Dataset Information

Fatigue, Physical Activity, Quality of Life, and Fall Risk in People with Multiple Sclerosis.

ABSTRACT:

Background

Fatigue, inactivity, and falls are major health issues for people with multiple sclerosis (MS). We examined the extent to which fatigue and low walking activity are associated with quality of life and increased fall risk in people with MS.

Methods

People with MS (N = 210, aged 21-74 years) were categorized as having either high or low reported fatigue and walking activity levels and were then followed up for falls using monthly fall diaries for 6 months.

Results

A high level of fatigue was significantly associated with higher MS Disease Steps scores, worse balance, high composite physiological (Physiological Profile Assessment) fall risk scores, greater fear of falling, lower World Health Organization Disability Assessment Schedule (WHODAS) quality of life scores, and more prospectively recorded falls. Low walking activity was significantly associated with higher MS Disease Steps scores, reduced proprioception, worse standing and leaning balance, slow stepping, slow gait speed, worse fine motor control, high Physiological Profile Assessment fall risk scores, more fear of falling, and lower WHODAS quality of life scores.

Conclusions

Increased fatigue and low walking activity levels were significantly associated with increased fall risk and lower quality of life in people with MS. Interventions aimed at addressing fatigue and inactivity may have multiple benefits for this group.

SUBMITTER: Vister E

PROVIDER: S-EPMC7313406 | biostudies-literature | 2017 Mar-Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Fatigue, Physical Activity, Quality of Life, and Fall Risk in People with Multiple Sclerosis.

Vister Eva E Tijsma Mylou E ME Hoang Phu D PD Lord Stephen R SR

International journal of MS care 20170301 2

<h4>Background</h4>Fatigue, inactivity, and falls are major health issues for people with multiple sclerosis (MS). We examined the extent to which fatigue and low walking activity are associated with quality of life and increased fall risk in people with MS.<h4>Methods</h4>People with MS (N = 210, aged 21-74 years) were categorized as having either high or low reported fatigue and walking activity levels and were then followed up for falls using monthly fall diaries for 6 months.<h4>Results</h4> ...[more]

PMID: 32607067

Similar Datasets

Project description:BackgroundMultiple sclerosis (MS) is a chronic, neurodegenerative disease that causes a range of motor, sensory, and cognitive symptoms. Due to these symptoms, people with MS are at a high risk for falls, fall-related injuries, and reductions in quality of life. There is no cure for MS, and managing symptoms and disease progression is important to maintain a high quality of life. Mobile health (mHealth) apps are commonly used by people with MS to help manage their health. However, there are limited health apps for people with MS designed to evaluate fall risk. A fall risk app can increase access to fall risk assessments and improve self-management. When designing mHealth apps, a user-centered approach is critical for improving use and adoption.ObjectiveThe purpose of this study is to undergo a user-centered approach to test and refine the usability of the app through an iterative design process.MethodsThe fall risk app Steady-MS is an extension of Steady, a fall risk app for older adults. Steady-MS consists of 2 components: a 25-item questionnaire about demographics and MS symptoms and 5 standing balance tasks. Data from the questionnaire and balance tasks were inputted into an algorithm to compute a fall risk score. Two iterations of semistructured interviews (n=5 participants per iteration) were performed to evaluate usability. People with MS used Steady-MS on a smartphone, thinking out loud. Interviews were recorded, transcribed, and developed into codes and themes. People with MS also completed the System Usability Scale.ResultsA total of 3 themes were identified: intuitive navigation, efficiency of use, and perceived value. Overall, the participants found Steady-MS efficient to use and useful to learn their fall risk score. There were challenges related to cognitive overload during the balance tasks. Modifications were made, and after the second iteration, people with MS reported that the app was intuitive and efficient. Average System Usability Scale scores were 95.5 in both iterations, representing excellent usability.ConclusionsSteady-MS is the first mHealth app for people with MS to assess their overall risk of falling and is usable by a subset of people with MS. People with MS found Steady-MS to be usable and useful for understanding their risk of falling. When developing future mHealth apps for people with MS, it is important to prevent cognitive overload through simple and clear instructions and present scores that are understood and interpreted correctly through visuals and text. These findings underscore the importance of user-centered design and provide a foundation for the future development of tools to assess and prevent scalable falls for people with MS. Future steps include understanding the validity of the fall risk algorithm and evaluating the clinical utility of the app.

Dataset Information

Fatigue, Physical Activity, Quality of Life, and Fall Risk in People with Multiple Sclerosis.

Background

Methods

Results

Conclusions

Publications

Fatigue, Physical Activity, Quality of Life, and Fall Risk in People with Multiple Sclerosis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets