TY - JOUR
T1 - Frailty and heart response to physical activity
AU - Toosizadeh, Nima
AU - Ehsani, Hossein
AU - Parthasarathy, Sairam
AU - Carpenter, Ben
AU - Ruberto, Kayleigh
AU - Mohler, Jane
AU - Parvaneh, Saman
N1 - Funding Information: The authors report no relationships that could be construed as a conflict of interest. Dr. Parthasarathy reports grants from National Institutes of Health, American Academy of Sleep Medicine Foundation, Patient Centered Outcomes Research Institute, and Johrei Institute. Personal royalty fees from UpToDate Inc. Outside the submitted work, Dr. Parthasarathy has a patent UA 14-018 U.S.S.N. 90 61/884,654; PTAS 502570970 (Home breathing device) issued. The above-mentioned conflicts, including the patent, are unrelated to the topic of this paper. Funding Information: This project was supported by an award from the National Institute of Aging (NIA/NIH - Phase 2B Arizona Frailty and Falls Cohort 2R42AG032748-04 ). Dr. Parthasarathy was supported by National Institutes of Health (NIH/NHLBI ( HL126140 , AG059202 , OD028307 , HL151254 , HL138377 , HL140144 , HL128954 ); PCORI ( DI-2018C2-13161 and COVID supplement, PPRND-1507-31666 , PCS-1504-30430 , PCS-1504-30430 , and EADI-16493 ) and American Academy of Sleep Medicine Foundation (AASMF; 169-SR-17 ). The views represented in this work are solely the responsibility of the authors and do not represent the views of NIH, PCORI, the Board of Governors, or the Methodology Committee. Publisher Copyright: © 2020
PY - 2021/3/1
Y1 - 2021/3/1
N2 - 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.
AB - 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.
KW - Cardiovascular disease
KW - Frailty
KW - Heart rate dynamics
KW - Heart rate variability
KW - Older adults
KW - Orthostatic haemodynamics
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U2 - 10.1016/j.archger.2020.104323
DO - 10.1016/j.archger.2020.104323
M3 - Article
C2 - 33340830
SN - 0167-4943
VL - 93
JO - Archives of gerontology and geriatrics
JF - Archives of gerontology and geriatrics
M1 - 104323
ER -