Background: Independent ambulation requires adaptability. Self-selected and maximum walking speeds are often both assessed to demonstrate the ability to adapt speed to different tasks and environments. However, purposefully walking at a slow speed (slowWS) could also be an appropriate adaptation in certain situations but has rarely been investigated.
Research Question: The purpose of this study was to assess the reliability, responsiveness, and concurrent validity of slowWS in community-dwelling older adults.
Methods: This was an observational, cross-sectional study of 110 community-dwelling older adults. Test-retest and inter-rater reliabilities of slowWS were assessed with intra-class correlation coefficients. Standard error of measurement (SEM) and minimal detectable change (MDC) were calculated to determine responsiveness. Concurrent validity was assessed with Spearman rank-order correlations between slowWS and a battery of tests previously shown to be related to walking speed.
Results: Walking speed measurement for slowWS was shown to have excellent test-retest and interrater reliability (ICCs values of 0.971-0.997). Standard error of measurement value was small (0.015 m/sec) and MDC was 0.04 m/sec. SlowWS was not found to significantly correlate to any other study variable.
Significance: Walking speed, whether self-selected, maximum, or slow, can be measured reliably with a stopwatch and specific verbal commands. While slowWS could be beneficial for certain tasks or environments, walking slowly was not associated with age, sex, comorbidity, or measures of cognition, depression, strength, balance, disability, or life-space in this sample.
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http://dx.doi.org/10.1016/j.gaitpost.2022.10.016 | DOI Listing |
PLoS One
January 2025
Department of Orthopedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Ratchathewi, Bangkok, Thailand.
Among control methods for robotic exoskeletons, biologically inspired control based on central pattern generators (CPGs) offer a promising approach to generate natural and robust walking patterns. Compared to other approaches, like model-based and machine learning-based control, the biologically inspired control provides robustness to perturbations, requires less computational power, and does not need system models or large learning datasets. While it has shown effectiveness, a comprehensive evaluation of its user experience is lacking.
View Article and Find Full Text PDFBackground: People living with dementia (PWD) have upregulated inflammatory pathways, exaggerated metabolic aging, and cellular aging. They also have declines in physical function and heightened fall-risk. Understanding the physiologic factors that influence physical decline and fall-risk in PWD is vital to assess and prevent adverse health outcomes, such as future falls.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Background: As a risk factor for Alzheimer's disease and related dementias (ADRD) in older adults, inflammatory mechanisms underlying physical frailty remain incompletely elucidated. This study aimed to characterize the inflammatory architecture of frailty and explore predictive implications of inflammatory signatures of frailty on ADRD.
Method: The study included 741 Framingham Heart Study Offspring cohort participants (52% female, mean 60 years range 40 to 85), dementia-free at Exam 7 (1998-2001), followed for incident dementia over 15.
Alzheimers Dement
December 2024
Department of Social Work, National Taiwan University, Taipei City, Taiwan, Taipei City, Taipei City, Taiwan.
Background: Slow gait speed and poor cognitions share numerous risk factors, including age, physical activities, chronic inflammation, education, metabolic abnormality, and the presence of multimorbidity. However, the causal relationship between gait and cognitions remains controversial. This study aimed to explore the reciprocal relationship of gait speed with global and domain-specific cognition in non-demented older adults.
View Article and Find Full Text PDFBackground: Mild traumatic brain injury (mTBI) increases dementia risk. Delays in diagnosis are common due to insensitive tools, prolonging symptoms and time to treatment. Dual-task gait and functional mobility deficits are present post-mTBI and in people living with dementia (PWD); however, it is unclear whether dual-tasking can be used as a tool to differentiate between groups.
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