Objectively-assessed physical activity and self-reported activity pacing in adults with multiple sclerosis: A pilot study

Abstract

Objective: To examine the association between self-reported activity pacing (a strategy to manage fatigue symptoms) and objectively-measured physical activity behaviours in adults with multiple sclerosis. Design: Single cross-sectional study Setting: Multiple sclerosis rehabilitation centre in Colchester, United Kingdom. Subjects: Twenty-one adults (59 ± 9 years) with multiple sclerosis. Main measures: Physical activity behaviours (activity level: activity counts per minute; activity variability: highest activity counts per minute each day divided by activity counts per minute on that day) were measured with accelerometers. Self-reported activity pacing (Activity Pacing and Risk of Overactivity Questionnaire), fatigue severity (Fatigue Severity Scale) and health-related quality of life (RAND-12-Item Short-Form Health Survey) were measured. Scatter plots were used to explore associations between measures. Results: Activity level was 258 ± 133 counts per minutes, activity variability was 4 ± 1, self-reported activity pacing was 3 ± 1, fatigue severity was 5 ± 2 and health-related quality of life was 43 ± 8. Increased self-reported activity pacing was associated with lower activity levels and less variability in daily activities. Conclusion: This investigation suggests that people with multiple sclerosis who have low physical activity levels could be inappropriately using activity pacing as a reactionary response to their multiple sclerosis symptoms.

The Role of Cognition and Social Factors in Competition: How Do People with Intellectual Disabilities Respond to Opponents?

“…More specifically, research should further explore if and how the social environment can help people with ID to better regulate their physical activities, reduce their fatigue perceptions, and ensure a long-term engagement in an active lifestyle. Moreover, waist-worn triaxial accelerometers, proxy, and self-reporting measures could be used to assess the physical activity patterns and levels of people with ID within the day [62]. Then, the relationships of the physical activity patterns/levels with social support and guidance could be explored to further explore the importance of the social environment in the sporting participation and physical activity engagement of individuals with ID.…”

Self-regulation of effort for a better health-related quality of life: a multidimensional activity pacing model for chronic pain and fatigue management

“…However, there is a lack of clarity regarding whether individuals pace their activities due to symptom contingency or in anticipation of fatigue, as came forward from a recent meta-analysis [ 64 ]. Symptom contingency refers to the behaviour of increasing pacing as a response to experiencing high symptoms of pain and fatigue [ 16 , 21 , 64 ], while anticipation of fatigue refers to pacing activities to balance exercise regulation more evenly, yet this could also be done by potentially completely avoiding physical activity to prevent the occurrence of imminent symptoms [ 36 , 65 ]. As a result, activity pacing interventions are needed to help individuals develop pacing patterns of activities and rest, tailored to whether they employ symptom contingency or anticipation of fatigue approaches [ 36 ].…”

Failure of Digital Device Performance in Monitoring Physical Exercise in a Pilot Study in Sedentary Persons with HIV

“…The psychological parameters were assessed by validated Italian version questionnaires such as the Profile of Mood States (POMS) [16], Short Form Health Survey 36 (SF-36) [17], Global Physical Activity Questionnaire (GPAQ) [18], Fatigue Severity Scale (FSS) [19], and Activity Pacing Questionnaire 7 (APQ-7) [20].…”