Association of body mass index with progression and prediction of multiple sclerosis

Background/Aim: Multiple sclerosis is a disease whose aetiology involves multifactorial interactions among genetic and environmental factors. Obesity is one of the most important environmental factors conducive to the onset and progression of the disease. The aim of the study was to determine the va...

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Main Authors: Tadić Daliborka, Đajić Vlado, Grgić Sanja, Miljković Siniša
Format: Article
Language:English
Published: Medical Society of the Republic of Srpska, Banja Luka, University of Banja Luka. Faculty of Medicine 2020-01-01
Series:Scripta Medica
Subjects:
bmi
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/2490-3329/2020/2490-33292001034T.pdf
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spelling doaj-32647077798e4608960e23fb6d2b8d152020-11-25T04:09:02ZengMedical Society of the Republic of Srpska, Banja Luka, University of Banja Luka. Faculty of MedicineScripta Medica2490-33292303-79542020-01-0151134402490-33292001034TAssociation of body mass index with progression and prediction of multiple sclerosisTadić Daliborka0Đajić Vlado1Grgić Sanja2Miljković Siniša3University Clinical Centre of the Republic of Srpska, Clinic of Neurology, Banja Luka, The Republic of Srpska, Bosnia and HerzegovinaUniversity Clinical Centre of the Republic of Srpska, Clinic of Neurology, Banja Luka, The Republic of Srpska, Bosnia and HerzegovinaUniversity Clinical Centre of the Republic of Srpska, Clinic of Neurology, Banja Luka, The Republic of Srpska, Bosnia and HerzegovinaUniversity Clinical Centre of the Republic of Srpska, Clinic of Neurology, Banja Luka, The Republic of Srpska, Bosnia and HerzegovinaBackground/Aim: Multiple sclerosis is a disease whose aetiology involves multifactorial interactions among genetic and environmental factors. Obesity is one of the most important environmental factors conducive to the onset and progression of the disease. The aim of the study was to determine the value of body mass index (BMI) in a population of patients with multiple sclerosis compared to the general population, in order to assess the relation between the BMI and physical disability in patients with multiple sclerosis and the influence of the BMI on the course and progression of the disease. Methods: A cross-sectional study was performed in 100 patients suffering from multiple sclerosis (experimental group) and 50 healthy people (control group). In order to determine the degree of physical disability, the Expanded Disability Status Scale (EDSS) was used. Clinical and demographic data and values of the BMI in both studied groups were collected. Statistical analysis included the descriptive statistics, t-test, chi-square test, analysis of variance, correlation and regression analysis. Results: Mean body weight and BMI were significantly higher in the control group (p< 0.05). There was no significant correlation between EDSS and BMI (p = 0.574). There was a correlation between the course of MS and the fact whether BMI was abnormal or normal (p = 0.031). Conclusion: BMI is an environmental factor that significantly correlates with the progression and prediction of multiple sclerosis, but not to the degree of physical disability.https://scindeks-clanci.ceon.rs/data/pdf/2490-3329/2020/2490-33292001034T.pdfmultiple sclerosisbmiprogressionpredictionphysical disability
collection DOAJ
language English
format Article
sources DOAJ
author Tadić Daliborka
Đajić Vlado
Grgić Sanja
Miljković Siniša
spellingShingle Tadić Daliborka
Đajić Vlado
Grgić Sanja
Miljković Siniša
Association of body mass index with progression and prediction of multiple sclerosis
Scripta Medica
multiple sclerosis
bmi
progression
prediction
physical disability
author_facet Tadić Daliborka
Đajić Vlado
Grgić Sanja
Miljković Siniša
author_sort Tadić Daliborka
title Association of body mass index with progression and prediction of multiple sclerosis
title_short Association of body mass index with progression and prediction of multiple sclerosis
title_full Association of body mass index with progression and prediction of multiple sclerosis
title_fullStr Association of body mass index with progression and prediction of multiple sclerosis
title_full_unstemmed Association of body mass index with progression and prediction of multiple sclerosis
title_sort association of body mass index with progression and prediction of multiple sclerosis
publisher Medical Society of the Republic of Srpska, Banja Luka, University of Banja Luka. Faculty of Medicine
series Scripta Medica
issn 2490-3329
2303-7954
publishDate 2020-01-01
description Background/Aim: Multiple sclerosis is a disease whose aetiology involves multifactorial interactions among genetic and environmental factors. Obesity is one of the most important environmental factors conducive to the onset and progression of the disease. The aim of the study was to determine the value of body mass index (BMI) in a population of patients with multiple sclerosis compared to the general population, in order to assess the relation between the BMI and physical disability in patients with multiple sclerosis and the influence of the BMI on the course and progression of the disease. Methods: A cross-sectional study was performed in 100 patients suffering from multiple sclerosis (experimental group) and 50 healthy people (control group). In order to determine the degree of physical disability, the Expanded Disability Status Scale (EDSS) was used. Clinical and demographic data and values of the BMI in both studied groups were collected. Statistical analysis included the descriptive statistics, t-test, chi-square test, analysis of variance, correlation and regression analysis. Results: Mean body weight and BMI were significantly higher in the control group (p< 0.05). There was no significant correlation between EDSS and BMI (p = 0.574). There was a correlation between the course of MS and the fact whether BMI was abnormal or normal (p = 0.031). Conclusion: BMI is an environmental factor that significantly correlates with the progression and prediction of multiple sclerosis, but not to the degree of physical disability.
topic multiple sclerosis
bmi
progression
prediction
physical disability
url https://scindeks-clanci.ceon.rs/data/pdf/2490-3329/2020/2490-33292001034T.pdf
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