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Exercise capacity and body mass index - important predictors of change in resting heart rate

BACKGROUND: Resting heart rate (RHR) is an obtainable, inexpensive, non-invasive test, readily available on any medical document. RHR has been established as a risk factor for cardiovascular morbidity, is related to other cardiovascular risk factors, and may possibly predict them. Change in RHR over...

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Autores principales: Ehrenwald, Michal, Wasserman, Asaf, Shenhar-Tsarfaty, Shani, Zeltser, David, Friedensohn, Limor, Shapira, Itzhak, Berliner, Shlomo, Rogowski, Ori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925469/
https://www.ncbi.nlm.nih.gov/pubmed/31864299
http://dx.doi.org/10.1186/s12872-019-01286-2
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author Ehrenwald, Michal
Wasserman, Asaf
Shenhar-Tsarfaty, Shani
Zeltser, David
Friedensohn, Limor
Shapira, Itzhak
Berliner, Shlomo
Rogowski, Ori
author_facet Ehrenwald, Michal
Wasserman, Asaf
Shenhar-Tsarfaty, Shani
Zeltser, David
Friedensohn, Limor
Shapira, Itzhak
Berliner, Shlomo
Rogowski, Ori
author_sort Ehrenwald, Michal
collection PubMed
description BACKGROUND: Resting heart rate (RHR) is an obtainable, inexpensive, non-invasive test, readily available on any medical document. RHR has been established as a risk factor for cardiovascular morbidity, is related to other cardiovascular risk factors, and may possibly predict them. Change in RHR over time (∆RHR) has been found to be a potential predictor of mortality. METHODS: In this prospective study, RHR and ∆RHR were evaluated at baseline and over a period of 2.9 years during routine check-ups in 6683 subjects without known cardiovascular disease from the TAMCIS: Tel-Aviv Medical Center Inflammation Survey. Multiple linear regression analysis with three models was used to examine ∆RHR. The first model accounted for possible confounders by adjusting for age, sex and body mass index (BMI). The 2nd model included smoking status, baseline RHR, diastolic blood pressure (BP), dyslipidemia, high-density lipoprotein (HDL) and metabolic equivalents of task (MET), and in the last model the change in MET and change in BMI were added. RESULTS: RHR decreased with age, even after adjustment for sex, BMI and MET. The mean change in RHR was − 1.1 beats/min between two consecutive visits, in both men and women. This ∆RHR was strongly correlated with baseline RHR, age, initial MET, and change occurring in MET and BMI (P < 0.001). CONCLUSIONS: Our results highlight the need for examining individual patients’ ∆RHR. Reinforcing that a positive ∆RHR is an indicator of poor adherence to a healthy lifestyle.
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spelling pubmed-69254692019-12-30 Exercise capacity and body mass index - important predictors of change in resting heart rate Ehrenwald, Michal Wasserman, Asaf Shenhar-Tsarfaty, Shani Zeltser, David Friedensohn, Limor Shapira, Itzhak Berliner, Shlomo Rogowski, Ori BMC Cardiovasc Disord Research Article BACKGROUND: Resting heart rate (RHR) is an obtainable, inexpensive, non-invasive test, readily available on any medical document. RHR has been established as a risk factor for cardiovascular morbidity, is related to other cardiovascular risk factors, and may possibly predict them. Change in RHR over time (∆RHR) has been found to be a potential predictor of mortality. METHODS: In this prospective study, RHR and ∆RHR were evaluated at baseline and over a period of 2.9 years during routine check-ups in 6683 subjects without known cardiovascular disease from the TAMCIS: Tel-Aviv Medical Center Inflammation Survey. Multiple linear regression analysis with three models was used to examine ∆RHR. The first model accounted for possible confounders by adjusting for age, sex and body mass index (BMI). The 2nd model included smoking status, baseline RHR, diastolic blood pressure (BP), dyslipidemia, high-density lipoprotein (HDL) and metabolic equivalents of task (MET), and in the last model the change in MET and change in BMI were added. RESULTS: RHR decreased with age, even after adjustment for sex, BMI and MET. The mean change in RHR was − 1.1 beats/min between two consecutive visits, in both men and women. This ∆RHR was strongly correlated with baseline RHR, age, initial MET, and change occurring in MET and BMI (P < 0.001). CONCLUSIONS: Our results highlight the need for examining individual patients’ ∆RHR. Reinforcing that a positive ∆RHR is an indicator of poor adherence to a healthy lifestyle. BioMed Central 2019-12-21 /pmc/articles/PMC6925469/ /pubmed/31864299 http://dx.doi.org/10.1186/s12872-019-01286-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ehrenwald, Michal
Wasserman, Asaf
Shenhar-Tsarfaty, Shani
Zeltser, David
Friedensohn, Limor
Shapira, Itzhak
Berliner, Shlomo
Rogowski, Ori
Exercise capacity and body mass index - important predictors of change in resting heart rate
title Exercise capacity and body mass index - important predictors of change in resting heart rate
title_full Exercise capacity and body mass index - important predictors of change in resting heart rate
title_fullStr Exercise capacity and body mass index - important predictors of change in resting heart rate
title_full_unstemmed Exercise capacity and body mass index - important predictors of change in resting heart rate
title_short Exercise capacity and body mass index - important predictors of change in resting heart rate
title_sort exercise capacity and body mass index - important predictors of change in resting heart rate
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925469/
https://www.ncbi.nlm.nih.gov/pubmed/31864299
http://dx.doi.org/10.1186/s12872-019-01286-2
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