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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A low-fat diet improves fatigue in multiple sclerosis: Results from a randomized controlled trial
|
|---|---|
| Published in |
Multiple Sclerosis Journal, November 2023
|
| DOI | 10.1177/13524585231208330 |
| Pubmed ID | |
| Authors |
Emma Chase, Vicky Chen, Kayla Martin, Michael Lane, Lindsey Wooliscroft, Claire Adams, Jessica Rice, Elizabeth Silbermann, Christopher Hollen, Allison Fryman, Jonathan Q Purnell, Carly Vong, Anna Orban, Angela Horgan, Akram Khan, Priya Srikanth, Vijayshree Yadav |
| Abstract |
Fatigue can be a disabling multiple sclerosis (MS) symptom with no effective treatment options. Determine whether a low-fat diet improves fatigue in people with MS (PwMS). We conducted a 16-week randomized controlled trial (RCT) and allocated PwMS to a low-fat diet (active, total daily fat calories not exceeding 20%) or wait-list (control) group. Subjects underwent 2 weeks of baseline diet data collection (24-hour diet recalls (24HDRs)), followed by randomization. The active group received 2 weeks of nutrition counseling and underwent a 12-week low-fat diet intervention. One set of three 24HDRs at baseline and week 16 were collected. We administered a food frequency questionnaire (FFQ) and Modified Fatigue Impact Scale (MFIS) every 4 weeks. The control group continued their pre-study diet and received diet training during the study completion. We recruited 39 PwMS (20-active; 19-control). The active group decreased their daily caloric intake by 11% (95% confidence interval (CI): -18.5%, -3.0%) and the mean MFIS by 4.0 (95% CI: -12.0, 4.0) compared to the control (intent-to-treat). Sensitivity analysis strengthened the association with a mean MFIS difference of -13.9 (95% CI: -20.7, -7.2). We demonstrated a significant reduction in fatigue with a low-fat dietary intervention in PwMS. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Belgium | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Practitioners (doctors, other healthcare professionals) | 3 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 20% |
| Student > Ph. D. Student | 4 | 20% |
| Researcher | 3 | 15% |
| Student > Master | 2 | 10% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 20% |
| Nursing and Health Professions | 2 | 10% |
| Medicine and Dentistry | 2 | 10% |
| Neuroscience | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 6 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 246. 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 20 December 2023.
All research outputs
#151,953
of 25,523,622 outputs
Outputs from Multiple Sclerosis Journal
#13
of 3,730 outputs
Outputs of similar age
#2,640
of 360,721 outputs
Outputs of similar age from Multiple Sclerosis Journal
#2
of 64 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 360,721 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.