Minimum number of days required for a reliable estimate of daily step count and energy expenditure, in people with MS who walk unaided

Norris, Michelle; Anderson, Ross; Motl, Robert W.; Hayes, Sara; Coote, Susan

doi:10.1016/j.gaitpost.2017.02.005

Cited by 18 publications

(17 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, averaging 2 days of step counts provides an adequate level of reliability (≥0.7), which approximates a very high level of reliability estimates when averaging data for an entire week (0.9). This was replicated by Norris et al [23], who reported similar findings using an approach that examined reliability coefficients from random 2-day to 7-day averages. In addition, obtaining a stable measure of freeliving walking activity based on pedometer use may require 7 days in healthy individuals [33], while more impaired populations such as incomplete spinal cord injury patients may require only 2 days of monitoring to achieve acceptably stable estimates [34].…”

Section: Discussionsupporting

confidence: 53%

“…There is a continued need for more evidence of usage in realworld settings; larger samples, broader functional ranges, and appropriate metrics to gain greater confidence in the use of activity monitors in tracking and managing MS. For example, Norris et al [23] found that to calculate a reliable mean daily step count in unaided walking, a minimum of any random 2-day combination is required. However, that study was conducted with a relatively small sample of MS patients that were not highly functioning.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Free-Living Physical Activity Monitoring in Adult US Patients with Multiple Sclerosis Using a Consumer Wearable Device

et al. 2018

View full text Add to dashboard Cite

Introduction: Wearable devices have been used to characterize physical activity in multiple sclerosis (MS). The objectives of this study were to advance the literature on the utility of free-living physical activity tracking from secondary analyses of a pilot study in MS patients. Method: The original observational study was conducted in participants with MS at PatientsLikeMe (www.PatientsLikeMe.com), an online network of patients with chronic diseases. Participants completed a baseline self-assessment, and received a Fitbit One^TM wearable device with instructions to upload data. Eligible participants (1) self-reported MS, (2) logged on to the PatientsLikeMe website 90 days prior to enrollment, and (3) consented to participate electronically. Participants (1) < 18 years, (2) living outside the United States, and (3) requiring wheelchair assistance for most daily activities were excluded. The secondary analyses were limited to participants with complete data on MS type, disease duration, and Multiple Sclerosis Rating Scale (MSRS) and at least 7 days of wearable data. Step count was used as a measure of physical activity. Results: The analysis cohort of 114 participants uploaded a mean of 20.1 days of wearable data over the 23-day study (87% adherence); participants averaged 4,393 steps per day. The mean age of participants was 52 years, predominantly female (75%), relapsing-remitting type (79%), with mean disease duration of 16 years. Mean MSRS score within 30-day of baseline was 32; 72% reported mild-moderate walking disability. The reliability of step count measured by intraclass correlation was 0.55 for a single day, ≥0.7 for 2-day average, and ≥0.9 for 7-day average. After controlling for covariates, self-reported disease severity (MSRS quartile) was an independent predictor of step count (p < 0.001). Least square means (LS means) for participants that were least disabled (lowest quartile) was 5,937 steps, which was significantly higher than participants in the second, third, and fourth quartiles (4,570, 3,490, and 3,272, respectively). Similarly, LS means of participants with no ambulatory disability (measured by MSRS walk component) was 6,931 steps, significantly higher than participants with greater disability (4,743, 4,394, 2,727 steps for symptomatic, mild, and moderate disability, respectively, p < 0.001). Discussion: Using an interactive platform, this study captured free-living mobility data in MS patients. Important metrics such as the use of a minimum of 2-day estimates and self-reported disability were found to be robust indicators and correlates, respectively, of participant activity levels. Further triangulation of such metrics may reduce the burden on patients, clinicians, and researchers when monitoring clinical status.

show abstract

Section: Discussionsupporting

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Free-Living Physical Activity Monitoring in Adult US Patients with Multiple Sclerosis Using a Consumer Wearable Device

et al. 2018

View full text Add to dashboard Cite

show abstract

“…For the present analyses we used only participants who provided 4 days of valid daily EE data (n = 62), because preliminary analysis using the generalizability theory indicates that a minimum of any 4 days of the week provides a reliable estimate of average daily EE. 29 The SenseWear Armband Social cognitive theory is one of the most widely adopted theoretical frameworks for understanding and optimizing PA behavior. It is characterized by four constructs: self-efficacy, outcome expectations, goal setting, and barriers and facilitators.…”

Section: Pa Measurementioning

confidence: 99%

Social Cognitive Theory Correlates of Physical Activity in Inactive Adults with Multiple Sclerosis

Uszynski¹,

Casey²,

Hayes³

et al. 2018

International Journal of MS Care

Self Cite

View full text Add to dashboard Cite

show abstract

“…Compared with measures from a portable metabolic system (i.e., Oxycon Mobile), the SWA overestimated METs by 15.4% for individuals using at most a stick to walk and 6.6% for those needing bilateral support [77]. For reliably estimating physical activity in MS using the SWA, a study by Norris et al [78] provides indication that at least 2 and 4 days of monitoring are required for reliable estimates of steps and energy expenditure in fully ambulatory persons with MS.…”

Section: Research From 2013–2017: What Is New?mentioning

confidence: 99%

Motion sensors in multiple sclerosis: Narrative review and update of applications

Sasaki

Sandroff

Bamman

et al. 2017

Expert Review of Medical Devices

View full text Add to dashboard Cite

Introduction: The use of motion sensors for measuring physical activity in multiple sclerosis (MS) has evolved with increasing research particularly during the past decade. Areas covered: This manuscript reviews the literature regarding the application of motion sensors for measuring physical activity in MS. We first describe ‘what is known’ about their use in MS by examining the evidence generated between 1997 and 2012, including the psychometric properties of motion sensors in MS and the development of MS-specific accelerometer cut-points. We then evaluate ‘what is new’ based on research conducted between 2013 and 2017. This includes newer research on psychometric properties of motion sensors in MS, development of new MS-specific accelerometer and step-rate cut-points, sedentary behavior assessment, and research on fitness trackers and multisensors in MS. The final part presents a picture of “what is next” for the applications of motion sensors in MS, especially pertaining new opportunities for testing and using fitness trackers in MS, and tracking disease and disability progression based on motion sensor output. Expert commentary: The use of motion sensors in MS has grown substantially over the years; however, a lot more can be done to explore the full potential and utility of these devices in MS.

show abstract

Minimum number of days required for a reliable estimate of daily step count and energy expenditure, in people with MS who walk unaided

Abstract: A minimum of 2days for step count and 4days for EE, regardless of day type, is needed to reliably estimate daily step count and daily EE, in people with MS who walk unaided.

Cited by 18 publications

References 42 publications

Free-Living Physical Activity Monitoring in Adult US Patients with Multiple Sclerosis Using a Consumer Wearable Device

Free-Living Physical Activity Monitoring in Adult US Patients with Multiple Sclerosis Using a Consumer Wearable Device

Social Cognitive Theory Correlates of Physical Activity in Inactive Adults with Multiple Sclerosis

Motion sensors in multiple sclerosis: Narrative review and update of applications

Contact Info

Product

Resources

About