Dataset Information

Medical, Sensorimotor and Cognitive Factors Associated With Gait Variability: A Longitudinal Population-Based Study.

ABSTRACT: Background: Greater gait variability increases the risk of falls. However, little is known about changes in gait variability in older age. The aims of this study were to examine: (1) change in gait variability across time and (2) factors that predict overall mean gait variability and its change over time. Methods: Participants (n = 410; mean age 72 years) were assessed at baseline and during follow up visits at an average of 30 and 54 months. Step time, step length, step width and double support time (DST) were measured using a GAITRite walkway. Variability was calculated as the standard deviation of all steps for each individual. Covariates included demographic, medical, sensorimotor and cognitive factors. Mixed models were used to determine (1) change in gait variability over time (2) factors that predicted or modified any change. Results: Over 4.6 years the presence of cardiovascular disease at baseline increased the rate of change for step length variability (p = 0.04 for interaction), lower education increased the rate of change for DST variability (p = 0.04) and weaker quadriceps strength increased the rate of change for step width variability (p = 0.01). Greater postural sway predicted greater variability on average across the three phases (p < 0.05). Arthritis, a higher body mass index (BMI), slower processing speed and lower quadriceps strength predicted greater mean step time variability (p < 0.05). Arthritis and a higher BMI predicted greater mean step length variability, while slower processing speed and BMI predicted greater mean DST variability (p < 0.05). Conclusion: Over a nearly 5-year period, variability in different gait measures do not show uniform changes over time. Furthermore, each variability measure appears to be modified and predicted by different factors. These results provide information on potential targets for future trials to maintain mobility and independence in older age.

SUBMITTER: Jayakody O

PROVIDER: S-EPMC6305368 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Medical, Sensorimotor and Cognitive Factors Associated With Gait Variability: A Longitudinal Population-Based Study.

Jayakody Oshadi O Breslin Monique M Srikanth Velandai V Callisaya Michele M

Frontiers in aging neuroscience 20181218

Background: Greater gait variability increases the risk of falls. However, little is known about changes in gait variability in older age. The aims of this study were to examine: (1) change in gait variability across time and (2) factors that predict overall mean gait variability and its change over time. Methods: Participants (n = 410; mean age 72 years) were assessed at baseline and during follow up visits at an average of 30 and 54 months. Step time, step length, step wid ...[more]

PMID: 30618725

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Project description:Recent evidence indicates that thyroid hormones may be closely linked to cognition among adults. We investigated associations between thyroid hormones and longitudinal cognitive change, within and outside of reference ranges, stratifying by sex and race. This longitudinal study used data from the Healthy Aging in Neighborhoods of Diversity Across the Lifespan study, set in Baltimore City, MD, 2004-2013, on adults aged 30-64 years at baseline visit, with a length of follow-up between visits 1 and 2 ranging from <1 to 8 years; mean ± standard deviation: 4.64 ± 0.93. The final analytic sample sizes ranged from 1486 to 1602 participants with 1.6-1.7 visits per participant (total visits: 2496-2757), depending on the cognitive test. Eleven cognitive test scores spanning domains of learning or memory, language or verbal, attention, visuospatial and/or visuoconstruction, psychomotor speed, executive function, and mental status were used. Mixed-effects regression models were conducted, interacting time of follow-up with several thyroid exposures. Whites performed better than African Americans, with only 4 cognitive test scores of 11 declining significantly over time. Importantly, above reference range thyroid stimulating hormone (vs. reference range, thyroid stimulating hormone, above reference range [TSHarr]) was linked to faster rates of decline on the digits span backwards test, reflecting working memory (TSHarr × time ? ± standard error: -0.14 ± 0.05, p = 0.006) and clock-command, at test of visuospatial and/or visuoconstruction abilities (TSHarr × Time ? ± standard error: -0.10 ± 0.04, p = 0.004). The latter finding was replicated when comparing normal thyroid function to "subclinical hypothyroidism". Within-reference ranges, a higher thyroid stimulating hormone was related to faster decline on the clock-command test scores in women. In sum, higher baseline thyroid stimulating hormone was associated with faster cognitive decline over-time among urban US adults, specifically in domains of working memory and visuospatial and/or visuoconstruction abilities.

Project description:BACKGROUND:Gait disorders are major symptoms of neurological diseases affecting the quality of life. Interventions that restore walking and allow patients to maintain safe and independent mobility are essential. Robot-assisted gait training (RAGT) proved to be a promising treatment for restoring and improving the ability to walk. Due to heterogenuous study designs and fragmentary knowlegde about the neural correlates associated with RAGT and the relation to motor recovery, guidelines for an individually optimized therapy can hardly be derived. To optimize robotic rehabilitation, it is crucial to understand how robotic assistance affect locomotor control and its underlying brain activity. Thus, this study aimed to investigate the effects of robotic assistance (RA) during treadmill walking (TW) on cortical activity and the relationship between RA-related changes of cortical activity and biomechanical gait characteristics. METHODS:Twelve healthy, right-handed volunteers (9 females; M?=?25?±?4?years) performed unassisted walking (UAW) and robot-assisted walking (RAW) trials on a treadmill, at 2.8?km/h, in a randomized, within-subject design. Ground reaction forces (GRFs) provided information regarding the individual gait patterns, while brain activity was examined by measuring cerebral hemodynamic changes in brain regions associated with the cortical locomotor network, including the sensorimotor cortex (SMC), premotor cortex (PMC) and supplementary motor area (SMA), using functional near-infrared spectroscopy (fNIRS). RESULTS:A statistically significant increase in brain activity was observed in the SMC compared with the PMC and SMA (p?<?0.05), and a classical double bump in the vertical GRF was observed during both UAW and RAW throughout the stance phase. However, intraindividual gait variability increased significantly with RA and was correlated with increased brain activity in the SMC (p?=?0.05; r?=?0.57). CONCLUSIONS:On the one hand, robotic guidance could generate sensory feedback that promotes active participation, leading to increased gait variability and somatosensory brain activity. On the other hand, changes in brain activity and biomechanical gait characteristics may also be due to the sensory feedback of the robot, which disrupts the cortical network of automated walking in healthy individuals. More comprehensive neurophysiological studies both in laboratory and in clinical settings are necessary to investigate the entire brain network associated with RAW.

Dataset Information

Medical, Sensorimotor and Cognitive Factors Associated With Gait Variability: A Longitudinal Population-Based Study.

Publications

Medical, Sensorimotor and Cognitive Factors Associated With Gait Variability: A Longitudinal Population-Based Study.

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