Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents
ABSTRACT Objective To analyze whether the algorithm used for the heart rate variability assessment (fast Fourier transform versus autoregressive methods) influenced its association with cardiovascular risk factors in male adolescents. Methods This cross-sectional study included 1,152 male adolescents (aged 14 to 19 years). The low frequency, high frequency components (absolute numbers and normalized units), low frequency/high frequency ratio, and total power of heart rate variability parameters were obtained using the fast Fourier transform and autoregressive methods, while the adolescents were resting in a supine position. Results All heart rate variability parameters calculated from both methods were different (p<0.05). However, a low effect size (<0.1) was found for all parameters. The intra-class correlation between methods ranged from 0.96 to 0.99, whereas the variation coefficient ranged from 7.4 to 14.8%. Furthermore, waist circumference was negatively associated with high frequency, and positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Systolic blood pressure was negatively associated with total power and high frequency, whereas it was positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Body mass index was negatively associated with high frequency, while it was positively associated with low frequency and sympatovagal balance (p values ranged from <0.001 to 0.007). Conclusion There are significant differences in heart rate variability parameters obtained with the fast Fourier transform and autoregressive methods in male adolescent; however, these differences are not clinically significant.
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2016
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oai:scielo:S1679-450820160002000132016-07-20Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescentsSoares,Antonio Henrique GermanoFarah,Breno QuintellaCucato,Gabriel GrizzoBastos-Filho,Carmelo José AlbanezChristofaro,Diego Giulliano DestroVanderlei,Luiz Carlos MarquesLima,Aluísio Henrique Rodrigues de AndradeRitti-Dias,Raphael Mendes Autonomic nervous system Adolescent Heart rate/physiology Cardiovascular system ABSTRACT Objective To analyze whether the algorithm used for the heart rate variability assessment (fast Fourier transform versus autoregressive methods) influenced its association with cardiovascular risk factors in male adolescents. Methods This cross-sectional study included 1,152 male adolescents (aged 14 to 19 years). The low frequency, high frequency components (absolute numbers and normalized units), low frequency/high frequency ratio, and total power of heart rate variability parameters were obtained using the fast Fourier transform and autoregressive methods, while the adolescents were resting in a supine position. Results All heart rate variability parameters calculated from both methods were different (p<0.05). However, a low effect size (<0.1) was found for all parameters. The intra-class correlation between methods ranged from 0.96 to 0.99, whereas the variation coefficient ranged from 7.4 to 14.8%. Furthermore, waist circumference was negatively associated with high frequency, and positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Systolic blood pressure was negatively associated with total power and high frequency, whereas it was positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Body mass index was negatively associated with high frequency, while it was positively associated with low frequency and sympatovagal balance (p values ranged from <0.001 to 0.007). Conclusion There are significant differences in heart rate variability parameters obtained with the fast Fourier transform and autoregressive methods in male adolescent; however, these differences are not clinically significant.info:eu-repo/semantics/openAccessInstituto Israelita de Ensino e Pesquisa Albert Einsteineinstein (São Paulo) v.14 n.2 20162016-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082016000200013en10.1590/S1679-45082016AO3683 |
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Soares,Antonio Henrique Germano Farah,Breno Quintella Cucato,Gabriel Grizzo Bastos-Filho,Carmelo José Albanez Christofaro,Diego Giulliano Destro Vanderlei,Luiz Carlos Marques Lima,Aluísio Henrique Rodrigues de Andrade Ritti-Dias,Raphael Mendes |
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Soares,Antonio Henrique Germano Farah,Breno Quintella Cucato,Gabriel Grizzo Bastos-Filho,Carmelo José Albanez Christofaro,Diego Giulliano Destro Vanderlei,Luiz Carlos Marques Lima,Aluísio Henrique Rodrigues de Andrade Ritti-Dias,Raphael Mendes Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
author_facet |
Soares,Antonio Henrique Germano Farah,Breno Quintella Cucato,Gabriel Grizzo Bastos-Filho,Carmelo José Albanez Christofaro,Diego Giulliano Destro Vanderlei,Luiz Carlos Marques Lima,Aluísio Henrique Rodrigues de Andrade Ritti-Dias,Raphael Mendes |
author_sort |
Soares,Antonio Henrique Germano |
title |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title_short |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title_full |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title_fullStr |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title_full_unstemmed |
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents |
title_sort |
is the algorithm used to process heart rate variability data clinically relevant? analysis in male adolescents |
description |
ABSTRACT Objective To analyze whether the algorithm used for the heart rate variability assessment (fast Fourier transform versus autoregressive methods) influenced its association with cardiovascular risk factors in male adolescents. Methods This cross-sectional study included 1,152 male adolescents (aged 14 to 19 years). The low frequency, high frequency components (absolute numbers and normalized units), low frequency/high frequency ratio, and total power of heart rate variability parameters were obtained using the fast Fourier transform and autoregressive methods, while the adolescents were resting in a supine position. Results All heart rate variability parameters calculated from both methods were different (p<0.05). However, a low effect size (<0.1) was found for all parameters. The intra-class correlation between methods ranged from 0.96 to 0.99, whereas the variation coefficient ranged from 7.4 to 14.8%. Furthermore, waist circumference was negatively associated with high frequency, and positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Systolic blood pressure was negatively associated with total power and high frequency, whereas it was positively associated with low frequency and sympatovagal balance (p<0.001 for both fast Fourier transform and autoregressive methods in all associations). Body mass index was negatively associated with high frequency, while it was positively associated with low frequency and sympatovagal balance (p values ranged from <0.001 to 0.007). Conclusion There are significant differences in heart rate variability parameters obtained with the fast Fourier transform and autoregressive methods in male adolescent; however, these differences are not clinically significant. |
publisher |
Instituto Israelita de Ensino e Pesquisa Albert Einstein |
publishDate |
2016 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082016000200013 |
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