Cross-sectional analysis of frailty status and heart rate variability at rest and during exercise in older adult females

dc.contributor.authorJohnston, Nicole
dc.contributor.examiningcommitteeVillar, Rodrigo (Kinesiology and Recreation Management) Rakesh, Arora (Surgery)en_US
dc.contributor.supervisorDuhamel, Todd (Kinesiology and Recreation Management)en_US
dc.date.accessioned2021-01-12T20:31:28Z
dc.date.available2021-01-12T20:31:28Z
dc.date.copyright2021-01-01
dc.date.issued2020en_US
dc.date.submitted2021-01-01T21:41:10Zen_US
dc.degree.disciplineKinesiology and Recreation Managementen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractFrailty is related to an imbalance of homeostasis within the body, accompanied by an accumulation of health deficits. A possible way to measure this imbalance, is with a non-invasive measure of the autonomic nervous system through heart rate variability (HRV). This study utilized a secondary, cross-sectional analysis of data collected in the Women’s Advanced Risk-Assessment in Manitoba (WARM) Hearts study. The purpose was to determine if there is a difference in HRV depending on frailty level measured by the WARM Hearts HRV Frailty Index (WH-HRV FI) and the Standardized Frailty Phenotype measured at rest and during moderate exercise; and to determine if there is an association between HRV and frailty when measuring frailty on a continuous scale both at rest and during moderate exercise. Data analysis included 125 females in the resting cohort, and 102 in the exercise cohort. Frailty was measured using two separate methods (WH-HRV FI and the Standardized Frailty Phenotype). HRV was measured using a Polar H7 heart rate monitor with a 5-minute sample at rest and a 2-minute sample during exercise. This analysis included various HRV indices including mean RR intervals (Mean RR), standard deviation of normal-normal intervals (SDNN), root mean square of successive intervals (RMSSD), low frequency (LF), high frequency (HF), total power (TP), low frequency to high frequency ratio (LF/HF), and approximate entropy (ApEn). Resting analysis revealed a trend towards a reduction in SDNNlog, TPlog, and LF/HFlog and a significant positive association in LFlog in those who were frail with no changes of RMSSDlog or HFlog indicating an impaired sympathetic nervous system (SNS). Exercise analysis revealed a significant difference and positive association between frailty and mean RRlog, and an inverse relationship between frailty and TPlog. This indicates a reduced ability to adapt to changes and a reduced global HRV for both frailty measures. There were inconsistent results regarding the direction of the association between LFlog and SDNNlog between frailty tools. Overall, there may be an impairment in SNS activity at rest and a reduced ability to adapt, along with decreased global HRV (TPlog) during exercise in those who have increased levels of frailty.en_US
dc.description.noteFebruary 2021en_US
dc.identifier.urihttp://hdl.handle.net/1993/35214
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectFrailtyen_US
dc.subjectHeart rate variabilityen_US
dc.subjectFrailty indexen_US
dc.subjectFrailty phenotypeen_US
dc.titleCross-sectional analysis of frailty status and heart rate variability at rest and during exercise in older adult femalesen_US
dc.typemaster thesisen_US
local.subject.manitobayesen_US
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