Associations between Activity Pacing, Fatigue, and Physical Activity in Adults with Multiple Sclerosis: A Cross Sectional Study

The measurement of fatigability severity in individuals with multiple sclerosis and healthy controls

BACKGROUND

Multiple Sclerosis (MS) is a chronic disease that substantially diminishes one's ability to undertake daily living activities. Fatigue has been reported by at least 80 % of persons with MS (PwMS). Yet, little is known concerning the quantification of fatigability using prolonged walking tests.

OBJECTIVES

To compare fatigability severity measures using the 10-minute walk test for PwMS against age- and gender-matched healthy controls (HCs).

METHODS

Participants included 53 ambulatory PwMS and 49 HCs. Perceived fatigability was measured by dividing a participant's change in self-reported tiredness by the number of meters walked. Performance fatigability was calculated by dividing the change in walking speed (at 2.5 and 10 min) by the total distance walked in meters.

RESULTS

There was a significant difference in perceived fatigability between PwMS and HCs (mean difference: 2.73 ± 0.83; p = 0.001) and in performance fatigability (mean difference: 0.24 ± 0.11; p = 0.01). Moreover, there were significant differences in speed and distance at all time points (p ≤ 0.05) between PwMS and HCs.

CONCLUSIONS

PwMS have significant walking deficits as reflected by greater fatigability in both perceived and performance measures. These methods can enhance therapeutic strategies that improve the walking performances of PwMS.

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

PURPOSE

To propose a comprehensive multidimensional model of activity pacing that improves health-related quality of life and promotes sustained physical activity engagement among adults with chronic conditions.

MATERIALS AND METHODS

A narrative review was conducted to examine the existing literature on activity pacing, health-related quality of life, pain and fatigue management, and physical activity promotion in chronic conditions.

RESULTS

The literature revealed a lack of a cohesive approach towards a multidimensional model for using activity pacing to improve health-related quality of life. A comprehensive multidimensional model of activity pacing was proposed, emphasizing the importance of considering all aspects of pacing for sustained physical activity engagement and improved health-related quality of life. The model incorporates elements such as rest breaks, self-regulatory skills, environmental factors, and effective coping strategies for depression/anxiety. It takes into account physical, psychological, and environmental factors, all of which contribute significantly to the enhancement of health-related quality of life, physical function, and overall well-being, reflecting a holistic approach.

CONCLUSIONS

The model offers guidance to researchers and clinicians in effectively educating patients on activity pacing acquisition and in developing effective interventions to enhance physical activity engagement and health outcomes among adults with chronic conditions. Additionally, it serves as a tool towards facilitating discussions on sustained physical activity and a healthy lifestyle for patients, which can eventually lead to improved quality of life.

Associations between physical activity patterns and quality of life in persons with type 2 diabetes: A cross sectional study

BACKGROUND

Type 2 diabetes is a major health problem globally and particularly in Ghana. Regular physical activity is important in the management of type 2 diabetes and in improving quality of life of persons with type 2 diabetes. However, there is a lack of data reporting on how physical activity relate to quality of life in persons with diabetes in Ghana. This study explored how physical activity patterns relate to quality of life in persons with type 2 diabetes from a major tertiary hospital in Ghana.

METHODS

One hundred and twenty-one (121) persons with type 2 diabetes (age, 30-60 years) filled in questionnaires on their physical activity patterns (time spent in sitting, walking, moderate-intensity activities, and vigorous-intensity activities) and quality of life (diabetes control, anxiety and worry, social burden, sexual functioning, energy and mobility). The relationships between the variables were examined using spearman correlation.

RESULTS

Time spent in sitting, walking, moderate-intensity activities and vigorous-intensity activities were 1677.7±401.5min, 464.1±296.0MET-min, 241.2±65.8MET-min and 1956.5±1251.0MET-min respectively. Walking was negatively related to energy and mobility (r = -.48, p<0.01), sexual functioning (r = -0.44, p<0.01), social burden (r = -0.41, p<0.01) and diabetes control (r = -0.56, p<0.01) domains of quality of life. Vigorous-intensity activities was negatively related to anxiety and worry (r = -0.20, p<0.05).

CONCLUSIONS

The results suggests that persons with type 2 diabetes who experience decline in energy and mobility, sexual functioning, and disease management, and heightened social burden, anxiety and worry may benefit from guidance on optimal physical activity behaviour in the form of walking to improve their quality of life.

The relevance of pacing strategies in managing symptoms of post-COVID-19 syndrome

BACKGROUND

Post-COVID-19 syndrome (PCS) shares many features with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). PCS represents a major health issue worldwide because it severely impacts patients' work activities and their quality of life. In the absence of treatment for both conditions and given the beneficial effect of pacing strategies in ME/CFS, we conducted this study to assess the effectiveness of pacing in PCS patients.

METHODS

We retrospectively included patients meeting the World Health Organization definition of PCS who attended the Internal Medicine Department of Angers University Hospital, France between June 2020 and June 2022, and were followed up until December 2022. Pacing strategies were systematically proposed for all patients. Their medical records were reviewed and data related to baseline and follow-up assessments were collected. This included epidemiological characteristics, COVID-19 symptoms and associated conditions, fatigue features, perceived health status, employment activity, and the degree of pacing adherence assessed by the engagement in pacing subscale (EPS). Recovery was defined as the ability to return to work, and improvement was regarded as the reduction of the number and severity of symptoms.

RESULTS

A total of 86 patients were included and followed-up for a median time of 10 [6-13] months. Recovery and improvement rates were 33.7% and 23.3%, respectively. The EPS score was the only variable significantly associated with recovery on multivariate analysis (OR 40.43 [95% CI 6.22-262.6], p < 0.001). Patients who better adhered to pacing (high EPS scores) experienced significantly higher recovery and improvement rates (60-33.3% respectively) than those with low (5.5-5.5% respectively), or moderate (4.3-17.4% respectively) scores.

CONCLUSION

Our findings demonstrated that pacing is effective in the management of patients with PCS, and that high levels of adherence to pacing are associated with better outcomes.

Evaluation of unsupervised 30-second chair stand test performance assessed by wearable sensors to predict fall status in multiple sclerosis

BACKGROUND

One in two people with multiple sclerosis (PwMS) will fall in a three-month period. Predicting which patients will fall remains a challenge for clinicians. Standardized functional assessments provide insight into balance deficits and fall risk but their use has been limited to supervised visits.

RESEARCH QUESTION

The study aim was to characterize unsupervised 30-second chair stand test (30CST) performance using accelerometer-derived metrics and assess its ability to classify fall status in PwMS compared to supervised 30CST.

METHODS

Thirty-seven PwMS (21 fallers) performed instrumented supervised and unsupervised 30CSTs with a single wearable sensor on the thigh. In unsupervised conditions, participants performed bi-hourly 30CSTs and rated their balance confidence and fatigue over 48-hours. ROC analysis was used to classify fall status for 30CST performance.

RESULTS

Non-fallers (p = 0.02) but not fallers (p = 0.23) differed in their average unsupervised 30CST performance (repetitions) compared to their supervised performance. The unsupervised maximum number of 30CST repetitions performed optimized ROC classification AUC (0.79), accuracy (78.4%) and specificity (90.0%) for fall status with an optimal cutoff of 17 repetitions.

SIGNIFICANCE

Brief durations of instrumented unsupervised monitoring as an adjunct to routine clinical assessments could improve the ability for predicting fall risk and fluctuations in functional mobility in PwMS.

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

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.

Assessment of Activity Pacing in Relation to Physical Activity and Health-Related Quality of Life in Adults with Multiple Sclerosis: A Foundation for Further Intervention Development

BACKGROUND

Activity pacing is a behavioral strategy for coping with fatigue, optimizing physical activity (PA) levels, and achieving a paced approach to lifestyle and sustainable self-regulated exercise practice to optimize health and well-being. Yet little is known about how activity pacing affects PA and health-related quality of life (HRQOL) while controlling for fatigue and demographic characteristics over time in adults with multiple sclerosis (MS). This study examined the natural use of activity pacing and how it is associated with PA and HRQOL over time in adults with MS.

METHODS

Sixty-eight adults with MS (mean ± SD age, 45.2 ± 10.9 years) completed questionnaires on their activity pacing, fatigue, PA, and HRQOL 14, 33, and 52 weeks after rehabilitation. Associations between the variables were examined using multilevel models.

RESULTS

No associations were found between activity pacing and PA (β = -0.01, P = .89) or between activity pacing and HRQOL (β = -0.15, P = .09).

CONCLUSIONS

This study provides an initial understanding of how activity pacing relates to PA and HRQOL in people with MS over time and indicates that there is no clear strategy among adults with MS that is successful in improving PA and HRQOL in the short or long term. Persons with MS may benefit from goal-directed activity pacing interventions to improve longitudinal engagement in PA, and the present study provides a foundation for further intervention development.

Assessing multiple sclerosis-related quality of life among Iranian patients using the MSQOL-54 tool: a cross-sectional study

BACKGROUND

Multiple sclerosis (MS) is a chronic autoimmune disease and is one of the most costly medical conditions that imposed families with catastrophic health expenditures. There is an increasing trend in using alternative medicines including, dietary supplements, herbs, vitamins, and minerals. To date, the association between dietary as well as herbal supplements and QoL in MS patients is under researched; thus, this study aimed to assess the association between the self-reported supplement used and QoL between MS patients.

METHODS

This cross-sectional study was conducted on patients with MS referring to Shahid Kazemi Pharmacy, based in the city of Tehran, Iran, as a national pharmacy providing specialized pharmaceutical products and pharmaceutical care to patients. The Multiple Sclerosis Quality of Life-54 (MSQoL-54) tools was performed to evaluate MS patients QoL.

RESULTS

A total number of 382 patients with MS participated in this study. They include 89 (23.3%) men and 293 (76.7%) women, aged 40 ± 10.9 years old. The overall score of the MSQoL-54 questionnaire was 41.58 out of 100. Physical health composite (PHC) and mental health composite (MHC) were 69.60 and 62.99 from 100, respectively. This study revealed that 76.4% of patients used at least one vitamin daily; 92.4% of patients do not receive any herbal product. Vitamin D is the most widely used supplement, followed by calcium, while vitamin C is the least consumed. No correlation was observed regarding supplement use and overall QoL, PHC, or MHC. There were no significant differences between QoL's dimensions score in patients who used supplements. The results showed that increasing the number of supplements used did not relate to overall QoL, PHC, or MHC. In addition, there was not any correlation between the duration used of supplements and QoL's dimensions score in MS patients (p-value> 0.05).

CONCLUSIONS

The dietary supplement appears to be popular among MS patients. The study results showed that the number of supplementations and their long-term use in patients with MS were not associated with higher QoL. Similarly, the herbal supplements have failed to improve QoL.

Exercise Evaluation and Prescription

Ever since the farm boy, Milo of Crotone, lifted a growing bullock every day, to become the strongest man in the world, and six-time champion of the ancient Olympic Games, we have known about the principle of progression of exercise training [...].

Effect of a Tailored Activity Pacing Intervention on Fatigue and Physical Activity Behaviours in Adults with Multiple Sclerosis

Tailored activity pacing could help manage fatigue and improve physical activity. However, little is known about how to tailor activity pacing for people with multiple sclerosis. This study aims to evaluate the effect of a tailored activity pacing intervention on fatigue and physical activity behaviours in adults with multiple sclerosis. Twenty-one adults with multiple sclerosis, stratified by age and gender, are randomly allocated to either a tailored pacing or control group. Participants wear an accelerometer for seven days that measures physical activity behaviours, and self-report fatigue at the baseline and four-week follow-up. Physical activity behaviours are assessed by examining activity level (seven-day average activity counts per minute) and activity variability (seven-day average highest activity counts each day divided by activity counts on that day). The intervention improves activity levels (Mean difference = 40.91; 95% Confidence Interval [CI] (3.84-77.96); p = 0.03) and lessens activity variability (Mean difference = -0.63; 95% CI (-1.25-0.02); p = 0.04). No significant effect is found for fatigue (Mean difference = -0.36; 95% CI (-1.02-0.30); p = 0.27). This investigation shows that tailoring activity pacing based on physical activity behaviours and fatigue is effective in improving physical activity levels, without exacerbating fatigue symptoms.

Factors Influencing Walking and Exercise Adherence in Healthy Older Adults Using Monitoring and Interfacing Technology: Preliminary Evidence

BACKGROUND

Monitoring and interfacing technologies may increase physical activity (PA) program adherence in older adults, but they should account for aspects influencing older adults' PA behavior. This study aimed at gathering preliminary wrist-based PA adherence data in free-living and relate these to the influencing factors.

METHODS

Ten healthy older adults (4 females, aged 70-78 years) provided health, fatigue, activity levels, attitude towards pacing, and self-efficacy information and performed a 6 min-walk test to assess their fitness. After a baseline week they followed a two-week walking and exercise intervention. Participants saw their progress via a purposely designed mobile application.

RESULTS

Walking and exercise adherence did not increase during the intervention (p = 0.38, p = 0.65). Self-efficacy decreased (p = 0.024). The baseline physical component of the Short Form Health Survey was the most predictive variable of walking adherence. Baseline perceived risk of over-activity and resting heart rate (HRrest) were the most predictive variables of exercise adherence. When the latter two were used to cluster participants according to their exercise adherence, the fitness gap between exercise-adherent and non-adherent increased after the intervention (p = 0.004).

CONCLUSIONS

Risk of over-activity and HRrest profiled short-term exercise adherence in older adults. If confirmed in a larger and longer study, these could personalize interventions aimed at increasing adherence.