Physical activity and walking performance across the lifespan among adults with multiple sclerosis

Baird, Jessica F.; Cederberg, Katie L.J.; Sikes, E. Morghen; Silveira, Stephanie L.; Jeng, Brenda; Sasaki, Jeffer Eidi; Sandroff, Brian M.; Motl, Robert W.

doi:10.1016/j.msard.2019.07.003

Cited by 39 publications

(17 citation statements)

References 35 publications

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“…Observing the PA intensity data of the pwMS tested, when raw accelerations were processed using the cut points proposed by Sebastiao et al [16], the percentages of SB (53%) and LPA (32%) were found consistent with those reported in previous studies which indicate values from 60 to 70% for SB and 27 to 37% for LPA [16,[42][43][44]. In contrast, our group exhibited significantly higher values for MVPA (15%), the typical values for pwMS being in the range 1-7%.…”

Section: Discussionsupporting

confidence: 85%

“…However, the same authors reported a significant positive correlation between gait speed and daily step count quite similar to what was found in the present study (0.72 vs. 0.62). Instead, the results for correlations between the percentage of light intensity PA and gait speed are quite contrasting, but there are few data in the literature to compare them with: Baird et al [44] detected no significant correlation (similarly to what was observed in the present study) while Cederberg et al [43] did (rho = 0.62).…”

Section: Discussionsupporting

confidence: 46%

“…In particular, values of rho for correlation "speed vs. MVPA" (0.48 in our group) in the range 0.33-0.40 were reported by Cederberg et al [43] and Baird et al [44]. In contrast, Shammas et al [32] found no significant correlation between PA intensity and gait speed, but it is to be recalled that they did not use a specific cut point for pwMS to classify it.…”

Section: Discussionsupporting

confidence: 37%

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What Gait Features Influence the Amount and Intensity of Physical Activity in People with Multiple Sclerosis?

Porta

Pilloni

Coghe

et al. 2020

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Background: Although the mutual relationship between ambulation and Physical Activity (PA) in people with Multiple Sclerosis (pwMS) has been described in several studies, there is still a lack of detailed information about the way in which specific aspects of the gait cycle are associated with amount and intensity of PA. This study aimed to verify the existence of possible relationships among PA parameters and the spatio-temporal parameters of gait when both are instrumentally assessed.Methods: Thirty-one pwMS (17F, 14M, mean age 52.5, mean Expanded Disability Status Scale score 3.1) were requested to wear a tri-axial accelerometer 24h/day for 7 consecutive days and underwent an instrumental gait analysis, performed using an inertial sensor located on the low back, immediately before the PA assessment period. Main spatio-temporal parameters of gait (i.e. gait speed, stride length, cadence and duration of stance, swing and double support phase) were extracted by processing trunk accelerations. PA was quantified using average number of daily steps and percentage of time spent at different PA intensity, the latter calculated using cut-point sets previously validated for MS. The existence of possible relationships between PA and gait parameters was assessed using Spearman’s rank correlation coefficient rho.Results: Gait speed and stride length were the parameters with the highest number of significant correlations with PA features. In particular, they were found moderately to largely correlated with number of daily steps (rho 0.62, p<0.001), percentage of sedentary activity (rho = -0.44, p<0.001) and percentage of moderate-to-vigorous activity (rho = 0.48, p<0.001). Small to moderate significant correlations were observed between PA intensity and duration of stance, swing and double support phases.Conclusions: The data obtained suggest that the most relevant determinants associated with higher and more intense levels of physical activity in free-living conditions are gait speed and stride length.The simultaneous quantitative assessment of gait parameters and PA levels might represent a useful support for physical therapists in tailoring optimized rehabilitative and training interventions.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionsupporting

confidence: 46%

Section: Discussionsupporting

confidence: 37%

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What Gait Features Influence the Amount and Intensity of Physical Activity in People with Multiple Sclerosis?

Porta

Pilloni

Coghe

et al. 2020

Preprint

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“…The present cross-sectional study represents a secondary data analysis of five separate examinations of physical and cognitive functioning among persons with MS (Baird et al, 2019;Goldman et al, 2013;Sandroff, Klaren et al, 2014;Sandroff, Bollaert et al, 2017). The studies had common inclusion criteria: (a) definite MS diagnosis; (b) relapse-free for the previous 30 days; (c) ambulatory with or without assistance; (d) ability to read 14-point font; and (e) willingness and ability to wear an accelerometer and complete the oral Symbol Digit Modalities Test (SDMT) as a measure of cognitive processing speed.…”

Section: Participantsmentioning

confidence: 99%

Device-Measured Physical Activity and Cognitive Processing Speed Impairment in a Large Sample of Persons with Multiple Sclerosis

Sandroff

Motl

2020

J Int Neuropsychol Soc

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Objective: There is accumulating evidence regarding the beneficial effects of physical activity (PA) on cognitive processing speed in persons with multiple sclerosis (MS). However, one overarching limitation of this research is that researchers have not recruited samples who have the actual problem of being studied (i.e., cognitive processing speed impairment). This study examined associations between device-measured PA and cognitive processing speed in a large sample of persons with MS overall and between those with and without cognitive processing speed impairment. Method: Three hundred eighty-five persons with MS underwent the oral Symbol Digit Modalities Test (SDMT) and wore an accelerometer for 7 days for PA measurement. We divided the overall sample into subsamples with (n = 140) and without (n = 245) cognitive processing speed impairment based on age, sex, and education-adjusted SDMT Z-scores. Results: After controlling for age and disability status, higher levels of device-measured PA were significantly associated with faster cognitive processing speed overall, and the association was significantly stronger among persons with MS who presented with cognitive processing speed impairment. Conclusions: This examination provides initial cross-sectional support for informing the development of PA interventions as a possible approach for managing MS-related cognitive processing speed impairment. This highlights the importance of developing purposefully designed trials involving PA interventions for targeting cognitive processing speed as a primary end point among persons with MS with impaired cognitive processing speed.

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“…1 This reflects a greying of the population of adults with MS that coincides with the demographic shift of adults in the general population, and portends considerable risk for negative effects of MS and aging on walking performance 2,3 and physical 3,4 and cognitive function 2,5 as well as health-related quality of life. 6 To date, there are very few options for managing the consequences of aging with MS, 7 but some data support physical activity behavior as being associated with better walking performance, 2,3,8 physical function, 2,3 and cognitive function 2 in this particular segment of the MS population. Nevertheless, the level of physical activity is exceedingly low among older adults with MS. 9 Older adults with MS consistently engage in less moderate-to-vigorous physical activity (MVPA) than younger and middle-aged adults with MS, 8,10 and the MS population as a whole is considerably less physically active than the general population of adults without MS. 11 This supports the importance of identifying theory-based, modifiable correlates of physical activity behavior for informing the design of behavioral interventions among older adults with…”

Section: Introductionmentioning

confidence: 99%

Social Cognitive Theory and Physical Activity in Older Adults with Multiple Sclerosis

Baird¹,

Silveira²,

Motl³

2020

International Journal of MS Care

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Background: The expanding population of older adults with multiple sclerosis (MS) likely experience many of the same benefits of physical activity as younger and middle-aged adults with MS. However, participation in physical activity is exceedingly low in this particular segment of the MS population. This study examined variables from social cognitive theory (SCT) as correlates of physical activity in older adults with MS, as this might inform the subsequent development of behavioral interventions. Methods: Older adults with MS (≥60 years, N = 180) completed an online survey including demographics and clinical characteristics, SCT variables (exercise self-efficacy, exercise goal setting, social support, and outcome expectations), and physical activity (total physical activity (PA) and moderate-to-vigorous physical activity (MVPA)). Results: Bivariate correlation analyses indicated that all SCT variables were significantly associated with both PA and MVPA (all P values ≤ .001). Hierarchical linear regression analyses indicated that disability status was a significant correlate of PA (β = −0.48; R2 = 0.23) and MVPA (β = −0.44; R2 = 0.19) in Step 1; disability and self-efficacy were significant correlates of PA (disability β = −0.20; self-efficacy β = 0.59; R2 = 0.50) and MVPA (disability β = −0.16; self-efficacy β = 0.60; R2 = 0.47) in Step 2; and disability, self-efficacy, and exercise goal setting were significant correlates of PA (disability β = −0.21; self-efficacy β = 0.50; exercise goal setting β = 0.14; R2 = 0.55) and MVPA (disability β = −0.17; self-efficacy β = 0.51; exercise goal setting β = 0.15; R2 = 0.51) in Step 3. Conclusions: Our results suggest that behavioral interventions targeting self-efficacy and exercise goal setting as targets from SCT may be appropriate for increasing physical activity in older adults with MS.

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Physical activity and walking performance across the lifespan among adults with multiple sclerosis

Cited by 39 publications

References 35 publications

What Gait Features Influence the Amount and Intensity of Physical Activity in People with Multiple Sclerosis?

What Gait Features Influence the Amount and Intensity of Physical Activity in People with Multiple Sclerosis?

Device-Measured Physical Activity and Cognitive Processing Speed Impairment in a Large Sample of Persons with Multiple Sclerosis

Social Cognitive Theory and Physical Activity in Older Adults with Multiple Sclerosis

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