Abstract
PurposeDietary fiber and energy intakes seem to be related to disability and anthropometric indices in multiple sclerosis (MS), a chronic inflammatory disorder of the central nervous system. So, this study was designed to investigate the association between dietary fiber and energy intakes with systemic inflammation, disease severity and anthropometric measurements in MS subjects.Design/methodology/approachFour subtypes of 261 MS volunteers were recruited (female = 210, male = 51; mean age 38.9 ± 8.3). A 168-item food frequency questionnaire and nutritionist IV software were used to estimate the amounts of dietary, insoluble, soluble, crude fiber and energy intakes. Serum hs-CRP, extended disability status scale (EDSS), height, weight and Deurenberg equation were also used to evaluate systemic inflammation, disease severity, body mass index (BMI) and percentage body fat, respectively.FindingsMean differences among the three hs-CRP and EDSS subgroups for dietary fibers and energy intake were significant (p < 0.001). Dietary fiber intake (M = 19.9 ± 4.3 g/day) was a good predictor for EDSS (B = −0.196, p = 0.012), and insoluble fiber intake was introduced as the best predictor of hs-CRP (B = −3.293, p < 0.001). Energy intake predicted both BMI (B = 0.007, p < 0.001) and percentage body fat (B = 0.015, p < 0.001).Originality/valueHypocaloric and high prebiotic fiber diet may suppress systemic inflammation and thereby modulate disease severity, as well as control anthropometric indices.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.