Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adults
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5935/abc.20180117 http://hdl.handle.net/11449/180130 |
Resumo: | Background: Type 1 diabetes mellitus can cause autonomic changes, which can be assessed by heart rate variability. Among the heart rate variability assessment methods, the symbolic analysis and Shannon entropy, based on the Chaotic dynamics, have gained prominence. Objective: To compare heart rate variability indexes, obtained through symbolic analysis and Shannon entropy, in young adults with type 1 diabetes mellitus and healthy young individuals, associated with the analysis of linear indexes; and to verify if there are associations between the indexes obtained by the symbolic analysis and by Shannon entropy and linear indexes in diabetic individuals. Methods: Heart rate variability data from 39 young adults with type 1 diabetes mellitus and 43 healthy young individuals were analyzed, using a cardio-frequency meter. Linear indexes (standard deviation of all normal RR intervals recorded in a time interval expressed in milliseconds; square root of the mean of the squared differences between adjacent normal RR intervals in a time interval expressed in milliseconds; low and high frequency components in millisecond squared; and normalized units and ratio between low and high frequency components) and nonlinear ones (Shannon entropy and symbolic analysis – standard without variation; with one or two variations; and with two different variations) of the heart rate variability were calculated. The statistical significance was set at 5%, and the confidence interval was 95%. Results: Significantly lower values were observed in the DM1 group compared to healthy young adults for the standard deviation indexes of all normal RR intervals recorded in a time interval [37.30 (29.90) vs. 64.50 (36.20); p = 0.0001], square root of the mean of the squared differences between adjacent normal RR intervals in a time interval [32.73 (17.43) vs. 55.59 (21.60); p = 0.0001], low frequency component [402.00 (531.00) vs. 1,203.00 (1,148.00); p = 0.0001], high frequency component [386.00 (583.00) vs. 963.00 (866.00); p = 0.0001] and the pattern with two different variations [15,33 (9,22) vs. 20.24 (12.73); p = 0.0114], with the effect of this difference being considered large (standard deviation of all normal RR intervals recorded in a time interval, square root of the mean of the squared differences between adjacent normal RR intervals in a time interval and low frequency component), medium (high frequency component) and small (standard with two different variations). The agreement of the associations between the linear and non-linear indexes was considered elevated for the high frequency component index - normalized units (r = –0.776), with the standard index without variation, and moderate for the indexes square root of the mean of the squared differences between adjacent normal RR intervals in a time interval (r = 0.550), standard deviation of all normal RR intervals recorded in a time interval (r = 0.522), high frequency component - normalized units (r = 0.638) with the index standard with two similar variations, as well as for the indexes square root of the mean of the squared differences between adjacent normal RR intervals in a time interval (r = 0.627) and high frequency component - normalized units (r = 0.601) with the index standard with two different variations. Conclusion: Type 1 diabetes mellitus influenced linear indexes and symbolic analysis, but not yet in the complexity of heart rate variability. Additionally, heart rate variability indexes correlated with the symbolic dynamics. |
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Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adultsInfluência do diabetes tipo 1 na análise simbólica e complexidade da variabilidade da frequência cardíaca em jovens adultosAutonomic nervous systemDiabetes mellitus/complicationsDiabetes/diagnosisDiabetes/therapyHeart rateYoung adultBackground: Type 1 diabetes mellitus can cause autonomic changes, which can be assessed by heart rate variability. Among the heart rate variability assessment methods, the symbolic analysis and Shannon entropy, based on the Chaotic dynamics, have gained prominence. Objective: To compare heart rate variability indexes, obtained through symbolic analysis and Shannon entropy, in young adults with type 1 diabetes mellitus and healthy young individuals, associated with the analysis of linear indexes; and to verify if there are associations between the indexes obtained by the symbolic analysis and by Shannon entropy and linear indexes in diabetic individuals. Methods: Heart rate variability data from 39 young adults with type 1 diabetes mellitus and 43 healthy young individuals were analyzed, using a cardio-frequency meter. Linear indexes (standard deviation of all normal RR intervals recorded in a time interval expressed in milliseconds; square root of the mean of the squared differences between adjacent normal RR intervals in a time interval expressed in milliseconds; low and high frequency components in millisecond squared; and normalized units and ratio between low and high frequency components) and nonlinear ones (Shannon entropy and symbolic analysis – standard without variation; with one or two variations; and with two different variations) of the heart rate variability were calculated. The statistical significance was set at 5%, and the confidence interval was 95%. Results: Significantly lower values were observed in the DM1 group compared to healthy young adults for the standard deviation indexes of all normal RR intervals recorded in a time interval [37.30 (29.90) vs. 64.50 (36.20); p = 0.0001], square root of the mean of the squared differences between adjacent normal RR intervals in a time interval [32.73 (17.43) vs. 55.59 (21.60); p = 0.0001], low frequency component [402.00 (531.00) vs. 1,203.00 (1,148.00); p = 0.0001], high frequency component [386.00 (583.00) vs. 963.00 (866.00); p = 0.0001] and the pattern with two different variations [15,33 (9,22) vs. 20.24 (12.73); p = 0.0114], with the effect of this difference being considered large (standard deviation of all normal RR intervals recorded in a time interval, square root of the mean of the squared differences between adjacent normal RR intervals in a time interval and low frequency component), medium (high frequency component) and small (standard with two different variations). The agreement of the associations between the linear and non-linear indexes was considered elevated for the high frequency component index - normalized units (r = –0.776), with the standard index without variation, and moderate for the indexes square root of the mean of the squared differences between adjacent normal RR intervals in a time interval (r = 0.550), standard deviation of all normal RR intervals recorded in a time interval (r = 0.522), high frequency component - normalized units (r = 0.638) with the index standard with two similar variations, as well as for the indexes square root of the mean of the squared differences between adjacent normal RR intervals in a time interval (r = 0.627) and high frequency component - normalized units (r = 0.601) with the index standard with two different variations. Conclusion: Type 1 diabetes mellitus influenced linear indexes and symbolic analysis, but not yet in the complexity of heart rate variability. Additionally, heart rate variability indexes correlated with the symbolic dynamics.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)FAPESP: 2013/19055-0Universidade Estadual Paulista (Unesp)de Oliveira, Elaine Aparecida [UNESP]da Silva, Anne Kastelianne França [UNESP]Christofaro, Diego Giuliano Destro [UNESP]Vanzella, Laís Manata [UNESP]Gomes, Rayana Loch [UNESP]Vanderlei, Franciele Marques [UNESP]Vanderlei, Luiz Carlos Marques [UNESP]2018-12-11T17:38:17Z2018-12-11T17:38:17Z2018-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article94-101application/pdfhttp://dx.doi.org/10.5935/abc.20180117Arquivos Brasileiros de Cardiologia, v. 111, n. 1, p. 94-101, 2018.1678-41700066-782Xhttp://hdl.handle.net/11449/18013010.5935/abc.20180117S0066-782X20180013000942-s2.0-85052322210S0066-782X2018001300094.pdf5860525135106995Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengporArquivos Brasileiros de Cardiologiainfo:eu-repo/semantics/openAccess2024-06-18T18:44:01Zoai:repositorio.unesp.br:11449/180130Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:47:44.504610Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adults Influência do diabetes tipo 1 na análise simbólica e complexidade da variabilidade da frequência cardíaca em jovens adultos |
title |
Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adults |
spellingShingle |
Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adults de Oliveira, Elaine Aparecida [UNESP] Autonomic nervous system Diabetes mellitus/complications Diabetes/diagnosis Diabetes/therapy Heart rate Young adult |
title_short |
Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adults |
title_full |
Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adults |
title_fullStr |
Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adults |
title_full_unstemmed |
Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adults |
title_sort |
Influence of type 1 diabetes on the symbolic analysis and complexity of heart rate variability in young adults |
author |
de Oliveira, Elaine Aparecida [UNESP] |
author_facet |
de Oliveira, Elaine Aparecida [UNESP] da Silva, Anne Kastelianne França [UNESP] Christofaro, Diego Giuliano Destro [UNESP] Vanzella, Laís Manata [UNESP] Gomes, Rayana Loch [UNESP] Vanderlei, Franciele Marques [UNESP] Vanderlei, Luiz Carlos Marques [UNESP] |
author_role |
author |
author2 |
da Silva, Anne Kastelianne França [UNESP] Christofaro, Diego Giuliano Destro [UNESP] Vanzella, Laís Manata [UNESP] Gomes, Rayana Loch [UNESP] Vanderlei, Franciele Marques [UNESP] Vanderlei, Luiz Carlos Marques [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
de Oliveira, Elaine Aparecida [UNESP] da Silva, Anne Kastelianne França [UNESP] Christofaro, Diego Giuliano Destro [UNESP] Vanzella, Laís Manata [UNESP] Gomes, Rayana Loch [UNESP] Vanderlei, Franciele Marques [UNESP] Vanderlei, Luiz Carlos Marques [UNESP] |
dc.subject.por.fl_str_mv |
Autonomic nervous system Diabetes mellitus/complications Diabetes/diagnosis Diabetes/therapy Heart rate Young adult |
topic |
Autonomic nervous system Diabetes mellitus/complications Diabetes/diagnosis Diabetes/therapy Heart rate Young adult |
description |
Background: Type 1 diabetes mellitus can cause autonomic changes, which can be assessed by heart rate variability. Among the heart rate variability assessment methods, the symbolic analysis and Shannon entropy, based on the Chaotic dynamics, have gained prominence. Objective: To compare heart rate variability indexes, obtained through symbolic analysis and Shannon entropy, in young adults with type 1 diabetes mellitus and healthy young individuals, associated with the analysis of linear indexes; and to verify if there are associations between the indexes obtained by the symbolic analysis and by Shannon entropy and linear indexes in diabetic individuals. Methods: Heart rate variability data from 39 young adults with type 1 diabetes mellitus and 43 healthy young individuals were analyzed, using a cardio-frequency meter. Linear indexes (standard deviation of all normal RR intervals recorded in a time interval expressed in milliseconds; square root of the mean of the squared differences between adjacent normal RR intervals in a time interval expressed in milliseconds; low and high frequency components in millisecond squared; and normalized units and ratio between low and high frequency components) and nonlinear ones (Shannon entropy and symbolic analysis – standard without variation; with one or two variations; and with two different variations) of the heart rate variability were calculated. The statistical significance was set at 5%, and the confidence interval was 95%. Results: Significantly lower values were observed in the DM1 group compared to healthy young adults for the standard deviation indexes of all normal RR intervals recorded in a time interval [37.30 (29.90) vs. 64.50 (36.20); p = 0.0001], square root of the mean of the squared differences between adjacent normal RR intervals in a time interval [32.73 (17.43) vs. 55.59 (21.60); p = 0.0001], low frequency component [402.00 (531.00) vs. 1,203.00 (1,148.00); p = 0.0001], high frequency component [386.00 (583.00) vs. 963.00 (866.00); p = 0.0001] and the pattern with two different variations [15,33 (9,22) vs. 20.24 (12.73); p = 0.0114], with the effect of this difference being considered large (standard deviation of all normal RR intervals recorded in a time interval, square root of the mean of the squared differences between adjacent normal RR intervals in a time interval and low frequency component), medium (high frequency component) and small (standard with two different variations). The agreement of the associations between the linear and non-linear indexes was considered elevated for the high frequency component index - normalized units (r = –0.776), with the standard index without variation, and moderate for the indexes square root of the mean of the squared differences between adjacent normal RR intervals in a time interval (r = 0.550), standard deviation of all normal RR intervals recorded in a time interval (r = 0.522), high frequency component - normalized units (r = 0.638) with the index standard with two similar variations, as well as for the indexes square root of the mean of the squared differences between adjacent normal RR intervals in a time interval (r = 0.627) and high frequency component - normalized units (r = 0.601) with the index standard with two different variations. Conclusion: Type 1 diabetes mellitus influenced linear indexes and symbolic analysis, but not yet in the complexity of heart rate variability. Additionally, heart rate variability indexes correlated with the symbolic dynamics. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:38:17Z 2018-12-11T17:38:17Z 2018-07-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.5935/abc.20180117 Arquivos Brasileiros de Cardiologia, v. 111, n. 1, p. 94-101, 2018. 1678-4170 0066-782X http://hdl.handle.net/11449/180130 10.5935/abc.20180117 S0066-782X2018001300094 2-s2.0-85052322210 S0066-782X2018001300094.pdf 5860525135106995 |
url |
http://dx.doi.org/10.5935/abc.20180117 http://hdl.handle.net/11449/180130 |
identifier_str_mv |
Arquivos Brasileiros de Cardiologia, v. 111, n. 1, p. 94-101, 2018. 1678-4170 0066-782X 10.5935/abc.20180117 S0066-782X2018001300094 2-s2.0-85052322210 S0066-782X2018001300094.pdf 5860525135106995 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
Arquivos Brasileiros de Cardiologia |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
94-101 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128859329003520 |