| Title |
Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights
|
|---|---|
| Published in |
Journal of Behavioral Medicine, March 2017
|
| DOI | 10.1007/s10865-017-9840-4 |
| Pubmed ID | |
| Authors |
Daniel J. H. Powell, Christina Liossi, Wolff Schlotz, Rona Moss-Morris |
| Abstract |
Studies investigating the prevalence, cause, and consequence of multiple sclerosis (MS) fatigue typically use single measures that implicitly assume symptom-stability over time, neglecting information about if, when, and why severity fluctuates. We aimed to examine the extent of moment-to-moment and day-to-day variability in fatigue in relapsing-remitting MS and healthy individuals, and identify daily life determinants of fluctuations. Over 4 weekdays, 76 participants (38 relapsing-remitting MS; 38 controls) recruited from multiple sites provided real-time self-reports six times daily (n = 1661 observations analyzed) measuring fatigue severity, stressors, mood, and physical exertion, and daily self-reports of sleep quality. Fatigue fluctuations were evident in both groups. Fatigue was highest in relapsing-remitting MS, typically peaking in late-afternoon. In controls, fatigue started lower and increased steadily until bedtime. Real-time stressors and negative mood were associated with increased fatigue, and positive mood with decreased fatigue in both groups. Increased fatigue was related to physical exertion in relapsing-remitting MS, and poorer sleep quality in controls. In relapsing-remitting MS, fatigue fluctuates substantially over time. Many daily life determinants of fluctuations are similar in relapsing-remitting MS and healthy individuals (stressors, mood) but physical exertion seems more relevant in relapsing-remitting MS and sleep quality most relevant in healthy individuals. |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 10 | 43% |
| United States | 3 | 13% |
| Australia | 1 | 4% |
| Italy | 1 | 4% |
| Austria | 1 | 4% |
| Ireland | 1 | 4% |
| Unknown | 6 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 43% |
| Scientists | 9 | 39% |
| Practitioners (doctors, other healthcare professionals) | 4 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 121 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 14% |
| Student > Master | 17 | 14% |
| Researcher | 16 | 13% |
| Student > Bachelor | 14 | 12% |
| Student > Doctoral Student | 8 | 7% |
| Other | 18 | 15% |
| Unknown | 31 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 27 | 22% |
| Nursing and Health Professions | 16 | 13% |
| Medicine and Dentistry | 11 | 9% |
| Neuroscience | 7 | 6% |
| Computer Science | 3 | 2% |
| Other | 16 | 13% |
| Unknown | 41 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 October 2022.
All research outputs
#1,285,009
of 23,482,849 outputs
Outputs from Journal of Behavioral Medicine
#111
of 1,091 outputs
Outputs of similar age
#27,214
of 309,141 outputs
Outputs of similar age from Journal of Behavioral Medicine
#4
of 22 outputs
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