Abstract
Background and purpose The purpose of this study was to examine the minimum number of days needed to reliably estimate daily step count and energy expenditure (EE), in people with multiple sclerosis (MS) who walked unaided. Methods Seven days of activity monitor data were collected for 26 participants with MS (age = 44.5 ± 11.9 years; time since diagnosis = 6.5 ± 6.2 years; Patient Determined Disease Steps = ≤3). Mean daily step count and mean daily EE (kcal) were calculated for all combinations of days (127 combinations), and compared to the respective 7-day mean daily step count or mean daily EE using intra-class correlations (ICC), the Generalizability Theory and Bland-Altman. Results For step count, ICC values of 0.94–0.98 and a G-coefficient of 0.81 indicate a minimum of any random 2-day combination is required to reliably calculate mean daily step count. For EE, ICC values of 0.96–0.99 and a G-coefficient of 0.83 indicate a minimum of any random 4-day combination is required to reliably calculate mean daily EE. For Bland-Altman analyses all combinations of days, bar single day combinations, resulted in a mean bias within ±10%, when expressed as a percentage of the 7-day mean daily step count or mean daily EE. Conclusions A minimum of 2 days for step count and 4 days for EE, regardless of day type, is needed to reliably estimate daily step count and daily EE, in people with MS who walk unaided.
Original language | English |
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Pages (from-to) | 201-206 |
Number of pages | 6 |
Journal | Gait and Posture |
Volume | 53 |
DOIs | |
Publication status | Published - 1 Mar 2017 |
Keywords
- Accelerometry
- Chronic disease
- Pedometry
- Physical activity