Background and Purpose: The purposes of this study were to examine (1) differences in mood and motivation among older adults after the completion of 6 minutes of self-paced walking (6MW) and (2) the relationship between pace and magnitude of mood change. Methods: Eleven participants completed 3 days of testing where energy, fatigue, tension, depression, confusion, mental and physical energy, and motivation to perform mental tasks were measured before and after the 6MW. A repeated-measures analysis of variance was used to examine changes in mood and motivation, and a bivariate Pearson correlation was used to determine relationships between pace and magnitude of changes in mood. Results: Faster pace was associated with significant improvements (P < .05) in fatigue, energy, tension, confusion, total mood disturbance, state mental fatigue, and state physical energy. A significant relationship was noted between pace and changes in energy, fatigue, state mental and physical energy, and fatigue in the expected direction. Discussion: Results indicate that mood is influenced by pace of the activity. Findings suggest that even 6 minutes of physical activity can improve moods, which may impact how physical therapists approach prescribing exercise to older adults.
ObjectiveThe objective of this study was to examine the relationship between self reported mood (fatigue, vigor, motivation, trait physical energy (TPE), trait physical fatigue (TPF), trait mental energy (TME), trait mental fatigue (TMF)) and gait.MethodsSubjects (N=12, age= 75.39±6.67 yrs, height=176.01±51.94 cm, weight=61.97±12.61 kg)) were involved in 2 days of a 2‐hour protocol of cognitively fatiguing tasks, after which they were administered the Profile of Mood Survey (POMS) and Trait Mental and Physical Fatigue and Energy surveys (TS), tasked to complete a 6MWT at their normal speed, and then the POMS and TS were re‐administered. Gait speed (GS), step length (SL) and stride length (StL) were measured using the OptoGait™ during the 6MWT. Gait was measured the first and last 30 seconds of the 6MWT. A bi‐variate Pearson correlation was used to determine the relationship between mood scores before the 6MWT to GS, SL, and StL in the first 30 seconds of the 6MWT and mood scores after the 6MWT to GS, SL, and StL in the last 30 seconds of the 6MWT.ResultsThere were no relationships between all self reported mood variables and gait variables during the first 30 seconds of the 6MWT. However, there was a significant relationship between self reported fatigue and GS (p=.044, R=−.371); vigor and GS (p=.016, R=.437), SL (p=.020, R=.422), StL (p=.023, R=.415); TME and GS (p=.029, R=.400), SL (p=.023, R=.415), StL (p=.024, R=.410) in the last 30 seconds of the 6MWT. Which ones were there no relationship between last 30 seconds of the 6MWT.ConclusionResults indicate that self‐reported feelings of fatigue and energy play a role in gait performance during prolonged walking activity. These results suggest that mood in older adults who are cognitively fatigued may be related to gait. It seems that feelings of mental energy impact gait however, feelings of physical energy don't. We need to further evaluate why feelings of physical energy and fatigue are not related to gait. We also need to further evaluate whether changes in mood also change gait speed, stride length and step length.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.
PurposeThe purpose of this study was to examine the relationship between cognitive fatigue as measured by performance on the serial subtract 3 (S3) and 7 (S7) at the end of a two‐hour protocol and walking performance as measured by step length (SL), gait speed (GS), and stride length (StL) in the first 30‐seconds of a 6‐minute walk test (6MWT) immediately following a cognitively fatiguing protocol.MethodsHealthy older adults (N=12, age= 75.39±6.67 yrs, height=176.01±51.94 cm, weight=61.97±12.61 kg) were involved in 2 days of a 2‐hour protocol of cognitively fatiguing tasks (S3 and S7, continuous performance task (CPT), rapid visual input processing (RVIP),) after which they were tasked to complete a 6MWT at their normal speed. Gait speed, step length and stride length were measured using the OptoGait™. A bi‐variate Pearson correlation was used to determine the relationship between scores on the serial subtract 3 and 7 (after 2‐hours of cognitively fatiguing tasks) and GS, SL and StL for the first 30 seconds of the 6MWT.ResultsThere was a positive significant relationship between S3 number correct and SL (R=.512, p=.018), GS (R=.457, p=.037), and StL (R=.481, p=.027) and S3 number of attempts and SL (R=.474, p=.030), GS (R=.434, p=.050), StL (R=.450, p=.041). There was no significant relationship between S3 number incorrect and S7 number correct, number incorrect and total attempts and gait parameters (p>.05).ConclusionResults suggest that after cognitive fatigue there is a relationship between lower level cognitive tasks and gait. Results suggest that showing lower level unique and characteristic errors in arithmetical reasoning may reflect underlying impairment in certain cognitive functions involved in gait. However, more challenging cognitive tasks (S7) was not related to gait. This may suggest that lower level executive function is involved in walking performance in older adults. Further research needs to be conducted to explore the exact relationship between higher and lower level cognitive tasks and single task gait and the neural circuitry involved.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.
PurposeThe purpose of this study was to determine the impact of cognitive fatigue on aerobic output during a 6‐minute walk test (6MWT) in older adults.MethodsHealthy older adults (N=9, age= 67.39±4.58 yrs, height=168.01±55.82 cm, weight=60.80±12.41 kg) were involved in 2 days of testing. One day was a 2‐hour protocol of cognitively fatiguing tasks (S3 and S7, continuous performance task (CPT), rapid visual input processing (RVIP),) after which they were tasked to complete a 6MWT at their normal speed and VO2 was measured using the Cosmed Fitmate Pro. The other day, a baseline 6MWT was performed and VO2 were measured. A One‐Sample Kolmogorov‐Smirnov Test to determine distribution of peak VO2 scores prior to performing an independent sample T‐test to determine differences between cognitive fatigue and non‐cognitive fatigue days.ResultsResults yielded a normal distribution (Mean=871,33, SD=265.89) and T‐test analysis yielded no significant differences (p=.734) between cognitive fatigue and non‐cognitive fatigue days.ConclusionAlthough analysis yielded no difference in peak VO2 scores between days, it should be noted that 6 out of the 9 subjects had lower peak VO2 on cognitive fatigue days than on non‐cognitive fatigue days. Further research needs to be conducted to determine whether cognitive fatigue does decrease aerobic performance in older adults.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.
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