Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study)

Background

Limitations in physical activity are considered as a key problem in patients with multiple sclerosis (PwMS). Contemporary methods to assess the level of physical activity in PwMS are regular clinical observation. However, these methods either rely on high recall and accurate reporting from the patients (e.g. self-report questionnaires), or they are conducted during a particular clinical assessment with predefined activities. Therefore, the main aim of this pilot study was to develop an objective method to gather information about the real type and intensity of daily activities performed by PwMS in every-day living situations using an accelerometer. Furthermore, the accelerometer-derived measures are investigated regarding their potential for discriminating between different MS groups.

Methods

Eleven PwMS that were able to walk independently (EDSS ≤ 5) were divided into two groups: mild disability (EDSS 1–2.5; n = 6) and moderate disability (EDSS 3 –5; n = 5). Participants made use of an activity monitor device attached to their waist during their normal daily activities over 4 measurements. ... mehrActivity parameters were assessed and compared for the time of each participant’s first measurement and follow-up measurement. Furthermore, differences between both subgroups, and the correlation of activity parameters with the clinical neurological variable (EDSS) were investigated.

Results

Participants showed significant decline in step count (p&#8201;=&#8201;0.008), maximum walking speed (p&#8201;=&#8201;0.02) and physical activity intensity (p&#8201;=&#8201;0.03) throughout the study period. Compared to the mild subgroup, moderate affected participant accumulated less number of steps (G1: 9214.33&#8201;±&#8201;2439.11, G2: 5018.13&#8201;±&#8201;2416.96; p&#8201;<&#8201;0.005) and were slower (G1: 1.48&#8201;±&#8201;0.19, G2: 1.12&#8201;±&#8201;0.44; p&#8201;=&#8201;0.03). Additionally, the EDSS correlated negatively with mean walking speed (r&#8201;=&#8201;- 0.71, p&#8201;=&#8201;0.01) and steps count (r&#8201;=&#8201;- 0.54, p&#8201;=&#8201;0.08).

Conclusions

In this study, we used a portable activity monitoring sensor to gather information about everyday physical activity in PwMS at home. We showed that objective measurements using simple 3D accelerometers can track daily physical activity fluctuation. Furthermore, they track disability changes better than clinical measures. Thus, they can help to develop activity based treatments for PwMS.