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The Effect of Exercise Therapy on Cognitive Function in Adolescents with Down Syndrome

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This study examines the effect of exercise therapy on a stationary bike on cognitive function, specifically inhibition and set-switching, in adolescents with Down syndrome. 44 participants were randomly divided between the voluntary cycling therapy group (VCT) (i.e., self-selected cadence), assisted cycling therapy group (ACT) (i.e., 30% faster than self-selected cadence…

This study examines the effect of exercise therapy on a stationary bike on cognitive function, specifically inhibition and set-switching, in adolescents with Down syndrome. 44 participants were randomly divided between the voluntary cycling therapy group (VCT) (i.e., self-selected cadence), assisted cycling therapy group (ACT) (i.e., 30% faster than self-selected cadence accomplished by a motor), and a control group (NC) in which the participants did not undergo any exercise therapy. Both cycling groups rode a stationary bicycle, for 30 minutes, three times a week, for eight-weeks. At the beginning (i.e., pretest) and end (i.e., posttest) of the eight-week session the participants completed tasks to evaluate their cognitive function. They completed three trials of the card sort test (i.e., set-switching) and three trials of the knock-tap test (i.e, inhibition) before and after eight-weeks of cycling therapy. The scores of these tests were analyzed using one-way ANOVA between groups and paired samples t-tests. The results showed that after eight-weeks of cycling therapy the participants in the VCT group performed worse in the knock-tap test, but improved in two trials of the card sort test. The results also showed that the participants in the ACT group performed worse after eight-weeks of exercise therapy in one trial of the card sort test. No significant changes were seen for the control group. Due to the fact that on average the participants in the VCT group cycled with a higher heart rate, our results suggest exercise that significantly elevates heart rate can improve cognitive function, specifically set-switching, in adolescents with Down syndrome.
ContributorsBenson, Alicia Meigh (Author) / Ringenbach, Shannon (Thesis director) / Amazeen, Eric (Committee member) / Maraj, Brian (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2015-05
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Dynamical Analysis of Heart Rate Variability and Personality

Description

A dynamical approach is used to avoid isolating systems and instead view systems as interacting together. The current study applied a dynamical approach to heart rate variability and personality. There were two main research questions that this study sought to answer with a dynamical analysis of heart rate variability and…

A dynamical approach is used to avoid isolating systems and instead view systems as interacting together. The current study applied a dynamical approach to heart rate variability and personality. There were two main research questions that this study sought to answer with a dynamical analysis of heart rate variability and personality: “Can we listen to a heartbeat and draw connections to behavior and personality?” and “Is dynamical analysis more effective than traditional analysis at finding correlations between heart rate variability and personality?” To answer these questions a dynamical analysis of heart rate variability was conducted (detrended fluctuation analysis; DFA) along with traditional analysis (standard deviations of NN intervals, SDNN, and root mean squared of successive deviations, RMSSD) and then correlations between heart rate variability measures and personality traits from the Big Five Inventory, Positive and Negative Affect schedule, and State-Trait Anxiety Inventory were examined. Data for this study came from the Rapid Automatic & Adaptive Model for Performance Prediction (RAAMP2) Dataset that was part of The Multimodal Objective Sensing to Assess Individuals with Context (MOSAIC) project. There were no statistically significant correlations between heart rate variability and personality. However, there were notable correlations between extraversion and SDNN and RMSSD and between positive affect and SDNN and RMSSD. We found that SDNN and RMSSD were more closely correlated to each other compared to DFA to either measure. This suggests that DFA can provide information that SDNN and RMSSD do not. Future research can explore dynamic analysis of heart rate variability and other nested systems.
ContributorsBrown, Brent (Author) / Amazeen, Polemnia (Thesis director) / Corbin, William (Committee member) / Amazeen, Eric (Committee member) / Danvers, Alexander (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2021-12