Journal Article


A cross sectional assessment of nutrient intake and the association of the inflammatory properties of nutrients and foods with symptom severity, in a large cohort from the UK Multiple Sclerosis Registry

Abstract

To assess the intake of nutrients in people with multiple sclerosis (pwMS) compared to a control population, and to assess the pro/ anti-inflammatory properties of nutrients/ foods and their relationships with fatigue and quality of life. This was a cross sectional study in which 2410 pwMS (686 men; 1721 women, 3 n/a, mean age 53 (11 years)) provided dietary data using a food frequency questionnaire that was hosted on the MS Register for a period of 3 months and this was compared to a cohort of 24,852 controls (11,250 male, 13,602 female, mean age 59 years). Consent was implied by anonymously filling out the questionnaire. A Wilcoxon test was used to compare intake between pwMS and controls, and a bivariate analyses followed by chi2 test were undertaken to identify significance and the strength of the relationship between pro/anti-inflammatory dietary factors and fatigue and EQ-5D. Compared to controls, all nutrients were significantly lower in the MS group (P < .05). Bivariate associations showed a significant correlation between consuming fish and lower clinical fatigue (χ2(1) = 4.221, P< .05), with a very low association (φ (phi) = −0.051, P = .04. Positive health outcomes on the EQ-5D measures were associated with higher carotene, magnesium oily fish and fruits and vegetable and sodium consumption (P < .05). Fiber, red meat, and saturated fat (women only) consumption was associated with worse outcomes on the EQ-5D measures (P < .05). pwMS have different dietary intakes compared to controls, and this may be associated with worse symptoms.

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Authors

Coe, Shelly
Tektonidis, Thanasis G.
Coverdale, Clare
Penny, Sarah
Collett, Johnny
Chu, Bernard T.Y.
Izadi, Hooshang
Middleton, Rod
Dawes, Helen

Oxford Brookes departments

Department of Sport, Health Sciences and Social Work
School of Engineering, Computing and Mathematics

Dates

Year of publication: 2020
Date of RADAR deposit: 2021-01-15


Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License


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