A more profound investigation about the responses in activity levels following pulmonary rehabilitation (PR) in patients with COPD is needed. We aimed to describe groups of patients with COPD according to patterns of change in physical activity and sedentary behaviour following PR. 90 patients with COPD (60% male; mean age 67 ± 8; median FEV 47 (32-62) %pred) completed a comprehensive PR programme. A triaxial accelerometer was used to assess the time in sedentary behaviour, light activities and moderate-to-vigorous physical activity (MVPA). Additionally, exercise capacity, quality of life, and symptoms of anxiety and depression were assessed before and after PR. Six groups with different patterns of change in physical activity and sedentary behaviour were identified. The two most prevalent patterns were represented by good responders (increase in physical activity and reduction in sedentary behaviour, 34%) and poor responders (decrease in physical activity and increase in sedentary behaviour, 30%). Good responders had greater improvements in six-minute walk distance (6MWD) and symptoms of depression than poor responders (P < 0.05 for all). Strong correlation was found between changes in sedentary behaviour and changes in light activities (r = -0.89; P < 0.0001). Changes in 6MWD correlated fairly with changes in sedentary behaviour (r = -0.26), light activities (r = 0.25), and MVPA (r = 0.24); P < 0.05 for all. Different patterns of change in activity levels following PR can be found in patients with COPD. Focusing on light physical activities might be a potential strategy to make patients less sedentary, but for this to be achieved prior (or at least parallel) improvements in functional capacity seem to be necessary.

Introduction Accelerometry of the upper extremity (UE) potentially provides information on the extent of activities in daily life in patients with Duchenne muscular dystrophy (DMD). The objective of this study is to evaluate the validity of home measurements of UE accelerometry. Methods This was a cross‐sectional study in 16 patients with DMD (aged 7‐17 years). Patients were monitored for 1 to 3 days with two accelerometers on the UE and one accelerometer on the wheelchair. Results The mean intensity of activity and the mean frequency of transfers of arm elevation from low to middle were approximately twofold higher in patients with a Brooke scale score of 1 or 2 than in patients with a Brooke scale score of 3 or 4. Correlations with the Performance of Upper Limb scale score were high for intensity and for the total frequency of arm elevations per hour. Discussion Intensity, percentage of time in middle orientation, and frequency of transfers of the upper arm correlated well with functional measurements.

This is a repository copy of Is it possible to assess the effects of dynamic arm supports on upper extremity range of motion during activities of daily living in the domestic setting using a portable motion capturing device?-A pilot study.

Dutch Trial Register (NTR3941).

Neuromuscular disorders are characterized by muscle weakness that limits upper extremity mobility, but can be alleviated with dynamic arm support devices. Current research highlights the importance and difficulties of evidence-based recommendations for device development. We aim to provide research recommendations primarily concerning upper extremity body functions, and secondarily activity and participation, environmental and personal factors. Evidence was synthesized from literature, ongoing studies, and expert opinions and tabulated within a framework based on a combination of the ICF model and contextual constructs. Current literature mostly investigated the motor capacity of muscle function, joint mobility, and upper body functionality, and a few studies also addressed the impact on activity and participation. In addition, experts considered knowledge on device utilization in the daily environment and characterizing the beneficiaries better important. Knowledge gaps showed that ICF model components and contextual constructs should be better integrated and more actively included in future research. First, integrate multiple ICF model components and contextual constructs within one study design. Second, include the influence of environmental and personal factors when developing and deploying a device. Third, include short-term and long-term measurements to monitor adaptations over time. Finally, include user satisfaction as guidance to evaluate the device effectiveness.