Literature DB >> 33340830

Frailty and heart response to physical activity.

Nima Toosizadeh1, Hossein Ehsani2, Sairam Parthasarathy3, Ben Carpenter4, Kayleigh Ruberto4, Jane Mohler4, Saman Parvaneh5.   

Abstract

BACKGROUND: Although previous studies showed that frail older adults are more susceptible to develop cardiovascular diseases, the underlying effect of frailty on heart rate dynamics is still unclear. The goal of the current study was to measure heart rate changes due to normal speed and rapid walking among non-frail and pre-frail/frail older adults, and to implement heart rate dynamic measures to identify frailty status.
METHODS: Eighty-eight older adults (≥65 years) were recruited and stratified into frailty groups based on the five-component Fried frailty phenotype. While performing gait tests, heart rate was recorded using a wearable ECG and accelerometer sensors. Groups consisted of 27 non-frail (age = 78.70 ± 7.32) and 61 pre-frail/frail individuals (age = 81.00 ± 8.14). The parameters of interest included baseline heart rate measures (mean heart rate and heart rate variability), and heart rate dynamics due to walking (percentage change in heart rate and required time to reach the maximum heart rate).
RESULTS: Respectively for normal and rapid walking conditions, pre-frail/frail participants had 46% and 44% less increase in heart rate, and 49% and 27% slower occurrence of heart rate peak, when compared to non-frail older adults (p < 0.04, effect size = 0.71 ± 0.12). Measures of heart rate dynamics showed stronger associations with frailty status compared to baseline resting-state measures (sensitivity = 0.75 and specificity = 0.65 using heart rate dynamics measures, compared to sensitivity = 0.64 and specificity = 0.62 using baseline parameters).
CONCLUSIONS: These findings suggest that measures of heart rate dynamics in response to daily activities may provide meaningful markers for frailty screening.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Cardiovascular disease; Frailty; Heart rate dynamics; Heart rate variability; Older adults; Orthostatic haemodynamics

Year:  2020        PMID: 33340830     DOI: 10.1016/j.archger.2020.104323

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  5 in total

1.  Frailty Identification Using Heart Rate Dynamics: A Deep Learning Approach.

Authors:  Maryam Eskandari; Saman Parvaneh; Hossein Ehsani; Mindy Fain; Nima Toosizadeh
Journal:  IEEE J Biomed Health Inform       Date:  2022-07-01       Impact factor: 7.021

2.  The association between heart rate behavior and gait performance: The moderating effect of frailty.

Authors:  Kayleigh Ruberto; Hossein Ehsani; Saman Parvaneh; Jane Mohler; Mindy Fain; Nancy K Sweitzer; Nima Toosizadeh
Journal:  PLoS One       Date:  2022-02-16       Impact factor: 3.240

3.  Frailty assessment using a novel approach based on combined motor and cardiac functions: a pilot study.

Authors:  Nima Toosizadeh; Maryam Eskandari; Hossein Ehsani; Saman Parvaneh; Mehran Asghari; Nancy Sweitzer
Journal:  BMC Geriatr       Date:  2022-03-14       Impact factor: 3.921

4.  Chronotropic Response and Heart Rate Variability before and after a 160 m Walking Test in Young, Middle-Aged, Frail, and Non-Frail Older Adults.

Authors:  Lesli Álvarez-Millán; Claudia Lerma; Daniel Castillo-Castillo; Rosa M Quispe-Siccha; Argelia Pérez-Pacheco; Jesús Rivera-Sánchez; Ruben Fossion
Journal:  Int J Environ Res Public Health       Date:  2022-07-09       Impact factor: 4.614

5.  Cardiovascular and Pre-Frailty Risk Assessment during Shelter-In-Place Measures Based on Multimodal Biomarkers Collected from Smart Telemedical Wearables.

Authors:  Eliasz Kańtoch; Anna Kańtoch
Journal:  J Clin Med       Date:  2021-05-06       Impact factor: 4.241

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.