearson's correlation, a logistic regression model, and the analysis of the receiver operating characteristic (ROC) curves were used. Results: HBPL proportion was higher in men (34.68 %, p < 0.01). There was a positive correlation (p < 0.01) between all anthropometric measurements and SBP and DBP. WC in males (OR, 3.66; p < 0.01) and BMI in females (OR, 5.06; p < 0.01) showed the greatest associations with HBPL. There was no statistical difference (p > 0.05) in the area under the curve. Conclusions: the findings of our study suggest that RFM is not the best index for predicting HBPL, although it has shown positive associations.Grupo AránNutrición Hospitalaria v.38 n.6 20212021-12-01journal articletext/htmlhttp://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-16112021000700011en
institution SCIELO
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country España
countrycode ES
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libraryname SciELO
language English
format Digital
author Segheto,Wellington
Marins,João Carlos Bouzas
Amorim,Paulo Roberto dos Santos
Franco,Amanda Botelho
Almeida,Marisa Assis
Alvarenga,Nádia Vieira Alves
Lima,Luciana Moreira
spellingShingle Segheto,Wellington
Marins,João Carlos Bouzas
Amorim,Paulo Roberto dos Santos
Franco,Amanda Botelho
Almeida,Marisa Assis
Alvarenga,Nádia Vieira Alves
Lima,Luciana Moreira
Is relative fat mass a better indicator of high blood pressure levels when compared to other anthropometric indexes?
author_facet Segheto,Wellington
Marins,João Carlos Bouzas
Amorim,Paulo Roberto dos Santos
Franco,Amanda Botelho
Almeida,Marisa Assis
Alvarenga,Nádia Vieira Alves
Lima,Luciana Moreira
author_sort Segheto,Wellington
title Is relative fat mass a better indicator of high blood pressure levels when compared to other anthropometric indexes?
title_short Is relative fat mass a better indicator of high blood pressure levels when compared to other anthropometric indexes?
title_full Is relative fat mass a better indicator of high blood pressure levels when compared to other anthropometric indexes?
title_fullStr Is relative fat mass a better indicator of high blood pressure levels when compared to other anthropometric indexes?
title_full_unstemmed Is relative fat mass a better indicator of high blood pressure levels when compared to other anthropometric indexes?
title_sort is relative fat mass a better indicator of high blood pressure levels when compared to other anthropometric indexes?
description Abstract Background: relative fat mass (RFM) has been proposed recently, and the effectiveness in relation to other anthropometric indexes already consolidated regarding the predictive capacity of high blood pressure levels (HBPL) has not been investigated yet. Objectives: the objective was to analyze the predictive capacity of RFM for HBPL, and to compare it with others indexes. Methods: a cross-sectional study was conducted with 896 individuals. Weight, height, hip, waist circunference (WC), and neck circunference measurements were evaluated, and RFM, body mass index (BMI), body adiposity index, waist/hip ratio, and waist/height ratio were calculated. Systolic (SBP) and diastolic (DBP) blood pressures were measured on one occasion. Descriptive statistics, Pearson's correlation, a logistic regression model, and the analysis of the receiver operating characteristic (ROC) curves were used. Results: HBPL proportion was higher in men (34.68 %, p < 0.01). There was a positive correlation (p < 0.01) between all anthropometric measurements and SBP and DBP. WC in males (OR, 3.66; p < 0.01) and BMI in females (OR, 5.06; p < 0.01) showed the greatest associations with HBPL. There was no statistical difference (p > 0.05) in the area under the curve. Conclusions: the findings of our study suggest that RFM is not the best index for predicting HBPL, although it has shown positive associations.
publisher Grupo Arán
publishDate 2021
url http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-16112021000700011
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