Literature DB >> 29777477

Cardiac and gait rhythms in healthy younger and older adults during treadmill walking tasks.

Matthew W Wittstein1, Joseph M Starobin2, Randy J Schmitz2, Sandra J Shulz2, Francis Jay Haran2, Christopher K Rhea2.   

Abstract

BACKGROUND: Aging and pathology result in changes in the dynamics of several physiological subsystems. Often, these changes are concurrent, altering the dynamics between subsystems. Cardiac and gait rhythms are one example in which patterns change during physical activity. AIMS: The purpose of this research is to simultaneously monitor changes in cardiac and gait rhythms when participants complete various treadmill walking tasks-normal speed, fast speed, and while synchronizing steps with a blinking metronome.
METHODS: The cardiac and gait rhythms of younger and older healthy adults were examined in this study during treadmill walking tasks. Pre-test and post-test walking at a preferred walking speed were compared to fast walking and walking with a gait synchronization test. Cardiac and gait rhythms were observed to calculate the mean, standard deviation, coefficient of variation, detrended fluctuation analysis scaling exponent alpha (DFA α), and sample entropy from each 15-min trial. Separate MANOVAs were used to examine the two experimental conditions for cardiac and gait rhythm variability.
RESULTS: During the gait synchronization experiment, main effects for phase were exhibited for all gait variables, but none were shown during the fast walking task. Meanwhile, the cardiac rhythms demonstrated decreased mean and increased DFA α only during the synchronization condition. DISCUSSION: Participants, regardless of age, exhibited similar patterns of change in their cardiac and locomotor rhythms during the treadmill walking tasks. Cardiac rhythms were only altered during the gait synchronization task, suggesting it may be possible to simultaneously influence the variability and structure of cardiac and gait rhythms.

Entities:  

Keywords:  Dynamic systems; Gait; Loss of complexity; Variability

Mesh:

Year:  2018        PMID: 29777477     DOI: 10.1007/s40520-018-0962-5

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  2 in total

1.  Effect of sampling frequency on fractal fluctuations during treadmill walking.

Authors:  Vivien Marmelat; Austin Duncan; Shane Meltz
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

Review 2.  Detecting Metabolic Thresholds from Nonlinear Analysis of Heart Rate Time Series: A Review.

Authors:  Giovanna Zimatore; Maria Chiara Gallotta; Matteo Campanella; Piotr H Skarzynski; Giuseppe Maulucci; Cassandra Serantoni; Marco De Spirito; Davide Curzi; Laura Guidetti; Carlo Baldari; Stavros Hatzopoulos
Journal:  Int J Environ Res Public Health       Date:  2022-10-05       Impact factor: 4.614

  2 in total

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